A model of avoiding traffic accidents between drivers and pedestrians in signalized intersections in VANETs

With the development of society, more and more families have their own private vehicles. Thus, the total number of vehicles has been greatly increased in recent years, which has a bad effect on the process of achieving each family's convenient life aims due to traffic jams and traffic accidents. Especially, the traffic accidents that occurred around the intersections between drivers and pedestrians have already become serious society issues recently. Therefore, it is necessary to give useful measures to avoid these kinds of accidents. Therefore, according to the authors' knowledge, there have been no related measures until now, and currently it is just based on the personal judgments of the drivers and pedestrians. Hence, this paper gives a feasible scheme for how to avoid the traffic accidents between drivers and pedestrians in signalized intersections. A Markov chain-based scheme was proposed for the calculation of the traffic accident probability in the signalized intersections. Simulations were conducted to verify the performances of the proposed scheme, and its superiority could be observed by comparing with the situation of without accident avoiding schemes in typical urban road network scenarios.