Research on the Impact of Traffic Information Coverage Rate on Traffic Congestion. (October 2019)

• Record Type: Journal Article
• Authors: Song, Zhuo; Wang, Fujun
• Is Part Of: IOP conference series. Volume 612:issue 5(2019)
• Publication Date: 2019-10
• Subjects: Materials science -- Periodicals; 620.1105
• DOI: 10.1088/1757-899X/612/5/052041
• Languages: English
• ISSNs: 1757-8981

Abstract

Abstract: With the vigorous development of technologies such as the Internet, Internet of Things, and cloud computing, terms such as "car networking" and "intelligent transport" have gradually appeared in people's field of vision. Traffic information has become more and more timely and comprehensive, which has gradually improved the transportation system. From the perspective of traffic participants' knowledge of information, this paper studies the impact of traffic information coverage on traffic congestion. First, the author established a mathematical model based on optimization theory. Then through simulation, the author simulates the traffic congestion situation in different scenarios (traffic participants have different information), and then obtains the following conclusions: Traffic participants who are completely random or choose their path according to their own preferences will affect road traffic efficiency and cause traffic congestion. In addition, the traffic information coverage rate is not as high as possible, but there is an optimal coverage rate. Finally, through the analysis of the Sancha Road network system, the author has obtained the following conclusion: It is a reasonable situation to set 73% of traffic participants' information transparency, that is, the information coverage rate is 73%.