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Traffic Injury Prevention Volume 17, 2016 - Issue 6
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Original Articles

Reducing the risk of rear-end collisions with infrastructure-to-vehicle (I2V) integration of variable speed limit control and adaptive cruise control system

Ye LiSchool of Transportation, Southeast University, Nanjing, P. R. China
,
Hao WangSchool of Transportation, Southeast University, Nanjing, P. R. ChinaCorrespondence[email protected]
,
Wei WangSchool of Transportation, Southeast University, Nanjing, P. R. China
,
Shanwen LiuDepartment of City and Regional Planning, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
&
Yun XiangSchool of Civil Engineering and Architecture, Nanchang Hangkong University, Nanchang, P. R. China
Pages 597-603 | Received 23 Jul 2015, Accepted 11 Nov 2015, Published online: 17 Jun 2016

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Shubham Patil, Narayana Raju, Shriniwas S. Arkatkar & Said Easa. (2023) Modeling vehicle collision instincts over road midblock using deep learning. Journal of Intelligent Transportation Systems 27:2, pages 257-271.
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Yanyan Qin & Hao Wang. (2019) Influence of the feedback links of connected and automated vehicle on rear-end collision risks with vehicle-to-vehicle communication. Traffic Injury Prevention 20:1, pages 79-83.
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