Multimodal urban mobility solutions for a smart campus using artificial neural networks for route determination and an algorithm for arrival time prediction

• Published in: Engineering applications of artificial intelligence Vol. 137; p. 109074
• Main Authors: dos Santos Sá, Joiner, do Nascimento da Silva, Edinho, Nunes Gonçalves, Leonardo, Mateus Machado Cardoso, Caio, Antloga do Nascimento, Andréia, Protásio dos Santos Cavalcante, Gervásio, Emília de Lima Tostes, Maria, Priscyla Leite de Araújo, Jasmine, José Brito Barros, Fabricio, de Souza Farias, Fabricio
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01.11.2024
• Subjects: Artificial intelligence; Artificial neural network; Multimodal mobility; Smart campus; Smart campus; Artificial neural network; Multimodal mobility; Artificial intelligence

Artificial intelligence algorithms play a key role in solving multimodal urban mobility problems, this study outlines a scheme covering bus, boat, and pedestrian transport modes. This involves designing an Artificial Neural Network (ANN) model to classify the most suitable routes for passengers, tog...