Скачать или смотреть Torc Self-Driving Capability: Perform car following in stop-and-go traffic

According to the National Highway Traffic Safety Administration (NHTSA), rear-end collisions make up the majority of crashes on the road. Stop-and-go traffic is one of the situations that can lead to a rear-end crash, as people can become distracted, misjudge the distance between themselves and a lead vehicle, or not have time to react to a lead vehicle suddenly braking.

It is our hope that autonomous technology and connected infrastructure will create a future without traffic jams. Still, self-driving cars need to be able to navigate stop-and-go traffic with human driver behavior in mind. Our self-driving car is developed to avoid and mitigate rear-end collisions with human drivers by ensuring it keeps a safe following speed and distance, as well as avoiding abrupt braking, giving humans behind it time to react.

This video shows a few scenarios of the Torc self-driving car successfully maintaining appropriate following distance between cars in stop-and-go traffic. The Torc car accelerates and brakes smoothly with the flow of traffic, fills gaps created by cars leaving the lane, and adjusts speed as the lane moves forward.

Torc Robotics is an autonomous vehicle industry leader. Since 2007, our team has been commercializing self-driving technology across multiple fields. Today, we’re creating life-saving software for self-driving semi-trucks alongside our partner, Daimler Truck. Together, we’re changing the way the long-haul freight industry looks forward.

Website ► http://torc.ai
Blog ► http://torc.ai/newsroom
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Twitter ► @torcrobotics

NHSTA source link: https://crashstats.nhtsa.dot.gov/#/