Open AccessStrategic car‐following gap model considering the effect of cut‐ins from adjacent lanes
Author(s) -
Dou Yangliu,
Ni Daiheng,
Wang Zhao,
Wang Jianqiang,
Yan Fengjun
Publication year - 2016
Publication title -
iet intelligent transport systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.579
H-Index - 45
eISSN - 1751-9578
pISSN - 1751-956X
DOI - 10.1049/iet-its.2016.0149
Subject(s) - cruise control , cooperative adaptive cruise control , hazard , function (biology) , engineering , transport engineering , crash , hazard model , control (management) , computer science , business , artificial intelligence , chemistry , organic chemistry , evolutionary biology , actuarial science , biology , programming language
Drivers are typically faced with two competing challenges when following a preceding vehicle: they need to leave sufficient space in front to ensure safety, while doing so the probability of cut‐ins by other vehicles increases as the car‐following gap (CFG) becomes large. Therefore, a strategic CFG that addresses both challenges becomes critical. This study proposes a method to address the problem through an overall objective function of CFG and velocity considering the safety hazard and the probability of cut‐ins by other vehicles. Based on this, seeking the strategic CFG translates to finding the optimal solution that minimises the overall objective function. With the support of field data, the method along with concrete models are instantiated and application of the method is elaborated. The method presented in this study can be used to enhance traffic safety and improve traffic management in a connected vehicle environment that promises cooperative adaptive cruise control and cooperative crash avoidance systems.