Driver Guidance System (DGS)
From IITS Web Team
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Traditional taxi fleet operators around the world have been facing intense competition. The emergence of services such as Grab in the ride-hailing market has greatly impacted the taxi industry: the average daily taxi ridership for the past two years has been falling continuously, by close to 20% in total.
In this video, A/Prof Cheng Shih-Fen shares how adopting efficient real-time data analytics and large-scale multi-agent optimisation technology could potentially help taxi drivers compete against more technologically advanced service platforms.
He is the Deputy Director of Research at UNiCEN, and Associate Professor of Information Systems at Singapore Management University.
Faculty Profile: https://www.smu.edu.sg/faculty/profile/9608/CHENG-Shih-Fen
Fujitsu-SMU Urban Computing & Engineering Corp Lab (UNiCEN): https://unicen.smu.edu.sg/
Research Interests: Intelligent Systems & Optimisation, Agent-Based Models for Financial Markets, Intelligent Agent-Based Simulation of Commodity Markets, Optimisation of Urban Transportation Systems, Large-Scale Optimisation Models and Computational Methods, Design and Performance Analysis of Autonomous Trading Agents, Models and Computational Methods for Market-Based Resource Allocation Problems
References:
CHENG, Shih-Fen; JHA, Shashi Shekhar; and RAJENDRAM, Rishikeshan. Taxis strike back: A field trial of the driver guidance system. (2018). AAMAS '18: Proceedings of the 17th International Conference on Autonomous Agents and Multiagent Systems, Stockholm, July 10-15. 577-584. Research Collection School Of Information Systems.
Available at: https://ink.library.smu.edu.sg/sis_research/4117
JHA, Shashi Shekhar; CHENG, Shih-Fen; LOWALEKAR, Meghna; WONG, Nicholas; RAJENDRAM, Rishikeshan; VARAKANTHAM, Pradeep; TROUNG, Nghia Troung; and BIN ABD RAHMAN, Firmansyah. A driver guidance system for taxis in Singapore. (2018). AAMAS '18: Proceedings of the 17th International Conference on Autonomous Agents and Multiagent Systems, Stockholm, July 10-15. 1820-1822. Research Collection School Of Information Systems.
Available at: https://ink.library.smu.edu.sg/sis_research/4118
Cheng, S. (2019). Commentary: Shortening the waiting time for your cab with a driver guidance system. Channel NewsAsia. Retrieved from https://www.channelnewsasia.com/news/commentary/singapore-taxi-industry-ride-hailing-apps-driver-gui...
Produced by:
Office of Integrated Information Technology Services (IITS)
Office of Research & Tech Transfer (ORTT)
Singapore Management University
For more information on how SMU's research addresses societal challenges: https://www.smu.edu.sg/research
In this video, A/Prof Cheng Shih-Fen shares how adopting efficient real-time data analytics and large-scale multi-agent optimisation technology could potentially help taxi drivers compete against more technologically advanced service platforms.
He is the Deputy Director of Research at UNiCEN, and Associate Professor of Information Systems at Singapore Management University.
Faculty Profile: https://www.smu.edu.sg/faculty/profile/9608/CHENG-Shih-Fen
Fujitsu-SMU Urban Computing & Engineering Corp Lab (UNiCEN): https://unicen.smu.edu.sg/
Research Interests: Intelligent Systems & Optimisation, Agent-Based Models for Financial Markets, Intelligent Agent-Based Simulation of Commodity Markets, Optimisation of Urban Transportation Systems, Large-Scale Optimisation Models and Computational Methods, Design and Performance Analysis of Autonomous Trading Agents, Models and Computational Methods for Market-Based Resource Allocation Problems
References:
CHENG, Shih-Fen; JHA, Shashi Shekhar; and RAJENDRAM, Rishikeshan. Taxis strike back: A field trial of the driver guidance system. (2018). AAMAS '18: Proceedings of the 17th International Conference on Autonomous Agents and Multiagent Systems, Stockholm, July 10-15. 577-584. Research Collection School Of Information Systems.
Available at: https://ink.library.smu.edu.sg/sis_research/4117
JHA, Shashi Shekhar; CHENG, Shih-Fen; LOWALEKAR, Meghna; WONG, Nicholas; RAJENDRAM, Rishikeshan; VARAKANTHAM, Pradeep; TROUNG, Nghia Troung; and BIN ABD RAHMAN, Firmansyah. A driver guidance system for taxis in Singapore. (2018). AAMAS '18: Proceedings of the 17th International Conference on Autonomous Agents and Multiagent Systems, Stockholm, July 10-15. 1820-1822. Research Collection School Of Information Systems.
Available at: https://ink.library.smu.edu.sg/sis_research/4118
Cheng, S. (2019). Commentary: Shortening the waiting time for your cab with a driver guidance system. Channel NewsAsia. Retrieved from https://www.channelnewsasia.com/news/commentary/singapore-taxi-industry-ride-hailing-apps-driver-gui...
Produced by:
Office of Integrated Information Technology Services (IITS)
Office of Research & Tech Transfer (ORTT)
Singapore Management University
For more information on how SMU's research addresses societal challenges: https://www.smu.edu.sg/research
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