Matching algorithm for improving ride-sharing by incorporating route splits and social factors.

ABSTRACT: Increasing traffic congestion and the advancements in technology have fostered the growth of alternative transportation modes such as dynamic ride-sharing. Smartphone technologies have enabled dynamic ride-sharing to thrive, as this type of transportation aims to establish ride matches between people with similar routes and schedules on short notice. Many automated matching methods are designed to improve system performance; such methods include minimizing process time, minimizing total system cost or maximizing total distance savings. However, the results may not provide the maximum benefits for the participants. This paper intends to develop an algorithm for optimizing matches when considering participants' gender, age, employment status and social tendencies. The proposed matching algor

SUBMITTER: Aydin OF 

PROVIDER: S-EPMC7055897 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature