Dynamic Travel Time Prediction with Real-Time and Historic Data
Author:
Affiliation:
1. Associate Professor, Dept. of Civil and Environmental Engineering, New Jersey Institute of Technology, Newark, NJ 07102.
2. Programmer, TIDE Center, New Jersey Institute of Technology, Newark, NJ 07102.
Publisher
American Society of Civil Engineers (ASCE)
Subject
Transportation,Civil and Structural Engineering
Link
http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%290733-947X%282003%29129%3A6%28608%29
Reference12 articles.
1. Al-Deek H. D’Angelo M. and Wang M. (1998). “Travel time prediction with non-linear time series.” Proc. ASCE 1998 5th Int. Conf. on Applications of Advanced Technologies in Transportation Newport Beach Calif. pp. 317–324.
2. Anderson J. Bell M. Sayers T. Busch F. and Heymann G. (1994). “The short term prediction of link travel time in signal controlled road networks.” Proc. IFAC/IFORS 7th Symp. on Transportation Systems: Theory and Application of Advanced Technology Tianjin China pp. 621–626.
3. Chien S. and Chen M. (2001a). “Determining the number of probe vehicles for freeway travel time estimation using microscopic simulation.” Transportation Research Record 1719 Transportation Research Board Washington D.C. pp. 61–68.
4. Chien S. and Chen M. (2001b). “Dynamic freeway travel time prediction using probe vehicle data: Link-based vs. path-based.” Transportation Research Record 1768 Transportation Research Board Washington D.C. pp. 157–161.
5. D’Angelo M. Al-Deek H. and Wang M. (1999). “Travel time predic-tion for freeway corridors.” Presented at the 78th TRB Annual Meeting (CD-ROM) Washington D.C.
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