Save fuel and reduce delays! Driverless cars line up

According to a recent data from the Massachusetts Institute of Technology, driverless cars can save more time and fuel when they are loaded with heavy weight because they use less air resistance. However, the researchers said that it would take a certain amount of time to get on and off the passengers between loading and unloading goods or between different stations.

Save fuel and reduce delays! Driverless cars line up

The first factor that causes the driverless car to delay first is that the vehicle needs to wait for the car at the other site to depart before it leaves the car.

Now, MIT engineers have developed an up-to-date scenario in which the best way to determine how a driverless car can save fuel and minimize delays.

First, the easiest way is to simplify the schedule as much as possible, and to arrange the driverless team in an optimal way to save fuel and reduce delays. And these research results also apply to ordinary long-distance cargo transportation. “We can even arrange the driving sequence of driverless cars in a way similar to flying formations. From a system perspective, the principles are basically similar,” said Karaman Sertac, associate professor of aviation at MIT.

“People who study this system only value efficiency indicators such as latency and throughput, but in addition to these basic indicators, some of the sustainability factors of cost, energy and environmental impact are also evaluated for the travel evaluation of driverless cars. Role," Karaman said. For truck drivers, especially for long-distance transportation, a truck has a lot of fuel consumption to overcome air resistance, that is, if it can reduce air resistance, it can effectively reduce energy consumption.

Previously, scientists have calculated that if several trucks are driven in a sequence of several meters, the air resistance in the middle of the truck will be greatly reduced, and at the same time, fuel consumption will be saved by up to 20%, while the trucks for the last one are Affected by the airflow behind, the savings have dropped slightly, but it has also reached 15%. So if more cars are arranged, more fuel consumption will be saved. Of course, these vehicles make up the ranks and they also need some time cost.

Karaman and his colleagues developed a mathematical model to study the effects of different scheduling strategies on fuel consumption and time delays. They simulated a simple scenario in which multiple trucks were driving at the same time between the two stations and the time to arrive was random. The model is mainly composed of two parts, which can simulate the arrival time of the vehicle and predict the energy consumption of each vehicle through a formula.

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