An Agent-Based Approach to Assess Drivers' Interaction with Pre-Trip Information Systems

• Type: Article in International Scientific Journal
• Date: 2005

Authors

Rosaldo J. F. Rossetti (Author) Other; Liu, R (Author) Other

Journal

Title: Journal of Intelligent Transportation Systems

Vol. 9

Pages: 1-10

ISSN: 1547-2450

Publisher: Taylor & Francis

Indexing

Scopus - 18 Citations

Other information

Authenticus ID: P-007-DM3

DOI: 10.1080/15472450590912529

Abstract (EN): This article reports on the practical use of a multi'agent microsimulation framework to address the issue of assessing drivers' responses to pretrip information systems. The population of drivers is represented as a community of autonomous agents, and travel demand results from the decision-making deliberation performed by each individual of the population as regards route and departure time. A simple simulation scenario was devised, where pretrip information was made available to users on an individual basis so that its effects at the aggregate level could be observed. The simulation results show that the overall performance of the system is very likely affected by exogenous information, and these results are ascribed to demand formation and network topology. The expressiveness offered by cognitive approaches based on predicate logics, such as the one used in this research, appears to be a promising approximation to fostering more complex behavior modelling, allowing us to represent many of the mental aspects involved in the deliberation process. Copyright © Taylor and Francis Inc.

Language: English

Type (Professor's evaluation): Scientific