Abstract
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.
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