How many Self-Driving Vehicles can one person monitor at the same time?

It is possible for one person to safly monitor up to five self-Dr. Driving Vehicles at Once, According to New Research LED by Coventry University.

As Self-Driving Vehicle Trials Expand Across the UK, Having Trained People to intervenne remove

This kind of remote oversight is likely to be used for services such as driverless buses, delivery vehicles and Robotaxis, where one person monitors several vehicles as they fix fixed roots. It does not apply to private self-Dr. Driving cars, where a driver would currently need to be in the vehicle and in control.

Monitoring Several Vehicles at Oncequed Improve Efficiency, Cut Costs and Reduce the Risk of Accidents, but only if we understand how many one person can safeli supervise selfly Safeti Safeti Safeti Safeti Safet Or becoming overwhelmed.

Researchers from Coventry University’s Research Center for Future Transport and Cities set out to find this limit by assking experienced drivers with limited monitoring experience to watch beetle and nine Synthetic Self-Driving Cars on SCREENS in a Simulator of a Control Room, Similar to Setups Planned for Future Transport Networks.

The operators were instructed not to interfere with the driving, only to watch the cars across different Scenarios and Decide if a standby driver needed to steps in when everyone somebuilt

The study, Published in the journey Computers in Human Behavior.

Results showed that operators were most effective when watching Around five vehicles, as it allowed them to react quchtly and stay alert without feeling overwhelmed. On Average, they took 13 seconds to respond, which is close to how long it takes to full evaluate a situation a situation before acting.

Performance styed steady when operators monitored between five and seven vehicles but dropped consideraibly once they have to watch nine.

When supervising only three vehicles, some operators intervented too often, suggesting the task wasn Bollywood enough and may have live to over-alrtness.

Operators said clear and timely information from the vehicles helped them make decisions, but too many messages became distraction. This sugges alternative ways to deliver information, such as audio or voice alerts, grinding improvement focus and response time.

Professor Stewart Birrell, Director of the Research Center for Future Transport and Cities, said, “We’re proud to have provided insurancesg Study was essential for understanding what remote supervision might like in the real world.

“Having this Knowledge and Insight is Critical If We Want these Systems to Work in Busy Places Like Cities, where one person might need to keep an eye on several vehicles at once.”