Document Type

Conference Proceeding

Abstract

This paper presents the estimation of travel time on highways based on macroscopic modelling. The focus is on real-time values as compared to average or static values. The macroscopic models are used for distributed and time/space lumped settings and corresponding travel time estimation functions and algorithms are developed. The implications of these algorithms for the implementation of various incident management and traffic control strategies are also discussed.

Disciplines

Dynamic Systems | Systems and Communications | Theory and Algorithms | Transportation | Urban Studies and Planning

Permissions

©2001 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

Publisher Citation

Kachroo, Pushkin, Kaan Ozbay, and Antoine G. Hobeika. "Real-time travel time estimation using macroscopic traffic flow models." In Intelligent Transportation Systems, 2001. Proceedings. 2001 IEEE, pp. 132-137. IEEE, 2001.