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