Research on Path Optimization of Urban Traffic Guidance System

被引:0
|
作者
Wang, Danping [1 ,2 ]
Hu, Kunyuan [3 ]
机构
[1] Chinese Acad Sci, Beijing 100039, Peoples R China
[2] Shenyang Univ, Coll Informat Engn, Shenyang 110044, Peoples R China
[3] Chinese Acad Sci, Shenyang Inst Automat, Shenyang 110016, Peoples R China
关键词
Internet of Things; Traffic guidance; Path optimization;
D O I
10.4028/www.scientific.net/AMM.624.520
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
With the rapid development of economics and technology; the number of vehicles has largely increased. In this paper, traffic guidance and traffic control systems were researched as well as the Internet of Things (IOT). The author tried to combine these three parts to send traffic data to road users so as to let them choose the best route to travel. Meanwhile, traffic network optimization has been realized to reduce traffic congestion areas. This paper has optimized regional traffic signal control systems based on IOT, traffic guidance as well as traffic assignment, involved data sources, IOT design patterns, data collection as well as the relationship between guidance obeisance rate and traffic jam. It also involved the definition of ideal traffic shortest routes, planning and designing of traffic control systems. Results and researches could hope to combine with reality in order to reduce traffic congestion.
引用
收藏
页码:520 / 523
页数:4
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