Short-term prediction of motorway travel time using ANPR and loop data

Journal of Forecasting

Volumn 27, Issue 6, 2008, Pages 507-517

  Li, Yanying ^a  

^a UNIVERSITY OF SOUTHAMPTON   (United Kingdom)

Author keywords

Dynamic linear model (DLM); Short term forecasting; Traffic flow; Travel time

Indexed keywords

FORECASTING; IMAGE PROCESSING; INTELLIGENT SYSTEMS; INTELLIGENT VEHICLE HIGHWAY SYSTEMS; LAGRANGE MULTIPLIERS; LICENSE PLATES (AUTOMOBILE); STREET TRAFFIC CONTROL; VIDEO CAMERAS;

AUTOMATIC NUMBER PLATES RECOGNITION; CRITICAL COMPONENT; DYNAMIC LINEAR MODEL; INTELLIGENT TRANSPORTATION SYSTEMS; SHORT TERM PREDICTION; SHORT-TERM FORECASTING; TRAFFIC FLOW; TRANSPORTATION SYSTEM; TRAVEL-TIME;

TRAVEL TIME;

EID: 52649150876     PISSN: 02776693     EISSN: 1099131X     Source Type: Journal    
DOI: 10.1002/for.1070     Document Type: Article

References (11)

1. Al-Deek H, Ishak S, Wang M. 2001. A new short-term traffic prediction and incident detection system on 1-4. Research report, University of Central Florida, Orlando, FL.
2. Carey M, McCartney M. 2002. Behaviour of a whole-link travel time model used in dynamic traffic assignment. Transportation Research Part B 36: 83-95.
3. Chien SIJ, Kuchipudi CM. 2002. Dynamic freeway travel time prediction with real-time and historical data. In Proceedings of the Transportation Research Board 81st Annual Meeting, Washington, DC, 12-16 January.
4. Clark SD, Grant-Muller S, Chen H. 2002. Cleaning of matched license plate data. Transportation Research Record 1804: 1-7.
5. Ishak S, Al-Deek H. 2002. Performance evaluation of short-term time-series traffic prediction model. Journal of Transportation Engineering 128: 490-498.
6. Leutzbach W. 1979. Traffic control systems on motorways in the Federal Republic of Germany. In Proceedings of National Conference of the institution of Highway Engineers, London, 13-14 December.
7. Nanthawichit C, Nakatsuji T, Suzuki H. 2003. Application of probe vehicle data for real-time traffic state estimation and short-term travel time prediction on a freeway. In Proceedings of the Transportation Research Board 82st Annual Meeting, Washington, DC, 12-16 January.
8. Smith BL, Demetsky MJ. 1994. Short-term traffic flow prediction: neural network approach. Transportation Research Record 1453: 98-104.
9. Sun H, Liu HX, Xiao H, He RR, Ran B. 2003. Short term traffic forecasting using the local linear regression model. In Proceedings of the Transportation Research Board 82st Annual Meeting, Washington, DC, 12-16 January.
10. Vlahogianni EI, Golias JC, Karlaftis MG. 2004. Transport Reviews 24: 533-558.
11. West M, Harrison PJ. 1997. Bayesian Forecasting and Dynamic Models. Springer: New York.