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Effectiveness of variable guide information based on simulation(PDF)

长安大学学报（自然科学版）[ISSN:1006-6977/CN:61-1281/TN]

Issue:
2011年02期
Page:
72-76
Research Field:
Publishing date:
2011-04-30

Info

Title:
Effectiveness of variable guide information based on simulation
Author(s):
SHAO Hai-peng1; 2;  SHA Ai-min1
1. School of Highway, Chang'an University, Xi'an 710064, Shaanxi, China; 2. Key Laboratory of Intelligent Transport System of Anhui Province, Hefei 230088, Anhui, China
Keywords:
traffic engineering;  traveler information system;  VMS;  guide information;  traffic simulation;  measure of effectiveness evaluation
PACS:
U491.2
DOI:
-
Abstract:
In order to study the macroscopic behavior of travelers under the influence of guide information, travelers were divided into six groups according to their behavior characters: Traditional(TR), Pre-Specified paths(PS), Bounded-Rational(BR), User Equilibrium(UE)routes followers and System Optimal(SO)routes followers, and Variable Message Sign(VMS)users. Based on VISSIM simulator, the effectiveness evaluation models of every driver types were developed through COM interface. Finally, in the case of a small network, the effectiveness of dynamic guide information for VMS-drivers was evaluated. As a result, simulation-based model can evaluate various types of guide information. With and without comparison under the same traffic demand indicates that VMS can reduce travel time of main arterials, the travel time is decreased 21%. With and without comparison under various traffic demands indicates that VMS can increase the network speed, the average speed is increased about 3.97%. 1 tab, 5 figs, 10 refs.

References:

[1] 邵海鹏.交通语言系统基础问题研究[D].上海:同济大学,2006.
[2]Peeta S,Gedela S.Real-time variable message signs based route guidance consistent with driver behavior[J].Transportation Research Record,2001,1752:117-125.
[3]Durand-Raucher Y,Yim Y,Ygnace J.Traffic information and driver behaviour in Paris region[C]// ASCE.Proceedings of Pacific Rim Transtech Conference.Seattle:ASCE,1993:167-169.
[4]Hato E,Taniguchi M,Sugie Y.Influence of traffic information on driver's route choice[C]// Hensher D,King J,Oum T H.Proceedings of 7th World Conference on Transport Research.Sydney,New York:Pergamon,1995:11-25.
[5]Wardman M,Bonsall P W,Shires J D.Driver response to variable message signs:a stated preference investigation[J].Transportation Research:Part C,1997,5(6):389-405.
[6]James Y K L,Yang C.Comparing driver information systems in a dynamic modeling framework [J].Journal of Transportation Engineering,2003,129(1):42-50.
[7]孙 剑.ATIS环境下交通网络仿真理论及关键技术研究[D].上海:同济大学,2006.
[8]Yen J Y.Finding the K shortest loopless paths in a network[J].Management Science,1971,17(11):712-716.
[9]Mahmassani H S.Development and testing of dynamic traffic assignment and simulation procedures for ATIS/ATMS applications[R].Austin:University of Texas,1994.
[10]Liu H D,Yang X G,Sun J.Parameter calibration for VISSIM using a hybrid heuristic algorithm:a case study of a congested traffic network in China[C]// ASCE.Proceedings of the 9th International Conference on Applications of Advanced Technologies in Transportation Engineering.Reston,VA:ASCE,2006:522-527.

Memo

Memo:
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Last Update: 2011-04-30