Benefits and issues of urban network travel time prediction
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Description
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:
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ID Code: | 49917 | ||
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Item Type: | Chapter in Book, Report or Conference volume (Conference contribution) | ||
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Measurements or Duration: | 10 pages | ||
Keywords: | Critical Review, Delay, Freeway Travel Time, ITS, Signalized Intersections, Urban Travel Time | ||
Pure ID: | 33578599 | ||
Divisions: | Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering Past > Schools > School of Urban Development |
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Copyright Owner: | Consult author(s) regarding copyright matters | ||
Copyright Statement: | This work is covered by copyright. Unless the document is being made available under a Creative Commons Licence, you must assume that re-use is limited to personal use and that permission from the copyright owner must be obtained for all other uses. If the document is available under a Creative Commons License (or other specified license) then refer to the Licence for details of permitted re-use. It is a condition of access that users recognise and abide by the legal requirements associated with these rights. If you believe that this work infringes copyright please provide details by email to qut.copyright@qut.edu.au | ||
Deposited On: | 30 Apr 2012 02:03 | ||
Last Modified: | 12 Mar 2024 21:49 |
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