Tracking vehicles is becoming more essential in the present world of logistics market, as delay in delivery and pick-up of goods is costing more especially for startups. Keeping track of the vehicles help in managing resources in a more efficient way, and increasing profit. The tracking must be done in a more efficient way with less latency. This work proposes an online GPS vehicle tracking framework which tracks vehicles continuously. This work outputs vehicles status, position and also includes features like driver well-being by observing the level of vehicle control, weariness anticipation utilizing the EYE-BLINK and MEMS sensor. The proposed system stores the complete details about the travel of a vehicle like the route, distance travelled, driver control over the vehicle, and the cautions happened. This work will help in understanding the condition of the vehicle and the driver efficiency also. © 2018 IAEME Publication.