Core Input Files + Engines. Node/Link/Activity Location Demand Type/ Vehicle Type VOT Table/ Emission Table. DTALite. Movement Capacity File

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1 Module'1:'Introduction'to'NEXTA/DTALite:'(10AM:10:30'AM)' Twosoftwareapplications:NEXTAasGUIanddatahub;DTALiteasDTAsimulationengine 32_bitvs.64_bit:32_bitforGISshapefileimportingandlegacysupport;64_bitforlargenetwork:(e.g. NCSUnetwork,1Mvehicles,5Q10AM,4CPUcores,9GBRAM,1hourCPUtimefor20iterations) DatafilesareinCSVformat:withgeometricfields(forimportingfromandexportingtoGIS,GoogleFusion Tables) Projectfolder:*.tnpfileasareferenceforotherdatafiles: o Onenetworkperprojectfolder o Prefixofinput,outputfiles o Howtomanagemultipleprojects(loadmultipleprojects) Original Data Files Import File Configuration Files Core Input Files + Engines Core Simulation Output Files Export Files Data Imported from Regional Planning Model* GIS Node/Link/ Zone/Connector Shape Files Demand Matrix Files GIS Import Config Demand meta database file NeXTA (7) Node/Link/Activity Location Demand Type/ Vehicle Type VOT Table/ Emission Table DTALite Time-dependent Link MOE Agent Trajectory Simulation Result Summary Synchro, VISSIM Files Shape File, Google Earth KML File QEM Tool Signal Data (e.g. Synchro) Signal Control File (e.g. UTDF) Movement Capacity File Filestructure: Differentlayers:differentfiles:node,link,zone,activitylocations Manymodelattributefiles:nodecontroltype,linktype,demandtypeandvehicletype Timerepresentation:24hour(fordemandandsensordata),daynumber=iterationnumber,workzone hasdayattributes(formodellingdayqtoqdaylearning) Demandmetadatabasefile: Dynamicdemanddatamanager,readmultipledemandfiles,indifferent format:column,matrix,agentfile,dynasmartfile,differentdemandloadingperiods,additional departuretimeprofile Scenariosettingfile:trafficflowmodel,trafficassignmentmodel,scenarionumberformultiplescenario runs Scenariofilesforadvancedmodellingfeatures:workzone,incident,tolling,VMSfiles Sensordatafile:formodelvalidationandcalibration,differenttimeperiod Outputfiles:simulationsummary,networkMOE,linkMOE,trajectoryfile Subfoldersunderinternalreleasefolder Documentation(fordatastructure,usersguide,QEMtool) Defaultdatafolder(defaultdataattributefiles) Sampledatasets(realQworldtestnetworks) Importingsampledatasets(GISfiles,Excel,Synchro) Testdatasets(simplenetworksfortestingtrafficflowmodelsandotherkeymodellingfeatures) InternetResources: a. GoogleCode(forhostingsourcecode,latestrelease,bugreporting): Trainingwebsite(forlearningmaterialanduserforum) a

2 Module'2:'Working'through'visualization'features'in'NEXTA'(West'Jordan'Network)'(10:30AM:11AM)' 1. BasicGUIfeatures a. TurnonandoffGISlayers;Movearound,selectnodeandlinks;Toolbarsforeditingnetworks b. Openprojectfolder(CSVfileformat) 2. View/EditdatafilesinNEXTA s project menu a. Node/link/zone/activitylocation b. Demandmetadatabase c. Scenariofiles 3. Integrationwithassignmentmodel a. Trafficflowmodel;Assignmentmethod 4. AdvancedvisualizationfunctionsofNEXTA a. 24QhourTimecontrol/Clockbar b. Volume(bandwidth),density,speed c. Animationandqueue:(turnoffnodelayerandbandwidth) 5. SensorQrelateddisplay a. Turnonsensorlayertoseesensordata/locations b. Activatesensordatatablethroughrightclick c. ValidationPlot;andzoomtothelink 6. PathQrelateddisplay a. Manuallyselectapath:traveltimeoverthetime b. Importpathfile i. Simulatedvs.observedtraveltimeseries ii. Contoursofdensity,speedandV/C c. ExportpathsummaryfiletoExcelfiletodoacolumnchart 7. VehicleandSummaryCharts a. Examiningroutechoicedecisions b. XaxisandYaxis:1hourandaveragetraveltime c. ExportallsummarystatisticstoExcel 8. DataexportingtoGoogleEarth/GISpackage a. 2DKML,3DKML,GISshapefiles b. GoogleEarthvisualization c. Zoneleveldisplay:"adjust"height/color" 2

3 Module'2.2:'Importing'network'and'demand'data'from'a'regional'planning'model'(11:30AM:12:00PM)' " Learning"Goals:"" 1. Understand"how"to"export"GIS"shapefiles"from"CUBE"" 2. Understand"how"to"prepare"importing"configuration" Step"1:OpenandprepareVISUMnetwork,exportGISshapefiles - OpentheprovidedMarylandStatewidemodelnetworkfilesinCube - ChangenetworktoWGS84coordinatesystem(Menu>Network>Networkparameters,underSpatial referencesystem) - Checktheavailabledata:linktypes,links,nodes,zones,matrices... - ExportGISshapefilesthroughMenu>File>Export>Shapefile o Givethebasefilename(i.e.35S_shapefile)andexportnodes,links,zones,zonecentroidsand connectors o Thecorrespondingfileswillbewrittentothedestinationfolder - Exportdemandmatrixthrough Step"2:PreparethenecessaryCSVfiles - Copyimport_GIS_settings,input_demand,input_demand_meta_data,input_link_typeand input_node_control_typecsvfilesfromanysampledatasettothedestinationfolder - Preparetheimport_GIS_settingsfilefortheexportednetworkfornode,link,zone,centroidand connectorshapefiles,aswellasdefaultsettings o Hint:useanyGISsoftware(suchasQGIS)toreadthekeyvaluesforeachlayer - Prepareinput_link_typeandinput_node_control_typefiles o Hint:useListlinktypesandListnodesinVISUMtoreadcorrespondingvalues - Setinput_demand_meta_datatoreadthecorrespondingdemandmatrix,orcopythedemandmatrixinto theinput_demandcsvfile Step"3:ImportthenetworkintoNeXTA - Menu>File>Import>GISPlanningDataSet - Savethenetworkasa*.tnpfile - Checkimportednetwork(coordinatesystem,link,node,demand...) - Runsimulationandperformanalysis 3

