|Table of Contents|

Review of traffic signal control methods under over-saturated conditions(PDF)

《交通运输工程学报》[ISSN:1671-1637/CN:61-1369/U]

Issue:
2013年04期
Page:
116-126
Research Field:
交通信息工程及控制
Publishing date:

Info

Title:
Review of traffic signal control methods under over-saturated conditions
Author(s):
LI Yan1;  ZHAO Zhi-hong2;  LI Peng-fei3; 4;  HUANG Shen-sen1;  CHEN Kuan-min1
1. School of Highway, Chang'an University, Xi'an 710064, Shaanxi, China; 2. School of Information Engineering, Chang'an University, Xi'an 710064, Shaanxi, China; 3. School of Transportation, Southeast University, Nanjing 210096, Jiangsu, China; 4. Centre for Smart Transportation, University of Alberta, Edmonton T6G2R3, Alberta, Canada
Keywords:
traffic signal control;  over-saturated condition;  control strategy;  queue management;  traffic simulation
PACS:
U491.51
DOI:
-
Abstract:
To provide references for traffic control optimization at congested urban road network, various traffic signal control strategies under over-saturated conditions were reviewed and evaluated. Based on the analysis of the characteristics of over-saturated traffic flow, the corresponding optimization principles of traffic signal control under over-saturated conditions were proposed. The traffic control strategies for isolated intersection, coordinated intersections and road network were summarized and evaluated by using VISSIM simulation environment. The control measures of adaptive traffic signal control system with the capability to deal with over-saturated conditions were summarized. Simulation result indicates that traffic signal control strategies under over-saturated conditions should optimize the allocation of road space in the first place. The queue management strategy has better performance on optimizing traffic signal under over-saturated conditions. It is suggested that the strategies like queue ratio maintenance and throughput maximization for critical route should be utilized with real-time traffic information for the optimization at the intersection group or road network level. 4 tabs, 7 figs, 56 refs.

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Last Update: 2013-08-30