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Fig. 7. Trac density along time in test 2, after applying the system under consider-
ation
7
Conclusions
A system that detects trac congestions and suggests actions to mitigate them
was presented. The system is based on events processing at different levels of
abstraction, by means of CEP and ESP engines. In this architecture the events
flow through the networks, saving costly storage of large amounts of data. After
event processing, the system implementation in the trac center may launch
actions to influence the trac conditions through informative panels or directly
to the vehicles subscribed to the system. Simulations with thousands of vehicles
show the benefits of this method in terms of reduction of trac congestions on
highway scenarios.
Acknowledgements
This research investigation has been carried out in the group of Intelligent
Systems and Telematics of the University of Murcia with the support of the
Spanish Ministry of Science and Innovation under the project SEISCIENTOS
(TIN2008-06441-C02) and the Foundation Euromediterranean Institute of Wa-
ter under the grant “Modelacion hidrologica en zonas semiaridas” in the frame
of Plan de Ciencia y Tecnolog ıa de la Regio de Murcia 2007-2010.
References
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3. Pawlowski, O., Dunkel, J., Bruns, R., Ossowski, S.: Applying Event Stream Pro-
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