A video-based approach to calibrating car-following parameters in VISSIM for urban traffic
Microscopic simulation models need to be calibrated to represent realistic local traffic conditions. Traditional calibration methods are conducted by searching for the model parameter set that minimizes the discrepancies of certain macroscopic metrics between simulation results and field observation...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
KeAi Communications Co., Ltd.
2016-08-01
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| Series: | International Journal of Transportation Science and Technology |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2046043016000022 |
| _version_ | 1827884698356940800 |
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| author | Zhengyang Lu Ting Fu Liping Fu Sajad Shiravi Chaozhe Jiang |
| author_facet | Zhengyang Lu Ting Fu Liping Fu Sajad Shiravi Chaozhe Jiang |
| author_sort | Zhengyang Lu |
| collection | DOAJ |
| description | Microscopic simulation models need to be calibrated to represent realistic local traffic conditions. Traditional calibration methods are conducted by searching for the model parameter set that minimizes the discrepancies of certain macroscopic metrics between simulation results and field observations. However, this process could easily lead to inappropriate selection of calibration parameters and thus erroneous simulation results. This paper proposes a video-based approach to incorporate direct measurements of car-following parameters into the process of VISSIM model calibration. The proposed method applies automated video processing techniques to extract vehicle trajectory data and utilizes the trajectory data to determine values of certain car-following parameters in VISSIM. This paper first describes the calibration procedure step by step, and then applies the method to a case study of simulating traffic at a signalized intersection in VISSIM. From the field-collected video footage, trajectories of 1229 through-movement vehicles were extracted and analyzed to calibrate three car-following parameters regarding desired speed, desired acceleration, and safe following distance, respectively. The case study demonstrates the advantages and feasibility of the proposed approach. |
| first_indexed | 2024-03-12T19:33:44Z |
| format | Article |
| id | doaj.art-b144e82bb22f4a2a8b1a212a2f197983 |
| institution | Directory Open Access Journal |
| issn | 2046-0430 |
| language | English |
| last_indexed | 2024-03-12T19:33:44Z |
| publishDate | 2016-08-01 |
| publisher | KeAi Communications Co., Ltd. |
| record_format | Article |
| series | International Journal of Transportation Science and Technology |
| spelling | doaj.art-b144e82bb22f4a2a8b1a212a2f1979832023-08-02T04:19:03ZengKeAi Communications Co., Ltd.International Journal of Transportation Science and Technology2046-04302016-08-01511910.1016/j.ijtst.2016.06.001A video-based approach to calibrating car-following parameters in VISSIM for urban trafficZhengyang Lu0Ting Fu1Liping Fu2Sajad Shiravi3Chaozhe Jiang4Department of Civil and Environmental Engineering, University of Waterloo, 200 University Avenue West, Waterloo, Ontario N2L 3G1, CanadaDepartment of Civil Engineering and Applied Mechanics, McGill University, 817 Sherbrooke St. W., Montreal, Quebec H3A 2K6, CanadaDepartment of Civil and Environmental Engineering, University of Waterloo, 200 University Avenue West, Waterloo, Ontario N2L 3G1, CanadaDepartment of Civil and Environmental Engineering, University of Waterloo, 200 University Avenue West, Waterloo, Ontario N2L 3G1, CanadaDepartment of Civil and Environmental Engineering, University of Waterloo, 200 University Avenue West, Waterloo, Ontario N2L 3G1, CanadaMicroscopic simulation models need to be calibrated to represent realistic local traffic conditions. Traditional calibration methods are conducted by searching for the model parameter set that minimizes the discrepancies of certain macroscopic metrics between simulation results and field observations. However, this process could easily lead to inappropriate selection of calibration parameters and thus erroneous simulation results. This paper proposes a video-based approach to incorporate direct measurements of car-following parameters into the process of VISSIM model calibration. The proposed method applies automated video processing techniques to extract vehicle trajectory data and utilizes the trajectory data to determine values of certain car-following parameters in VISSIM. This paper first describes the calibration procedure step by step, and then applies the method to a case study of simulating traffic at a signalized intersection in VISSIM. From the field-collected video footage, trajectories of 1229 through-movement vehicles were extracted and analyzed to calibrate three car-following parameters regarding desired speed, desired acceleration, and safe following distance, respectively. The case study demonstrates the advantages and feasibility of the proposed approach.http://www.sciencedirect.com/science/article/pii/S2046043016000022 |
| spellingShingle | Zhengyang Lu Ting Fu Liping Fu Sajad Shiravi Chaozhe Jiang A video-based approach to calibrating car-following parameters in VISSIM for urban traffic International Journal of Transportation Science and Technology |
| title | A video-based approach to calibrating car-following parameters in VISSIM for urban traffic |
| title_full | A video-based approach to calibrating car-following parameters in VISSIM for urban traffic |
| title_fullStr | A video-based approach to calibrating car-following parameters in VISSIM for urban traffic |
| title_full_unstemmed | A video-based approach to calibrating car-following parameters in VISSIM for urban traffic |
| title_short | A video-based approach to calibrating car-following parameters in VISSIM for urban traffic |
| title_sort | video based approach to calibrating car following parameters in vissim for urban traffic |
| url | http://www.sciencedirect.com/science/article/pii/S2046043016000022 |
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