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TRANSIMS Microsimulator Application for Improving Fuel Consumption at Urban Corridor. Jaesup Lee University of Virginia & Virginia DOT Byungkyu “Brian” Park & Jaeyoung Kwak University of Virginia.
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TRANSIMS Microsimulator Application for Improving Fuel Consumption at Urban Corridor Jaesup Lee University of Virginia & Virginia DOT Byungkyu “Brian” Park & Jaeyoung Kwak University of Virginia Presented at the 12th TRB National Transportation Planning Applications Conference, May 17-21, 2009, Houston, Texas
Sponsor • Federal Highway Administration • Broad Agency Announcement • Project Manager: Brian Gardner, FHWA
TRANSIMS • Extensively developed in 1990s and demonstrated in Dallas/Ft. Worth and Portland case studies • Integrated activity based modeling and microscopic traffic simulation (cellular automata) • Open source community
Proposed Research • Application of TRANSIMS for Sustainable Transportation: mainly focused on Microsimulator • Microscopic simulator calibration/validation • Integration of the Microsimulator, a fuel consumption and emission model, and an optimizer • Demonstrate feasibility via a case study
TRANSIMS Microsimulator • Explicitly models individual vehicles • Updates vehicle status (e.g., speed and acceleration) every 1-second
Calibration/Validation Procedure See: http://faculty.virginia.edu/brianpark/SimCalVal/
Case Study Network Charlottesville, VA
Calibration Validation Procedure • Experimental Design Approach • Exhaustive search infeasible • Latin Hypercube Sampling method • Developed 200 sets and made 5 replications for each set
Default vs. Calibrated Default Parameters Calibration using an Experimental Design
Validation Calibrated parameters were validated with untried field data
Achieving Sustainable Transportation: Saving Fuel Consumption…
Why VT-Micro Model? • Current EPA Mobile uses average link speed…
Traffic Signal Timing Optimization • SYNCHRO for minimizing delay and stops • Proposed approaches • Minimizing fuel consumption • Minimizing total vehicle-hours-traveled
Performance Evaluation SYNCHRO Optimized – Base Case Note: Results are based on 50 TRANSIMS Microsimulator replications.
Performance Evaluation Proposed Approach – VHT Minimization Note: Results are based on 50 TRANSIMS Microsimulator replications.
Performance Evaluation Proposed Approach – Fuel Consumption Minimization Note: Results are based on 50 TRANSIMS Microsimulator replications.
Concluding Remarks • Calibration/Validation is necessary for TRANSIMS Microsimulator to properly reflect field condition • Successfully integrated VT-Micro emission estimation module, an GA-based optimizer, and Microsimulator
Concluding Remarks (cont’d) • The integrated approach improved fuel consumption and emission over state-of-the-practice tool (i.e., SYNCHRO) • More efficient computation is required for a large scale optimization