Augmenting decisions of taxi drivers through reinforcement learning for improving revenues

Augmenting decisions of taxi drivers through reinforcement learning for improving revenues

Taxis (which include cars working with car aggregation systems such as Uber, Grab, Lyft etc.) have become a critical component in the urban transportation. While most research and applications in the context of taxis have focused on improving performance from a customer perspective, in this paper,we...

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Bibliographic Details
Main Authors: VERMA, Tanvi, VARAKANTHAM, Pradeep, KRAUS, Sarit, LAU, Hoong Chuin
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2017
Subjects:
Sales
Scheduling
Taxicabs
Urban transportation
Artificial Intelligence and Robotics
Computer Sciences
Transportation
Online Access:https://ink.library.smu.edu.sg/sis_research/3867
https://ink.library.smu.edu.sg/context/sis_research/article/4869/viewcontent/15746_68951_1_PB.pdf
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Institution: Singapore Management University
Language: English

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https://ink.library.smu.edu.sg/sis_research/3867
https://ink.library.smu.edu.sg/context/sis_research/article/4869/viewcontent/15746_68951_1_PB.pdf

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