Real time vehicle speed prediction using a Neural Network Traffic Model

Proceedings of the International Joint Conference on Neural Networks

Volumn , Issue , 2011, Pages 2991-2996

  Park, Jungme ^a   Li, Dai ^a   Murphey, Yi L ^a   Kristinsson, Johannes ^b   McGee, Ryan ^b   Kuang, Ming ^b   Phillips, Tony ^b  

^a University of Michigan Dearborn   (United States)

^b FORD MOTOR COMPANY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CONTRIBUTING FACTOR; DYNAMIC TRAFFIC; NETWORK TRAFFIC; NETWORK TRAFFIC MODELS; REAL TIME; REAL TRAFFIC; SPEED PREDICTION; SPEED PROFILE; TRAFFIC DATA; TRAFFIC INFORMATION; TRAVEL TIME; VEHICLE OPERATIONS; VEHICLE SPEED;

ALGORITHMS; FORECASTING; NEURAL NETWORKS; REAL TIME SYSTEMS; SPEED;

STREET TRAFFIC CONTROL;

EID: 80054733293     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IJCNN.2011.6033614     Document Type: Conference Paper

References (22)

1. Q. Gong, Y. Li and Z.R. Peng, "Trip-Based Optimal Power Management of Plug-in Hybrid Electric Vehicles", IEEE Trans. Vehicular Technology, Vol. 57, No. 6, pp. 3393-3401, November 2008.
2. H. Dia, 'An object-oriented neural network approach to short-term traffic forecasting',European Journal of Operational Research 131(2), 253-261, 2001.
3. Georgia-Evangelia Katsargyri, Ilya V. Kolmanovsky and John Michelini, Optimally Controlling Hybrid Electric Vehicles using Path Forecasting, 2009 American Control Conference, Hyatt Regency Riverfront, St. Louis, MO, USA, June 10-12, 2009.
4. Luou Shen, "Freeway Travel Time Estimation and Prediction Using Dynamic Neural Networks," Ph. D. Thesis, Florida International University, 2008.
5. Tom Bellemans, Bart De Schutter, and Bart De Moor. Models for Traffic Control. Journal A, 43(3-4):13-22, 2002.
6. M. Lighthill, G. Whitham,"On kinematic waves II. A theory of traffic flow on long crowded roads." In: Proceedings of the Royal Society of, vol. 229A, pp. 317-345, 1955.
7. P. Richards, Shock waves on the highway. Operations Research 4, p42-51, 1956.
8. May A.D. Traffic Flow Fundamentals. Prentice-Hall, Englewood Cliffs, New Jersey, 1990.
9. H. Payne, "Models of freeway traffic and control." In: Mathematical Models of Public Systems,(G.A. Bekey, ed.), vol. 1, no. 1 of Simulation Council Proceedings Series, pp. 51-61, La Jolia, California, 1971.
10. A. Messmer and M. Papageorgiou, "METANET: A macroscopic simulation program for motorway networks," Traffic Eng. And Control, vol. 31, pp. 466-470, 1990.
11. D. Helbing, "Gas-kinetic derivation of Navier-Stokes-like traffic equations." In: Physical Review, vol. E53, no. 3, pp. 2266-2381, 1996.
12. I. Prigogine and F. C. Andrews, "A Boltzmann like approach for traffic flow," Operations Res. 8:789 (1960).
13. I. Prigogine and R. Herman, "Kinetic Theory of Vehicular Traffic," (Elsevier, 1971).
14. D. Helbing and M. Treiber, "Gas-kinetic-based traffic model explaining observed hysteretic phase transition," Phys. Rev. Lett. 81, 3042 (1998).
15. B. Williams, and L. Hoel, "Modeling and forescating vehicle traffic flow as a seasonal arima process: Theoretical basis and empirical results," Journal of Transportation Engineering, 129(6):664-672, 2003.
16. W. Lam, Y. Tang, K. Chan, M. Tam. "Short-term hourly traffic Forecasts using Hong Kong Annual Traffic Census.," Transportation 2006;33:291-310.
17. V. P. Sisiopiku, N. M. Rouphail, and A. Santiago, "Analysis of Correlation Between Arterial Travel Time and Detector Data From Simulation and Field Studies," Transportation Research Record 1457, pp. 166-173, 1994.
18. J. You, and T. Kim, "Empirical Analysis of a Travel-Time Forecasting Model," Geographical Analysis, vol. 39, pages 397-417, Oct. 2007.
19. M.G.Cho, Y.Yu, and S. Kim, "The System for Predicting the Traffic Flow with the Real-Time Traffic Information," Springer-Verlag, Lecture Note in Computer Science, Vol. 3980, 2006.
20. I. Okutani, and Y. Stephanedes, Y. J., Dynamic Prediction of Traffic Volume Through Kalman Filtering Theory, Transportation Research Part B, Vol. 18, pp 1-11, 1984.
21. E. Lee, J. Kim, W. Yoon, "Traffic Speed Prediction Under Weekday, Time, and Neighboring Links' Speed: Back Propagation Neural Network Approach," Lecture Notes in computer science, 2007, Vol. 4681.
22. H. Dia, 'An object-oriented neural network approach to short-term traffic forecasting', European Journal of Operational Research 131(2), 253-261, 2001.