Avaliação do impacto do algoritmo de atribuição de demanda nos ganhos dos taxistas

• Ano de defesa: 2022
• Autor(a) principal: Brizzi, André Vinicius Stolz
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Federal de Santa Maria; Brasil; Ciência da Computação; UFSM; Programa de Pós-Graduação em Ciência da Computação; Centro de Tecnologia
• Palavras-chave em Português: Simulação; Serviço de táxi; Lucro dos motoristas; Simulation; Taxi service; Drivers income; CNPQ::CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO
• Link de acesso: http://repositorio.ufsm.br/handle/1/25170

Taxi is a well-established service and allows the customer to take advantage of the mobility service without being directly encumbered by vehicle related costs. The service provider is responsible for vehicle maintenance, payment of fuel, taxes, fines, etc. The service request can be carried out mainly through smartphones applications, where the customer selects desired options, including the payment method. The taxi-customer assignment is typically made by a central, using distance as a criterion. Therefore, taxi drivers who are closer to customers or who are at the most popular taxi stands earn more than those who do not have access to these facilities. This creates an imbalance between the earnings of taxi drivers. Customer-taxi assignment strategies seek time efficiency and agility in serving customers. In this work, in contrast, the different assignament strategies are evaluated seeking the taxi driver’s point of view. For this study, a taxi service with a standardized fleet of vehicles is considered. Given demand and costs, a simulation is proposed to detail and evaluate the balance between taxi drivers’ revenue with regard to different customer-taxi assignament strategies. The results show that ride-sharing strategies can be beneficial both for customers, with shorter waiting times, and for taxi drivers, with greater profit equality.