Research on Mandatory Lane-Changing Behavior in Highway Weaving Sections
As the accident-prone sections and bottlenecks, highway weaving sections will become more complicated when it comes to the mixed-traffic environments with connected and automated vehicles (CAVs) and human-driven vehicles (HVs). In order to make CAVs accurately identify the driving behavior of manual...
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2020-01-01
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Series: | Journal of Advanced Transportation |
Online Access: | http://dx.doi.org/10.1155/2020/3754062 |
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doaj-b09dd092d0684e3aaa92096d65108c652020-11-25T02:59:46ZengHindawi-WileyJournal of Advanced Transportation0197-67292042-31952020-01-01202010.1155/2020/37540623754062Research on Mandatory Lane-Changing Behavior in Highway Weaving SectionsWei Hao0Zhaolei Zhang1Zhibo Gao2Kefu Yi3Li Liu4Jie Wang5Hunan Key Laboratory of Smart Roadway and Cooperative Vehicle-Infrastructure Systems, Changsha University of Science &Technology, Changsha 410205, ChinaHunan Key Laboratory of Smart Roadway and Cooperative Vehicle-Infrastructure Systems, Changsha University of Science &Technology, Changsha 410205, ChinaThe Key Laboratory of Road and Traffic Engineering, Ministry of Education, Tongji University, 4800 Cao’an Road, Shanghai 201804, ChinaSchool of Automotive and Mechanical Engineering, Changsha University of Science &Technology, Changsha 410076, ChinaSchool of Automotive and Mechanical Engineering, Changsha University of Science &Technology, Changsha 410076, ChinaHunan Key Laboratory of Smart Roadway and Cooperative Vehicle-Infrastructure Systems, Changsha University of Science &Technology, Changsha 410205, ChinaAs the accident-prone sections and bottlenecks, highway weaving sections will become more complicated when it comes to the mixed-traffic environments with connected and automated vehicles (CAVs) and human-driven vehicles (HVs). In order to make CAVs accurately identify the driving behavior of manual-human vehicles to avoid traffic accidents caused by lane changing, it is necessary to analyze the characteristics of the mandatory lane-changing (MCL) process in the weaving area. An analytical MCL method based on the driver’s psychological characteristics is proposed in this study. Firstly, the driver’s MLC pressure concept was proposed by leading in the distance of the off-ramp. Then, the lane-changing intention was quantified by considering the driver’s MLC pressure and tendentiousness. Finally, based on the lane-changing intention and the headway distribution of the target lane, an MLC positions probability density model was proposed to describe the distribution characteristics of the lane-changing position. Through the NGSIM data verification, the lane-changing analysis models can objectively describe the vehicle lane-changing characteristics in the actual scenarios. Compared with the traditional lane-changing model, the proposed models are more interpretable and in line with the driving intention. The results show significant improvements in the lane-changing safe recognition of CAVs in heterogeneous traffic flow (both CAVs and HVs) in the future.http://dx.doi.org/10.1155/2020/3754062 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Wei Hao Zhaolei Zhang Zhibo Gao Kefu Yi Li Liu Jie Wang |
spellingShingle |
Wei Hao Zhaolei Zhang Zhibo Gao Kefu Yi Li Liu Jie Wang Research on Mandatory Lane-Changing Behavior in Highway Weaving Sections Journal of Advanced Transportation |
author_facet |
Wei Hao Zhaolei Zhang Zhibo Gao Kefu Yi Li Liu Jie Wang |
author_sort |
Wei Hao |
title |
Research on Mandatory Lane-Changing Behavior in Highway Weaving Sections |
title_short |
Research on Mandatory Lane-Changing Behavior in Highway Weaving Sections |
title_full |
Research on Mandatory Lane-Changing Behavior in Highway Weaving Sections |
title_fullStr |
Research on Mandatory Lane-Changing Behavior in Highway Weaving Sections |
title_full_unstemmed |
Research on Mandatory Lane-Changing Behavior in Highway Weaving Sections |
title_sort |
research on mandatory lane-changing behavior in highway weaving sections |
publisher |
Hindawi-Wiley |
series |
Journal of Advanced Transportation |
issn |
0197-6729 2042-3195 |
publishDate |
2020-01-01 |
description |
As the accident-prone sections and bottlenecks, highway weaving sections will become more complicated when it comes to the mixed-traffic environments with connected and automated vehicles (CAVs) and human-driven vehicles (HVs). In order to make CAVs accurately identify the driving behavior of manual-human vehicles to avoid traffic accidents caused by lane changing, it is necessary to analyze the characteristics of the mandatory lane-changing (MCL) process in the weaving area. An analytical MCL method based on the driver’s psychological characteristics is proposed in this study. Firstly, the driver’s MLC pressure concept was proposed by leading in the distance of the off-ramp. Then, the lane-changing intention was quantified by considering the driver’s MLC pressure and tendentiousness. Finally, based on the lane-changing intention and the headway distribution of the target lane, an MLC positions probability density model was proposed to describe the distribution characteristics of the lane-changing position. Through the NGSIM data verification, the lane-changing analysis models can objectively describe the vehicle lane-changing characteristics in the actual scenarios. Compared with the traditional lane-changing model, the proposed models are more interpretable and in line with the driving intention. The results show significant improvements in the lane-changing safe recognition of CAVs in heterogeneous traffic flow (both CAVs and HVs) in the future. |
url |
http://dx.doi.org/10.1155/2020/3754062 |
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