Neural approximate dynamic programming for on-demand ride-pooling

Neural approximate dynamic programming for on-demand ride-pooling

On-demand ride-pooling (e.g., UberPool, LyftLine, GrabShare) has recently become popular because of its ability to lower costs for passengers while simultaneously increasing revenue for drivers and aggregation companies (e.g., Uber). Unlike in Taxi on Demand (ToD) services – where a vehicle is assig...

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Bibliographic Details
Main Authors: SHAH, Sanket, LOWALEKAR, Meghna, VARAKANTHAM, Pradeep
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2020
Subjects:
Approximate dynamic programming
Approximate value function
Assignment problems
Combinatorial complexity
Integer linear programs
Origin and destinations
Transportation problem
Numerical Analysis and Scientific Computing
Operations Research, Systems Engineering and Industrial Engineering
Transportation
Online Access:https://ink.library.smu.edu.sg/sis_research/5992
https://ink.library.smu.edu.sg/context/sis_research/article/6995/viewcontent/5388_Article_Text_8613_1_10_20200511.pdf
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Institution: Singapore Management University
Language: English

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https://ink.library.smu.edu.sg/sis_research/5992
https://ink.library.smu.edu.sg/context/sis_research/article/6995/viewcontent/5388_Article_Text_8613_1_10_20200511.pdf

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