Open AccessResearch on Traffic Control and Induction Collaborative Framework of Smart City in the Environment of Vehicle Network
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 - 10.1088/1742-6596/1237/4/042057
Subject(s) - floating car data , control (management) , the internet , computer science , traffic congestion , smart city , traffic engineering , big data , traffic flow (computer networking) , intelligent transportation system , vehicle information and communication system , transport engineering , internet of things , computer security , engineering , computer network , road traffic , artificial intelligence , world wide web , operating system
At present, how to use the advanced technologies such as Internet of Things and Internet of Vehicles technology, high-precision Beidou positioning technology, big data technology and artificial intelligence technology to integrate and develop the road network resources of existing large and medium-sized cities is domestic. Research hotspots in the academic and engineering fields. This paper deeply analyzes the operation mechanism of traffic control and traffic flow guidance system, and focuses on the application of traffic control and induced coordination. It is proposed to combine multi-agent theory and intelligent decision theory in traffic coordination control to better realize traffic control and induction, provide real-time road network information to better solve existing traffic congestion problems, and seek regional traffic. Optimized control provides a theoretical basis.