For the logistics sector, timing means everything. Even a truck arriving at its destination a few hours later than planned may lead to thousands of dollars of loss. The most important reason why vehicles on the road cannot be operated with excellent planning is human errors. With autonomous driving technologies and fleet management applications supporting them, it is possible to prevent these problems and maximize fleet efficiencies.
Discussions around autonomous driving technologies are generally about passenger cars. However, it is not only individual drivers but also the logistics sector who is waiting for these technologies to become more accessible and thus widespread.
One of the biggest reasons for their waiting is efficiency, for sure. Human error-induced fleet management challenges can be overcome with computer power. This way, it is not a fantasy to reach a logistics sector that gets things done on time, consumes less energy, and causes fewer accidents.
All around the world, breakthroughs are being made for the use of autonomous driving technologies in the logistics sector. Aurora Innovation's acquisition of Uber's autonomous driving unit, and investments made in this field by some companies, including Amazon, Hyundai, Toyota, and Denso, are heralding the impact of autonomous driving on the sector.
One of the biggest problems of long-distance drivers is long working hours. For these drivers in North America to maintain their job, they have to drive more than 10 hours a day. According to the regulations in America, a driver needs to rest for at least 10 hours after driving for 14 hours. However, these working conditions are not very realistic. Long driving times cause drivers to lose their concentration and pave the way for accidents.
On the other hand, the number of actively working drivers is quite insufficient. According to American Truck Association's data, there will be a shortage of thousands of truck drivers by 2026.
Heavy vehicles have several advantages in terms of using autonomous driving technologies. These vehicles are generally used for fixed-route transportations, which allows making route optimization much more easily. Besides that, these vehicles rarely ever enter the city traffic and do not need to make many maneuvers on highways.
Thanks to autonomous driving technologies, vehicles in the logistics sector can be operated almost round the clock as long as roads are open. In a competitive environment with increased global trade volume where companies race against time, autonomous vehicles will make a major revolution. Thanks to these vehicles, doubled speed of the logistics sector will positively affect not only the logistics sector but also all others operating in the different areas of manufacturing and sales.
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