A new transportation system will help motorists identify a personalized reliable driving route.
The Hong Kong Polytechnic University (PolyU) has developed an advanced intelligent transportation system, utilizing innovative algorithm for real-time journey time estimation to integrate and optimize three types of traffic data, including (1) offline travel time forecasts, (2) filtered real-time automatic vehicle identification data, and (3) real-time video detector data to update the journey time and/or traffic speed once every two minutes. The innovative algorithm has been enhanced to take into account traffic network uncertainty and the on-time arrival probability of a traveler at a destination, to help motorists identify a personalized reliable driving route.
Special Features and Advantages
• Both desktop and mobile versions are available
• Enable users to pre-set criterions such as the preferred departure time or preferred arrival time, value of time and petrol cost, etc.
• Take into account traffic network uncertainty (e.g. adverse weather and traffic accidents) and the on-time arrival probability of a traveller at a destination
Applications
• Personalized reliable driving routes system
• This intelligent transportation system can be extended to:
- Real-time transit vehicle arrival time system
- Public transport route system
- People-oriented urban traffic control system
- To assist transport management authorities to assess the multi-modal transport network reliability, so as to establish appropriate transportation strategies
Principal Investigator
Ir Prof. William H.K. LAM
Department of Civil and Environmental Engineering
The Hong Kong Polytechnic University
Contact Details
Institute for Entrepreneurship
The Hong Kong Polytechnic University
Tel: (852) 3400 2929 Fax: (852) 2333 2410 Email: [email protected]
