Using Driving Simulator for Advance Placement of Guide Sign Design for Exits along Highways
|
|
- Andrea Shields
- 5 years ago
- Views:
Transcription
1 Using Driving Simulator for Advance Placement of Guide Sign Design for Exits along Highways Fengxiang Qiao, Xiaoyue Liu, and Lei Yu Department of Transportation Studies Texas Southern University 3100 Cleburne Street, Houston, TX 77004, USA Abstract One of the most important and effective ways to smoothly guide drivers, especially the outlanders, is the advance placement of guide signs. The current MUTCD provides general guidelines in deploying guide signs but does not give a methodology to determine the advance placement distance of the guide signs taking important variables into consideration. This research proposes an operational procedure using driving simulator to estimate the advance placement distance for guide signing. A probability-based model to describe the traffic flow around the subject vehicle has been employed, while its parameters are calibrated based on the field data. The ambient vehicles are coded accordingly in the driving simulator through different simulation scenarios. Test participants are exposed to different traffic conditions and advance placements of signs. The experimental design focuses on investigating different lane positions of the subjects, lanechanging behaviors, and traffic flow rates that affect the placement of the sign. The participants are asked to complete the test questionnaires, and the results are recorded in two categories: (1) subject responses to the effectiveness of the advance placement, and (2) objective records of driver s choices at exits. These data are further analyzed with various combinations of independent and dependent variables designed. Based on the analytical results, the optimal advance placement of signs is recommended that considers the drivers various behaviors and their physical location on roadway. Résumé Dr. Fengxiang Qiao is an Assistant Professor of Department of Transportation Studies, the director of Center for Modeling and Simulation (CMS), and a leading researcher of Center for Driver Behavior (CDB), Texas Southern University (TSU). Dr. Qiao s research interests include driving behavior study, traffic and transportation simulation, intelligent transportation forecasting and simulation, intelligent data processing and archiving. In recent years, he has published more than 60 academic journal papers, peer-reviewed conference papers, and research reports.
2 Introduction Drivers, especially those who are not familiar with the specific highways that they use, would rely on guide signs for information such as interchange approaches, names of streets or freeways, upcoming major traffic generators, etc. Advance guide signs, which notify drivers of the interchanges or ramps, play important roles on freeways. The lack of guide signs may cause problems if drivers do not recognize a necessary lane change early enough (Upchurch, 2005). The 2003 Manual on Uniform Traffic Control Devices (MUTCD, 2003) offers standards, guidance, and options for freeway guide signing, but it did not provide systematical methodology to determine placement of signs. For example, for major and intermediate interchanges, it indicates that advance guide signs should be placed 1 km (or 0.5 miles), and 2 km (or 1 mile) in advance of an exit. However, it does not offer guidelines for installing guide signs within 0.5 miles from exits. Recently, some pilot studies of sign and signal placement have been initiated. Zwahlen (2003) evaluated the placement of diagrammatic on-ramp advance guide signs based on a field test. Li (2006) proposed a geometric-relation-based operational model for advance sign placement. Wang (2007) presented an analytical model relating the ramp signal placement with geometry, speed, and drivers characteristics. However, these approaches did not consider the dynamic driving behaviors, and thus are not capable of effectively placing advance guide signs. The objective of this research is to use driving simulator to determine the placement of advance guide signs and arrow exit sign, and to identify the sight distances for road signs and factors that may limit drivers reaction time. This information will further decide the effectiveness of the placed signs. Driving Simulator The Driving Simulator on a fixed base at Texas Southern University (TSU) is a fully integrated, immersive driving simulation system of high fidelity. It is designed for ground vehicle research and training applications. It provides multi-channel audio/visual systems, with 180, 240, 300 and 360 wraparound display options, a full-width automobile cab including windshield, driver and passenger seats, central console, dash and instrumentation, plus real-time motion simulation through Q-Motion platform. Drivers have control of the acceleration pedal, brake pedal, and the steering wheel, exactly like what they do in a real automobile. The scene transmitted onto the screen board is refreshed 60 times per second. Data about driver s position, velocity and brake pressure can be collected easily. This system allows researchers the ability to collect meaningful data about driver performance in a variety of different driving situations (HyperDrive, 2007). The whole experiment was conducted in the Driving Simulator at TSU (See Figure 1). All of the geometric characteristics of the freeway and guide signings are re-created using HyperDrive TM software to demonstrate a simulated environment. This allows the visual
3 driving experience through the simulated environment to be a replication of authentic driving experience, as on a real site. Figure 1 The TSU owned driving simulator DriveSafety DS-600c Methodology Description The proposed methodology evaluates the placement of advance guide sign for exits along highways, taking into consideration critical variables including traffic flow rate, number of lanes, designed speeds of main lanes and exit lane, number of exits within one mile, etc. (See Figure 2) Traffic Flow Heavy Traffic Light Traffic No. of Lanes No. of Exits within one mile Designed Speed 55mph 60mph 65mph Figure 2 Variables affecting the placement of advance guide sign For different combinations of highway geometry and characteristics, the scenarios in driving simulator are designed and tested by subjects. Data related to subject driver s trajectory can be collected in the driving simulator. The data needed can be classified as objective one and subjective one (Table 1). Table 1 Data Collected Data Type Items Correct Response Objective Data Distance during lane change from leftmost to rightmost lane Distance between the sign and driver clearly sees the sign (programmable button) Subjective Data Survey Result The research would distribute different weights to each item based on different concerns. With all the information, a conclusion can be drawn to determine the optimal alternative for the placement of sign. Case Study As illustrated, the case study demonstrates a procedure of using driving simulator to determine the placement of advance guide sign. The case study is a simplified version of the methodology, which only includes one variable (traffic flow).
