Conference Proceeding Article
In most cities, taxis play an important role in providing point-to-point transportation service. If the taxi service is reliable, responsive, and cost-effective, past studies show that taxilike services can be a viable choice in replacing a significant amount of private cars. However, making taxi services efficient is extremely challenging, mainly due to the fact that taxi drivers are self-interested and they operate with only local information. Although past research has demonstrated how recommendation systems could potentially help taxi drivers in improving their performance, most of these efforts are not feasible in practice. This is mostly due to the lack of both the comprehensive data coverage and an efficient recommendation engine that can scale to tens of thousands of drivers. In this paper, we propose a comprehensive working platform called the Driver Guidance System (DGS). With real-time citywide taxi data provided by our collaborator in Singapore, we demonstrate how we can combine real-time data analytics and large-scale optimization to create a guidance system that can potentially benefit tens of thousands of taxi drivers. Via a realistic agent-based simulation, we demonstrate that drivers following DGS can significantly improve their performance over ordinary drivers, regardless of the adoption ratios. We have concluded our system designing and building and have recently entered the field trial phase.
Databases and Information Systems | Technology and Innovation | Transportation
Intelligent Systems and Optimization
Proceedings of the Thirtieth Annual Conference on Innovative Applications of Artificial Intelligence, New Orleans, Louisiana USA, 2018 February 2-7
City or Country
New Orleans, LA
JHA, Shashi Shekhar; CHENG, Shih-Fen; LOWALEKAR, Meghna; WONG, Wai Hin; RAJENDRAM, Rajendram Rishikeshan; TRAN, Trong Khiem; Pradeep VARAKANTHAM; TRUONG TRONG, Nghia; and ABD RAHMAN, Firmansyah.
Upping the game of taxi driving in the age of Uber. (2018). Proceedings of the Thirtieth Annual Conference on Innovative Applications of Artificial Intelligence, New Orleans, Louisiana USA, 2018 February 2-7. 1-7. Research Collection School Of Information Systems.
Available at: http://ink.library.smu.edu.sg/sis_research/3952
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.