Inferring trip occupancies in the rise of ride-hailing services

Inferring trip occupancies in the rise of ride-hailing services

The knowledge of all occupied and unoccupied trips made by self-employed drivers are essential for optimized vehicle dispatch by ride-hailing services (e.g., Didi Dache, Uber, Lyft, Grab, etc.). However, the occupancy status of vehicles is not always known to the service operators due to adoption of...

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Bibliographic Details
Main Authors: CHIANG, Meng-Fen, LIM, Ee-peng, LEE, Wang-Chien, HOANG, Tuan-Anh
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2018
Subjects:
occupancy inference
trajectory segmentation
ride-hailing services
Databases and Information Systems
Transportation
Online Access:https://ink.library.smu.edu.sg/sis_research/4265
https://ink.library.smu.edu.sg/context/sis_research/article/5268/viewcontent/21._Dec03_2018___Inferring_Trip_Occupancies_in_the_rise_of_ride_hailing_services_CIKM18_.pdf
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Institution: Singapore Management University
Language: English

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https://ink.library.smu.edu.sg/sis_research/4265
https://ink.library.smu.edu.sg/context/sis_research/article/5268/viewcontent/21._Dec03_2018___Inferring_Trip_Occupancies_in_the_rise_of_ride_hailing_services_CIKM18_.pdf

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