Power Shifting: Triple Shift Left in Auto Electronics

By Burkhard Huhnke, VP Automotive, Synopsys Inc.

Power Shifting: Triple Shift Left in...

Electromobility, Big Data and Automation Shifting the Trucking Industry's Future

By Keith Brandis, Vice President Partnerships &...

Electromobility, Big Data and...

Connected Cars: The Future of the Automotive Industry is Here and Now

By Don Gottwald, Chief Strategy Officer &...

Connected Cars: The Future of the...

A New Transportation Mode is Swiftly Arriving: What it Means for the Future of Auto

By Gary A Silberg, Head of Automotive, KPMG LLP

A New Transportation Mode is Swiftly...

Self-Driven Cars to Rationalize Traffic Adversities in Future

By Auto Tech Outlook | Thursday, July 04, 2019

A fleet of miniature robotic cars can improve overall traffic flow by predicting when a vehicle should change lane, alongside, ensuring safety.

FREMONT, CA: According to research from the University of Cambridge, a fleet of driverless cars working together to keep traffic moving smoothly can improve overall traffic flow by at least 35 percent. These researchers programmed a small fleet of miniature robotic cars to drive on a multi-lane track and observed how the traffic flow changed when one of the cars stopped. Cars behind the stopped car had to stop or slow down and wait for a gap in the traffic when the miniature robotic cars were not driving cooperatively. As soon as one car stopped in the inner lane when miniature robotic cars were communicating with each other and driving cooperatively, it sent a signal to all the other cars.

In the same way, when standard human-controlled cars were put under the same circumstances, the results were less aggressive. When the driver was put on the 'road' with the autonomous cars and aggressively moved around the track, the other cars were able to give way to avoid the aggressive driver, improving safety. Autonomous cars will fix a lot of different problems associated with driving in cities, but there needs to be a way for them to work together. If different automotive manufacturers are all developing their autonomous cars with their software, those cars all need to interact with each other productively.  

Many subsisting tests for various autonomous driverless cars are done digitally. Scale models that are either too large or too expensive to carry out indoor experiments with fleets of cars is another way that existing tests for multiple autonomous driverless cars can be done. Beginning with economic scale models of commercially-accessible vehicles with sensible steering systems, researchers accustomed the cars with motion capturing sensors and Raspberry Pi so that the cars can interact via wifi. Later they adopted a lane-changing algorithm for autonomous cars to work with a fleet of cars. In the coming days, the fleet of autonomous multi-car systems in more complex scenarios, including roads with more lanes, intersections, and a more extensive range of vehicle types is a better weapon to tackle hurdles-related to traffic.

How Automotive IoT Solutions Streamline Car Rental Business?

Though the internet of things (IoT) is not the first thing that one...

How Automotive IoT...

Autonomous Vehicles and the Insurance Policies: Where Does the World Stand?

The day when autonomous vehicles will become mainstream is not far. The...

Autonomous Vehicles and...

Why is LiDAR an Essential Technology for Autonomous Vehicles?

Innovation is often fueled by competition, the absence of which might...

Why is LiDAR an Essential...

Neural Networks Can Help Make Autonomous Cars Safer!

It has not been more than a couple of years since the autonomous vehicle...

Neural Networks Can Help...

follow on linkedin follow on twitter Copyright © 2019 www.autotechoutlook.com All Rights Reserved | Privacy Policy
Top