Internet of Things: Vehicle collision detection and avoidance in a VANET environment

In robotics, manufacturing and computer-simulation; accurate and fast collision detection between general geometric models is a fundamental problem. The elucidation of this problem will gravely improve driver safety and traffic efficiency. This paper develops a system for vehicle communication that addresses this problem. Vehicular Ad-Hoc Network (VANET) technology is utilized to create a distributed network allowing the exchange between automobiles on a large scale for the implementation of Vehicle-to-Vehicle (V2V), or Vehicle-to-Infrastructure (V2I) communication protocols. The goal of the research is to create a VANET environment and algorithm for collision detection. Collision avoidance emanates from the detection algorithm. A computer model involves running a simulation through a network simulation (NS3). To better understand the behavior of communicating vehicles and infrastructures, nodal representation of the road system will be generated to mimic real road topography. The physical experiment involves constructing a VANET implemented with microcontrollers, sensor systems and radio controlled cars. Integrating all these will generate a collision detecting system which helps improve traffic efficiency on a minute scale. This physical model was executed using an Arduino UNO, RGB LCD Shield, GPS Logger Shield, SR04 Ping Distance Sensor, RF 433 MHz Transmitter Module, RF 433 MHz Receiver Module and a DC motor (from the Car).