Analysis of the Impact of Self-driving Cars on Traffic Flow

Abstract

With the development of intelligent technology, more and more self-driving, cooperating cars appear on the road, which will impact on traffic flow greatly. In this paper, we used the cellular automata algorithm to simulate the impact of the proportion of the number of self-driving cars to non-self-driving cars on traffic flow in the case of different lanes, confluence and divergence, traffic peak and dedicated lanes for self-driving car. And we got the conclusion by analyzing the simulation results: On the whole, Traffic flow increased with the increase of the proportion of the self-driving cars to non-self-driving cars. And in different cases, the proportion was different when the traffic flow reached the maximum, that is, the best proportion was different in different cases.