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A Knowledge-Based A...
A Knowledge-Based AI Framework for Mobility as a Service
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- Rajabi, Enayat, 1978- (författare)
- Högskolan i Halmstad,Centrum för forskning om tillämpade intelligenta system (CAISR),Shannon School of Business, Cape Breton University, Sydney, Canada
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- Nowaczyk, Sławomir, 1978- (författare)
- Högskolan i Halmstad,Centrum för forskning om tillämpade intelligenta system (CAISR)
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- Pashami, Sepideh, 1985- (författare)
- Högskolan i Halmstad,Centrum för forskning om tillämpade intelligenta system (CAISR)
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- Bergquist, Magnus, 1960- (författare)
- Högskolan i Halmstad,Centrum för forskning om tillämpade intelligenta system (CAISR)
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- Ebby, Geethu Susan (författare)
- Shannon School of Business, Cape Breton University, Sydney, Canada
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- Wajid, Summrina, 1977- (författare)
- Högskolan i Halmstad,Centrum för forskning om tillämpade intelligenta system (CAISR)
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(creator_code:org_t)
- 2023-02-02
- 2023
- Engelska.
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Ingår i: Sustainability. - Basel : MDPI. - 2071-1050. ; 15:3
- Relaterad länk:
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https://doi.org/10.3...
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https://hh.diva-port... (primary) (Raw object)
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https://urn.kb.se/re...
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https://doi.org/10.3...
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Abstract
Ämnesord
Stäng
- 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. © 2023 by the authors.
Ämnesord
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Sciences (hsv//eng)
Nyckelord
- mobility as a service
- knowledge-based
- explainability
- Smart Cities and Communities
- Smarta städer och samhällen
Publikations- och innehållstyp
- ref (ämneskategori)
- art (ämneskategori)
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