Benefits and issues of urban network travel time prediction

Bhaskar, Ashish, Chung, Edward, & Dumont, Andre-Gilles (2008) Benefits and issues of urban network travel time prediction. In 7th European Congress on Intelligent Transport Systems and Services, Geneva, Switzerland..

[img] Submitted Version (PDF 545kB)
Administrators only | Request a copy from author

View at publisher


This paper presents the benefits and issues related to travel time prediction on urban network. Travel time information quantifies congestion and is perhaps the most important network performance measure. Travel time prediction has been an active area of research for the last five decades. The activities related to ITS have increased the attention of researchers for better and accurate real-time prediction of travel time. Majority of the literature on travel time prediction is applicable to freeways where, under non-incident conditions, traffic flow is not affected by external factors such as traffic control signals and opposing traffic flows. On urban environment the problem is more complicated due to conflicting areas (intersections), mid-link sources and sinks etc. and needs to be addressed.

Impact and interest:

Citation counts are sourced monthly from Scopus and Web of Science® citation databases.

These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.

Citations counts from the Google Scholar™ indexing service can be viewed at the linked Google Scholar™ search.

ID Code: 49917
Item Type: Conference Paper
Refereed: Yes
Keywords: Urban Travel Time, ITS, Critical Review, Freeway Travel Time, Delay, Signalized Intersections
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Simulation and Modelling (080110)
Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > CIVIL ENGINEERING (090500) > Transport Engineering (090507)
Divisions: Current > Schools > School of Civil Engineering & Built Environment
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Deposited On: 30 Apr 2012 02:03
Last Modified: 02 May 2012 09:21

Export: EndNote | Dublin Core | BibTeX

Repository Staff Only: item control page