Abstract
In the present paper, a crash avoiding at cross roads warning scheme laid on car-to-infrastructure messaging using realistic vehicular dataset is proposed. This meant to avoid collision between the vehicles at intersection and, thus, enhance safety at cross roads. The aim of this paper is to develop an advanced collision avoidance model for connected vehicles which integrates network-level and vehicle-level collision risk. We study the performance of the proposed protocol with an aim to understand the factors that affect successful collision avoidance schemes for cross roads. Through this study, we identified the communication distance as an important factor that influences both the network-level and application-level traffic.
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Pasha, M., Farooq, M.U., Yasmeen, T., Khan, K.U.R. (2020). Vehicular Collision Avoidance at Intersection Using V2I Communications for Road Safety. In: Saini, H., Sayal, R., Buyya, R., Aliseri, G. (eds) Innovations in Computer Science and Engineering. Lecture Notes in Networks and Systems, vol 103. Springer, Singapore. https://doi.org/10.1007/978-981-15-2043-3_4
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DOI: https://doi.org/10.1007/978-981-15-2043-3_4
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