Open AccessCoordination and Optimization of Urban Traffic Control and Path Guidance Based on Multi-Agent
Author(s) -
ZhengQin Wang
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1345/4/042058
Subject(s) - control (management) , reliability (semiconductor) , computer science , urbanization , process (computing) , modernization theory , population , path (computing) , signal (programming language) , transport engineering , engineering , computer network , artificial intelligence , medicine , power (physics) , physics , environmental health , quantum mechanics , economics , programming language , economic growth , operating system
With the development of society, the urbanization process is accelerating, the urban population is growing rapidly, and the traffic problems are becoming more and more prominent, which seriously affects the normal operation of the city. Transportation is the lifeblood of the city. Scientific management and control is an important way to improve the efficiency of urban traffic operation, and it is also an important symbol of urban transportation modernization, informationization and intelligence. This paper aims to study the new coordinated control method of traffic signals. Different from the traditional coordinated control method of centralized control and hierarchical control, a multi-agent distributed traffic signal coordination control system is established, which distributes the main functions of signal control to Signal control agents at various intersections reduce to the complexity of the control algorithm and improve the reliability and intelligence of the system.