Fleet Automation Using IoT Logistics
R. Mahalakshmi Priya, M. Vasumathi, K. Sathish Kumar, Meyyazhagan Arun, S. Kumar
Abstract
R. Mahalakshmi Priya, M. Vasumathi, K. Sathish Kumar, Meyyazhagan Arun, S. Kumar
Abstract
Resource Management play a vital role in daily life of fleet management. Particular some of the resources like fuel, driver behavior, theft maintenance, etc. are must be managed to avoid financial defeat. Fleet (Trucks or heavy Vehicle) Resource Management Systems can expose the average mileage and speed for a particular based on fuel. The IoT logistics that equipped GPS to track the fuel usage, driver’s behavior, sroutes, speed, temperature, etc for the fleet management. Location shared via GPS to the user interface can help truckers to find around the current areas. This work focuses on the key objective of the transportation management with minimum human resource so the management of the fleet with the development of IoT is employed in this work for the automatic fleet resource management, find driver behavior, health status of the vehicle.
OpenAlex reports 3 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
Resource Management play a vital role in daily life of fleet management. Particular some of the resources like fuel, driver behavior, theft maintenance, etc. are must be managed to avoid financial defeat. Fleet (Trucks or heavy Vehicle) Resource Management Systems can expose the average mileage and speed for a particular based on fuel. The IoT logistics that equipped GPS to track the fuel usage, driver’s behavior, sroutes, speed, temperature, etc for the fleet management. Location shared via GPS to the user interface can help truckers to find around the current areas. This work focuses on the key objective of the transportation management with minimum human resource so the management of the fleet with the development of IoT is employed in this work for the automatic fleet resource management, find driver behavior, health status of the vehicle.
Key concepts: Fleet management, Truck, Global Positioning System, Work (physics), Automation, Resource (disambiguation), Track (disk drive), Transport engineering