4 Two experiments were designed. Experiment 1 was to determine the necessity to place a guide sign 1/4 mile ahead of the exits. Experiment 2 was to determine the appropriate distance from exit where the arrow exit sign should be installed. With different experiments, this research analyzed the effect of heavy and light traffic flow. Based on the Level-of-Service (LOS) criteria 1 for multilane highways (Highway Capacity Manual, 2000), the free flow speed for the experiment is 60mph. The heavy traffic flow was selected as level D, and a light traffic flow was defined as level B. Tests were conducted under both flow statuses so as to incorporate the influence of traffic flow variations. Micro-simulation Process Traffic Flow Generation To achieve the utmost sense of reality, the simulating system first generates a series of backdrop vehicles around the subject vehicle with certain speed. The distribution of the headways between the generated vehicles follows negative exponential distribution. Specifically speaking, the vehicles will be generated at an interval h, calculated by the following equation: h = ( H avg hmin )[ ln(1 R)] + H avg hmin (1) where, h is the time interval; H avg is the average headway; h min is the minimum headway; and R is a random number in the range of 0.0 to 1.0. The different vehicle types are also taken into consideration. The percentage of heavy vehicles is counted from U.S. Highway 101 (Hollywood Freeway) in Los Angeles, California collected between 7:50am and 8:05am on June 15, 2005 (NGSIM, 2005). Vehicle Movement The vehicle movements are controlled by a dynamic model, which consists of two parts. One is the determination of the vehicles accelerations for each frame; the other is the lane change model. The acceleration is determined by the vehicle dynamics based on the desired acceleration and other factors such as current velocity and distance to lead vehicle. Scenario Design Experiment 1 A 3-lane freeway with an exit is simulated in Experiment 1 containing two scenarios. Scenario 1 is around N. MacGregor Way exit, with advance guide signs of 1 mile, half mile and a quarter mile; Scenario 2 is around the Kirby Dr. exit, with advance guide signs of 1 mile and half mile (See Figure 3 (a) and (b) ). Subjects would drive under these two scenarios with a traffic flow condition of LOS B. Experiment 2 1 Level-of-Service (LOS) criteria is defined as six levels from level A to F with A as the free flow status, and F the jam status.
5 The simulated freeway segment is a 3-lane T- interchange in Houston, with a fourth lane appearing 520m before the exit. Three different horizontal positions of the Almeda Rd. exit signs (near the exit point, 1/4 mile from the exit, and 3/8 mile from the exit) were tested (See Figure 3 (c)). For each placement, two traffic flow conditions (light, heavy) were designed for a comprehensive comparison. Besides the arrow exit sign, 1 mile and half-mile advance guide signs were installed as well, based on the real situation. Alternative 1 Alternative 2 Alternative 3 (a) Scenario 1 in Experiment 1 (b) Scenario 2 in Experiment 1 (c) Alternatives in Experiment 2 Figure 3 Scenarios designed in Experiment 1 and 2 It was hypothesized that the visibility of each sign had something to do with the lane in which the driver was located, and the cognitive demands on the driver. In order to determine the effect of these factors on driver performance, the following items were indicated: 1. The driver s starting lane - The initial position of driver was the leftmost lane, while the tested signs were all indicating the exit on the right. 2. Cognitive demands - The subjects were told to press the programming button when they clearly recognize the guide signs. Subject Test Experiment 1 Twenty-four test subjects participated in Experiment 1 (aging from 23 to 45 with 18 males and 6 females), and were divided into 2 groups. The scenario with a quarter-mile sign was tested by group one; the one without such sign was tested by group two. Participants were instructed before the experiment to exit at N. Macgregor Way (with the quarter-mile sign) and Kirby Dr. (without the quarter-mile sign). All participants were not familiar with the exit sign sequence or geometry before the tests. The operational variables and coordinates of the test vehicles when subjects pressed the button were taken down, and the number of missed or late exits was recorded. Subjects were asked to fill out a posterior questionnaire immediately after the completion of the driving. Experiment 2
6 Twenty-four test subjects participated in Experiment 2 (aging from 23 to 45 with 18 males and 6 females). For each of the three placement alternatives, there were heavy and light traffic flow situations. Test Result and Analysis Experiment 1 General Error For the freeway test with the quarter-mile sign, one person did not have enough reaction time to take the correct exit. For the one without quarter-mile sign, 3 subjects failed to take the correct exit. While due to the limited sample size, one or three failure(s) of taking a designated exit may not directly imply whether a guide sign is necessary or not, the analyses of the performance of these failure vehicles details could be helpful to even large sample tests in the future. Lane Position When Subjects Pressed the Button Table 2 shows the positions of subjects when they pressed the button. For the test with quarter-mile sign, when subjects pressed the button to report their recognition of 1/4 mile sign, 8 of the total 12 subjects were already in the rightmost lane. For the one without quarter-mile sign, 7 of the total 12 subjects were in the rightmost lane when they saw the half-mile sign. This means that for drivers who are not familiar with the specific highway, they either tend to drive in the rightmost lane for any unexpected exit(s) no matter whether a quarter-mile sign is there or not; or they have obtained enough information from the 1 mile, 1/2 mile advance guide signs. Table 2 Number of subject vehicle in different lane positions lane position when see 1/2 mile sign lane position when see 1/4 mile sign Scenario leftmost middle rightmost leftmost middle rightmost Scenario Scenario N/A Table 3 shows the lane position of the subjects who failed to take the correct exit. The error data for Scenario 2 indicates that, even after the subject (ID R in Table 3) saw the 1/2 mile sign, he/she did not change to the exit lane (lane 3). This means either the advance guide signs did not have much effect on the subject, or the subject thought there would be enough time to change lane later and exit successfully. Table 3 Lane position of subjects who failed to take the exit Error Data lane position when see lane position when see lane position at exit point Subject ID 1/2 mile sign 1/4 mile sign Scenario B Scenario C Scenario 2 2 N/A 2 R Scenario E Speed Influence The average speed of subject vehicles conducting the test was mph (standard deviation 3.95mph), under a speed limit of 60 mph. And there were 4.5% of heavy vehicles among the traffic flow. Table 4 shows the mean speeds and the speeds when erred subjects pressed button. Both subject C and R did not change their lanes when driving between ½ mile and the
7 exit. Using a Student's-distribution with degree of freedom 11 for all speed data, the 95% confidence interval is [57.03, 61.85], while the 99% confidence interval is [54.79, 64.51]. So the mean speeds of subject C and R not only exceed the speed limit 60 mph, but also are out of the 99% and 95% confidence intervals, respectively. Therefore, speed, instead of the ¼ mile guide sign, most likely plays an important role in their failures toward the correct exits. By eliminating the influence of speed, it is possible that there is no noticeable difference between Scenario 1 (with ¼ mile guide sign) and Scenario 2 (without ¼ mile guide sign). Further larger scale tests on whether ¼ mile guide sign is truly necessary are recommended. Table 4 Speed of subjects who failed to take the exit Error Data Lane positions shift Subject Mean SpeedSpd. when press button for ½ mile guide sign from 1/2 mile to exit point ID Scenario 1 2-> mph 57.90mph B Scenario 2 3-> mph 66.79mph C Scenario 2 2-> mph 62.89mph R Scenario 2 2-> mph 58.70mph E Survey Result Analysis The posterior survey aims at collecting subjects feeling after experiments, which were then combined with test results for a comprehensive conclusion. The survey shows that 15.4% of the subjects thought the quarter-mile sign was helpful, 30.8% of them thought it was somewhat helpful, while 46.2% subjects thought this sign would be more helpful under much complicated situations, such as there are more exits within one mile, or more lanes. 7.6% of the respondents thought it was not helpful at all. For the specific situation of 3-lane freeway with one exit, quarter-mile sign might not be essential. However, this needs the validation from large scale sample tests in the future. Experiment 2 General Error For the arrow exit sign near the exit point in light traffic, 1 person failed to take the correct exit; and for the one in heavy traffic, 2 people failed to exit. For the arrow exit sign installed in the 1/4 mile scenarios, all the subjects took the correct exit. For the arrow sign installed at 3/8 mile, 1 person failed to take the correct exit under light, and 1 failed under heavy traffic. Similar to Experiment 1, the analyses of these limited failure vehicles cannot definitely conclude the necessity of arrow signs, but, they could be helpful to larger sample tests in the future. Lane Change Conducted After Subjects Saw the Arrow Exit Sign Figure 4 shows the lane change conducted after the subjects recognized the arrow exit sign. The assumption here is that, the more people made lane change after they saw the sign, the more effective the sign would be. However, the number of lane change is not the sole factor that affects the effectiveness of placement. Since all the subjects were unfamiliar to the freeway segment, after the fourth lane appeared (520m from the exit, see Figure 3(c)), the lane change that flowed vehicles into lane 4 (the new rightmost lane,) could be an indicator that this alternative of placement is more effective.
