This study belongs to the interdisciplinary field of transportation engineering, computer image processing, and decision support systems. Since the reform and opening up, China's urbanization and motorization processes have advanced rapidly, supporting the rapid economic and social development and forming a large number of high-density residential urban environments. However, this has also brought increasingly serious traffic problems. The safe and efficient operation of urban traffic systems requires an integrated traffic control platform that integrates signal control, pedestrian/parking guidance, information services, event management, public transportation operations, and traffic command. Currently, some of the aforementioned application systems in Chinese cities have been scaled up to a certain extent, but the systems operate in an "island" manner, lacking a "nerve center" for multi-system collaboration to ensure the overall benefits are realized. In addition, existing control systems have limited perception capabilities and insufficient accuracy, which not only limit the control effects of each application system but also It is more difficult to meet the needs of collaborative control. In response to the severe problems and great challenges faced by urban development, this project relies on over a dozen topics including 4 National 863 Plans and 5 National Natural Funds, with practical needs and engineering applications as the guiding principles. It integrates theories and methods from transportation engineering and information science to form new technologies, equipment, and platforms for intelligent traffic management supported by precise perception of individual vehicle trajectories/paths and multi-system collaboration. The project includes the following four core technological inventions: (1) Multi-dimensional perception of individual vehicle behavior: This breakthrough in industry technology bottlenecks based on continuous feature point extraction has achieved three-in-one individual vehicle behavior perception that integrates vehicle recognition, automatic tracking, and behavior discrimination. It has integrated research and development of a new type of public security card checkpoint practical platform and front-end equipment; (2) Individual Vehicle Trajectory and Path Multi-Scale Reconstruction: Invented vehicle trajectory estimation based on three-dimensional shock wave theory and a hybrid model of path traffic flow estimation using particle filtering, which improves the perception accuracy of urban traffic status from segment-aggregated units to individual vehicle trajectory units; (3) Urban Traffic Precision Control Based on Vehicle Trajectories and Paths: Invented single-point adaptive and asymmetric multi-bandwidth real-time trunk coordination signal control based on vehicle trajectories, as well as hierarchical and progressive regional collaborative control technology for composite traffic corridors, and developed a new generation of traffic signal controllers and systems based on this; (4) Multi-System Collaborative Integrated Traffic Control Platform: Taking vehicle trajectory data as the core, using multi-resolution simulation optimization and incremental self-learning technology, developed an urban traffic comprehensive control platform. The project has achieved the first-time coordinated interaction operation of 9 typical control systems and automatic generation of control plans. The project has obtained 21 authorized invention patents, 7 utility model patents, 9 software copyright registrations, published 1 monograph, served as the chief editor or co-editor of 3 national/local standards, and published 133 papers, including 42 SCI-indexed and 56 EI-indexed papers. The achievements have been cited and positively evaluated by scholars from more than 30 countries around the world, with a total of over 1,100 citations on Google Scholar/CNKI. According to reports from national level novelty search institutions, among the 11 invention points of the 4 core technological inventions of this project, 3 are not reported domestically or internationally, and another 3 are not reported domestically. The overall project results reach international advanced levels, with some at the forefront of the international community. According to authoritative testing reports from the Traffic Management Science Research Institute of the Ministry of Public Security, the comprehensive control platform developed by the project The project has achieved coordinated linkage between multiple systems and the automatic generation of traffic control strategies. The project's achievements have been widely applied in more than 30 cities across the country, including Shanghai, Shenzhen, Changsha, etc., effectively ensuring major events such as the Shanghai World Expo, the Asian Information Society Summit, the Shenzhen Universiade, and the Wuzhen World Internet Conference. In the past three years, the project's completion unit directly added an output value of 500 million yuan, created indirect economic benefits of 450 million yuan, and brought about good social benefits. At the same time, this invention has broad application prospects against the backdrop of the continuous construction of "safe cities" and "smart cities" and the comprehensive promotion of automotive electronic identification.