Ad hoc link traversal time prediction

IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC

Volumn , Issue , 2011, Pages 1803-1808

  Claes, Rutger ^a   Holvoet, Tom ^a  

^a UNIVERSITY OF LEUVEN   (Belgium)

Author keywords

[No Author keywords available]

Indexed keywords

AD-HOC LINKS; ARTIFICIAL NEURAL NETWORK; LINK TRAVERSAL; MICROSCOPIC TRAFFIC SIMULATION; POLYNOMIAL MODELS; REAL TIME; ROUTING DECISIONS; VEHICLE AGENTS;

COMPUTER SIMULATION; FORECASTING; INTELLIGENT SYSTEMS; MULTI AGENT SYSTEMS; NEURAL NETWORKS; ROADS AND STREETS; TRANSPORTATION ROUTES; VEHICLES;

INTELLIGENT AGENTS;

EID: 83755196489     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ITSC.2011.6082970     Document Type: Conference Paper

References (13)

1. K. Wunderlich, D. Kaufman, and R. Smith, "Link travel time prediction for decentralized route guidance architectures," IEEE Transactions on Intelligent Transportation Systems, vol. 1, no. 1, pp. 4-14, 2000.
2. J. Wahle, A. L. C. Bazzan, F. Klügl, and M. Schreckenberg, "Decision dynamics in a traffic scenario," Physica A: Statistical Mechanics and its Applications, vol. 287, no. 3-4, pp. 669-681, 2000.
3. R. Claes and T. Holvoet, "Maintaining a distributed symbiotic relationship using delegate multiagent system," in Proceedings of the 2010 Winter Simulation Conference, B. Johansson, S. Jain, J. Montoya-Torres, J. Hugan, and E. Yücesan, Eds., 2010.
4. R. Yasdi, "Prediction of road traffic using a neural network approach," Neural Computing amp; Applications, vol. 8, pp. 135-142, 1999, 10.1007/s005210050015. [Online]. Available: http://dx.doi.org/10.1007/ s005210050015
5. R. Claes, T. Holvoet, and D. Weyns, "A decentralized approach for anticipatory vehicle routing using delegate multi-agent systems,"2011, accepted for publication in IEEE Transactions on Intelligent Transportation Systems.
6. [Online]. Available: http://commons.apache.org/math/
7. [Online]. Available: http://neuroph.sourceforge.net/
8. W. Lee, S. Tseng, and W. Shieh, "Collaborative real-time traffic information generation and sharing framework for the intelligent transportation system," Information Sciences, vol. 180, no. 1, pp. 62-70, 2010.
9. E. Horvitz, J. Apacible, R. Sarin, and L. Liao, "Prediction, expectation, and surprise: Methods, designs, and study of a deployed traffic forecasting service," in Twenty-First Conference on Uncertainty in Artificial Intelligence. Citeseer, 2005.
10. M. M. Haklay and P. Weber, "OpenStreetMap: User-Generated street maps," IEEE Pervasive Computing, vol. 7, no. 4, pp. 12-18, 2008.
11. R. Claes and T. Holvoet, "Gridlock: a microscopic traffic simulation platform," in 2nd International Conference on Models and Technologies for ITS, 2011.
12. M. Treiber, A. Hennecke, and D. Helbing, "Congested traffic states in empirical observations and microscopic simulations," Phys. Rev. E, vol. 62, no. 2, pp. 1805-1824, Aug 2000.
13. A. Kesting, M. Treiber, and D. Helbing, "General lane-changing model mobil for car-following models," Transportation Research Record: Journal of the Transportation Research Board, vol. 1999, no. -1, pp. 86-94, 01 2007. [Online]. Available: http://dx.doi.org/10.3141/1999-10