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Intelligent transportation system estimates reliable personalised driving routes

Anyone who has ever been caught in Hong Kong traffic during rush hour knows just how frustrating it can be. Now, with an intelligent transportation system developed by Prof. William Lam and his research team at the Department of Civil and Environmental Engineering, that could all be in the past.

The system takes into consideration the uncertainty factors by updating the recommended route based on changing traffic conditions in real time. It enables users to pre-set criteria such as preferred departure time, arrival time and petrol cost etc., and then identifies the most reliable personalised driving route.