8 Lane Change Conducted After Saw the Arrow Sign No. of Subjects Alternative Figure 4 Lane change conducted after subjects saw the arrow sign (A= Alternative) Table 5 lists the destination lanes under light traffic. In Table 5 although alternative 3 showed the most number (4) of lane changes, only 2 of them were directed to the fourth lane. Thus, if the T-interchange is a 3-1 split type, these two people would further miss the exit. Also, alternative 3 is the placement of arrow exit sign around 3/8 mile from the exit. The subjects saw it right after the 1/2 mile sign, so it may be under the illusion that there is still a long way to the exit. Table 5 Destination lane of lane change under light traffic Alternative Light Traffic No. of Lane Change Change to the fourth lane Alternative Alternative Alternative Influence of Speed Table 6 shows the speed information under each scenario. It indicates that within the same traffic situation (light or heavy), the speed of the subject vehicles did not show much differences among the alternatives. Table 6 Speed information for each scenario Traffic Conditions Alternative Mean Speed Standard Deviation Alternative mph 6.35mph Light Alternative mph 6.49mph Alternative mph 5.44mph Alternative mph 7.24mph Heavy Alternative mph 4.96mph Alternative mph 8.12mph Survey Result Analysis The posterior survey indicates that all the subjects thought the arrow exit sign was helpful in providing the exit information, except for the difference in extent (31% thought it was very helpful, 46.2% thought it was helpful, and 22.8% thought it was somewhat helpful). The placement preference of the arrow exit sign was in accordance with experimental result (23.1% thought it would be installed just at the exit point, 53.8% preferred the instalment around 1/4 mile from the exit, another 23.1% thought it would be installed around 3/8 mile from the exit).
9 Considering the survey with test results jointly, for the specific situation of 3-lane freeway T-intersection type, it is potential that arrow exit sign can be installed around 1/4 mile from the exit. Further conclusions would be based on future large sample tests. Conclusion 2 This paper presents an experimental procedure to evaluate the placement of guide signs. While the test results may not be comprehensive due to the limited sample size, it provides a repetitive procedure to determine the sign placement. This research involves two experiments: one for determining the necessity of installing the quarter-mile advance guide sign on highway; the other one for determining the placement of arrow exit sign along highway. A comparison among different scenarios under various traffic conditions and sign placements was conducted. It is concluded that for the 3-lane highway with one exit within one mile, there may not be too much necessity to install the 1/4 mile guide sign. And the arrow sign can potentially be installed at around 1/4 mile from the exit point. In this research, twenty-four test subjects participated in both experiments, with one to three subjects missed the correct exits. On the whole, this preliminary study with small sample size tests will lead to the knowledge for designing large sample experiments to further recommend optimal sign placements based on driver s comprehension. Reference 1. HyperDrive & Vection User's Guide Version , DriveSafety Inc., FHWA. Last Accessed June 08, Li, J., C. Lan, D. Chimba, A Supplement to Advance Guide Sign Placement Guidelines in MUTCD. In Transportation Research Board 85 th Annual Meeting compendium of papers, CD- ROM. Transportation Research Board of the National Academies, Washington, D.C., Li, J., C. Lan, D. Chimba, A Supplement to Advance Guide Sign Placement Guidelines in MUTCD. In Transportation Research Board 85 th Annual Meeting compendium of papers, CD- ROM. Transportation Research Board of the National Academies, Washington, D.C., Manual on Uniform Traffic Control Devices for Streets and Highways, adopted by the Federal Highway Administration, Upchurch, J., D. L. Fisher, and B. Waraich. Guide Signing for Two-Lane Exits with an Option Lane: A Human Factors Evaluation. In Transportation Research Board 84 th Annual Meeting compendium of papers, CD-ROM. Transportation Research Board of the National Academies, Washington, D.C., Wang, Z., Placement Design of Ramp Control Signals, In Transportation Research Board 86 nd Annual Meeting compendium of papers, CD-ROM. Transportation Research Board of the National Academies, Washington, D.C., Zwahlen, H. T., A. Russ, J. M. Roth, T. Schnell, Evaluation of the Effectiveness of Ground Mounted Diagrammatic Advance Guide Signs for Freeway Entrance Ramps. In Transportation Research Board 82 nd Annual Meeting compendium of papers, CD-ROM. Transportation Research Board of the National Academies, Washington, D.C., The authors acknowledge the sponsorship of TxDOT research project , the project director Ismael Soto, test participants, the language editor Dr. Haiqing Sun, and other personnel that contribute to this research directly or indirectly.
