In accordance with the researchers, autonomous vehicles could be able to save fuel by trailing each other in huge platoons as there are many driver-less cars which are going to be merged into our transportation system as well. These vehicles can cause to less aerodynamic drag while they will be drive close together likewise birds and fighter jets fly in formation or bikers or race cars drivers draft in packs etc.
but there is a requirement of more time in order to deliver packages between distribution centers or to transport passengers between stations because of assembling a vehicle platoons for this purpose as in order to arrive at a station, first vehicle must wait for others for showing up before they can leave as a platoons and creating inevitable delays.
Now a simple vehicle platooning scenario has been studied by the team of engineers as well as the best ways have been determined in order to deploy vehicles for saving fuel and minimize delays. This analysis has been presented in the many news papers by the engineers, which shows that for the purpose of saving fuel and minimizing delays for autonomous trucks, these relatively simple and straightforward schedules can be the best approach.
This technology can also be helpful to conventional long distance trucking as well as ride sharing services. According to the researchers, for the purpose of truck driving especially over long distances, most of the truck’s fuel is usually spent on trying to get rid of aerodynamic drag which means pushing the truck with the help of surrounding air.
This has been previously figured out by the scientists that there are several trucks which were to cover a few distances apart along with one following the other and those in the middle should cover less drag and save fuel by as much as 20 percent rather the 15 percent fuel should be saved by the last truck because of air currents that drag behind.
More energy can be collectively saved if there are more vehicles added to the platoon but it will require a lot time in order to assemble a platoon. For studying the impacts of several scheduling policies on fuel consumption and delays, a mathematical model has been developed by the team of engineers.
A simple scenario has been modeled by them in which multiple trucks can travel between two stations as well as they can arrive at each station at different times. There are two main components in this mode which are a formula in order to represent vehicle arrival times and another is for predicting the energy consumption of a vehicle platoon.