Zonevo: Low-cost Collaborative Smartphone-based Urban Vehicle Collision Detection And Navigation System

Abstract

Urbanization Has Led To A Rapid Increase In Vehicle Density, Resulting In Frequent Road Congestion And Accidents. According To Global Traffic Studies, A Significant Percentage Of Urban Accidents Occur Due To Delayed Reaction Time, Blind Spots, And Lack Of Situational Awareness. Advanced Driver Assistance Systems (ADAS) Have Been Introduced To Reduce Accident Rates. These Systems Use Hardware Sensors Such As LiDAR And Radar To Detect Obstacles And Nearby Vehicles. Although Effective, These Systems Are Costly And Mostly Limited To High-end Vehicles. In Contrast, Smartphones Have Become Ubiquitous And Contain Advanced Sensing And Communication Capabilities. These Devices Can Continuously Monitor Location, Velocity, Orientation, And Motion Patterns. Leveraging These Built-in Sensors For Collaborative Vehicle Safety Presents An Affordable Alternative To Traditional Hardware-dependent Systems. The Primary Objective Of This Research Is To Design And Implement A Low-cost Smartphone-based Collaborative System That Enhances Urban Vehicle Safety Without Requiring Additional Hardware Installations.

Keywords