U.K.-based electric mobility company Electric Assist Vehicles, better known as EAV, has introduced a novel electric cargo van that can quickly and easily be manipulated to perform a wide variety of functions and handle a number of loads based on its specific environment.
The 'Lincs' vehicle, which is short for 'Lightweight Inner-City Solution,' is designed to be hooked up to other vehicles in order to form what EAV refers to as a "road train," an autonomous chain of Lincs vehicles that can navigate the urban environment with greater efficiency and flexibility than existing vehicles.
What's more, this particular electric cargo van can also be adapted for autonomous use, making it all the more attractive to industry players looking to cut both costs as well as greenhouse gas emissions in their delivery-related endeavors.
Chain-Linked Cargo Vans
These Electric Cargo Vans Can Be Connected to Form Road-Going Trains
Trend Themes
1. Electric Autonomous Cargo Vans - The use of electric autonomous vans for delivery purposes is becoming more common and could reduce costs and greenhouse gas emissions for businesses
2. Road Trains for Cargo Transportation - The formation of road trains made up of connected electric cargo vans could revolutionize cargo transportation in urban environments
3. Flexible and Adaptable Cargo Vans - Cargo vans that can be easily manipulated and adapted to different loads and environments offer significant potential for efficiency and cost savings in the logistics industry
Industry Implications
1. Logistics - The logistics industry could benefit from the use of electric autonomous cargo vans that are adaptable and can form road trains for efficient cargo transportation
2. Delivery Services - Delivery services could reduce costs and emissions by using electric autonomous cargo vans that can be tailored to specific loads and environments
3. Urban Transportation - The use of connected electric cargo vans for cargo transportation could improve efficiency and flexibility in urban environments while reducing greenhouse gas emissions