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AI-Enabled Accessible Travel Plan for People With Disabilities
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Author(s): Moumita Chowdhury (Amity University Kolkata, India), Aastha Agarwal (Amity University Kolkata, India), Alisha Parveen (Amity University Kolkata, India)and Abhishek Mukhopadhyay (Amity University Kolkata, India)
Copyright: 2026
Pages: 42
Source title:
Practical Applications of Smart Human-Computer Interaction
Source Author(s)/Editor(s): Subrata Tikadar (Amity University, Kolkata, India), Joel JosĂ© Puga Coelho Rodrigues (Federal University of PiauĂ, Brazil), Rabi Shaw (Dr. B.R. Ambedkar National Institute of Technology, India), Ahdi Hassan (Global Institute for Research Education and Scholarship, The Netherlands)and Bidyut Kumar Patra (Indian Institute of Technology, India)
DOI: 10.4018/979-8-3373-6385-1.ch006
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Abstract
Accessible travel for people with disabilities remains a challenge due to mobility, sensory, and cognitive barriers. AI can improve travel by providing real-time assistance, intelligent navigation, and personalized route planning. This chapter examines the role of AI in addressing mobility challenges and enhancing transportation systems. It describes key barriers in existing travel solutions and introduces AI-driven approaches. It discusses computer vision for obstacle detection, NLP for voice-based travel support, and machine learning for route optimization. It explores the use of the Internet of Things and smart infrastructure to improve accessibility in public transportation. AI-based mapping services and assistive technologies are included as case studies. Future developments such as AI-integrated wearable devices and autonomous vehicles are considered. The chapter concludes with policy suggestions to support AI-enabled travel systems for people with disabilities. It provides insights for researchers, policymakers, and technology developers working to improve mobility.
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