Predicting Motorway Traffic Performance by Data Fusion of Local Sensor Data and Electronic Toll Collection Data

Computer-Aided Civil and Infrastructure Engineering

Volumn 26, Issue 6, 2011, Pages 451-463

  Heilmann, B ^a   El Faouzi, N E ^b   de Mouzon, O ^b   Hainitz, N ^c   Koller, H ^c   Bauer, D ^c   Antoniou, C ^d  

^a AIT AUSTRIAN INSTITUTE OF TECHNOLOGY   (Austria)

^b UNIVERSITÉ DE LYON   (France)

^c Institute of Medical Technology   (Greece)

^d NATIONAL TECHNICAL UNIVERSITY OF ATHENS   (Greece)

Author keywords

[No Author keywords available]

Indexed keywords

AUSTRIA; COMPUTATIONAL PERFORMANCE; CORRELATION ANALYSIS; ELECTRONIC TOLL COLLECTION; ELECTRONIC TOLL COLLECTION SYSTEMS; FREE FLOW; HEAVY GOODS VEHICLES; HISTORICAL DATABASE; LINEAR KALMAN FILTERS; LOCAL SENSORS; MACROSCOPIC MODEL; MEMORY LENGTH; NON-PARAMETRIC; PREDICTION ACCURACY; PREDICTION HORIZON; PREDICTION METHODS; SPEED-DENSITY; STATE-SPACE MODELS; TIME INTERVAL; TRAFFIC MANAGEMENT CENTERS; TRAFFIC PERFORMANCE; TRAFFIC STATE; TRANSITION STATE;

AUTOMOBILES; FORECASTING; HIGHWAY TRAFFIC CONTROL; INFORMATION FUSION; PATTERN RECOGNITION; TOLL COLLECTION; TOLL HIGHWAYS;

SENSOR DATA FUSION;

CORRELATION; DATABASE; KALMAN FILTER; MOTORWAY; PREDICTION; TRAFFIC MANAGEMENT;

AUSTRIA;

GB VIRUS C;

EID: 79958703822     PISSN: 10939687     EISSN: 14678667     Source Type: Journal    
DOI: 10.1111/j.1467-8667.2010.00696.x     Document Type: Article

References (25)

