A Survey of Urban Traffic Signal Control for Agent Recommendation System

被引：0
|
作者：
Chen, Cheng [1 ,2 ]
Zhu, Fenghua [1 ,2 ]
Ai, Yunfeng [3 ]
机构：
[1] Chinese Acad Sci, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
[2] Chinese Acad Sci, Cloud Comp Ctr, Dongguan Res Inst CASIA, Dongguan 523808, Peoples R China
[3] Grad Univ Chinese Acad Sci, Coll Comp & Commun Engn, Beijing 100049, Peoples R China
来源：
2012 15TH INTERNATIONAL IEEE CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS (ITSC) | 2012年
关键词：
CONTROL SCHEME; MANAGEMENT;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Dynamic changes and uncertainty in traffic environments directly spawned lots of strategies about traffic signal control (TSC). Meanwhile, the differences in the traffic environment and demand of control have a significant impact on the performance of strategies about TSC. In order to enable dynamic selection of the most appropriate TSC agents for each specific traffic state in urban traffic transportation system, we firstly propose a survey about urban TSC, which helps us to understand the characteristics of TSC strategies. This survey focuses on the traffic environment about the application of TSC and the demand of TSC. Then, based on the aforementioned survey, we propose one recommendation mechanism for agent-based distributed and adaptive platform for transportation systems to adapt to traffic dynamic characteristic.
引用
收藏
页码：327 / 333
页数：7
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