Enhancing Freeway Safety through Intervening in Traffic Flow Dynamics Based on Variable Speed Limit Control
New technologies and traffic data sources provide great potential to extend advanced strategies in freeway safety research. The High Definition Monitoring System (HDMS) data contribute comprehensive and precise individual vehicle information. This paper proposes an innovative Variable Speed Limit (V...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2018-01-01
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| Series: | Journal of Advanced Transportation |
| Online Access: | http://dx.doi.org/10.1155/2018/3610541 |
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| _version_ | 1832554682395918336 |
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| author | Jinming You Shouen Fang Lanfang Zhang John Taplin Jingqiu Guo |
| author_facet | Jinming You Shouen Fang Lanfang Zhang John Taplin Jingqiu Guo |
| author_sort | Jinming You |
| collection | DOAJ |
| description | New technologies and traffic data sources provide great potential to extend advanced strategies in freeway safety research. The High Definition Monitoring System (HDMS) data contribute comprehensive and precise individual vehicle information. This paper proposes an innovative Variable Speed Limit (VSL) based approach to manage crash risks by intervening in traffic flow dynamics on freeways using HDMS data. We first conducted an empirical analysis on real-time crash risk estimation using a binary logistic regression model. Then, intensive microscopic simulations based on AIMSUN were carried out to explore the effects of various intervention strategies with respect to a 3-lane freeway stretch in China. Different speed limits with distinct compliance rates under specified traffic conditions have been simulated. By taking into account the trade-off between safety benefits and delay in travel time, the speed limit strategies were optimized under various traffic conditions and the model with gradient feedback produces more satisfactory performance in controlling real-time crash risks. Last, the results were integrated into lane management strategies. This research can provide new ideas and methods to reveal the freeway crash risk evolution and active traffic management. |
| format | Article |
| id | doaj-art-ba56d90279a14e05815e2d1025b5508d |
| institution | Kabale University |
| issn | 0197-6729 2042-3195 |
| language | English |
| publishDate | 2018-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Advanced Transportation |
| spelling | doaj-art-ba56d90279a14e05815e2d1025b5508d2025-02-03T05:50:51ZengWileyJournal of Advanced Transportation0197-67292042-31952018-01-01201810.1155/2018/36105413610541Enhancing Freeway Safety through Intervening in Traffic Flow Dynamics Based on Variable Speed Limit ControlJinming You0Shouen Fang1Lanfang Zhang2John Taplin3Jingqiu Guo4Key Laboratory of Road and Traffic Engineering of The Ministry of Education, Tongji University, Shanghai 201804, ChinaKey Laboratory of Road and Traffic Engineering of The Ministry of Education, Tongji University, Shanghai 201804, ChinaKey Laboratory of Road and Traffic Engineering of The Ministry of Education, Tongji University, Shanghai 201804, ChinaBusiness School, The University of Western Australia, WA, 6009, AustraliaKey Laboratory of Road and Traffic Engineering of The Ministry of Education, Tongji University, Shanghai 201804, ChinaNew technologies and traffic data sources provide great potential to extend advanced strategies in freeway safety research. The High Definition Monitoring System (HDMS) data contribute comprehensive and precise individual vehicle information. This paper proposes an innovative Variable Speed Limit (VSL) based approach to manage crash risks by intervening in traffic flow dynamics on freeways using HDMS data. We first conducted an empirical analysis on real-time crash risk estimation using a binary logistic regression model. Then, intensive microscopic simulations based on AIMSUN were carried out to explore the effects of various intervention strategies with respect to a 3-lane freeway stretch in China. Different speed limits with distinct compliance rates under specified traffic conditions have been simulated. By taking into account the trade-off between safety benefits and delay in travel time, the speed limit strategies were optimized under various traffic conditions and the model with gradient feedback produces more satisfactory performance in controlling real-time crash risks. Last, the results were integrated into lane management strategies. This research can provide new ideas and methods to reveal the freeway crash risk evolution and active traffic management.http://dx.doi.org/10.1155/2018/3610541 |
| spellingShingle | Jinming You Shouen Fang Lanfang Zhang John Taplin Jingqiu Guo Enhancing Freeway Safety through Intervening in Traffic Flow Dynamics Based on Variable Speed Limit Control Journal of Advanced Transportation |
| title | Enhancing Freeway Safety through Intervening in Traffic Flow Dynamics Based on Variable Speed Limit Control |
| title_full | Enhancing Freeway Safety through Intervening in Traffic Flow Dynamics Based on Variable Speed Limit Control |
| title_fullStr | Enhancing Freeway Safety through Intervening in Traffic Flow Dynamics Based on Variable Speed Limit Control |
| title_full_unstemmed | Enhancing Freeway Safety through Intervening in Traffic Flow Dynamics Based on Variable Speed Limit Control |
| title_short | Enhancing Freeway Safety through Intervening in Traffic Flow Dynamics Based on Variable Speed Limit Control |
| title_sort | enhancing freeway safety through intervening in traffic flow dynamics based on variable speed limit control |
| url | http://dx.doi.org/10.1155/2018/3610541 |
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