Abstract
Wireless communication systems have now highly impact on our daily lives. The wireless communication technology has been helped billions of users in all over the world from indoor to outdoor cellular mobile networks. The generation of vehicular ad hoc network (VANET) is developing and gaining attention. There are many simulation software to allow the simulation of various media access control protocols and routing protocols. Apart from monolithic advantages in safety on the road, vehicular ad hoc network (VANET) is also proposed safety risks to the end users. Proposal of new safety concepts to retort these problems are challenging to verify due to highly dynamic real-world implementations of VANETs. To minimize problems, we have proposed VANET traffic simulation model for transportation safety. It is an event-driven simulation model, specially contrived to investigate application stage of safety entailments in vehicular communications. In VANET traffic simulation model, the message size has small and limited time value. The use of MAC protocols in VANET is to deliver the message at high reliability and low delay. In this paper, we have proposed a method in which RSU will be used for different path and measure the vehicle communication range. We have distributed RSU into clusters. In this paper, we have proposed the method which is based on safety measures and concept. We have evaluated the results of three maps on the basis of physical parameters such as current time, average travel time, average speed, average travel distance and throughput of each map. The throughput shows that in current time how much vehicle is active in every map. For safety purpose, we have presented the graph between the current times with respect to post-crash notification during simulation.
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Tomar, R.S., Sharma, M.S.P., Jha, S., Sharma, B. (2019). Vehicles Connectivity-Based Communication Systems for Road Transportation Safety. In: Ray, K., Sharma, T., Rawat, S., Saini, R., Bandyopadhyay, A. (eds) Soft Computing: Theories and Applications. Advances in Intelligent Systems and Computing, vol 742. Springer, Singapore. https://doi.org/10.1007/978-981-13-0589-4_45
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DOI: https://doi.org/10.1007/978-981-13-0589-4_45
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