Author:
Zhang Lili,Zhao Qi,Yu Pei,Li Jing,Yao Di,Wang Xinzhe,Wang Li,Zhang Lingyu
Abstract
AbstractThough effective in theoretical simulation, the established traffic control models and optimization algorithms will result in model mismatch or even control strategy failure in actual application. However, they are commonly adopted in traffic signal control research, resulting in the unavailability of many exceptional control algorithms in practice. Simulation should function as a bridge between theoretical research and actual application, allowing the gap between the two to be communicated and made up for. However, an effective connection between the two has yet to be established to enable simulation methods in existing traffic control research. To this end, we designed and developed a simulation platform for "Online Application—HILS (Hardware-in-the-Loop Simulation)—Practice" integration over traffic signal control. In this paper, the architecture and characteristics of the integrated simulation platform were described. Besides, the function of each module of the platform was detailed, followed by listing simulation examples for six complex scenarios, with the active control scenario being selected for simulation comparison analysis. The findings demonstrated extensive road network simulation with the integrated simulation platform, multidimensional control variables, control strategies with support, as well as stable and reliable operation. It can be used to verify several sorts of traffic control simulation with variable dimensions.
Funder
the National Key R&D Program of China under Grant
the Beijing Municipal Natural Science Foundation
Cross-Disciplinary Science Foundation from Beijing Institute of Petrochemical Technology
General Project of Science and Technology Plan of Beijing Municipal Education Commission
the Beijing Municipal Great Wall Scholar Program
Publisher
Springer Science and Business Media LLC
Reference39 articles.
1. Zhang, L. L. & Wang, L. Architecture of a new generation of artificial intelligence traffic signal controller. J. Chongqing Jiaotong Univ. 38(11), 6–13 (2019).
2. Hunt, P. B. et al. The SCOOT on-line traffic signal optimisation technique. Traffic Eng. Control 4, 142–149 (1982).
3. Luk, J. Y. K. Two traffic-responsive area traffic control methods: SCAT and SCOOT. Traffic Eng. control 25(1), 100–109 (1984).
4. Yang, W. C. et al. Urban adaptive traffic signal control methods: A survey of the state of art. Transp. Sci. Technol. 04, 152–157 (2017).
5. Hou, Z. S. & Xu, J. X. On data-driven control theory: The state of the art and perspective. Acta Autom. Sin. 35(06), 650–667 (2009).
Cited by
5 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献