Proposed Watertown Plan Road Interchange Evaluation Using Full Scale Driving Simulator
0 0 0 0 Proposed Watertown Plan Road Interchange Evaluation Using Full Scale Driving Simulator Kelvin R. Santiago-Chaparro*, M.S., P.E. Assistant Researcher Traffic Operations and Safety (TOPS) Laboratory
More informationIowa Research Online. University of Iowa. Robert E. Llaneras Virginia Tech Transportation Institute, Blacksburg. Jul 11th, 12:00 AM
University of Iowa Iowa Research Online Driving Assessment Conference 2007 Driving Assessment Conference Jul 11th, 12:00 AM Safety Related Misconceptions and Self-Reported BehavioralAdaptations Associated
More informationAn Application for Driving Simulator Technology: An Evaluation of Traffic Signal Displays for Protected-Permissive Left-Turn Control
An Application for Driving Simulator Technology: An Evaluation of Traffic Signal Displays for Protected-Permissive Left-Turn Control By Michael A. Knodler Jr. University of Massachusetts Amherst 214C Marston
More informationFocus Group Participants Understanding of Advance Warning Arrow Displays used in Short-Term and Moving Work Zones
Focus Group Participants Understanding of Advance Warning Arrow Displays used in Short-Term and Moving Work Zones Chen Fei See University of Kansas 2160 Learned Hall 1530 W. 15th Street Lawrence, KS 66045
More informationON USING PERFECT SIGNAL PROGRESSION AS THE BASIS FOR ARTERIAL DESIGN: A NEW PERSPECTIVE
ON USING PERFECT SIGNAL PROGRESSION AS THE BASIS FOR ARTERIAL DESIGN: A NEW PERSPECTIVE Samuel J. Leckrone, P.E., Corresponding Author Virginia Department of Transportation Commerce Rd., Staunton, VA,
More informationOperational and Safety-Based Analyses of Varied Toll Lanes
Operational and Safety-Based Analyses of Varied Toll Lanes Didier Valdés, PhD, University of Puerto Rico at Mayagüez Department of Civil Engineering and Surveying Benjamín Colucci, PhD, University of Puerto
More informationDriving Performance in a Simulator as a Function of Pavement and Shoulder Width, Edge Line Presence, and Oncoming Traffic
University of Iowa Iowa Research Online Driving Assessment Conference 2005 Driving Assessment Conference Jun 29th, 12:00 AM Driving Performance in a Simulator as a Function of Pavement and Shoulder Width,
More informationComparison of Wrap Around Screens and HMDs on a Driver s Response to an Unexpected Pedestrian Crossing Using Simulator Vehicle Parameters
University of Iowa Iowa Research Online Driving Assessment Conference 2017 Driving Assessment Conference Jun 28th, 12:00 AM Comparison of Wrap Around Screens and HMDs on a Driver s Response to an Unexpected
More informationMOBILITY RESEARCH NEEDS FROM THE GOVERNMENT PERSPECTIVE
MOBILITY RESEARCH NEEDS FROM THE GOVERNMENT PERSPECTIVE First Annual 2018 National Mobility Summit of US DOT University Transportation Centers (UTC) April 12, 2018 Washington, DC Research Areas Cooperative
More informationAssessments of Grade Crossing Warning and Signalization Devices Driving Simulator Study
Assessments of Grade Crossing Warning and Signalization Devices Driving Simulator Study Petr Bouchner, Stanislav Novotný, Roman Piekník, Ondřej Sýkora Abstract Behavior of road users on railway crossings
More informationSDSU NEW STUDENT HOUSING PROJECT ENVIRONMENTAL IMPACT REPORT Final EIR Comments and Responses
FINAL SDSU NEW STUDENT HOUSING PROJECT ENVIRONMENTAL IMPACT REPORT Final EIR Comments and Responses SCH# 2016121025 Prepared for: 5500 Campanile Drive San Diego, California 92182-1624 Contact: Laura Shinn
More informationEXTRACTING REAL-TIME DATA FROM A DRIVING SIMULATOR SEYED AMIRHOSSEIN HOSSEINI. Bachelor of Engineering in Civil Engineering QIAU May 2012
EXTRACTING REAL-TIME DATA FROM A DRIVING SIMULATOR SEYED AMIRHOSSEIN HOSSEINI Bachelor of Engineering in Civil Engineering QIAU May 2012 submitted in partial fulfillment of requirements for the degree
More informationDevelopment and Validation of Virtual Driving Simulator for the Spinal Injury Patient
CYBERPSYCHOLOGY & BEHAVIOR Volume 5, Number 2, 2002 Mary Ann Liebert, Inc. Development and Validation of Virtual Driving Simulator for the Spinal Injury Patient JEONG H. KU, M.S., 1 DONG P. JANG, Ph.D.,
More informationSection 7 Specification 7.2 Painted Roadway Lines TABLE OF CONTENTS
TABLE OF CONTENTS 7.2 PAINTED ROADWAY LINES... 1 7.2.1 GENERAL... 1 7.2.1.1 Description... 1 7.2.1.2 Contractor Quality Control Inspection Plan... 1 7.2.2 MATERIALS... 1 7.2.3 EQUIPMENT... 1 7.2.3.1 General...
More informationCHAPTER 14: TRAFFIC SIGNAL STANDARDS Introduction and Goals Administration Standards Standard Attachments 14.
14.00 Introduction and Goals 14.01 Administration 14.02 Standards 14.03 Standard Attachments 14.1 14.00 INTRODUCTION AND GOALS The purpose of this chapter is to outline the City s review process for traffic
More informationEvaluation of Real-World Toll Plazas Using Driving Simulation
Evaluation of Real-World Toll Plazas Using Driving Simulation Mohamed Abdel-Aty, PhD, PI Pegasus Professor, Chair Department of Civil, Environmental and Construction Engineering University of Central Florida
More informationProposed Watertown Plank Road Interchange Evaluation Using a Full Scale Driving Simulator
Proposed Watertown Plank Road Interchange Evaluation Using a Full Scale Driving Simulator Kelvin R. Santiago-Chaparro, Dan Reichl, Andrea R. Bill, and David A. Noyce A full-scale driving simulator was
More informationDeveloping a Smartphone Based Warning System Application to Enhance the Safety at Work Zones Final Report
Developing a Smartphone Based Warning System Application to Enhance the Safety at Work Zones Final Report Ruksana Rahman, M.S. Fengxiang Qiao, Ph.D. Qing Li, Ph.D. Candidate and Lei Yu, Ph.D., P.E. May
More informationThe Shoppes at Forney Crossings
F M 548 U.S. HWY 80 U.S. HWY 80 F M 688 F M 548 COOL SPRINGS F M 1641 F M 548 TROPHY BUGLE CALL PHESANT WHITE PORCH SPINAKER The Shoppes at Forney Crossings 18' 14'-8" 18' 15'-8 1 2 " 14' 7' 23'-0" 21'-0"
More informationA STOP BASED APPROACH FOR DETERMINING WHEN TO RUN SIGNAL COORDINATION PLANS
0 0 A STOP BASED APPROACH FOR DETERMINING WHEN TO RUN SIGNAL COORDINATION PLANS Rasool Andalibian (Corresponding Author) PhD Candidate Department of Civil and Environmental Engineering University of Nevada,
