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Smarter self-driving cars can now “think” like human drivers
- Engineers at Hong Kong University of Science and Technology developed a cognitive encoding framework for autonomous vehicles (AVs) to think like human drivers.
- The new technology helps AVs make smarter, safer decisions in complex traffic situations, improving road safety for all users.
- It reduces overall traffic risk by 26% and cuts danger to vulnerable road users like pedestrians and cyclists by over 50%.
- Cars using this system experienced an 8% drop in risk and finished routes nearly 14% faster, enhancing efficiency.
- The system mimics human-like thinking by considering multiple factors simultaneously, known as 'social sensitivity.'
- It assesses individual risks, prioritizes safety for the most vulnerable, and predicts how actions may impact others.
- The technology underwent testing in 2,000 traffic simulations, showing improved safety and enhanced efficiency in driving.
- It is adaptable to local driving rules and cultural norms, making it suitable for global implementation.
- Collaboration with top universities in China and the U.S. aims to enhance the system's intelligence and adaptability further.
- The next phase involves building a diverse database of driving behavior from different countries.
- With this progress, self-driving cars are becoming more responsible and thoughtful on the road, akin to human drivers.
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