TY - JOUR
T1 - A Combined Activity Nodes Choice and Trip-chain Based User Equilibrium Traffic Assignment Model
AU - Wang, Chung Yung
AU - Hu, Shou Ren
AU - Chu, Chih Peng
N1 - Publisher Copyright:
© 2017 The Authors. Published by Elsevier B.V.
Copyright:
Copyright 2018 Elsevier B.V., All rights reserved.
PY - 2017
Y1 - 2017
N2 - Analysis of traveler behaviors generally includes multiple activities en route among different origin and destination pairs, which are presented as trip chaining. These activities can be decomposed as a single trip into a chain of a primary activity and secondary activities. Because the sequence of different activities is associated with different travel cost during a trip-chain, and some of secondary activities are not necessary to go to the specific nodes to complete these activities. That is, the trip-chain based travelers' trip-chain route choice behaviors and secondary activity nodes choice should be considered simultaneously. In this study, a combined activity nodes choice and trip-chain based user equilibrium traffic assignment model is formulated. A new solution algorithm is also developed, and the model performance was verified using the modified UTown test network. The numerical analysis result has an implication for urban traffic management and sustainable mobility.
AB - Analysis of traveler behaviors generally includes multiple activities en route among different origin and destination pairs, which are presented as trip chaining. These activities can be decomposed as a single trip into a chain of a primary activity and secondary activities. Because the sequence of different activities is associated with different travel cost during a trip-chain, and some of secondary activities are not necessary to go to the specific nodes to complete these activities. That is, the trip-chain based travelers' trip-chain route choice behaviors and secondary activity nodes choice should be considered simultaneously. In this study, a combined activity nodes choice and trip-chain based user equilibrium traffic assignment model is formulated. A new solution algorithm is also developed, and the model performance was verified using the modified UTown test network. The numerical analysis result has an implication for urban traffic management and sustainable mobility.
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U2 - 10.1016/j.trpro.2017.05.271
DO - 10.1016/j.trpro.2017.05.271
M3 - Article
AN - SCOPUS:85020273457
SN - 2352-1457
VL - 25
SP - 2461
EP - 2472
JO - Transportation Research Procedia
JF - Transportation Research Procedia
ER -