Abstract
Dynamic Origin/Destination matrices are one of the most important parameters for efficient and effective transportation system management. These matrices describe the vehicle flow between different points within a region of interest for a given period of time. Usually, dynamic O/D matrices are estimated from traffic counts provided by induction loop detectors, home interview and/or license plate surveys. Unfortunately, estimation methods take O/D flows as time invariant for a certain number of intervals of time, which cannot be suitable for some traffic applications. However, the advent of information and communication technologies (e.g., vehicle-to-infrastructure dedicated short range communications –V2I) to the transportation system domain has opened new data sources for computing O/D matrices. Taking the advantages of this technology, we propose in this paper a multi-agent system that computes the instantaneous O/D matrix of any road network equipped with V2I technology for every time period and any day in real-time. The implementation was carried out using JADE platform.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Car-to-car communication consortium, http://www.car-to-car.org/
Jade: Java agent development framework, http://jade.tilab.com/
Ntp: Network time protocol, http://www.ntp.org/
Highway capacity manual (2010)
Balaji, P., Srinivasan, D.: Multi-agent system in urban traffic signal control. IEEE Computational Intelligence Magazine 5(4), 43–51 (2010)
Barbucha, D., Jędrzejowicz, P.: Agent-Based Approach to the Dynamic Vehicle Routing Problem. In: Demazeau, Y., Pavón, J., Corchado, J.M., Bajo, J. (eds.) 7th International Conference on Practical Applications of Agents and Multi-Agent Systems (PAAMS 2009). AISC, vol. 55, pp. 169–178. Springer, Heidelberg (2009)
Barceló, J., Montero, L., Marqués, L., Carmona, C.: Travel time forecasting and dynamic origin-destination estimation for freeways based on bluetooth traffic monitoring. Transportation Research Record: Journal of the Transportation Research Board 2175, 19–27 (2010)
Behrisch, M., Bieker, L., Erdmann, J., Krajzewicz, D.: Sumo - simulation of urban mobility: An overview. In: SIMUL 2011, The Third International Conference on Advances in System Simulation, Barcelona, Spain, pp. 63–68 (2011)
Bhouri, N., Balbo, F., Pinson, S.: Towards Urban Traffic Regulation Using a Multi-agent System. In: Demazeau, Y., Pechoucek, M., Corchado, J., Prez, J. (eds.) Advances on Practical Applications of Agents and Multiagent Systems. AISC, vol. 88, pp. 179–188. Springer, Heidelberg (2011)
Durfee, E.H.: Distributed Problem Solving and Planning. In: Luck, M., Mařík, V., Štěpánková, O., Trappl, R. (eds.) ACAI 2001 and EASSS 2001. LNCS (LNAI), vol. 2086, pp. 118–149. Springer, Heidelberg (2001)
Hu, S.R., Madanat, S.M., Krogmeier, J.V., Peeta, S.: Estimation of dynamic assignment matrices and od demands using adaptive kalman filtering. ITS Journal - Intelligent Transportation Systems Journal 6(3), 281–300 (2001), doi:10.1080/10248070108903696
Jian, S., Yu, F.: A Novel OD Estimation Method Based on Automatic Vehicle Identification Data. In: Chen, R. (ed.) ICICIS 2011 Part II. CCIS, vol. 135, pp. 461–470. Springer, Heidelberg (2011)
Kutz, M. (ed.): Handbook of Transportation Engineering, vol. II. McGraw-Hill (2011)
Kwon, J., Varaiya, P.: Real-time estimation of origin-destination matrices with partial trajectories from electronic toll collection tag data. Transportation Research Record: Journal of the Transportation Research Board 1923, 119–126 (2005)
Lin, P.W., Chang, G.L.: A generalized model and solution algorithm for estimation of the dynamic freeway origin destination matrix. Transportation Research Part B: Methodological 41(5), 554–572 (2007)
Sherali, H.D., Park, T.: Estimation of dynamic origin-destination trip tables for a general network. Transportation Research Part B: Methodological 35(3), 217–235 (2001)
Zeddini, B., Yassine, A., Temani, M., Ghedira, K.: An agent-oriented approach for the dynamic vehicle routing problem. In: International Workshop on Advanced Information Systems for Enterprises, IWAISE 2008, pp. 70–76 (2008)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Tornero, R., Martínez, J., Castelló, J. (2012). Computing Real-Time Dynamic Origin/Destination Matrices from Vehicle-to-Infrastructure Messages Using a Multi-Agent System. In: Pérez, J., et al. Highlights on Practical Applications of Agents and Multi-Agent Systems. Advances in Intelligent and Soft Computing, vol 156. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28762-6_18
Download citation
DOI: https://doi.org/10.1007/978-3-642-28762-6_18
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-28761-9
Online ISBN: 978-3-642-28762-6
eBook Packages: EngineeringEngineering (R0)