Amazon has been awarded a new patent for a technology network that would allow driverless cars and trucks to navigate lanes best suitable for their needs.
The patent, which was filed last November and approved on Tuesday, reveals a "roadway management system" that could direct self-driving cars which lanes to use on the road. The preference will be based on factors including speed, destination, time of the day, number of occupants, and flow of traffic, the Business Insider reported.
The new technology would also allow driverless cars to detect reversible lanes. When navigating on reversible lanes, drivers are notified of the changes through overhead signals and lights, alerting which lanes are allowed for driving or turning.
"The roadway management system can determine the direction of travel for lanes in a roadway and direct autonomous automobiles to enter the roadway in a particular time," according to the filing.
"Additionally, an autonomous vehicle may be unaware of an optimal lane at which to enter a roadway that has reversible lanes."
The patent also made mention of an all new computing network, which is similar to cloud-based platforms. It aims to link the roadway management system into various transportation data so vehicles could communicate traffic pattern, safety stats, and other relevant information.
The proposed roadway management system would also designate lanes to vehicles, with consideration to some factors like destination, traffic flow, to name a few. Driverless cars are also allowed to submit a request to the management system if it wants to use a portion of road.
Meanwhile, although Amazon has not released its own driverless car yet, the patent suggests that the company wants a share of the growing self-driving market. It could be noted that the patented network will be controlled solely by Amazon and will be made available to the different automakers.
Amazon's patent filing also comes after it acquired a fleet of trucks and filed a patent for huge flying warehouses to house its fleet of delivery drones.