IoT Based V2I Framework For Accident Prevention

The volcanic growth of the population directly influences the density of vehicles on the road. The rapid growth of vehicles is the primary cause of traffic congestion, pollution, and life-loss through accidents. This paper has presented an IoT-based vehicle to infrastructure (V2I) model for better p...

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Bibliographic Details
Main Authors: Mohapatra, Hitesh, Dalai, Asish Kumar
Format: Conference Proceeding
Language:English
Subjects:
Accident avoidance
Internet of Things
Predictive models
Roads
Signal processing
Simulation
Smart Road
Sociology
Statistics
Vehicle to infrastructure
Wireless Sensor Network
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Summary:The volcanic growth of the population directly influences the density of vehicles on the road. The rapid growth of vehicles is the primary cause of traffic congestion, pollution, and life-loss through accidents. This paper has presented an IoT-based vehicle to infrastructure (V2I) model for better predictability about road behaviors. This V2I model helps to avoid accidents or collisions at cross-sections of the road. The implementation part of the proposed model has considered the speed of the vehicle and creates an advanced alert mechanism based on the speed. The implementation and validation of the proposed model have been done through the RMATLAB17 simulator. The simulation results are satisfactory and achieve 82.14% of accuracy in generating an alert signal for proper decision-making by the drivers.
ISSN:2640-5768
DOI:10.1109/AISP53593.2022.9760623