Multiclass, simultaneous route and departure time choice dynamic traffic assignment with an embedded spatial queuing model

This paper develops a complementarity formulation for a multi-user class, simultaneous route and departure time choice dynamic user equilibrium (DUE) model. A path-based multiclass cell transmission model (mCTM) is embedded to propagate the traffic flow on the network. Heterogeneous user classes are...

Full description

Saved in:
Bibliographic Details
Published in:Transportmetrica. (Abingdon, Oxfordshire, UK) Vol. 7; no. 1; pp. 124 - 146
Main Authors: Zhan, Xianyuan, Ukkusuri, Satish V.
Format: Journal Article
Language:English
Published: Abingdon Taylor & Francis 23.12.2019
Taylor & Francis Ltd
Subjects:
Algorithms
Dynamic traffic assignment
Equilibrium
multi-user class
proximal point algorithm
Queues
spatial queue
Traffic assignment
Traffic flow
transportation networks
Travel time
ISSN:2168-0566, 2168-0582
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:This paper develops a complementarity formulation for a multi-user class, simultaneous route and departure time choice dynamic user equilibrium (DUE) model. A path-based multiclass cell transmission model (mCTM) is embedded to propagate the traffic flow on the network. Heterogeneous user classes are incorporated in the new formulation and heterogeneity is based on different preferred arrival times, cost perception for travel time, early and late arrival penalties. Multiple model properties have been showed. The proposed model is solved as an equivalent non-monotone variational inequality (VI) problem defined on a product set. A modified proximal point algorithm is used to solve the proposed non-monotone VI problem. Numerical results show that the solution approach is able to find the equilibrium or close to equilibrium solutions. The new formulation and solution approach show the feasibility of solving the multiclass DUE problem for general traffic networks.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:2168-0566
2168-0582
DOI:10.1080/21680566.2017.1354738