Passengers' requests clustering with k-prototype algorithm for the first-mile and last-mile (FMLM) shared-ride taxi service-Reference-Cited by-同舟云学术

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Passengers' requests clustering with k-prototype algorithm for the first-mile and last-mile (FMLM) shared-ride taxi service

Published:2024-06 Issue:2 Volume:3 Page:100132
ISSN:2772-5863
Container-title:Multimodal Transportation
language:en
Short-container-title:Multimodal Transportation

Author:

Mohd Azimah,Teoh Lay Eng^ORCID,Khoo Hooi Ling

Publisher

Elsevier BV

Reference63 articles.

1. A k-mean clustering algorithm for mixed numeric and categorical data;Ahmad;Data Knowl Eng,2007

2. what influences travellers to use uber? exploring the factors affecting the adoption of on-demand ride services in California;Alemi;Travel Behaviour and Society,2018

3. Constrained clustering for the capacitated vehicle routing problem (CC-CVRP);Alesiani;Appl. Artif. Intell.,2022

4. Space-time clustering-based method to optimize shareability in real-time ride-sharing;Alisoltani;PLoS One,2022

5. Cluster validation for mixed-type data;Aschenbruck;Archives of Data Science, Series A,2020

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A stochastic ridesharing user equilibrium model with origin-destination-based ride-matching strategy;Transportation Research Part E: Logistics and Transportation Review;2024-09

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