Title

Modeling The Benefits Of Advanced Traveler Information Systems In Corridors With Incidents

Abstract

This paper concerns the benefits from Advanced Traveler Information Systems (ATIS) in corridors under incident conditions. A deterministic queueing model is developed and applied to an idealized corridor composed of two routes. A user optimal strategy is implemented to disseminate real-time traffic information to vehicles equipped with ATIS as they approach the incident bottleneck. The sensitivity of route guidance benefits to relevant parameters such as the fraction of vehicles guided with ATIS is analyzed. The findings show that a few cases of queue evolution result when ATIS is used under incident conditions. Both the proportion of guided traffic and the incident duration play an important role in determining which case results. When an incident occurs, ATIS will divert all equipped vehicles to the alternate route until equilibrium is achieved. Equilibrium is achieved only if a sufficient number of guided vehicles comply with diversion instructions. Equilibrium is maintained by reducing the rate of diversion from one route to the other. The implication is that during equilibrium some guided travelers will be diverted to the alternate route, while others will remain on the route where the incident has occurred. It is found that the benefits to guided traffic decrease when the proportion of guided traffic exceeds a critical value that causes a queue on the alternate route. The system benefits also level off once the critical value is exceeded. Therefore, if the system management has the choice, there is no need to equip more than the critical fraction of vehicles with ATIS. There is a need to develop a methodology that can find practical estimates of the critical fraction for use in large-scale simulations of real-life networks. © 1993.

Publication Date

1-1-1993

Publication Title

Transportation Research Part C

Volume

1

Issue

4

Number of Pages

303-324

Document Type

Article

Identifier

scopus

Personal Identifier

scopus

DOI Link

https://doi.org/10.1016/0968-090X(93)90004-Y

Socpus ID

38248999082 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/38248999082

This document is currently not available here.

Share

COinS