London Gatwick Airport is set to make aviation and automotive history in a few months as it expands its ground transport to include driverless vehicles. The six-month autonomous vehicle trial is set to be the first in the world and will see autonomous electric-powered vehicles used as the primary means to transporting staff around the airport. The trial is set to transport staff on the roads that connect the North and South terminals of London Gatwick Airport, and will have zero interaction with passengers or planes.
The autonomous busses will be managed and controlled by software from Oxbotica, who hope to use the data garnered in this trial to further its possible ranges. The trial will also aid the British government and insurance companies who are eager to learn more about autonomous vehicles in work environments. During the time of this trial London Gatwick Airport has ensured that operations will not be halted and everything will run a peak efficiency.
Driverless Bus Trials
London Gatwick Airport Is Making History With Autonomous Vehicles
Trend Themes
1. Autonomous Vehicles - The expansion of autonomous vehicles in ground transport presents opportunities for the development of innovative software and technology solutions.
2. Airport Transportation - The implementation of driverless buses in airports opens up possibilities for streamlining staff transportation and improving efficiency.
3. Data-driven Insights - The collection and analysis of data from autonomous vehicle trials can lead to valuable insights for software and technology companies.
Industry Implications
1. Automotive Industry - The automotive industry can explore ways to integrate autonomous vehicle technology into their vehicles, both for public use and within work environments.
2. Aviation Industry - The aviation industry can leverage autonomous vehicles for efficient ground transportation of staff, contributing to overall airport operations.
3. Software and Technology Industry - The software and technology industry can develop innovative solutions for managing and controlling autonomous vehicle fleets, as well as analyzing data for insights.