US researchers develop algorithm to train vehicles for complex freeway lane merging scenarios

News
New Product Development

The researchers have so far only experimented with the strategy in simulations

The researchers from North Carolina State University have developed a method that enables autonomous car software to do the necessary calculations more rapidly to improve traffic and safety in simulated driverless vehicle systems, according to a press release on 24 August 2022.

Thank you for visiting S&P Global AutoTechInsight.

*A subscription to News & Analysis includes four S&P Global-selected sector-specific analytical pieces per month. Access to all analytic pieces across all domains comes with a subscription to All Domains. Please click here to subscribe.

To get access to the AutoTechInsight full suite of services, please contact a sales representative by clicking here.

Already a subscriber? Please log in here

preload preload preload preload preload preload