Traffic Optimization via Road Pricing for Queuing and Flow Congestion

被引：0
|
作者：
Kuboi, Yusuke [1 ]
Imura, Jun-ichi [1 ]
Hayakawa, Tomohisa [1 ]
Tanaka, Hideaki [2 ]
Mae, Yuki [2 ]
机构：
[1] Tokyo Inst Technol, Dept Syst & Control Engn, Tokyo, Japan
[2] DENSO CORP, Kariya, Aichi, Japan
来源：
2017 IEEE 20TH INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS (ITSC) | 2017年
关键词：
EVOLUTIONARY IMPLEMENTATION;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, we propose a road pricing mechanism for alleviating the queuing and flow congestions. The road pricing mechanism derives a transit fare on the roads. The transit fare is composed of two kinds of prices, i.e., the congestion price and the right-of-way price. These two kinds of prices solve the flow and the queuing congestion problems, respectively. The proposed mechanism performs an auction and prediction of the traffic for determining appropriate prices after enough number of iterations. Finally, a simulation result is presented to show efficacy of the proposed approach.
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页数：6
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