Presentation at 15th TRB Planning Application Conference, Atlantic City, NJ, 5/17~21, 2015 Integrating Dynamic Traffic Assignment and Agent-Based Travel Behavior Models for Cumulative Land Development Impact Analysis Lei Zhang1, Zheng Zhu2, Chenfeng Xiong2, Xiqun Chen3, and Xiang He2 1. Associate Professor and Director of the National Transportation Center; 2. Graduate Student; 3. Research Scientist; Department of Civil and Environmental Engineering University of Maryland Contact: 301-405-2881; [email protected] National Transportation Center @Maryland || www.ntc.umd.edu || www.tep.umd.edu 1 Background Research Objectives Integrate agent-based behavior model (AgBM) with dynamic traffic assignment (DTA) to capture individual behavior changes and traffic dynamics Real-World Application: Cumulative land development impact study along the I270 and MD 355 corridor in Montgomery, Maryland National Transportation Center @Maryland || www.ntc.umd.edu || www.tep.umd.edu 2 Overview of Model Integration Exogenous land use, policy, economic, and demographical changes Time Day t – 1 …… i+1 SILK AgBM Agent i Day t + 1 DTALite Knowledge Updating Prior knowledge and experience No Change behavior? Change mode En-route diversion Dynamic re-routing Change route Change Identify an alternative travel mode travel experience Minute-byminute travel information Subjective Beliefs Dynamic OD skim table t Day t schedule Identify an alternative schedule Dynamic traffic simulation Identify an alternative travel route Dynamic OD skim t + 1 No Switch to this alternative? No Yes Update agent i Agent List Agent 1 Agent 2 Agent i No active agents? Yes Habitual agent behavior Agent n Time End National Transportation Center @Maryland || www.ntc.umd.edu || www.tep.umd.edu 3 Application in Maryland MWCOG Development Forecasting Static OD 07-08 Survey End Positive Model Departure Distribution Yes Switching Dynamic OD Slit Population Synthesizing Convergence? No Searching DTALite Subarea Cut & Calibration SHA traffic data Agents Generation Assignment Knowledge Updating FFTT Calculating National Transportation Center @Maryland || www.ntc.umd.edu || www.tep.umd.edu 4 Study Area Legend Freeway Arterial Subarea MWCOG Coverage MWCOG Model in DTAlite National Transportation Center @Maryland || www.ntc.umd.edu || www.tep.umd.edu 5 2010 and 2030 Networks 2010 2030 Network Mileage 2606 2686 # of intersections 789 802 # of trips (million) 2.86 3.28 National Transportation Center @Maryland || www.ntc.umd.edu || www.tep.umd.edu 6 New Sector Plans along I-270 WASHINGTON GROVE SHADY GROVE Gaithersburg Rockville GREAT SENECA SCIENCE CORRIDOR Legend SHADY GROVE Sector Plans Rockville City Names Road Way Silver Spring Bethesda WHITE FLINT GROSVENOR National Transportation Center @Maryland || www.ntc.umd.edu || www.tep.umd.edu 7 Population Change 2010-2030 Total POP: 2010: 1,152,132 2030: 1,366,428 Legend Subarea Population Silver Spring 0 and below 0 - 2000 2000 - 4000 4000 - 6000 6000 and above National Transportation Center @Maryland || www.ntc.umd.edu || www.tep.umd.edu 8 Employment Change 2010-2030 Total EMP: 2010 636,210 2030 785,083 Legend Subarea Employment 0 and below 0 - 2000 2000 - 4000 4000 - 6000 6000 and above National Transportation Center @Maryland || www.ntc.umd.edu || www.tep.umd.edu 9 Land Development Scenarios 2010 Base Case Scenario 2010 scenario without any sector plan development 2030 Scenario 2030 scenario with all sector plan developments Only considers routing and traffic congestion changes 2030 Scenario After Behavior Switch 2030 scenario with all sector plan developments Consider traffic congestion and all behavior changes National Transportation Center @Maryland || www.ntc.umd.edu || www.tep.umd.edu 10 Overall Development Impact Cumulative Development Impact of All Sector Plans along the I-270/MD 355 Corridor Year 2010 Base Case 2030 w. Development 2030 After Switch Num. of Trips Avg. Travel Time (min) Avg. Travel Time Index Avg. Speed (mph) 426,958 493,308 493,308 20.1 26.7 (33%) 24.5 (22%) 1.78 2.22 (25%) 2.05 (15%) 36.2 32.0 (-12%) 34.0 (-6%) National Transportation Center @Maryland || www.ntc.umd.edu || www.tep.umd.edu 11 Traffic Congestion Comparison 2010 AM Density 2030 AM Density National Transportation Center @Maryland || www.ntc.umd.edu || www.tep.umd.edu 12 Peak Spreading Impact Overall Demand Pattern Change 4 x 10 3.5 3 # of Travelers 2.5 2 2010 2030 2030 After Switch 1.5 1 0.5 The Duration of the AM Peak Period will Increase by 45 Minutes. 0 4:00 5:00 6:00 7:00 8:00 9:00 10:00 Time National Transportation Center @Maryland || www.ntc.umd.edu || www.tep.umd.edu 13 I-270 SB Travel Time by TOD I-270 SB(2) 35 2010 2030 2030 After Switch Travel Time (min) 30 25 20 15 10 5 6:00 6:30 7:00 7:30 8:00 8:30 9:00 Time National Transportation Center @Maryland || www.ntc.umd.edu || www.tep.umd.edu 14 Changes in Destinations/Routes Diverting from I-270 and MD 355 to ICC and I-495 (Southbound Traffic, AM Peak) 1: ICC Legend Through traffic Diverting traffic Unit: 1000 trips 2010 2030 Change I-270 Thru 32.7 36.1 10% MD355 Thru 4.5 6.0 32% I-270 Divert 4.3 9.7 123% MD355 Divert 1.1 2.9 170% 2010 2030 Change I-270 Thru 25.2 25.8 2% MD355 Thru 9.3 10.5 12% I-270 Divert 14.0 13.0 7% MD355 Divert 0.4 0.6 56% 2: I-495 Legend Through traffic Diverting traffic National Transportation Center @Maryland || www.ntc.umd.edu || www.tep.umd.edu 15 Summary An integrated modeling tool for individual or cumulative land development impact analysis (and ICM, ATM, and TSM&O applications) Builds on 4-step travel demand, agent-based travel behavior, and dynamic traffic assignment models Considers local and regional traffic impact Shows traffic impact by intersection, by corridor, by subarea, and by time of day (min-by-min) Incorporates behavior responses such as routing change, traffic redistribution, peak spreading, and modal shifts Visualizes results with easy-to-understand graphs and animation National Transportation Center @Maryland || www.ntc.umd.edu || www.tep.umd.edu 16 Thank You! Questions, Comments, and Suggestions are Welcome. Please Contact: Lei Zhang, Ph.D. Associate Professor Director, National Transportation Center Department of Civil and Environmental Engineering 1173 Glenn Martin Hall, University of Maryland College Park, MD 20742 Email: [email protected] Phone: 301-405-2881 Web: http://www.lei.umd.edu Center: http://www.ntc.umd.edu National Transportation Center @Maryland || www.ntc.umd.edu || www.tep.umd.edu 17
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