Assessing the Performance of Integrated Corridor Management (ICM) Strategies

Transcription

1 Assessing the Performance of Integrated Corridor Management (ICM) Strategies Matt Burt, Battelle Research and Evaluation Session, NATMEC 2012 June 7,

2 Presentation Outline The U.S. DOT ICM Program The Dallas and San Diego ICM Demonstrations The U.S. DOT Evaluation Hypotheses to be Addressed Evaluation Analyses The Logic Model Evaluation Milestone Schedule Overview of Data Types Overview of Evaluation Methods Lessons Learned to Date

3 THE U.S. DOT ICM PROGRAM

4 With ICM, the corridor is managed as an integrated system Freeway Systems Integrated Operations Arterial Signal Systems Rail Systems Parking Systems Bus Systems

5 Example ICM Goals 1. Increase corridor throughput 2. Improve travel time reliability 3. Improve incident management 4. Enable intermodal travel decisions.

6 USDOT ICM Initiative Goals Demonstrate and evaluate strategies and ITS technologies that help transportation operators efficiently and proactively manage corridors Provide the necessary tools, knowledge, and guidance, for ICM Demonstration & Evaluation

7 ICM Pioneer Sites Seattle Minneapolis LEGEND: All Pioneer Sites developed ICM Concept of Operations, Sample Data, and Requirements :Italicized :Completed ICM AMS Bolded/Italicized: Demonstration Site Oakland Montgomery County San Diego Dallas San Antonio Houston

8 THE DALLAS AND SAN DIEGO ICM DEMONSTRATIONS

9 ICM Demonstration Sites San Diego, CA Characteristics: Dallas, TX Characteristics: Popular freight, tourist Major employers and commuter corridor No ability to expand Lengthening peak Surrounding travel periods construction planned Corridor Infrastructure Decision-Support System Actionable traveler information 511 (phone and website) Comparable travel times Managed lanes Rerouting of traffic Coordinated timing and responsive signal operations Coordinated ramp metering and traffic signals Mode shift Bus rapid transit Transit signal priority Real-time transit information Corridor Infrastructure Decision-Support System Actionable traveler information 511 system Phone Website alerts Comparable travel times Rerouting of traffic Optimized traffic signal timing plans for predefined traffic events Mode Shift Light rail Parking management Real-time service adjustments

10 THE U.S. DOT EVALUATION

11 Hypotheses and Evaluation Analyses U.S.DOT Hypotheses Improve Situational Awareness Enhance Response and Control Evaluation Analysis Area Technical Assessment of the Capability to Monitor, Control, and Report on the Status of the Corridor Better Inform Travelers Improve Corridor Performance Positive or No Impact on Safety Positive or No Impact on Air Quality Traveler Response (also relates to Enhance Response and Control) Quantitative Analysis of the Corridor Performance Mobility Quantitative Analysis of the Corridor Performance Safety Air Quality Analysis Have Benefits Greater than Costs Benefit-Cost Analysis Provide a Useful and Effective Tool for ICM Project Managers Evaluation of Decision Support Systems

12 Evaluation Logic Model

13 Evaluation Milestone Schedule Summer 2012 Spring Spring 2013 Fall Fall 2014 Spring 2015

14 Overview of Data Types Field Data, e.g. transit ridership, traffic volumes, travel times, travel time reliability and throughput ICM System Data, e.g., DSS logs, operations center logs (DMS postings, etc.) Deployer Site Team Surveys, e.g., Technical Capability and DSS Analyses Traveler Surveys, e.g., Volpe Panel Survey (before, after and several after pulse surveys ) Cost Data, including planning, design, implementation and O&M; capital and staff costs Collision Data for the Safety Analysis Air Quality Model Inputs, e.g., regional emission factors, vehicle fleet and meteorological data

15 Overview of Evaluation Methods Overall, predominately a before-after system impacts approach challenged by anticipated low signal-tonoise ratio Case studies, e.g., baseline DSS Document and account for exogenous factors via: Traveler Survey Construction, incident, special event, and other logs Comparisons to other regional, non-icm corridors Use of Analysis, Modeling and Simulation (AMS) tools, e.g. Vehicle activity inputs for air quality modeling (EPA MOVES) Person/trip measures of Corridor Performance

16 Traffic Measures of Effectiveness Vehicle and person throughput Speeds Travel Times Travel Time Index Standard deviation of travel time 80 th, 90 th and 95 th percentile travel times Buffer Index Planning Index

17 Traffic Data Sources Freeway detectors Bluetooth (arterials) Municipal triennial count programs (arterials) Field observation for vehicle occupancy Passenger counters for transit occupancy Traffic models for trip and person-based measures

18 LESSONS LEARNED TO DATE

19 Lessons Learned To Date Adjustment/refinement of evaluation approach based on sites specific DSS approaches, e.g.: DSS running all the time vs. being turned on for specific incidents Extent of individual operator decision-making authority, e.g., can they modify the DSS-recommended approach? DSS data fusion taking a case study approach in Dallas given their design Challenges in measuring corridor mobility performance as opposed to facility/service-based performance Challenges imposed by the phased deployment of the ICM elements and strategies, e.g., no clean baseline

20 Lessons Learned To Date Participation in site design activities informs both the evaluation and the design Understanding site s system requirements is necessary but not sufficient Baseline data collection is challenging ( pre-system so less system data); especially challenging with DSS Test planning is painstaking, time-consuming and critical Evaluation planning timing dilemma: test plans should be done before baseline data collection starts but the sites aren t done with design Logic Model not entirely meaningful to site teams

21 Lessons Learned To Date, cont. Challenges in assessing impact on third-party traveler information providers Challenges in getting detailed speed data (e.g., acceleration/deceleration) for the MOVES model

22 WHERE TO GO FOR ADDITIONAL ICM INFORMATION

23 Check out the ICM Knowledgebase! KTT Resources Coming Spring 2012: ICM Implementation and AMS Guides Early Adopter Workshops and Webinars ICM and Transportation Operations Information Briefs Resources Available Now in the ICM Knowledgebase: Pioneer site CONOPs and Requirements Documents, and Lessons Learned AMS Resources and Findings Data Gap Technical Resources Magazine Articles and Outreach Materials Searchable /Browseable - Designed by users for users Learn More:

24 Key ICM Evaluation Contacts Robert Sheehan, FHWA Office of Operations ICM Evaluation Manager & ICM Core Team Member Matt Burt, Battelle ICM Evaluation Principal Investigator

25 THANK YOU!

26 Backup Slides

27 ICM as a Tool to Manage Congestion Significant Congestion ICM Systems Managing All Corridor Capacity 27

28 ICM is about management of a corridor: Management implies more than passive monitoring It implies action. Pro-active, and integrated multi-modal management Improve Situational Awareness Enhance Response and Control Better inform travelers

29 Examples of Supporting Technologies Active Traffic Management Managed Lanes Transit only lanes Transit signal priority Multimodal, actionable traveler information Real-time traffic signal control Integrated electronic payment

30 Other Supporting Systems Data fusion engines Decision support systems Predictive Capabilities Expert Systems Real-time Simulation Data Hub Performance Monitoring