Smart Driving Assistance System for Expressway Safety

Abstract

Vehicle to vehicle communication is an emerging advanced technology critical for enhancing road safety and sustainability on highways. By facilitating real-time data exchange between vehicles, it provides essential information about speed, location, and traffic conditions for the drivers, leading to collision prevention and improved traffic management. The aim of the work is to design and develop a smart driving assistance system that leverages wireless communication technology to track and analyze driving parameters on expressways. The product consists of two key subsystems, namely two smart devices i.e. housed in two distinct vehicles and Wi-Fi network to enable peer to peer real-time communication between two smart devices. A smart device is built with Raspberry pi platform, ultrasonic sensor, GPS sensor, accelerometer, Camera and a smart display to interact with the driver with necessary driving parameters such as safe distance from front vehicle, safety check on self overtake and warning on speed limit. The smart device features a voice assistant that delivers real-time commands and driving alerts to the driver. The results show that accidents can proactively be mitigated using the product solutions like maintaining a safe distance from front vehicle and maximum speed limit, checking on “safe to overtake” with image processing technique and exchanging message between two parties with web-socket protocol, with high accuracy.