More informationDriver Education Classroom and In-Car Curriculum Unit 3 Space Management System
Driver Education Classroom and In-Car Curriculum Unit 3 Space Management System Driver Education Classroom and In-Car Instruction Unit 3-2 Unit Introduction Unit 3 will introduce operator procedural and
More informationTHE EFFECTS OF PC-BASED TRAINING ON NOVICE DRIVERS RISK AWARENESS IN A DRIVING SIMULATOR
THE EFFECTS OF PC-BASED TRAINING ON NOVICE DRIVERS RISK AWARENESS IN A DRIVING SIMULATOR Anuj K. Pradhan 1, Donald L. Fisher 1, Alexander Pollatsek 2 1 Department of Mechanical and Industrial Engineering
More informationCONSIDERING THE HUMAN ACROSS LEVELS OF AUTOMATION: IMPLICATIONS FOR RELIANCE
CONSIDERING THE HUMAN ACROSS LEVELS OF AUTOMATION: IMPLICATIONS FOR RELIANCE Bobbie Seppelt 1,2, Bryan Reimer 2, Linda Angell 1, & Sean Seaman 1 1 Touchstone Evaluations, Inc. Grosse Pointe, MI, USA 2
More informationHuman Factors Studies for Limited- Ability Autonomous Driving Systems (LAADS)
Human Factors Studies for Limited- Ability Autonomous Driving Systems (LAADS) Glenn Widmann; Delphi Automotive Systems Jeremy Salinger; General Motors Robert Dufour; Delphi Automotive Systems Charles Green;
More informationSign Legibility Rules Of Thumb
Sign Legibility Rules Of Thumb UNITED STATES SIGN COUNCIL 2006 United States Sign Council SIGN LEGIBILITY By Andrew Bertucci, United States Sign Council Since 1996, the United States Sign Council (USSC)
More informationTECHNICAL REPORT. NADS MiniSim Driving Simulator. Document ID: N Author(s): Yefei He Date: September 2006
TECHNICAL REPORT NADS MiniSim Driving Simulator Document ID: N06-025 Author(s): Yefei He Date: September 2006 National Advanced Driving Simulator 2401 Oakdale Blvd. Iowa City, IA 52242-5003 Fax (319) 335-4658
More informationSan Antonio Wrong Way Driver Initiative
San Antonio Wrong Way Driver Initiative Brian G. Fariello, P.E. Traffic Management Engineer- TransGuide San Antonio District- TxDOT brian.fariello@txdot.gov The San Antonio Wrong Way Driver Task Force
More informationSEQUENTIAL WARNING LIGHT SYSTEM FOR WORK ZONE LANE CLOSURES Paper No
SEQUENTIAL WARNING LIGHT SYSTEM FOR WORK ZONE LANE CLOSURES Paper No. 01-2293 by Melisa D. Finley Assistant Transportation Researcher Texas Transportation Institute m-finley@tamu.edu Gerald L. Ullman,
More informationValidation Plan: Mitchell Hammock Road. Adaptive Traffic Signal Control System. Prepared by: City of Oviedo. Draft 1: June 2015
Plan: Mitchell Hammock Road Adaptive Traffic Signal Control System Red Bug Lake Road from Slavia Road to SR 426 Mitchell Hammock Road from SR 426 to Lockwood Boulevard Lockwood Boulevard from Mitchell
More informationITDNS Design and Applications (2010 present)
ITDNS Design and Applications (2010 present) Kevin F. Hulme, Ph.D. University at Buffalo Chunming Qiao, Adel Sadek, Changxu Wu, Kevin Hulme University at Buffalo Graduate Student support (2010 present)
More informationSECTION EDITION - REVISION 2. Large Guide
SECTION 4 0 EDITION - REVISION Large Guide March 017 (This page left intentionally blank) Guide Sign Design Guidelines Design Guidelines There are general guidelines to follow in the design of highway
More informationTexas Transportation Institute The Texas A&M University System College Station, Texas
1. Report No. FHWA/TX-08/0-4986-1 4. Title and Subtitle AN ASSESSMENT OF YIELD TREATMENTS AT FRONTAGE ROAD EXIT RAMP AND FRONTAGE ROAD U-TURN MERGE AREAS 2. Government Accession No. 3. Recipient's Catalog
More informationGuide Sign Policy for Secondary State Highways Edition
Massachusetts Highway Department, Ten Park Plaza, Boston, MA 02116-3973 ` Guide Sign Policy for Secondary State Highways 2005 Edition Revised September 2005 1. PURPOSE The Massachusetts Highway Department
More informationDesign Process. ERGONOMICS in. the Automotive. Vivek D. Bhise. CRC Press. Taylor & Francis Group. Taylor & Francis Group, an informa business
ERGONOMICS in the Automotive Design Process Vivek D. Bhise CRC Press Taylor & Francis Group Boca Raton London New York CRC Press is an imprint of the Taylor & Francis Group, an informa business Contents
More informationDiversion Analysis. Appendix K
Appendix K Appendix K Appendix K Project Description The Project includes the potential closure of the eastbound direction ramp for vehicular traffic at Washington Street and University Avenue. In addition,
More informationKing Mill Lambert DRI# 2035 Henry County, Georgia
Transportation Analysis King Mill Lambert DRI# 2035 Henry County, Georgia Prepared for: The Alter Group, Ltd. Prepared by: Kimley-Horn and Associates, Inc. Norcross, GA Kimley-Horn and Associates, Inc.
More informationSignal Patterns for Improving Light Rail Operation By Wintana Miller and Mark Madden DKS Associates
Signal Patterns for Improving Light Rail Operation By Wintana Miller and Mark Madden DKS Associates Abstract This paper describes the follow up to a pilot project to coordinate traffic signals with light
More informationFreeway exit ramp traffic flow research based on computer simulation
University of South Florida Scholar Commons Graduate Theses and Dissertations Graduate School 2008 Freeway exit ramp traffic flow research based on computer simulation Xu Wang University of South Florida
More informationDEVELOPMENT OF A MICROSCOPIC TRAFFIC SIMULATION MODEL FOR INTERACTIVE TRAFFIC ENVIRONMENT
DEVELOPMENT OF A MICROSCOPIC TRAFFIC SIMULATION MODEL FOR INTERACTIVE TRAFFIC ENVIRONMENT Tomoyoshi SHIRAISHI, Hisatomo HANABUSA, Masao KUWAHARA, Edward CHUNG, Shinji TANAKA, Hideki UENO, Yoshikazu OHBA,
More informationINNOVATIVE DEPLOYMENT OF DYNAMIC MESSAGE SIGNS IN SAFETY APPLICATIONS
INNOVATIVE DEPLOYMENT OF DYNAMIC MESSAGE SIGNS IN SAFETY APPLICATIONS L.A. Griffin Director of Expressway Operations, Orlando-Orange County Expressway Authority 4974 ORL Tower Road Orlando, FL 32807 (407)
More informationExit 61 I-90 Interchange Modification Justification Study
Exit 61 I-90 Interchange Modification Justification Study Introduction Exit 61 is a diamond interchange providing the connection between Elk Vale Road and I-90. Figure 1 shows the location of Exit 61.
