FMS Dashboard - Descriptive Analytics and Preventive Maintenance

FMS Dashboard - Descriptive Analytics and Preventive Maintenance Department of Computer Science and Engineering, Vels Institute of Science, Technology and Advanced Studies (VISTAS). Monci Arulraj K. Kalaivani Department of Computer Science and Engineering, Vels Institute of Science, Technology and Advanced Studies (VISTAS). K. Ulagapriya Department of Computer Science and Engineering, Vels Institute of Science, Technology and Advanced Studies (VISTAS).

Fleet tracking or vehicle tracking allows businesses in a variety of industries to keep track of their vehicle fleet in a convenient and cost-effective manner. But with IOT devices connected to each vehicle, it produces huge amount of data, which is an overload to the users of Fleet Management System (FMS). This data itself is not valuable unless it can be analyzed and interpreted correctly. Quality data can help fleet owners to understand the efficiency, driver safety, expenses and profitability of owning and managing their fleet. In this proposed work, we developed a dashboard for the existing Fleet Management System which will provide descriptive analytics and support in preventive maintenance of the fleet. The FMS Dashboard is a key module of the FMS system. This module uses GPS data like vehicle starts, stops, and idling, fuel consumption, engine running hours, vehicle speeds and location from each vehicle to provide real-time useful insights on vehicle activity, driver behavior and tracking of fleet. Based on historic data, descriptive analytics will summarize past performance of the vehicle to enable users to plan for maintenance to perform. Also preventive maintenance reports helps the fleet owners to estimate, when the vehicle service is due and plan for the same. Apart from this, vehicle can be tracked real-time in Google Maps.
09 30 2019 5280 5284 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.C5918.098319 https://www.ijrte.org/portfolio-item/C5918098319/ https://www.ijrte.org/wp-content/uploads/papers/v8i3/C5918098319.pdf