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Title:

Mixed Stochastic User Equilibrium Model Considering Influences of Advanced Traveler Information Systems in Degradable Transport Network

Accession Number:

01629172

Record Type:

Component

Abstract:

It is widely believed that Advanced Traveler Information Systems (ATIS) can not only improve drivers’ accessibility to the more accurate route travel time information, but also can improve drivers’ adaptability to the stochastic network capacity degradations. This paper proposes a mixed stochastic user equilibrium model to describe the interactive route choice behaviors between ATIS equipped and unequipped drivers over a degradable transport network. In the proposed model, the information accessibility of equipped drivers is reflected by lower degree of uncertainty in their stochastic equilibrium flow distributions, and their behavioral adaptability is captured by multiple equilibrium behaviors over the stochastic network state set. This paper formulates the mixed equilibrium model as a fixed point problem defined in the mixed route flows, and designs an iterative algorithm for its solution. This paper also conducts numerical experiments to verify the properties of the mixed network equilibrium model and the efficiency of the iterative algorithm. In addition, this paper compares the proposed mixed equilibrium model with the traditional one which always neglects the effect of AITS in disseminating real-time information for drivers’ adaptive travel adjustments. The comparison result reveals that ignoring the influence of ATIS on drivers’ behavioral adaptability will lead to significant underestimations of both the information benefits perceived by drivers and the equilibrium levels of ATIS market penetration.

Supplemental Notes:

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

Monograph Accession #:

01618707

Report/Paper Numbers:

17-03580

Language:

English

Corporate Authors:

Transportation Research Board

500 Fifth Street, NW
Washington, DC 20001 United States

Authors:

Lou, Xiaoming
Cheng, Lin
Ma, Jie
Zhou, Jing

Pagination:

20p

Publication Date:

2017

Conference:

Transportation Research Board 96th Annual Meeting

Location: Washington DC, United States
Date: 2017-1-8 to 2017-1-12
Sponsors: Transportation Research Board

Media Type:

Digital/other

Features:

Figures; References

Subject Areas:

Data and Information Technology; Highways; Planning and Forecasting

Source Data:

Transportation Research Board Annual Meeting 2017 Paper #17-03580

Files:

TRIS, TRB, ATRI

Created Date:

Dec 8 2016 11:22AM