Modeling and Simulation of Bus Priority Oriented Urban Road Network Elastic Equilibrium

As the poor applicability of rail transit and elevated road limited by economy, population and many other factors, the waste of road resources caused by bus lane, maximizing application of available road resources and bus facilities, reducing the environmental pollution is the critical issue faced b...

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Bibliographic Details
Published in:Advanced engineering forum Vol. 5; pp. 150 - 154
Main Authors: Zhang, Ya Ping, Wei, Yu, Liu, Li Hua
Format: Journal Article
Language:English
Published: Trans Tech Publications Ltd 01.01.2012
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ISSN:2234-9898, 2234-991X, 2234-991X
Online Access:Get full text
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Summary:As the poor applicability of rail transit and elevated road limited by economy, population and many other factors, the waste of road resources caused by bus lane, maximizing application of available road resources and bus facilities, reducing the environmental pollution is the critical issue faced by current situation of urban transportation development in China. Guided by Bus Priority Oriented, utilized comprehensive techniques, such as ABC classification, bi-level programming model, sensitivity analysis, this paper constructed a theoretical frame of elastic equilibrium based on system optimization. Taking time and environment as optimized objectives, This paper established the Bi-Level multiobjective programming model based on travel time, and programmed with MATLAB for the calculation. Finally, the case study is illustrated. the software VISSIM was adopted to realize the simulation of the volume before and after the implementation of elastic plan in urban areas of PingDingshan. The simulation results showed the validity and feasibility of the modeling and simulation of Bus Priority Oriented urban road network elastic equilibrium.
Bibliography:Selected, peer reviewed papers from the 1st International Doctoral Annual Symposium on Intelligent Transportation Technique and Sustainable Development, September 15-16, 2012, Harbin, China
ISSN:2234-9898
2234-991X
2234-991X
DOI:10.4028/www.scientific.net/AEF.5.150