Performance evaluation of an adaptive travel time prediction model

Bajwa, Shamas, Chung, Edward, & Kuwahara, Masao (2005) Performance evaluation of an adaptive travel time prediction model. In Smid, E (Ed.) Intelligent Transportation Systems, 2005. Proceedings. 2005 IEEE, IEEE, Austria, Vienna, pp. 1000-1005.

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This paper presents a travel time prediction model and evaluates its performance and transferability. Advanced Travelers Information Systems (ATIS) are gaining more and more importance, increasing the need for accurate, timely and useful information to the travelers. Travel time information quantifies the traffic condition in an easy to understand way for the users. The proposed travel time prediction model is based on an efficient use of nearest neighbor search. The model is calibrated for optimal performance using Genetic Algorithms. Results indicate better performance by using the proposed model than the presently used naïve model.

Impact and interest:

14 citations in Scopus
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ID Code: 37430
Item Type: Conference Paper
Refereed: Yes
Keywords: driver information systems, genetic algorithms, prediction theory, transportation
ISBN: 0-7803-9215-9
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: Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering
Deposited On: 04 Oct 2010 06:42
Last Modified: 29 Feb 2012 14:06

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