AI-Based Green Transportation: A Sustainable Approach

Kabeer Tijjani Saleh, Auwal Alhassan Musa, Salim Idris Malami, Yasemin Sarikaya Levent, Shashivendra Dulawat

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

Current urban societies are characterized by having been polluted on a daily basis due to increase in urbanization activities, industrialization, and transportation. In an attempt of having clean, healthy, sustainable, and pollution free urban environment, the concept of green buildings, green transportation or rather sustainable transportation is discussed in this chapter. Green transportation unveils the ability of the available transportation modes in our environment to produce a renewable source of energy that is 270clean, defendant, and has no harmful effect to the inhabitants. This green transportation aimed in achieving sustainability in urban transportation, urban climate, social lifestyle and environmental management in general through artificial intelligence (AI) sustenance. AI is one of the components of green transportation as it refers to the recreation and application of human intelligence in machines that will be programmed and have the ability to execute task in simpler, quicker, sustainable with little or no detrimental effect to the urban environment. In this instance, the application of such intelligence in green transportation is due considered in this chapter, the role of AI in green transportation as well as challenges associated with it. While a case study of Istanbul Metropolis of Turkey was also featured.

Original languageEnglish
Title of host publicationArtificial Intelligence for Future Intelligent Transportation
Subtitle of host publicationSmarter and Greener Infrastructure Design
PublisherApple Academic Press
Pages269-302
Number of pages34
ISBN (Electronic)9781003408468
ISBN (Print)9781774913529
DOIs
Publication statusPublished - 2024

ASJC Scopus subject areas

  • Computer Science(all)
  • Social Sciences(all)

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