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Multi-sensor Tracking System: Towards More Intelligent Roads

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Part of the book series: Lecture Notes in Computer Science ((LNCCN,volume 10222))

Abstract

Road Safety is a major societal issue, and the EU Commission has adopted an ambitious programme, which sets out a mix of initiatives focussing on the improvement of vehicle and infrastructure safety and road user behaviour. The road conditions play a very important role in this target up to the extent that it is an indispensable information for infrastructure managers who alert road users about driving conditions. Nowadays, some static cameras installed on the main highway stretches detect events like fallen trees, obstacles on the road or traffic jams. In addition, meteorological condition information is given by weather stations. However, these resources have some limitations, they cannot cover the whole road network infrastructure and the information they provide is not very precise. A solution for this matter lies in the use of fleets as a multi-sensor tracking system in order to give a better service of real time traffic information. The purpose of this paper is to describe how this solution could be addressed in the framework of a project under development by Ceit and Gertek.

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Correspondence to Olatz Iparraguirre Gil or Alfonso Brazalez Guerra .

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Iparraguirre Gil, O., Nuñez Barrionuevo, B., Puerta Prieto, J., Matey Muñoz, L., Bores, I., Brazalez Guerra, A. (2017). Multi-sensor Tracking System: Towards More Intelligent Roads. In: Pirovano, A., et al. Communication Technologies for Vehicles. Nets4Cars/Nets4Trains/Nets4Aircraft 2017. Lecture Notes in Computer Science(), vol 10222. Springer, Cham. https://doi.org/10.1007/978-3-319-56880-5_12

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  • DOI: https://doi.org/10.1007/978-3-319-56880-5_12

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-56879-9

  • Online ISBN: 978-3-319-56880-5

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