IoT Based Driving Risk Assessment and Warning System

Aithal, Alaka and Singh, Sanjay (2018) IoT Based Driving Risk Assessment and Warning System. In: International Conference on Smart Systems and Inventive Technology, 13/12/2018, Francis Xavier Engineering College,Tirunelveli,Chennai.

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Drivers of vehicles encounter various risks both external and internal during their course of operation of a vehicle on the road. One such risk is the proximity of vehicle with respect to another vehicle or an obstacle. This IoT based project examines a solution which directs/assists the driver to maintain a specified safe distance between vehicles on roads to and avoid unsafe conditions leading to accidents. In the event of lack of attention on behalf of the driver or temporary distraction, the system is designed to alert him to the required focus on the road. The project will attempt to examine the possible risk factors both qualitatively and quantitatively in order to incorporate databased features into the system. Evaluation of the risk factors will be done through the study of published causes of road accidents in India. The results shall be in the form of a sensor graph which can be used to design the system and offer a standalone solution. The sensor data in the form of sensor graph can be served as the primary measure to take better decisions for secure and safe transportation. The system has the potential to improve the overall road safety, improve drivers standards by revising training, be used as a monitoring tool, analysis of accidents etc. using graphical representation, trend analysis etc., with the use of trend analysis the roads could be categorized as roads for safe transport or roads that are dangerous. It can also be used as a tool to identify dangerous roads

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: IoT, Driving Risk Assessment
Subjects: Engineering > MIT Manipal > Information and Communication Technology
Depositing User: MIT Library
Date Deposited: 04 Jan 2019 10:02
Last Modified: 04 Jan 2019 10:02

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