2022
DOI: 10.3389/frsc.2022.824391
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Artificial Intelligence Policies to Enhance Urban Mobility in Southeast Asia

Abstract: Artificial intelligence (AI) is a powerful tool for technological progress with profound impacts on governments, industries, universities, and societies. In Southeast Asia, AI has presented both opportunities and challenges. Local governments are increasingly experimenting and piloting AI technology to create smart, sustainable, and inclusive cities. Nevertheless, the adoption of artificial intelligence in cities requires proper planning, management, and implementation. Consequently, there is a need for a conc… Show more

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Cited by 9 publications
(2 citation statements)
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“…Group 09 -Arti cial Intelligence encompasses studies that explore the application of AI in sustainable mobility management processes [221][222][223][224][225][226][227], including data mining for decision support [226,227], and decentralized intelligence in data fog on vehicle interconnection networks [228,229]. On the other hand, Group 10 -Smart Cities, is the group with the largest number of related studies, but most broadly address aspects of Smart Cities, with partial emphasis on mobility.…”
Section: Subgroups Of It Studies Applied In Sustainable Urban Mobilitymentioning
confidence: 99%
“…Group 09 -Arti cial Intelligence encompasses studies that explore the application of AI in sustainable mobility management processes [221][222][223][224][225][226][227], including data mining for decision support [226,227], and decentralized intelligence in data fog on vehicle interconnection networks [228,229]. On the other hand, Group 10 -Smart Cities, is the group with the largest number of related studies, but most broadly address aspects of Smart Cities, with partial emphasis on mobility.…”
Section: Subgroups Of It Studies Applied In Sustainable Urban Mobilitymentioning
confidence: 99%
“…challenges [5]. The use of standardized frameworks is crucial for achieving true smart cities, and open standards are necessary for establishing an integrated ecosystem [6], [7]. Information gathering, processing, and service delivery form the three phases of data management in a traffic management system [8].…”
Section: Introductionmentioning
confidence: 99%