AN INTEGRATED TRANSPORTATION PLANNING AND OPERATIONS MODEL FOR MEMPHIS, TENNESSEE

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Transcription:

AN INTEGRATED TRANSPORTATION PLANNING AND OPERATIONS MODEL FOR MEMPHIS, TENNESSEE Jeffery Karafa, Mihalis M. Golias, Martin Lipinski Department of Civil Engineering & Intermodal Freight Transportation Institute University of Memphis 2012 Mid-Continent Transportation Research Forum Madison September 6-7, 2012 Madison, Wisconsin

Transportation Planning Utopia Transportation Planning Model Trip generation, Trip Distribution, Modal Split, Traffic Assignment Existing/Proposed Land Use Dynamic Traffic Assignment Environmental Impacts DTA Road geometry, Traffic Control, GIS, Transit Dynamic OD Estimation, Traffic Data DTA TDSP Algorithm Assign trips to paths Run RouteSim, New travel times Run TDSP, find new OD paths,assign trips Convergence Traffic Control, Road, Safety, Bicycle, Pedestrian Transit, Freight Improvements Improvements Costs Selected Project Implementation Funding

TRAFFIC MONITORING Traffic Counts Travel time/speed data GPS Veh. Trajectories TRANSMIT Veh. Trajectories REAL-TIME ORIGIN-DESTINATION ESTIMATION DTA Models Traffic Simulators Time-Dependent Shortest Path Models CALIBRATED UTM MODEL TRAFFIC FORECASTING Link/Path travel time/speed Movement travel time Traffic flow rate VEHICLE ROUTING CARS, TRUCKS Shortest Path Vehicle Tour AIR QUALITY OD DATA MPO OD Matrix Estimate OD Surveys Dynamic OD Estimation Models BUS TRAIN Routing Scheduling UNIVERSAL TRANSPORTATION MODEL

Typical 4-step planning process Trip Generation Trip Distribution Mode Split Traffic Assignment Link Flows and Turning Movements

Then what? Simulation based software Require more detailed (e.g. 15min) path/ link flows/travel times and turning movements Current state of the arts: DTA A number of MPOs/DOTs are heading to that directions (Florida, New York, San Fransisco etc)

Why DTA? Simulation-based DTA innovation in traffic simulation Depart from the traditional static/analytical models Simulation used to replicate the complex traffic flow dynamics especially for signalized systems

Why Integrated Common place for all data: Multiple benefits A comprehensive tool to model various infrastructure and operations alternatives and select the best ones for implementation A comprehensive research tool for both training, classroom, research

Integrated Approach Static Model Dynamic Traffic Assignment Path/Link Flows and Turning Movements Microscopic simulation, Traffic controls, traffic safety analysis (SSAM), emissions (MOVES)

Research objectives TransCAD VISTA Path/Link Flows and Turning Movements Paramics, Synchro SSAM, MOVES

Teaching Objectives Theory Transportation planning Travel demand modeling Roadway capacity modeling Signal optimization Traffic flow theory Integrated transportation planning Practice Software: TransCAD, VISTA, Paramics, Synchro Case studies and data Real world problems, issues, solutions Transportation engineers with experience

Source: Memphis and Shelby County, Metropolitan Planning Organization (MPO), Travel Demand Model. Training Presentation

Regional Model AM Peak (6AM-9AM) Inputs from the planning model Network geometry & properties Location of Traffic Signals Total OD Demand Data processing Data formatting Geometry adjustments Signal timing plans (based on DTA flows) Demand profile 26,000 Links 12,000 Nodes 744 Signals 2,500 Zones 504,000 Trips 7,000 Truck Trips

Subnetwork Extraction Procedure Select Links Generate OD matrix using trajectories Goal Refine calibration Conduct scenario analysis Produce refined inputs for micro simulation models

Subnetwork Model 1,286 Links 516 Nodes 27 Signals 101 Zones 66,000 Trips

Developing an Operational ITPM Step 1. Establish a federation of the main stakeholders Step 2. Implement an ITPM Operational model Step 3. Implement an Operational VISTA DTA model Step 4. Establish a Base ITPOM Step 5. Continuously Updated ITPOM Step 6. ITPOM Research

TIA Existing condition Future conditions without the proposed action Future conditions with the proposed action Traffic analysis for potential impact determination Proposed mitigation/mitigation measures Recommendations

AN INTEGRATED TRANSPORTATION PLANNING AND OPERATIONS MODEL FOR MEMPHIS, TENNESSEE The Center for Advanced Intermodal Technologies, University of Memphis CUNY Institute for Transportation Systems Universal Transportation Model Simulation Center VISTA Transport Group (VTG) Inc. Friday, June 29 th 2012