A Cluster Based Feasible Time Interval for TrackingLost or Stolen Vehicle

Abstract

The system for tracking and monitoring lost or stolen vehicle is challenging. This device is widely used to assess the vehicle's location using GPS technology. It can be used to track a vehicle or vehicle fleet and to obtain information about the vehicle'scurrent location. There are variouschallengesfor tracking andmonitoring vehicles andfinding lost vehicles duetothe lackofproperreal-timevehiclelocationandhence it is difficult to take necessary action in the immediate proper time after the vehicle has lost or stolen.In this paper a Cluster Based Feasible Time Interval for Vehicle Tracking (CFTVT) algorithm for measuring the minimum time interval for taking action after the vehicle has lost or stolen is proposed. This proposed model helps to imply any appropriate vehicle tracking algorithm in the exact proper time after the vehicle has been lost or stolen.