Abstract
In this paper, the intelligent transportation systems application an accident alert system was considered as scope for research. The vehicle detection analysis in the ITS application of accident alert is one of the major tasks. As there are many accidents occurring in construction area along roadside, so there should be safety for workers on roadside. Road safety and workers safety are must; so to avoid the accident, the prototype was developed using Internet of things to evaluate the distance of vehicles crossing near and far from prone area. Flow rate of vehicles and vehicle count has some statistics so this paper gives an immense idea to statistical evaluate analyzed the vehicles using statistical Poisson’s, binomial and negative binomial methods.
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References
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Vadhwani, D., Thakor, D. (2021). Comparative Analysis of Statistical Methods for Vehicle Detection in the Application of ITS for Monitoring Traffic and Road Accidents Using IoT. In: Kotecha, K., Piuri, V., Shah, H., Patel, R. (eds) Data Science and Intelligent Applications. Lecture Notes on Data Engineering and Communications Technologies, vol 52. Springer, Singapore. https://doi.org/10.1007/978-981-15-4474-3_39
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DOI: https://doi.org/10.1007/978-981-15-4474-3_39
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