What Fleet Management means?Posted by Maurer Medlin on April 21st, 2021 The development of self-driving trucks and other new technologies like robotic vehicles is transforming the way we manage fleets. Fleet Management Machine Learning (FML) is the use of an artificial intelligent system to make decisions about the performance of a fleet. A group of specialists who work together on this project in the Carnegie Mellon University in Pittsburgh, Pennsylvania, always monitor the action of the truckers in real time and make informed decisions. They are able to do this by tracking the activities of the individual machines in addition to the behaviour of the people in the trucks. This project was created in the Defense Advanced Research Projects Agency (Darpa), a government agency which is responsible for autonomous vehicles and other high tech war systems. FML is the future of trucking. It'll replace long-term drivers with fully automated trucks. Trucking companies have been pushing for years for Driverless Truck Technology, to conserve fuel costs, but also to make the company more profitable. But with the advent of Driverless Truck technologies, they eventually have a solution. Many trucking companies are already using this program on their evaluation trucks. Some trucking companies claim that this type of Truck Driverless Systems is not just safer, but will save them millions of dollars per year. What is even better, most of these autonomous systems have the capacity to speak to other trucks along with other systems. With this ability, the business will be able to communicate with other trucking companies, and vice versa. They'll also have the ability to alert their drivers to traffic, or any other event that might affect the correct operation of the truck. What makes this system so unique is that they can alert their drivers into real time traffic conditions that are not observable to the naked eye, like rain or snow. If you want a really driverless truck, there are a couple of challenges that are unique to autonomous trucking. One of those challenges is keeping the privacy of all the passengers. Since the vehicle is fully automated, it has the capability to proceed with no existence of the individual in the passenger seat. However, generally, this may create privacy issues for both parties. Many people want their privacy, particularly when sharing rides in the rear of a truck, to be safeguarded at all times. The problem with training a machine to push, is it is quite hard to train a machine that is not going to behave the same way as a human driver. The first step of this solution would be to make certain that the company purchasing the fleet is totally dedicated to teaching the autonomous vehicle. A fantastic fleet training provider must have excellent coaches and multiple qualified trainers to ensure that the procedure is done correctly. Fleet management is a developing business and several businesses are looking towards Machine learning how to provide a solution. Some companies offer training and some even go as far as to put in Machine Learning capable trucks on site at the customer's site. This enables the client to have complete control over the training process and to make any adjustments needed before or following the machine learning process has been completed. Whatever method is preferred, it is imperative that all employees are trained to execute their job based on the driving rules of the nation. Read more to obtain more information about artificial intelligence transportation.Like it? Share it! More by this author |