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http://dx.doi.org/10.12815/kits.2012.11.5.062

A Traffic Simulation Model Verification Method Using GPS Equipment  

Hu, Hyejung (한국건설기술연구원 도로연구실)
Baek, Jongdae (한국건설기술연구원 도로연구실)
Han, Sangjin (한국교통연구원 글로벌협력.북한본부)
Publication Information
The Journal of The Korea Institute of Intelligent Transport Systems / v.11, no.5, 2012 , pp. 62-69 More about this Journal
Abstract
Traffic simulation models have been used for assessing various transportation strategies. Through comparing results from a simulation model and real field data, researchers try to show how close the model can reproduce the real world traffic. This model verification step is one of the most essential tasks in modeling procedure. Traffic counts and speeds have been frequently used for the verification or validation. Authors modeled severe PM peak bottleneck situation on the I-40 corridor in Raleigh, North Carolina using DYNASMART-P, a mesoscopic traffic simulation tool and verified the model. NCDOT has Traffic Information Management System which has archive capability for the traffic speeds on the I-40 corridor. However, the authors selected travel time as the field measure for model verification and collected the data using a GPS equipment because the speed data from NCDOT speed detectors are spot speeds which are not appropriate for comparison with link average speed from the simulation model. This paper describes the GPS field data collection procedure, the model verification method, and the results.
Keywords
Traffic Simulation Model; Travel Time; Model Verification; GPS Data; Speed Detector;
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  • Reference
1 D. H. Lee et al, "Parameter Calibration for Paramics Using Genetic Algorithm", Transportation Research Board 80th Annual Meeting, TRB. pp.6-15, 2001.
2 T. Toledo et al, "Calibration and Validation of Microscopic Traffic Simulation Tools: Stockholm Case Study", Transportation Research Record, No. 1831, Transportation Research Board of the National Academies, pp.65-75, 2003.
3 심상우, 최기주, "혼잡상황에서 링크미통과 GPS프로브데이터를 활용한 링크통행시간 추정기법개발", 대한교통학회지, vol. 24, no. 5, pp.7-18, 2006.
4 이영우, 임채문, "GPS 수집자료를 이용한 링크통행시간 분포 특성 분석", 대한교통학회지, vol. 22, no. 5, pp.7-17, 2004.
5 정연식, 최기주, "GPS probe 및 루프 검지기 자료의 융합을 통한 통행시간추정 알고리즘 개발", 대한교통학회지, vol. 17, no. 3, pp.97-116, 1999.
6 최기주, 신치현, "GPS와 GIS를 이용한 링크통행시간 예측기법", 대한교통학회지, vol. 16, no. 2, pp.197-207, 1998.
7 R. Jayakrishnan and H. S. Mahmassani, "In-Vehicle Information Systems for Network Traffic Control: A Simulation Framework to Study Alternative Guidance Strategies", Texas University, Austin, Transportation Center, 1992.
8 Traveler Information Management Systems- NCDOT, http://tims.ncdot.gov/tims/
9 SpeedInfo, http://www.speedinfo.com