Research on modeling and optimization of overtaking rules under intelligent system

Right-lane driving rule is common in most countries in the world. Nonetheless people supported this rule while fail to be aware that it may not have perfect performance in certain aspects. This paper modeled driving rules and discussed performances. We construct an overtaking model and a non-changing lane driving model to illustrate the right-lane driving rule. Computer simulations are employed respectively in light and heavy traffic to show the traffic procedure under these rules. An evaluation model is constructed to measure the traffic flow and safety based on the vehicle number, time of brakes, overtaking and car accident from the simulation data. The evaluation results demonstrated that traffic flow and safety are existence of contradictions. High traffic flow inevitably leads to low safety and vice versa. In order to address the problem, an alternative called free-lane driving rule in intelligence system is built. Under the intelligent system, all the distance and speed are automatic control. Additionally we set up fast traffic lane and slow traffic lane. Computer simulation indicates that performance under intelligence system has a significant progress.