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.
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
Similar content being viewed by others
Notes
- 1.
We only consider CPNs with weights 1 in the arcs.
- 2.
Notice that station13 and station15 have the same sensor station associated.
References
CPNTools HomePage, February 2017. http://www.cpntools.org/
Esper - Complex Event Processing, February 2017. http://www.espertech.com/esper/
Bekiaris, E., Nakanishi, J.: Economic Impacts of Intelligent Transportation Systems, vol. 8. Elsevier, Amsterdam (2004)
Čapkovič, F.: Petri net-based modelling and simulation of transport network segments. In: Król, D., Fay, D., Gabryś, B. (eds.) Propagation Phenomena in Real World Networks. ISRL, vol. 85, pp. 135–154. Springer, Cham (2015). doi:10.1007/978-3-319-15916-4_6
Cugola, G., Margara, A.: Processing flows of information: from data stream to complex event processing. ACM Comput. Surv. 44(3), 15:1–15:62 (2012)
EPA. Technical assistance document for the reporting of daily air quality - the Air Quality Index (AQI). Technical report EPA-454/B-16-002, U.S. Environmental Protection Agency, North Carolina, US, May 2016
Etzion, O., Niblett, P.: Event Processing in Action, 1st edn. Manning Publications Co., Greenwich (2010)
Grunder, O., Elmoudni, A., Abbas-Turki, A.: Public transportation systems: modeling and analysis, based on a new Petri net approach. In: Proceedings of the Second IEEE International Conference on Systems, Man and Cybernetics (SMC 2002) (2002)
Jensen, K., Kristensen, L.M.: Coloured Petri Nets: Modelling and Validation of Concurrent Systems, 1st edn. Springer Publishing Company, Heidelberg (2009)
Peterson, J.L.: Petri Net Theory and the Modeling of Systems. Prentice Hall PTR, Upper Saddle River (1981)
Picone, M., Busanelli, S., Amoretti, M., Zanichelli, F., Ferrari, G.: Advanced Technologies for Intelligent Transportation Systems. Springer Nature, Heidelberg (2015)
Riouali, Y., Benhlima, L., Bah, S.: Petri net extension for traffic road modelling. Int. J. Sci. Eng. Res. 7(11), 282–299 (2016)
World Health Organization (WHO). Health risk assessment of air pollution. general principles (2016)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer International Publishing AG
About this paper
Cite this paper
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
Download citation
DOI: https://doi.org/10.1007/978-3-319-59147-6_36
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-59146-9
Online ISBN: 978-3-319-59147-6
eBook Packages: Computer ScienceComputer Science (R0)