Chih-Lin ChungThis email address is being protected from spambots. You need JavaScript enabled to view it., Chia-Yi Pan, Chin-Fong Lee, and Yue-Lang Cheung
Received: March 22, 2023 Accepted: April 18, 2024 Publication Date: May 24, 2024
Copyright The Author(s). This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are cited.
Carpooling, an eco-friendly transportation option, has long been overlooked in Taiwan partially due to the absence of a tool facilitating rides with similar travel needs. This research addresses this gap by developing an app for real-time carpool matches. The process contains three steps: 1) Users sign up for the app with personal information, and the genetic algorism determines a fitness value based on the routing cost and user preferences such as interaction, dining, and smoke odor in the car; 2) After posting individual carpool demands, users receive a system-suggested carpool match; 3) The app generates a carpool fee with a discount for additional passengers, employing second-degree price discrimination. This app creates a mutually beneficial scenario: drivers earn a fee ranging from the public transit fare C as the price floor to 2.8C as the ceiling, covering gas costs and freeway tolls; passengers pay up to C and receive a 10% discount with an additional co-rider. The app and supporting measures propose a mechanism to alleviate traffic congestion in Taipei’s science park corridor.
Keywords: carpool, traffic congestion, price discrimination, user preference, genetic algorithm
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