Abstract
The emergence of wireless communication technologies such as Dedicated Short-Range Communication (DSRC) has promoted the evolution of collision warning from simple ranging-sensor-based systems to cooperative systems. In cooperative systems, path prediction is a promising method for reflecting a driver’s intention and estimating the future position of vehicles. In this study, a short-term trajectory-modelling method is proposed to predict vehicle motion behaviour in the cooperative vehicular environment. In addition, a collision detection algorithm for winding roads is presented based on a model for determining the minimum distance of vehicles’ future trajectories. The cooperative collision avoidance system’s performance is analysed through simulation, providing useful theoretical insights into the effects of DSRC technology on vehicle collision avoidance in a curved road environment.
Highlights
Vehicle and road safety has long been a key issue for communities and governments
It is difficult for a driver to observe oncoming vehicles, and the sensors installed in a vehicle cannot detect potential dangers if they are hidden by obstructions
This paper analysed collision detection on a curved road using a cooperative vehicle motion model, which considers the curvature of the road and the dynamic states of vehicles
Summary
Vehicle and road safety has long been a key issue for communities and governments. Daily, many road accidents occur, especially in curved road environments. In CCW, vehicles exchange information such as time, longitude, latitude, course, and velocity among neighbouring vehicles via wireless communication For such systems, collision detection is paramount and the exchanged data are used to identify potential dangers. A previous study (Lin et al 2000) addressed the on-board prediction of a motor vehicle’s path using the numerical integration of a linearized two-degree-of-freedom vehicle-handling model Another important task of CCW is analysing the time to avoid collision. Tang and Yip (2010) analysed the timing of events and how they influenced collision avoidance strategies They found that the warning strategies for collision avoidance were constrained by the timing of events such as DSRC communication latency, detection range, road condition and driver reaction and deceleration rate. Conclusions and future work are discussed in the last section
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