Over the years, PolyU has assisted the HKSAR Government in developing and applying numerous real-time intelligent transportation systems, including Real-time Traffic Information System, Hong Kong eRouting, Hong Kong eTransport, Journey Time Indication System and Speed Map Panels. These systems can provide users with information about average journey time and traffic speed. However, uncertainties such as adverse weather and traffic accidents can delay the arrival time at a destination. In view of this, Prof. William Lam and his research team at the Department of Civil and Environmental Engineering have developed a novel intelligent transportation system that helps drivers to identify personalised reliable driving routes.
Taking traffic network uncertainties and the probability of arriving on time into consideration, the system uses an integrated algorithm to optimise three types of travel data for estimation of journey time – offline travel time forecasts, filtered real-time automatic vehicle identification data and real-time video detector data. Offered in both desktop and mobile versions, this new system 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. Drivers will not only save valuable time and petrol, but also help reduce carbon emissions and ease traffic jams. Details>>