4 Module'3:''Introduction'to'DTA'modelling'principles'(20'min)' Time%Varying, OD,Demand/, Agent,Data Link, Traversal Traffic,Simulation Node, Transfer Time%Varying,Link,Travel,Times Path,Selection Time%dependent,Shortest,Path Path, Processing User, Decisions Typical Simulation-based Dynamic Traffic Assignment Modelling Framework D T A Lite Key modelling component Dynamic demand, dynamic capacity Traffic flow models, link model, node model, bottlenecks (lane drop, merge and diverge, signalized intersections) Equilibrium assignment and gap functions, Day-to-day learning; agent-based routing Light-weight modelling features: 1. Computational efficiency (parallel computing for both traffic flow model and agent-based routing) 2. Signal representation (link-based, and movementbased effective green time) 3. Traffic flow model on freeway Notes Backward wave speed w Flow q Free-flow speed V f Speed v Density k k jam Density k k jam Fundamental diagram for Newell s simplified kinematic wave model Entrance% List Exit% Queue Inflow% Capacity Outflow% Capacity Storage%Capacity Link traversal step: outflow, inflow, and storage capacity constraints 4

5 Node transfer: Move vehicles between links, subject to capacity constraints 80% 20 % N o Available Inflow Capacity Inflow capacity allocation in DTALite using lane-based proportional model Case (ii) Mainline Link 1 (3 lanes) Link 1 Link 2 Link 3 Case (i) d1 e g f Proportional to # of lanes Detailed capacity allocation at merge nodes d2 d1+d2 < Cap In Onramp Link 2 (1 lane) N o Diverge nodes: Inflow constraint relaxation to handle first-in-first-out (FIFO) at off-ramp bottlenecks 5

6 Module 4: Hands-on with 3-Corridor Network: Learning objectives: I: how to identify bottlenecks and model congestion propagation? II: how to quantify dynamic traffic equilibrium? Gap functions, and how many iterations to achieve traffic equilibrium; different route choice behaviour at different travel times III: how to evaluate road tolling scenarios? 1. Introduction: 2 hours of demand, bottlenecks with capacity of 3600 vehicles per link per hour on first freeway corridor 2. Demand = bottleneck capacity: demand multiplier = 1, 1 iteration Density increase on bottleneck; Speed = free flow speed; V/C =1 on bottleneck 3. Demand multiplier = 1.2: hourly demand = 3600*1.2 = 4320 a. slightly higher than capacity of 3600 (on downstream bottleneck) b. slightly lower than capacity of 4500 (on upstream bottleneck) c. bottleneck on upstream bottleneck; speed = free-flow speed on downstream bottleneck; V/C = 1 on downstream bottleneck 4. Demand multiplier = 1.3: hourly demand = 3600*1.3 = 4680 a > 4500 > 3600 (on two bottlenecks) b. Severe queue spillback on the loading link c. Queue spillback speed 6

7 Link speed = 11.4, link density = 93.3 Shockwave speed = 6.73 mph, Propagation time per mile = 8.9 min; Propagation time for 6 miles (from node 3 to node 9) = 8.9*6= 53.4 min Observation: 8:05 AM 7:15 AM = 50 min; Link speed = 13 mph: density close to 90 vehicles per mile per lane iterations; demand level = 1.3 User equilibrium; Relative gap function; After 5 iterations iterations; demand level = 1.3 Check 15-min gap function RelaoveUEgap_7:00 RelaoveUEgap_7:15 RelaoveUEgap_7:30 RelaoveUEgap_7:45 RelaoveUEgap_8:00 RelaoveUEgap_8: iterations: demand level = 1.5 Three paths are used; including the third path with FFTT = 17 min After 8AM, third path is used. Average travel time on three paths through vehicle path analysis 8. Add 0.50 toll on link 3->4 VOT = 10 per hour, additional equivalent travel time = 0.5/10* 60 min /hour= 3 min VOT = 20 per hour, additional equivalent travel time = 0.5/20* 60 min /hour= 1.5 min VOT = 30 per hour, additional equivalent travel time = 0.5/30* 60 min /hour= 1 min 7

8 Category Check VOT distribution and travel time through Summary Chart WITHOUT TOLL: Avg Travel Time (min) WITH TOLL: Avg Travel Time (min) Avg Toll Cost () Travel'Time' WITHOUTTOLL:AvgTravel Time(min) WITHTOLL:AvgTravel Time(min) Q 10 10Q 20 20Q 30 30Q 40 40Q 50 60Q Check where the low-income travelers are diverted to, through vehicle path dialog Path No Count Percentage Travel Time (min) Distance (mile) Speed (mph) Toll Cost() Path No Count Percentage Travel Time (min) Distance (mile) Speed (mph) Toll Cost()

9 WITHOUTTOLL:Travel Time(min) WITHTOLL:TravelTime (min) PATH1 PATH2 PATH3 9. Add HOV toll by modifying input_demand_meta_data.csv Total toll revenue: 3601 (regular toll) vs (HOV toll) 9