Simulation model based on Monte Carlo method for traffic assignment in local area road network

Yuchuan DU, Yuanjing GENG, Lijun SUN

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PDF(355 KB)
Front. Struct. Civ. Eng. ›› 2009, Vol. 3 ›› Issue (2) : 195-203. DOI: 10.1007/s11709-009-0032-3
RESEARCH ARTICLE
RESEARCH ARTICLE

Simulation model based on Monte Carlo method for traffic assignment in local area road network

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Abstract

For a local area road network, the available traffic data of traveling are the flow volumes in the key intersections, not the complete OD matrix. Considering the circumstance characteristic and the data availability of a local area road network, a new model for traffic assignment based on Monte Carlo simulation of intersection turning movement is provided in this paper. For good stability in temporal sequence, turning ratio is adopted as the important parameter of this model. The formulation for local area road network assignment problems is proposed on the assumption of random turning behavior. The traffic assignment model based on the Monte Carlo method has been used in traffic analysis for an actual urban road network. The results comparing surveying traffic flow data and determining flow data by the previous model verify the applicability and validity of the proposed methodology.

Keywords

traffic assignment / local area road network / turning ratio / Monte Carlo method

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Yuchuan DU, Yuanjing GENG, Lijun SUN. Simulation model based on Monte Carlo method for traffic assignment in local area road network. Front Arch Civil Eng Chin, 2009, 3(2): 195‒203 https://doi.org/10.1007/s11709-009-0032-3

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Acknowledgements

This paper was based on the result of the research project “Exploring the Characteristics of Travel Behavior under Influence of Public Traffic Guidance Means and Modeling in the Actual Urban Traffic Network,” which was supported by a research grant (Grant No. 60804048) from the National Natural Science Foundation of China and “Study on Integrated Intelligent Transportation System and the Piloting Projects for 2010 EXPO in Shanghai” which was supported by a research grant (No.2006BAG01A02) from the Ministry of Science and Technology of the People’s Republic of China. The authors take sole responsibility for all views and opinions expressed in the paper.

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2014 Higher Education Press and Springer-Verlag Berlin Heidelberg
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