A Knowledge-Based AI Framework for Mobility as a Service

Enayat Rajabi, Sławomir Nowaczyk, Sepideh Pashami, Magnus Bergquist, Geethu Susan Ebby () and Summrina Wajid
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Enayat Rajabi: Center for Applied Intelligent Systems Research, Halmstad University, 301 18 Halmstad, Sweden
Sławomir Nowaczyk: Center for Applied Intelligent Systems Research, Halmstad University, 301 18 Halmstad, Sweden
Sepideh Pashami: Center for Applied Intelligent Systems Research, Halmstad University, 301 18 Halmstad, Sweden
Magnus Bergquist: Center for Applied Intelligent Systems Research, Halmstad University, 301 18 Halmstad, Sweden
Geethu Susan Ebby: Shannon School of Business, Cape Breton University, Sydney, NS B1P 6L2, Canada
Summrina Wajid: Center for Applied Intelligent Systems Research, Halmstad University, 301 18 Halmstad, Sweden

Sustainability, 2023, vol. 15, issue 3, 1-15

Abstract: Mobility as a Service (MaaS) combines various modes of transportation to present mobility services to travellers based on their transport needs. This paper proposes a knowledge-based framework based on Artificial Intelligence (AI) to integrate various mobility data types and provide travellers with customized services. The proposed framework includes a knowledge acquisition process to extract and structure data from multiple sources of information (such as mobility experts and weather data). It also adds new information to a knowledge base and improves the quality of previously acquired knowledge. We discuss how AI can help discover knowledge from various data sources and recommend sustainable and personalized mobility services with explanations. The proposed knowledge-based AI framework is implemented using a synthetic dataset as a proof of concept. Combining different information sources to generate valuable knowledge is identified as one of the challenges in this study. Finally, explanations of the proposed decisions provide a criterion for evaluating and understanding the proposed knowledge-based AI framework.

Keywords: mobility as a service; knowledge-based; explainability (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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