Abstract
In this paper, we present a traffic cyber physical system for urban road traffic signal control, which is referred to as UTSC-CPS. With this proposed system, managers and researchers can realize the construction and simulation of various types of traffic scenarios, the rapid development, and optimization of new control strategies and can apply effective control strategies to actual traffic management. The advantages of this new system include the following. Firstly, the fusion architecture of private cloud computing and edge computing is proposed for the first time, which effectively improves the performance of software and hardware of the urban road traffic signal control system and realizes information security perception and protection in cloud and equipment, respectively, within the fusion framework; secondly, using the concept of parallel system, the depth of real-time traffic control subsystem and real-time simulation subsystem is realized. Thirdly, the idea of virtual scene basic engine and strategy agent engine is put forward in the system design, which separates data from control strategy by designing a general control strategy API and helps researchers focus on control algorithm itself without paying attention to detection data and basic data. Finally, considering China, the system designs a general control strategy API to separate data from control strategy. Most of the popular communication protocols between signal controllers and detectors are private protocols. The standard protocol conversion middleware is skillfully designed, which decouples the field equipment from the system software and achieves the universality and reliability of the control strategy. To further demonstrate the advantages of the new system, we have carried out a one-year practical test in Weifang City, Shandong Province, China. The system has been proved in terms of stability, security, scalability, practicability and rapid practice, and verification of the new control strategy. At the same time, it proves the superiority of the simulation subsystem in the performance and simulation scale by comparing the different-scale road networks of Shunyi District in Beijing and Weifang City in Shandong Province. Further tests were conducted using real intersections, and the results were equally valid.
Highlights
Advances in technologies such as optimization algorithm [1,2,3], vehicle-based collaboration, hybrid driving, autonomous driving, and artificial intelligence enable researchers to develop more innovative signal control strategies and build more traffic scenarios to accommodate changes in transportation demand
In order to solve this problem, we propose a new urban traffic signal control and control architecture based on information physics system theory and parallel system theory and carry out thorough tests to bridge the gap Journal of Advanced Transportation between research and practice of traffic signal control strategies
Considering the requirements of control, information, and computing in characteristics of Information Physics System (CPS) architecture, four supporting platforms are constructed when designing and developing UTSC-CPS system. ey consist of control and simulation platform, private cloud computing platform, intelligent gateway, and edge computing platform, as shown in Figure 2. (A) In the design of control and simulation platform, the idea of parallel system theory and the needs of some urban traffic managers in China are used for reference. e real-time control system and the real-time simulation system are effectively connected through the visual hardware-in-theloop system. erefore, the real-time simulation system provides the rapid realization, verification, and optimization of new control strategies and traffic management concepts
Summary
Advances in technologies such as optimization algorithm [1,2,3], vehicle-based collaboration, hybrid driving, autonomous driving, and artificial intelligence enable researchers to develop more innovative signal control strategies and build more traffic scenarios to accommodate changes in transportation demand. Is project requires the close cooperation of traffic managers, control strategy researchers, information technology professionals, and implementers. Many innovative signal control strategies s break through the traditional signal control theory, and propose a lot of new control logic architecture, which requires it to be tested in the field, and often involves modifying the field equipment. It is time-consuming and labor-intensive, and has certain traffic safety risks. In order to solve this problem, we propose a new urban traffic signal control and control architecture based on information physics system theory and parallel system theory and carry out thorough tests to bridge the gap Journal of Advanced Transportation between research and practice of traffic signal control strategies (hereinafter referred to as UTSC-CPS). Two case studies are used to verify the intersection overflow control strategy and the real-time simulation system
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