Abstract
Road accidents claim over a million lives every year. Some of the causes of these accidents are poor visibility of roads, false estimation of nearby vehicles and delay of driver to hit the brake. The developed IoT-based system focuses on reduction of accidents by addressing these causes. It alerts the driver about the presence of humps and potholes on the road by detecting it in advance. The visual alerts are provided by various coloured LEDs and the audio alert is provided using voice communication. The system also measures distance between the host vehicle and the vehicle ahead to maintain a safe distance of 400 m and warns the driver if safe distance is not maintained. This feature also helps in avoiding collisions with other vehicles and unidentified objects. In the worst-case scenario, if an accident occurs, this system tracks the vehicle's geographical location and provides a message alert to the registered emergency contacts. The system is equipped with vehicle-to-vehicle communication for data transmission amongst vehicles using Li-Fi technology. The range of this V2V communication is up to 2–3 m. With this feature, the host vehicle can transmit information about emergency brake situations and presence of emergency service vehicles in the vicinity for clearing the driving path. Audio and visual mechanisms are employed for alerting the driver. The system is developed by incorporating ultrasonic sensors with Arduino for testing purposes. Every feature of the system is tested with real vehicles in simulated circumstances. The performance of the system is satisfactory in all test environments.
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Ramdasi, D., Bhoge, L., Jiby, B., Pembarti, H., Phadatare, S. (2023). IoT-Based Automotive Collision Avoidance and Safety System for Vehicles. In: Kumar, S., Sharma, H., Balachandran, K., Kim, J.H., Bansal, J.C. (eds) Third Congress on Intelligent Systems. CIS 2022. Lecture Notes in Networks and Systems, vol 613. Springer, Singapore. https://doi.org/10.1007/978-981-19-9379-4_48
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