More informationTRAFFIC SIGN DETECTION AND IDENTIFICATION.
TRAFFIC SIGN DETECTION AND IDENTIFICATION Vaughan W. Inman 1 & Brian H. Philips 2 1 SAIC, McLean, Virginia, USA 2 Federal Highway Administration, McLean, Virginia, USA Email: vaughan.inman.ctr@dot.gov
More informationCOMPARISON OF DRIVER DISTRACTION EVALUATIONS ACROSS TWO SIMULATOR PLATFORMS AND AN INSTRUMENTED VEHICLE.
COMPARISON OF DRIVER DISTRACTION EVALUATIONS ACROSS TWO SIMULATOR PLATFORMS AND AN INSTRUMENTED VEHICLE Susan T. Chrysler 1, Joel Cooper 2, Daniel V. McGehee 3 & Christine Yager 4 1 National Advanced Driving
More informationAlgorithm for Detector-Error Screening on Basis of Temporal and Spatial Information
Algorithm for Detector-Error Screening on Basis of Temporal and Spatial Information Yang (Carl) Lu, Xianfeng Yang, and Gang-Len Chang Although average effective vehicle length (AEVL) has been recognized
More informationA novel, broadcasting-based algorithm for vehicle speed estimation in Intelligent Transportation Systems using ad-hoc networks
A novel, broadcasting-based algorithm for vehicle speed estimation in Intelligent Transportation Systems using ad-hoc networks Boyan Petrov 1, Dr Evtim Peytchev 2 1 Faculty of Computer Systems and Control,
More informationEVALUATION OF COMPLEX AT-GRADE RAIL CROSSING DESIGNS USING A DRIVER SIMULATION
EVALUATION OF COMPLEX AT-GRADE RAIL CROSSING DESIGNS USING A DRIVER SIMULATION Authors: John Robinson, Ph.D., P. Eng. Delphi-MRC Alison Smiley, Ph.D., CCPE Human Factors North Jeff Caird, Ph.D. University
More informationANALYSIS OF DRIVER BEHAVIOR FOR MOBILE WORK ZONES USING A DRIVING SIMULATOR
Proceedings of the 4th Annual ISC Research Symposium ISCRS 00 April, 00, Rolla, Missouri AALYSIS OF DRIVER BEHAVIOR FOR MOBILE WORK ZOES USIG A DRIVIG SIMULATOR Durga Raj Mathur Manoj Vallati Ming C. Leu,
More informationREVIEW TOPICS CEEN 2320 FINAL EXAM
REVIEW TOPICS CEEN 2320 FINAL EXAM Be familiar with all materials covered in class, your class handouts and the notes you took in class, your homework assignments, test questions, formulas, tables, figures.
More informationDriving Simulation Scenario Definition Based on Performance Measures
Driving Simulation Scenario Definition Based on Performance Measures Yiannis Papelis Omar Ahmad Ginger Watson NADS & Simulation Center The University of Iowa 2401 Oakdale Blvd. Iowa City, IA 52242-5003
More informationA STUDY OF FREEWAY TRAFFIC INFORMATION REPORTED VIA COMMERCIAL RADIO. Conrad L. Dudek. John D. Friebele. and. Roy C. Lautzenheiser
A STUDY OF FREEWAY TRAFFIC INFORMATION REPORTED VIA COMMERCIAL RADIO by Conrad L. Dudek John D. Friebele and Roy C. Lautzenheiser Research Report Number 139-8 Freeway Control and Information Systems Research
More informationCAPABILITIES OF THE FEDERAL HIGHWAY ADMINISTRATION S HIGH-FIDELITY DRIVING SIMULATOR (HYSIM)
CAPABILITIES OF THE FEDERAL HIGHWAY ADMINISTRATION S HIGH-FIDELITY DRIVING SIMULATOR (HYSIM) Christopher A. Monk Science Applications International Corporation NHTSA R&D, NRD-52 400 7 th St. SW Washington,
More informationImpact of Connected Vehicle Safety Applications on Driving Behavior at Varying Market Penetrations: A Driving Simulator Study
Louisiana State University LSU Digital Commons LSU Master's Theses Graduate School 2017 Impact of Connected Vehicle Safety Applications on Driving Behavior at Varying Market Penetrations: A Driving Simulator
More informationVirtual Road Safety Audits: Recommended Procedures for Using Driving Simulation and Technology to Expand Existing Practices
Virtual Road Safety Audits: Recommended Procedures for Using Driving Simulation and Technology to Expand Existing Practices David A. Noyce Director and Chair, PI Traffic Operations and Safety Laboratory
More informationValidation of stopping and turning behavior for novice drivers in the National Advanced Driving Simulator
Validation of stopping and turning behavior for novice drivers in the National Advanced Driving Simulator Timothy Brown, Ben Dow, Dawn Marshall, Shawn Allen National Advanced Driving Simulator Center for
More informationImage Characteristics and Their Effect on Driving Simulator Validity
University of Iowa Iowa Research Online Driving Assessment Conference 2001 Driving Assessment Conference Aug 16th, 12:00 AM Image Characteristics and Their Effect on Driving Simulator Validity Hamish Jamson
More informationState Road A1A North Bridge over ICWW Bridge
Final Report State Road A1A North Bridge over ICWW Bridge Draft Design Traffic Technical Memorandum Contract Number: C-9H13 TWO 5 - Financial Project ID 249911-2-22-01 March 2016 Prepared for: Florida
More informationThe application of Work Domain Analysis (WDA) for the development of vehicle control display
Proceedings of the 7th WSEAS International Conference on Applied Informatics and Communications, Athens, Greece, August 24-26, 2007 160 The application of Work Domain Analysis (WDA) for the development
More informationA SYSTEM FOR VEHICLE DATA PROCESSING TO DETECT SPATIOTEMPORAL CONGESTED PATTERNS: THE SIMTD-APPROACH
19th ITS World Congress, Vienna, Austria, 22/26 October 2012 EU-00062 A SYSTEM FOR VEHICLE DATA PROCESSING TO DETECT SPATIOTEMPORAL CONGESTED PATTERNS: THE SIMTD-APPROACH M. Koller, A. Elster#, H. Rehborn*,
More informationVolkswagen Group: Leveraging VIRES VTD to Design a Cooperative Driver Assistance System
Volkswagen Group: Leveraging VIRES VTD to Design a Cooperative Driver Assistance System By Dr. Kai Franke, Development Online Driver Assistance Systems, Volkswagen AG 10 Engineering Reality Magazine A
More informationPoverty in the United Way Service Area
Poverty in the United Way Service Area Year 2 Update 2012 The Institute for Urban Policy Research At The University of Texas at Dallas Poverty in the United Way Service Area Year 2 Update 2012 Introduction
More informationVehicle speed and volume measurement using V2I communication
