Title

A combined traveler behavior and system performance model with advanced traveler information systems

Abstract

The goal of this paper is to develop a framework for evaluating the effect of Advanced Traveler Information Systems. The framework uses a composite traffic assignment model which combines a probabilistic traveler behavoir model of route diversion and a quuing model to evaluate Advanced Traveler Information Systems impacts under incident conditions. The compositie assignment model considers three types of travelers: those who are unequipped with electronic devices, ie, they do not have Advanced Traveler Information Systems or radio in their vehicles; those who receive delay information from radio only; and those who access Advanced Traveler Information Systems only. The unequipped travelers are able to observe incident-induced congestion, if the congestion reaches or exceeds their decision point. The compositie model assigns travelers with Advanced Traveler Information Systems to the shortest travel time rouite. Travelers with radio information and those who can observe the congestion are assigned according to a behavioral model calibrated on revealed preference data. Travelers who are completely unaware of the incident-induced congestion are assigned to their usual route. The unique feature of the composite model, we consider the evolution of queues on a two link network with an incident bottleneck. The findings indicate that the overall system performance, measured by average travel time, improves marginally with increased market penetration of advanced Traveler Information Systems. However, the benefits of Advanced Traveler Information Systems under incident conditions are expected to be marginal when there is more 'information' available to travelers through their own observation or radio. Specifically, delay information received through radio and from observcation of incident-induced congestion induces people to divert earlier causing the network to operate closer to system optimal than user equilibriuml. This limits the potential benefits of Advanced Traveler Information Systems.

Publication Date

1-1-1998

Publication Title

Transportation Research Part A: Policy and Practice

Volume

32A

Issue

7

Number of Pages

479-493

Document Type

Article

Personal Identifier

scopus

DOI Link

https://doi.org/10.1016/S0965-8564(98)00010-X

Socpus ID

0031597049 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/0031597049

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