In June 2021, the 7th China College Students' "Internet+" Innovation and Entrepreneurship Competition Tongji Intramural Competition was successfully held. Research team members Jinjue Li, Zhuo Ma, Shengyue Liu, Haowen Su, Yuxuan Sun, Junyu Zhu, Lijuan Wan, Mian Wu and Jian Yuan, under the guidance of Professor Ma Wanjing, participated in the competition with the project "MSIGNAL Traffic Signal Control Intelligent Evaluation and Diagnosis System", and won the gold medal and the excellent instructor award.
As the level of urban motorization continues to increase, traffic congestion is becoming more and more serious, causing huge economic losses. Intersections are not only a key point for collection and evacuation of traffic flow in the urban road network, but also a bottleneck point for frequent congestion. Effective signal control helps to improve the efficiency of traffic operation, but the existing intersection control has problems, and it is difficult to accurately identify and optimize the problem. Blindly optimizing the signal control is not only ineffective, but also cause loss of manpower and material resources. Therefore, the "IQ" of the signal control scheme urgently needs to be evaluated to accurately discover problems and guide optimization and improvement. The MAGIC team has developed an intelligent evaluation and diagnosis system for traffic signal control, which quantifies the problems of traffic signal control system/scheme, identifies the optimization direction and evaluates the improvement potential. It has innovative features such as comprehensive perception, intelligent evaluation, automated decision-making, and operation automation. The core achievement has formed a set of intelligent integrated system, covered the two dimensions of time and space, and realized the three main functions of multi-source data processing, application and output of the whole chain. The results of this project can be applied to many units including Internet companies, intelligent transportation companies, planning and design institutes, government agencies and traffic police. It can provide decision support and system applications for the evaluation, diagnosis, optimization and improvement of urban traffic signal control, and help the construction of smart cities and smart transportation.