Vehicle speed and volume measurement using VI communication Quoc Chuyen DOAN IRSEEM-ESIGELEC ITS division Saint Etienne du Rouvray 76801 - FRANCE doan@esigelec.fr Tahar BERRADIA IRSEEM-ESIGELEC ITS division
More informationResearch on Design and Application of Self-made Simulation Test Platform for University Lab
Research on Design and Application of Self-made Simulation Test Platform for University Lab P. Zhang, Y. Zhang, and Y. Chang Abstract This paper will discuss how to design and assemble a simulation test
More informationIncreasing Broadcast Reliability for Vehicular Ad Hoc Networks. Nathan Balon and Jinhua Guo University of Michigan - Dearborn
Increasing Broadcast Reliability for Vehicular Ad Hoc Networks Nathan Balon and Jinhua Guo University of Michigan - Dearborn I n t r o d u c t i o n General Information on VANETs Background on 802.11 Background
More informationASSESSING THE POTENTIAL FOR THE AUTOMATIC DETECTION OF INCIDENTS ON THE BASIS OF INFORMATION OBTAINED FROM ELECTRONIC TOLL TAGS
ASSESSING THE POTENTIAL FOR THE AUTOMATIC DETECTION OF INCIDENTS ON THE BASIS OF INFORMATION OBTAINED FROM ELECTRONIC TOLL TAGS Bruce Hellinga Department of Civil Engineering, University of Waterloo, Waterloo,
More informationEstimation of Legibility Distance for Portable Variable Message Signs
Estimation of Legibility Distance for Portable Variable Message Signs Tai-Jin Song Graduate Student Researcher Dept. of Transportation Engineering Hanyang University at Ansan 1271,Sa-3 dong, Sangnokgu,
More informationTraffic Signal and Junction Design: A Case Study of Rajkot City
http:// Traffic Signal and Junction Design: A Case Study of Rajkot City Vaishali Parmar Department of civil engineering, Indus University Ahmedabad, India Ruchika Lalit Department of civil engineering,
More informationComparison of Simulation-Based Dynamic Traffic Assignment Approaches for Planning and Operations Management
Comparison of Simulation-Based Dynamic Traffic Assignment Approaches for Planning and Operations Management Ramachandran Balakrishna Daniel Morgan Qi Yang Howard Slavin Caliper Corporation 4 th TRB Conference
More informationNoise Study Report. Addendum. Interstate 10 Corridor Project. In the Counties of San Bernardino and Los Angeles
Interstate 10 Corridor Project Draft NSR Addendum Noise Study Report Addendum Interstate 10 Corridor Project In the Counties of San Bernardino and Los Angeles 07-LA-10 PM 44.9/48.3 08-SBD-10 PM 0.0/R37.0
More informationSegment based Traffic Information Estimation Method Using Cellular Network Data
Proceedings of the 8th International IEEE Conference on Intelligent Transportation Systems Vienna, Austria, September 13-16, 2005 WA1.4 Segment based Traffic Information Estimation Method Using Cellular
More informationValidation of an Economican Fast Method to Evaluate Situationspecific Parameters of Traffic Safety
Validation of an Economican Fast Method to Evaluate Situationspecific Parameters of Traffic Safety Katharina Dahmen-Zimmer, Kilian Ehrl, Alf Zimmer University of Regensburg Experimental Applied Psychology
More informationSimulation and Animation Tools for Analysis of Vehicle Collision: SMAC (Simulation Model of Automobile Collisions) and Carmma (Simulation Animations)
CALIFORNIA PATH PROGRAM INSTITUTE OF TRANSPORTATION STUDIES UNIVERSITY OF CALIFORNIA, BERKELEY Simulation and Animation Tools for Analysis of Vehicle Collision: SMAC (Simulation Model of Automobile Collisions)
More informationENTERPRISE Transportation Pooled Fund Study TPF-5 (231)
ENTERPRISE Transportation Pooled Fund Study TPF-5 (231) Impacts of Traveler Information on the Overall Network FINAL REPORT Prepared by September 2012 i 1. Report No. ENT-2012-2 2. Government Accession
More informationPhase II Investigation of Safety at Toll Plazas Using Driving Simulation
Phase II Investigation of Safety at Toll Plazas Using Driving Simulation Michael A. Knodler, PhD, PI Professor Department of Civil and Environmental Engineering University of Massachusetts, Amhurst Foroogh
More informationHuang Ke 1,2 *, Weng Ji 1 1 Faculty of Architecture and Urban Planning, Chongqing University, Chongqing,
[Type text] [Type text] [Type text] ISSN : 0974-7435 Volume 10 Issue 23 BioTechnology 2014 An Indian Journal FULL PAPER BTAIJ, 10(23), 2014 [14269-14274] Contrast threshold research of small target visibility
More informationSIMULATION OF TRAFFIC LIGHTS CONTROL
SIMULATION OF TRAFFIC LIGHTS CONTROL Krzysztof Amborski, Andrzej Dzielinski, Przemysław Kowalczuk, Witold Zydanowicz Institute of Control and Industrial Electronics Warsaw University of Technology Koszykowa
More informationA Virtual Environments Editor for Driving Scenes
A Virtual Environments Editor for Driving Scenes Ronald R. Mourant and Sophia-Katerina Marangos Virtual Environments Laboratory, 334 Snell Engineering Center Northeastern University, Boston, MA 02115 USA
More informationGetting Through the Green: Smarter Traffic Management with Adaptive Signal Control
Getting Through the Green: Smarter Traffic Management with Adaptive Signal Control Presented by: C. William (Bill) Kingsland, Assistant Commissioner, Transportation Systems Management Outline 1. What is
More informationCognitive Connected Vehicle Information System Design Requirement for Safety: Role of Bayesian Artificial Intelligence
Cognitive Connected Vehicle Information System Design Requirement for Safety: Role of Bayesian Artificial Intelligence Ata KHAN Civil and Environmental Engineering, Carleton University Ottawa, Ontario,
More informationResearch in Advanced Performance Technology and Educational Readiness
Research in Advanced Performance Technology and Educational Readiness Enhancing Human Performance with the Right Technology Ronald W. Tarr Program Director RAPTER-IST University of Central Florida 1 Mission
More informationIMPROVEMENTS TO A QUEUE AND DELAY ESTIMATION ALGORITHM UTILIZED IN VIDEO IMAGING VEHICLE DETECTION SYSTEMS
IMPROVEMENTS TO A QUEUE AND DELAY ESTIMATION ALGORITHM UTILIZED IN VIDEO IMAGING VEHICLE DETECTION SYSTEMS A Thesis Proposal By Marshall T. Cheek Submitted to the Office of Graduate Studies Texas A&M University
