2017美赛O奖论文.pdf

Team Control Number For office use only For office use only T1 55583 F1 T2 F2 T3 Problem Chosen F3 T4 C F4 2017 MCM/ICM Summary Sheet Self-driving vehicle’s prospect in traffic network Summary We construct a Mixed Cooperation model to simulate each section of the traffic network independently based on Cellular Automata. We assume that self-driving vehicles need no safety interval compared with non-self-driving ones because of good synchronization with the former vehicle. And also, we assume that the junctions have little influence on simulation because the traffic performance is relatively continuous. Our Mixed Cooperation model contains three main part. First, in our basic model, we presume that traffic counts satisfies uniform distribution in a day. We know the traffic count and lanes of each section of the traffic network , so we can get the traffic density of each road section in a period and continue to use different self-driving ratio to simulate the traffic flow. Next, in our time-based model, we take time model into considera- tion. We presume that traffic density function over time is identical to dual-Gaussian distribution in a day, which means that there are two period of traffic peaks. So we can get the traffic density of each road section in each period of one day and continue to simulate similarly as the basic model. Further, based on