Abstract
The statistics of road accidents due to over-speeding are alarming. Therefore, there is a need for a robust system that will recommend a real-time safe speed limit to a vehicle driver. This paper proposes a feasible solution in the form of a hardware module that works on the principle of edge computing. The module estimates an ideal speed limit considering factors such as nearby vehicles, pedestrians and traffic signs as parameters. The speed is estimated on the basis of the distance between the vehicle and other vehicles/pedestrians and also on the basis of speed limit traffic signs. The estimated speed limit will then be notified to the vehicle driver. This will help in reducing the fatalities caused by over-speeding.
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Bhope, A. et al. (2022). Predicting Appropriate Speed for Driving Based on External Factors. In: Tuba, M., Akashe, S., Joshi, A. (eds) ICT Systems and Sustainability. Lecture Notes in Networks and Systems, vol 321. Springer, Singapore. https://doi.org/10.1007/978-981-16-5987-4_77
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DOI: https://doi.org/10.1007/978-981-16-5987-4_77
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