More informationDriver-in-the-Loop: Simulation as a Highway Safety Tool SHAWN ALLEN NATIONAL ADVANCED DRIVING SIMULATOR (NADS) THE UNIVERSITY OF IOWA
Driver-in-the-Loop: Simulation as a Highway Safety Tool SHAWN ALLEN NATIONAL ADVANCED DRIVING SIMULATOR (NADS) THE UNIVERSITY OF IOWA Shawn Allen Iowa Driving Simulator 3D support for Automated Highway
More informationPaper prepared for presentation at the Geometric Design - Emerging Issues Session
Decision Sight Distance for Freeway Exit Ramps a Road Safety Perspective Geoffrey Ho. P.Eng., G. Ho Engineering Consultants Inc. Julian Rozental, P.Eng., J. Rozental Consultancy Ltd. Svetozar Majstorovic,
More informationRoadside Range Sensors for Intersection Decision Support
Roadside Range Sensors for Intersection Decision Support Arvind Menon, Alec Gorjestani, Craig Shankwitz and Max Donath, Member, IEEE Abstract The Intelligent Transportation Institute at the University
More informationInteractive Aircraft Cabin Simulator for Stress-Free Air Travel System: A Concurrent Engineering Design Approach
Interactive Aircraft Cabin Simulator for Stress-Free Air Travel System: A Concurrent Engineering Design Approach CheeFai Tan 1, Wei Chen and Matthias Rauterberg Designed Intelligence Group, Department
More informationDESIGN OF VEHICLE ACTUATED SIGNAL FOR A MAJOR CORRIDOR IN CHENNAI USING SIMULATION
DESIGN OF VEHICLE ACTUATED SIGNAL FOR A MAJOR CORRIDOR IN CHENNAI USING SIMULATION Presented by, R.NITHYANANTHAN S. KALAANIDHI Authors S.NITHYA R.NITHYANANTHAN D.SENTHURKUMAR K.GUNASEKARAN Introduction
More informationDevelopment of Vehicle Simulation Capability
CALIFORNIA PATH PROGRAM INSTITUTE OF TRANSPORTATION STUDIES UNIVERSITY OF CALIFORNIA, BERKELEY Development of Vehicle Simulation Capability James W. Stoner Douglas F. Evans Daniel McGehee California PATH
More informationChapter 4a GUIDE SIGNS
Sign Designs and Markings Manual (TEM 295-2) Chapter 4a GUIDE SIGNS DIRECTIONAL ( D sign code numbers) Revised January 20, 2012 Guide Signs Directional Page 4a-2 Sign Designs and Markings Manual (TEM 295-2)
More informationSCENARIO DEFINITION AND CONTROL FOR THE NATIONAL ADVANCED DRIVING SIMULATOR
SCENARIO DEFINITION AND CONTROL FOR THE NATIONAL ADVANCED DRIVING SIMULATOR Yiannis Papelis, Omar Ahmad, and Matt Schikore The University of Iowa, National Advanced Driving Simulator, USA Paper Number:
More informationFig.2 the simulation system model framework
International Conference on Information Science and Computer Applications (ISCA 2013) Simulation and Application of Urban intersection traffic flow model Yubin Li 1,a,Bingmou Cui 2,b,Siyu Hao 2,c,Yan Wei
More informationIntroducing LISA. LISA: Laboratory for Intelligent and Safe Automobiles
Introducing LISA LISA: Laboratory for Intelligent and Safe Automobiles Mohan M. Trivedi University of California at San Diego mtrivedi@ucsd.edu Int. Workshop on Progress and Future Directions of Adaptive
More informationKey-Words: - Neural Networks, Cerebellum, Cerebellar Model Articulation Controller (CMAC), Auto-pilot
erebellum Based ar Auto-Pilot System B. HSIEH,.QUEK and A.WAHAB Intelligent Systems Laboratory, School of omputer Engineering Nanyang Technological University, Blk N4 #2A-32 Nanyang Avenue, Singapore 639798
More informationAdaptive Controllers for Vehicle Velocity Control for Microscopic Traffic Simulation Models
Adaptive Controllers for Vehicle Velocity Control for Microscopic Traffic Simulation Models Yiannis Papelis, Omar Ahmad & Horatiu German National Advanced Driving Simulator, The University of Iowa, USA
More informationMulti variable strategy reduces symptoms of simulator sickness
Multi variable strategy reduces symptoms of simulator sickness Jorrit Kuipers Green Dino BV, Wageningen / Delft University of Technology 3ME, Delft, The Netherlands, jorrit@greendino.nl Introduction Interactive
More informationMini Project 3: GT Evacuation Simulation
Vanarase & Tuchez 1 Shreyyas Vanarase Christian Tuchez CX 4230 Computer Simulation Prof. Vuduc Part A: Conceptual Model Introduction Mini Project 3: GT Evacuation Simulation Agent based models and queuing
More information16 Histograms. Using Histograms to Reveal Distribution
16 Histograms Using Histograms to Reveal Distribution The Histogram math function enhances understanding of the distribution of measured parameters (see the Disk Drive Analyzer Reference Manual for more
More informationImage Processing Based Vehicle Detection And Tracking System
Image Processing Based Vehicle Detection And Tracking System Poonam A. Kandalkar 1, Gajanan P. Dhok 2 ME, Scholar, Electronics and Telecommunication Engineering, Sipna College of Engineering and Technology,
More information2015 GDOT PowerPoint. Title Page
Cartersville MPO Regional Travel Demand Model Update Joint Policy Committee (PC) and Technical Coordinating Committee (TCC) Meeting May 20, 1 BACKGROUND Federal legislation requires Long-Range Transportation
More informationTRANSPORTATION INFRASTRUCTURE PROJECTS CONCEPTION TO EXECUTION (TIP-CE 2017) Horizontal Curve from Driver s Perspective
TRANSPORTATION INFRASTRUCTURE PROJECTS CONCEPTION TO EXECUTION (TIP-CE 2017) Horizontal Curve from Driver s Perspective Gourab Sil Avijit Maji Suresh Nama Akhilesh K. Maurya Introduction Conventional geometric
More informationExpressway Authority Standards for Preparation of Signing and Pavement Marking Plans
Expressway Authority Standards for Preparation of Signing and Pavement Marking Plans Expressway Authority Standards for Preparation of Signing and Pavement Marking Plans 408 414 417 429 451 528 CENTRAL
More informationPerformance Evaluation of a Video Broadcasting System over Wireless Mesh Network
Performance Evaluation of a Video Broadcasting System over Wireless Mesh Network K.T. Sze, K.M. Ho, and K.T. Lo Abstract in this paper, we study the performance of a video-on-demand (VoD) system in wireless
More information