Comparing Calibration Methods for Microscopic Traffic Simulation Models
Microscopic traffic simulation models are widely used for evaluating road geometry changes, traffic signal plan updates or other transportation policies since they are much faster, safer and cheaper than actual field implementations. However, without proper calibration, the results could be misleading and unreliable. The purpose of this research is comparing calibration methods based on the application of the Genetic Algorithm (GA), Simulated Annealing algorithm (SA) and Tabu Search algorithm (TS) as optimization tools for determining an optimal set of microscopic traffic simulation models (AIMSUN, PARAMICS) parameter values. The paper also includes the development of the optimization program using C++ language for the AIMSUN API and PARAMICS API to implement the proposed calibration process. For this purpose, field data collected on weekdays over a 40 km segment of Jung-bu Expressway and a 30km segment of Je-eeh Jung-bu Expressway, Korea were used. The results from AIMSUN and PARAMICS after calibration show that GA, SA and TS are able to search for a set of parameter values which is match the field speed closely.
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Corporate Authors:
Tokyo,
Japan
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Brussels, Belgium B-1050 -
Authors:
- Kim, Wonkyu
- Park, Jaesung
- Kang, Youn-Soo
- Kang, Gyeong Pyo
- Kim, Hyeonmi
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Conference:
- 17th ITS World Congress
- Location: Busan , Korea, South
- Date: 2010-10-25 to 2010-10-29
- Publication Date: 2010
Language
- English
Media Info
- Media Type: DVD
- Features: Figures; References; Tables;
- Pagination: 16p
- Monograph Title: 17th ITS World Congress, Busan, 2010: Proceedings
Subject/Index Terms
- TRT Terms: Algorithms; Calibration; Genetic algorithms; Microscopic traffic flow; Traffic models; Traffic simulation
- Identifier Terms: AIMSUN (Computer model); Paramics (Computer program)
- Subject Areas: Highways; Operations and Traffic Management; I70: Traffic and Transport;
Filing Info
- Accession Number: 01350567
- Record Type: Publication
- Files: TRIS
- Created Date: Aug 29 2011 7:43AM