Abstract
Pollution due to road traffic in big cities is an important problem in our society, with consequences for human health. In this paper we deal with this problem, proposing an Intelligent Transportation System (ITS) model based on Complex Event Processes (CEP) technologies and Petri nets that takes into account the levels of environmental pollution according to the air quality levels accepted by the international recommendations. Thus, we are tackling a rather common problem in big cities nowadays, where traffic restrictions must be applied due the pollution. Petri nets are then used in this paper as a tool to make decisions about traffic regulations, so as to reduce pollution levels.
This work was supported in part by the Spanish Ministry of Science and Innovation and the European Union FEDER Funds under Grant TIN2015-65845-C3-2-R.
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Notes
- 1.
We only consider CPNs with weights 1 in the arcs.
- 2.
Notice that station13 and station15 have the same sensor station associated.
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Díaz, G., Macià, H., Valero, V., Cuartero, F. (2017). Intelligent Transportation System to Control Air Pollution in Cities Using Complex Event Processing and Colored Petri Nets. In: Rojas, I., Joya, G., Catala, A. (eds) Advances in Computational Intelligence. IWANN 2017. Lecture Notes in Computer Science(), vol 10306. Springer, Cham. https://doi.org/10.1007/978-3-319-59147-6_36
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DOI: https://doi.org/10.1007/978-3-319-59147-6_36
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