A Safety Collision Avoidance Algorithm Based on Comprehensive Characteristics

Abstract

Aiming at the requirements of vehicle safety collision avoidance system, a safety collision avoidance algorithm based on environmental characteristics and driver characteristics is proposed. By analyzing the relationship between collision avoidance time and the environment, a safety time model is established. In the established safety time model, parameters based on driver characteristics are added, which increases the flexibility of the algorithm. The algorithm can adapt to more different driving conditions and give appropriate warning thresholds. After simulation and comparison with other algorithms, the algorithm proposed in this paper can satisfied the requirements of reducing vehicle collision risk. The effectiveness and feasibility of the algorithm are verified, and the safety of vehicle driving can be improved.

Multi-Factor Rear-End Collision Avoidance in Connected Autonomous Vehicles

“…Figure 1 depicts the VANET. The authors in [11] proposed a safety collision avoidance algorithm. This algorithm takes the characteristics of environment and driver and assign weights to these factors.…”

“…These are all the inputs to the mental factors which affect driving. According to authors in [11,12], driving experience matters a lot in accident occurrence. The age and gender of the driver [12] also contribute to chances of accident.…”

“…Driver characteristics can be added in reducing accident chances and increasing the flexibility of the algorithm. The authors in [11] proposed an algorithm in which they pass the characteristics of driver in the proposed algorithm and showed a significant improvement. Driver's characteristics are also important in decision making because the warning thresholds can be improved by adding driver experience [12], age, and time of accident, along with the factors that are used in [8].…”

“…The combinations of these factors, as discussed in [8,11,12], can improve decision making while driving. We will use fuzzy logic to check how these factors can increase the chances of accidents.…”

“…The actions can be simulated with the help of NetLogo Tool. This is possible if we fed the input of multi-levels of factors, such as environmental and physical conditions [8], driver [11], and weekday and time [12], into the simulation model.…”