NDLI: A Hybrid Route Choice Model for Dynamic Traffic Assignment

Please wait, while we are loading the content...

A Hybrid Route Choice Model for Dynamic Traffic Assignment

Content Provider	Springer Nature Link
Author	Qian, Zhen Sean Zhang, H. Michael
Copyright Year	2012
Abstract	Network user equilibrium or user optimum is an ideal state that can hardly be achieved in real traffic. More often than not, every day traffic tends to be in disequilibrium rather than equilibrium, thanks to uncertainties in demand and supply of the network. In this paper we propose a hybrid route choice model for studying non-equilibrium traffic. It combines pre-trip route choice and en-route route choice to solve dynamic traffic assignment (DTA) in large-scale networks. Travelers are divided into two groups, habitual travelers and adaptive travelers. Habitual travelers strictly follow their pre-trip routes which can be generated in the way that major links, such as freeways or major arterial streets, are favored over minor links, while taking into account historical traffic information. Adaptive travelers are responsive to real-time information and willing to explore new routes from time to time. We apply the hybrid route choice model in a synthetic medium-scale network and a large-scale real network to assess its effect on the flow patterns and network performances, and compare them with those obtained from Predictive User Equilibrium (PUE) DTA. The results show that PUE-DTA usually produces considerably less congestion and less frequent queue spillback than the hybrid route choice model. The ratio between habitual and adaptive travelers is crucial in determining realistic flow and queuing patterns. Consistent with previous studies, we found that, in non-PUE DTA, supplying a medium sized group (usually less than 50%) of travelers real-time information is more beneficial to network performance than supplying the majority of travelers with real-time information. Finally, some suggestions are given on how to calibrate the hybrid route choice model in practice to produce realistic results.
Starting Page	183
Ending Page	203
Page Count	21
File Format	PDF
ISSN	1566113X
Journal	Networks and Spatial Economics
Volume Number	13
Issue Number	2
e-ISSN	15729427
Language	English
Publisher	Springer US
Publisher Date	2012-05-25
Publisher Place	Boston
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Dynamic traffic assignment Hybrid route choice Traveler heterogeneity Regional/Spatial Science Civil Engineering Operations Research/Decision Theory
Content Type	Text
Resource Type	Article
Subject	Artificial Intelligence Computer Networks and Communications Software

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

DTA2012 Symposium: Combining Disaggregate Route Choice Estimation with Aggregate Calibration of a Dynamic Traffic Assignment Model

Comparison of Methods for Path Flow Reassignment for Dynamic User Equilibrium

Combined Route Choice and Adaptive Traffic Control in a Day-to-day Dynamical System

Considering En-Route Choices in Utility-Based Route Choice Modelling

Special Issue on Dynamic Traffic Assignment, Parts 1 and 2 : Dynamic Traffic Assignment: Theory, Computation and Emerging Paradigms

Linear Programming Formulation for Strategic Dynamic Traffic Assignment

Erratum to: Dynamic Traffic Assignment: Theory, Computation and Emerging Paradigms

A Hybrid Deployable Dynamic Traffic Assignment Framework for Robust Online Route Guidance

Incorporating Ridesharing in the Static Traffic Assignment Model

A Hybrid Route Choice Model for Dynamic Traffic Assignment

Similar Documents

DTA2012 Symposium: Combining Disaggregate Route Choice Estimation with Aggregate Calibration of a Dynamic Traffic Assignment Model

Comparison of Methods for Path Flow Reassignment for Dynamic User Equilibrium

Combined Route Choice and Adaptive Traffic Control in a Day-to-day Dynamical System

Considering En-Route Choices in Utility-Based Route Choice Modelling

Special Issue on Dynamic Traffic Assignment, Parts 1 and 2 : Dynamic Traffic Assignment: Theory, Computation and Emerging Paradigms

Linear Programming Formulation for Strategic Dynamic Traffic Assignment

Erratum to: Dynamic Traffic Assignment: Theory, Computation and Emerging Paradigms

A Hybrid Deployable Dynamic Traffic Assignment Framework for Robust Online Route Guidance

Incorporating Ridesharing in the Static Traffic Assignment Model

A Hybrid Route Choice Model for Dynamic Traffic Assignment