Journal of the City Planning Institute of Japan
Online ISSN : 2185-0593
Print ISSN : 0916-0647
ISSN-L : 0916-0647
Absorbing Markov Chain Traffic Flow Assignment Using a Dynamic Route Choice Model
Sohta ItohEiji Hato
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JOURNAL OPEN ACCESS

2013 Volume 48 Issue 3 Pages 447-452

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Abstract

An appropriate analysis of the pedestrian movement is needed to evaluate the impact of street improvement projects and spatial changes. We propose the method to develop a pedestrian traffic flow assignment considering roundabout flow and cyclic flow. We first apply the absorbing Markov chain model for the pedestrian flow to describe the flow-independent traffic assignment. The model can also consider various paths including cyclic flow. We then propose a dynamic route choice model to set the transition probabilities in the absorbing Markov chain model. These models are applied for the behavior data in city center in Shunan City, Japan. The results show that street environment affect pedestrians' route choice and that the effect of a program spread in the network with a gradual decrease.

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© 2013 The City Planning Institute of Japan
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