Highway Traffic Accident Influence Area Based on Vehicle Bypass Decision-Making Index
In order to reduce the impact of highway traffic accidents on surrounding road networks, accident influence area should be determined reasonably. According to the relationship between vehicle bypass decision-making index and threshold under accident condition, the vehicles’ route choice behavior at...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2017-01-01
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| Series: | Journal of Advanced Transportation |
| Online Access: | http://dx.doi.org/10.1155/2017/5270951 |
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| _version_ | 1832546198717726720 |
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| author | Zhenjun Zhu Yang Lu Jun Zeng Hongsheng Chen |
| author_facet | Zhenjun Zhu Yang Lu Jun Zeng Hongsheng Chen |
| author_sort | Zhenjun Zhu |
| collection | DOAJ |
| description | In order to reduce the impact of highway traffic accidents on surrounding road networks, accident influence area should be determined reasonably. According to the relationship between vehicle bypass decision-making index and threshold under accident condition, the vehicles’ route choice behavior at upstream of the accident spot can be divided into two types: bypass and nonbypass. Under nonbypass condition, the method of using traffic wave theory was put forward to determine the upstream influence area. Under bypass condition, the total number of bypass vehicles is determined based on bypass decision-making index being greater than bypass threshold. Assignment algorithms based on routes were proposed. Using improved Logit model to get the selection probability and the traffic flow of each route, then traffic flow of surrounding links could be obtained. At last, the road network influenced by the accident could be determined by comparing with the level of service of each link under normal condition. The paper takes Beijing-Kunming highway as an example, and the results show that the road network formed by the influenced links was highway traffic accident influence area. Comparing with the actual survey results, correctness of the calculation method is verified. Therefore, the analytical method based on bypass decision-making is applicable to determining highway accident influence area. |
| format | Article |
| id | doaj-art-65fe25308a5f47c9b9759c12c3a5cb23 |
| institution | Kabale University |
| issn | 0197-6729 2042-3195 |
| language | English |
| publishDate | 2017-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Advanced Transportation |
| spelling | doaj-art-65fe25308a5f47c9b9759c12c3a5cb232025-02-03T07:23:34ZengWileyJournal of Advanced Transportation0197-67292042-31952017-01-01201710.1155/2017/52709515270951Highway Traffic Accident Influence Area Based on Vehicle Bypass Decision-Making IndexZhenjun Zhu0Yang Lu1Jun Zeng2Hongsheng Chen3Jiangsu Key Laboratory of Urban ITS, Southeast University, Si Pai Lou No. 2, Nanjing 210096, ChinaKunshan Transport Management Office, Hongqiao Road No. 109, Kunshan 215399, ChinaJiangsu Key Laboratory of Urban ITS, Southeast University, Si Pai Lou No. 2, Nanjing 210096, ChinaSchool of Architecture, Southeast University, Si Pai Lou No. 2, Nanjing 210096, ChinaIn order to reduce the impact of highway traffic accidents on surrounding road networks, accident influence area should be determined reasonably. According to the relationship between vehicle bypass decision-making index and threshold under accident condition, the vehicles’ route choice behavior at upstream of the accident spot can be divided into two types: bypass and nonbypass. Under nonbypass condition, the method of using traffic wave theory was put forward to determine the upstream influence area. Under bypass condition, the total number of bypass vehicles is determined based on bypass decision-making index being greater than bypass threshold. Assignment algorithms based on routes were proposed. Using improved Logit model to get the selection probability and the traffic flow of each route, then traffic flow of surrounding links could be obtained. At last, the road network influenced by the accident could be determined by comparing with the level of service of each link under normal condition. The paper takes Beijing-Kunming highway as an example, and the results show that the road network formed by the influenced links was highway traffic accident influence area. Comparing with the actual survey results, correctness of the calculation method is verified. Therefore, the analytical method based on bypass decision-making is applicable to determining highway accident influence area.http://dx.doi.org/10.1155/2017/5270951 |
| spellingShingle | Zhenjun Zhu Yang Lu Jun Zeng Hongsheng Chen Highway Traffic Accident Influence Area Based on Vehicle Bypass Decision-Making Index Journal of Advanced Transportation |
| title | Highway Traffic Accident Influence Area Based on Vehicle Bypass Decision-Making Index |
| title_full | Highway Traffic Accident Influence Area Based on Vehicle Bypass Decision-Making Index |
| title_fullStr | Highway Traffic Accident Influence Area Based on Vehicle Bypass Decision-Making Index |
| title_full_unstemmed | Highway Traffic Accident Influence Area Based on Vehicle Bypass Decision-Making Index |
| title_short | Highway Traffic Accident Influence Area Based on Vehicle Bypass Decision-Making Index |
| title_sort | highway traffic accident influence area based on vehicle bypass decision making index |
| url | http://dx.doi.org/10.1155/2017/5270951 |
| work_keys_str_mv | AT zhenjunzhu highwaytrafficaccidentinfluenceareabasedonvehiclebypassdecisionmakingindex AT yanglu highwaytrafficaccidentinfluenceareabasedonvehiclebypassdecisionmakingindex AT junzeng highwaytrafficaccidentinfluenceareabasedonvehiclebypassdecisionmakingindex AT hongshengchen highwaytrafficaccidentinfluenceareabasedonvehiclebypassdecisionmakingindex |