Drive Right: Driving Simulation To Alert The Driver Using Artificial Intelligence For Prudential Driving Behaviour

A Sulaiman, Noor Anisah (2019) Drive Right: Driving Simulation To Alert The Driver Using Artificial Intelligence For Prudential Driving Behaviour. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

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Abstract

An investigation is conducted in this report to identify and analyze driver behavior on the road. A more in-depth investigation is carried out to identify how to implement Artificial Intelligence as a solution to resolve or avoid collisions induced by drivers ' prudential actions on the road. The bad behavioral was recreated by this driver simulator. Three scenarios were chosen from NHTSA's pre-crash scenarios and observe the performance and effects after all these scenarios be simulated. The neural network functions acts as a scenario classifier. TensorFlow's feature, which is object detection model API. A prototype unit created to recognize pre-crash scenarios and warn the driver to avoid them. TensorFlow models for the implementation of the scenarios to be received training. The model will help drivers to be alert and safely ride on the road. Different models will be used to detect objects design output can be evaluated on the road with driver. The performance of each model and the final prototype can be concluded from the test results.

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