A POMDP model for guiding taxi cruising in a congested urban city

A POMDP model for guiding taxi cruising in a congested urban city

We consider a partially observable Markov decision process (POMDP) model for improving a taxi agent cruising decision in a congested urban city. Using real-world data provided by a large taxi company in Singapore as a guide, we derive the state transition function of the POMDP. Specifically, we mode...

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Bibliographic Details
Main Authors: AGUSSURJA, Lucas, LAU, Hoong Chuin
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2011
Subjects:
agent application
intelligent transportation
POMDP
taxi service
Artificial Intelligence and Robotics
Operations Research, Systems Engineering and Industrial Engineering
Transportation
Online Access:https://ink.library.smu.edu.sg/sis_research/1385
https://ink.library.smu.edu.sg/context/sis_research/article/2384/viewcontent/pomdpTaxi_2011_MICAI.pdf
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Institution: Singapore Management University
Language: English

Internet

https://ink.library.smu.edu.sg/sis_research/1385
https://ink.library.smu.edu.sg/context/sis_research/article/2384/viewcontent/pomdpTaxi_2011_MICAI.pdf

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