Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/83022
Title: A stochastic process traffic assignment model considering stochastic traffic demand
Authors: Han, Linghui
Sun, Huijun
Wang, David Zhi Wei
Zhu, Chengjuan
Keywords: Stochastic process
Day-to-day dynamical model
Issue Date: 2016
Source: Han, L., Sun, H., Wang, D. Z. W., & Zhu, C. (2016). A stochastic process traffic assignment model considering stochastic traffic demand. Transportmetrica B: Transport Dynamics, in press.
Series/Report no.: Transportmetrica B: Transport Dynamics
Abstract: In real traffic network, both link capacity and traffic demand are subject to stochastic fluctuations. These random fluctuations are major sources of travel time uncertainty. All existing stochastic process traffic assignment model models considering the uncertainty of travel time are presented with fixed traffic demand. In this study, a stochastic process traffic assignment model is presented to consider stochastic traffic demand. The traffic demand is assumed to be comprised of two groups of travelers: commuters with fixed traffic demand and irregular travelers with discrete random demand. With mild conditions, it is proved that our stochastic process traffic assignment model is ergodic and has a unique stable distribution. An algorithm is given to describe the stochastic process model. By conducting numerical test, we analyze the effect of commuters' memory length, irregular travelers' demand and commuters' perception error on the stable distribution of our model.
URI: https://hdl.handle.net/10356/83022
http://hdl.handle.net/10220/43820
ISSN: 2168-0566
DOI: 10.1080/21680566.2016.1240051
Schools: School of Civil and Environmental Engineering 
Rights: © 2016 Hong Kong Society for Transportation Studies (published by Taylor & Francis). This is the author created version of a work that has been peer reviewed and accepted for publication in Transportmetrica B: Transport Dynamics, published by Taylor & Francis on behalf of Hong Kong Society for Transportation Studies. It incorporates referee’s comments but changes resulting from the publishing process, such as copyediting, structural formatting, may not be reflected in this document. The published version is available at: [http://dx.doi.org/10.1080/21680566.2016.1240051].
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:CEE Journal Articles

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