Document Type
Conference Proceeding
Publication Date
8-2001
Publication Title
4th International IEEE Conference on Intelligent Transportation Systems
Publisher
Institute of Electrical and Electronics Engineers
First page number:
132
Last page number:
137
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.
Keywords
Express highways; Travel time (Traffic engineering)
Disciplines
Dynamic Systems | Systems and Communications | Theory and Algorithms | Transportation | Urban Studies and Planning
Language
English
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.
Repository Citation
Kachroo, P.,
Ozbay, K.,
Hobeika, A. G.
(2001).
Real-time Travel Time Estimation Using Macroscopic Traffic Flow Models.
4th International IEEE Conference on Intelligent Transportation Systems
132-137.
Institute of Electrical and Electronics Engineers.
https://digitalscholarship.unlv.edu/ece_fac_articles/88
Included in
Dynamic Systems Commons, Systems and Communications Commons, Theory and Algorithms Commons, Transportation Commons, Urban Studies and Planning Commons