1. Antoniou, C., Ben-Akiva, M. & Koutsopoulos, H. N. (2006a), Dynamic traffic demand prediction using conventional and emerging data sources, IEEE Proceedings Intelligent Transport Systems, 153(1), 97-104.
2. Antoniou, C., Nowotny, B., Rechbauer, A. & Linauer, M. (2006b), Calibration of DTA models using floating car data: an application of DynaMIT in Vienna, in Proceedings of the 2nd International Symposium in Transportation Simulation, EFPL Lausanne, September 4.
3. Bajwa, S., Chung, E. & Kuwahara, M. (2005), Performance evaluation of an adaptive travel time prediction model, IEEE Conference on ITS, Vienna, 2005.
4. Ben Aissa, A., Sau, J., El Faouzi, N.-E. & de Mouzon, O. (2006), Sequential Monte Carlo traffic estimation for intelligent transportation system: motorway travel time prediction application, in Proceedings of the 2nd ISTS. Lausanne, September.
5. Bliemer, M. C. J. & Bovy, P. H. L. (2000), Multi-user class speed-density functions for use in dynamic traffic assignment, in Estimators of Travel Time for Road Networks, Delft University Press, 2000, 131-54.
6. Castillo, E., Conejo, A. J., Menéndez, J. M. & Jiménez, P. (2008), The observability problem in traffic network models, Computer-Aided Civil and Infrastructure Engineering, 23(3), 208-22.
7. Castillo, E., Conejo, A. J., Pruneda, R. E. & Solares, C. (2006), Observability analysis in state estimation: a unified numerical approach, IEEE Transaction on Power Systems, 21(2), May 2006.
8. Cremer, M. & Schrieber, S. (1996), Monitoring traffic load profiles with heterogeneous data source configurations, in 13th International Symposium on Transportation and Traffic Theory (ISTTT), Lyon, France, 21-40.
9. Cremer, M. & Schütt, H. (1990), A comprehensive concept for simultaneous state observation, parameter estimation and incident detection, in Proceedings of the11th Internatonal Symposium Transportation and Traffic Theory, Yokohama, 95-111.
10. de Mouzon, O., El Faouzi, N.-E., Nowotny, B., Morin, J.-M. & Chung, E. (2006), Data fusion for traffic and safety indicators: the intelligent roads perspectives, in Proceedings of the 13th World Congress on Intelligent Transport Systems, October 8, London
11. El-Faouzi, N. E. (1996), Non-parametric traffic flow prediction using Kernel estimator, 13th International Symposium on Transportation and Traffic Theory (ISTTT), Lyon, France, 41-54.
12. Hainitz, N., Nowotny, B., Toplak, W., El Faouzi, N.-E. & Schneider, M. (2008), Predicting motorway network performance with historical density-speed patterns, in Lakeside Conference Safety in Mobility, Klagenfurt, Austria
13. Higgins, N., List, G. & Eisenman, S. (2003), Uncertainty analysis for two freeway sites, Transportation Research Record, 1852(1), 87-95.
14. Jiang, X. & Adeli, H. (2004), Wavelet packet-autocorrelation function method for traffic flow pattern analysis, Computer-Aided Civil and Infrastructure Engineering, 19(6), 324-37.
15. Luttinen, R. (2002), Uncertainty in operational analysis of two-lane highways, Transportation Research Record, 1802(1), 105-14.
16. Mehra, R. (1970), Approaches to adaptive filtering, IEEE Transaction on Automatic Control, 17, 693-98.
17. Myers, K. L. & Tapley, B. D. (1976), Adaptive sequential estimation with unknown noise statistics, IEEE Transaction on Automatic Control, 21, 520-23.
18. Nam, D. H. & Drew, D. R. (1999), Automatic measurement of traffic variables for intelligent transportation systems applications, Transportation Research Part B, 33(1999), 437-57.
19. Patterson, D., Liao, L., Fox, D. & Kautz, H. (2003), Inferring high-level behavior from low-level sensors, in UBICOMP 2003: The Fifth International Conference on Ubiquitous Computing (October 12-15, 2003), Washington
20. Sau, J., El Faouzi, N.-E. & de Mouzon, O. (2008), Particle-filter traffic state estimation and sequential test for real-time traffic sensor diagnosis, in Proceedings of the 3rd International Symposium of Transport Simulation (ISTS 08), Gold Coast, Australia, August 6.
21. Schneider, M., Linauer, M. & Hainitz, N. (2007), Traveller information service based on real-time toll data in Austria, in Proceedings of the 13th World Congress on Intelligent Transport Systems, Peking
22. Stathopoulos, A., Dimitriou, L. & Tsekeris, T. (2008), Fuzzy modeling approach for combined forecasting of urban traffic flow, Computer-Aided Civil and Infrastructure Engineering, 23(7), 521-35.
23. van Lint, J. W. C., Hoogendoorn, S. P. & van Zuylen, H. J. (2005), Accurate freeway travel time prediction with state-space neural networks under missing data, Transportation Research C, 13(5-6), 347-69.
24. van Nes, R., Marchau, V., van Wee, G. P. & Hansen, I. A. (2007), Reliability and robustness of multimodal transport network analysis and planning: towards a new research agenda, in H. Van Zyulen (ed.), Proceedings of the INSTR 2007, Den Haag, The Netherlands
25. Xie, Y. C., Zhang, Y. L. & Ye, Z. R. (2007), Short-term traffic volume forecasting using Kalman filter with discrete wavelet decomposition, Computer-Aided Civil and Infrastructure Engineering, 22(5), 326-34.