Campus Units

Civil, Construction and Environmental Engineering

Document Type

Article

Publication Version

Accepted Manuscript

Publication Date

2-2015

Journal or Book Title

IEEE Transactions on Intelligent Transportation Systems

Volume

16

Issue

1

First Page

264

Last Page

273

DOI

10.1109/TITS.2014.2331561

Abstract

This paper presents a modeling approach to linking stochastic acceleration and lane-changing behavior to travel time reliability on congested freeways. Individual driving behavior is represented by a prospect-theory-based model that takes into account uncertainty and risk evaluation in terms of gains and losses while following a lead vehicle. Given a set of stimuli (i.e., headways, relative speeds, etc.), the stochastic acceleration model generates acceleration probability distribution functions rather than deterministic acceleration values. Such distribution functions may be associated with travel time reliability through the construction of travel time distributions. In addition, lane-changing decision is represented by a stochastic hazard-based duration model that accounts for the surrounding traffic conditions (i.e., traffic density, distance to ramp, etc.). Numerical results from Monte Carlo simulations demonstrate that the proposed microscopic stochastic modeling approach produces realistic macroscopic traffic flow patterns and can be used to generate travel time distributions. With proper experimental setup and sensitivity analysis, travel time distributions may be estimated and linked to safety-based parameters.

Research Focus Area

Transportation Engineering

Comments

This is a manuscript of an article published as Hamdar, Samer H., Alireza Talebpour, and Jing Dong. "Travel time reliability versus safety: A stochastic hazard-based modeling approach." IEEE Transactions on Intelligent Transportation Systems 16, no. 1 (2015): 264-273. DOI: 10.1109/TITS.2014.2331561. Posted with permission.

Rights

© 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

Copyright Owner

IEEE

Language

en

File Format

application/pdf

Published Version

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