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Title:

Traffic Assignment Paradox Incorporating Congestion and Stochastic Perceived Error Simultaneously

Accession Number:

01661464

Record Type:

Component

Abstract:

This paper analyzes how congestion and stochastic perceived error in route choice behavior simultaneously affect traffic paradox using the traditional logit stochastic user equilibrium (SUE) model. This analysis is conducted on both a simple two-link network and the Braess’ network. The authors analyze not only the paradox corresponding to the total/average travel cost for two cases (i.e., marginal improvement and adding a link), but also the paradox corresponding to the total/average perceived travel cost in which a higher stochastic perceived error may decrease the travelers’ average travel cost. Some interesting insights are obtained. They may be helpful for traffic engineers and planners to deeply understand the complexity of traffic assignment paradox incorporating congestion and stochastic perceived error simultaneously.

Supplemental Notes:

This paper was sponsored by TRB committee ADB30 Standing Committee on Transportation Network Modeling.

Report/Paper Numbers:

18-05251

Language:

English

Authors:

Yao, Jia
Dai, Jingtong
Chen, Anthony
Cheng, Zhanhong
An, Shi

Pagination:

5p

Publication Date:

2018

Conference:

Transportation Research Board 97th Annual Meeting

Location: Washington DC, United States
Date: 2018-1-7 to 2018-1-11
Sponsors: Transportation Research Board

Media Type:

Digital/other

Features:

Figures; References

Uncontrolled Terms:

Subject Areas:

Highways; Planning and Forecasting

Source Data:

Transportation Research Board Annual Meeting 2018 Paper #18-05251

Files:

TRIS, TRB, ATRI

Created Date:

Jan 8 2018 11:19AM