Imperial College London
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Professor Washington Yotto Ochieng, EBS, FREng

Faculty of Engineering, Department of Civil and Environmental Engineering

Head of Department of Civil and Environmental Engineering
 
 
 
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Contact

 

+44 (0)20 7594 6104w.ochieng Website

 
 
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Assistant

 

Ms Maya Mistry +44 (0)20 7594 6100

 
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Location

 

441/442Skempton BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Yu:2020:10.1016/j.trc.2020.02.004,
author = {Yu, Y and Han, K and Ochieng, W},
doi = {10.1016/j.trc.2020.02.004},
journal = {Transportation Research Part C: Emerging Technologies},
pages = {59--83},
title = {Day-to-day dynamic traffic assignment with imperfect information, bounded rationality and information sharing},
url = {http://dx.doi.org/10.1016/j.trc.2020.02.004},
volume = {114},
year = {2020}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - This paper presents a doubly dynamic day-to-day (DTD) traffic assignment model with simultaneous route-and-departure-time (SRDT) choices while incorporating incomplete and imperfect information as well as bounded rationality. Two SRDT choice models are proposed to incorporate imperfect travel information: One based on multinomial Logit (MNL) model and the other on sequential, mixed multinomial/nested Logit model. These two variants, serving as base models, are further extended with two features: bounded rationality (BR) and information sharing. BR is considered by incorporating the indifference band into the random utility component of the MNL model, forming a BR-based DTD stochastic model. A macroscopic model of travel information sharing is integrated into the DTD dynamics to account for the impact of incomplete information on travelers’ SRDT choices. These DTD choice models are combined with within-day dynamics following the Lighthill-Whitham-Richards (LWR) fluid dynamic network loading model. Simulations on large-scale networks (Anaheim) illustrate the interactions between users’ adaptive decision making and network conditions (including local disruption) with different levels of information availability and user behavior. Our findings highlight the need for modeling network transient and disequilibriated states, which are often overlooked in equilibrium-constrained network design and optimization. The MATLAB package and computational examples are available at https://github.com/DrKeHan/DTD.
AU  - Yu,Y
AU  - Han,K
AU  - Ochieng,W
DO  - 10.1016/j.trc.2020.02.004
EP  - 83
PY  - 2020///
SN  - 0968-090X
SP  - 59
TI  - Day-to-day dynamic traffic assignment with imperfect information, bounded rationality and information sharing
T2  - Transportation Research Part C: Emerging Technologies
UR  - http://dx.doi.org/10.1016/j.trc.2020.02.004
UR  - http://hdl.handle.net/10044/1/104429
VL  - 114
ER  -
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