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Handbook on Artificial Intelligence and Transport
Editor
Listed:
- Hussein Dia
Abstract
With AI advancements eliciting imminent changes to our transport systems, this enlightening Handbook presents essential research on this evolution of the transportation sector. It focuses on not only urban planning, but relevant themes in law and ethics to form a unified resource on the practicality of AI use.
Individual chapters are listed in the "Chapters" tab
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Book Chapters
The following chapters of this book are listed in IDEAS- Ta Jiun Ting & Scott Sanner & Baher Abdulhai, 2023. "A comparative evaluation of established and contemporary deep learning traffic prediction methods," Chapters, in: Hussein Dia (ed.), Handbook on Artificial Intelligence and Transport, chapter 1, pages 14-46, Edward Elgar Publishing.
- Rusul Abduljabbar & Hussein Dia & Pei-Wei Tsai, 2023. "Fault tolerance and transferability of short-term traffic forecasting hybrid AI models," Chapters, in: Hussein Dia (ed.), Handbook on Artificial Intelligence and Transport, chapter 2, pages 47-79, Edward Elgar Publishing.
- Rezaur Rahman & Jiechao Zhang & Samiul Hasan, 2023. "A review of deep learning-based approaches and use cases for traffic prediction," Chapters, in: Hussein Dia (ed.), Handbook on Artificial Intelligence and Transport, chapter 3, pages 80-101, Edward Elgar Publishing.
- Arash Rasaizadi & Fateme Hafizi & Seyedehsan Seyedabrishami, 2023. "The ensemble learning process for short-term prediction of traffic state on rural roads," Chapters, in: Hussein Dia (ed.), Handbook on Artificial Intelligence and Transport, chapter 4, pages 102-123, Edward Elgar Publishing.
- Adriana-Simona Mihaita & Zhulin Li & Harshpreet Singh & Nabin Sharma & Mao Tuo & Yuming Ou, 2023. "Using machine learning and deep learning for traffic congestion prediction: a review," Chapters, in: Hussein Dia (ed.), Handbook on Artificial Intelligence and Transport, chapter 5, pages 124-153, Edward Elgar Publishing.
- Wenzhe Sun & Jan-Dirk Schmöcker & Youxi Lai & Koji Fukuda, 2023. "The potential of explainable deep learning for public transport planning," Chapters, in: Hussein Dia (ed.), Handbook on Artificial Intelligence and Transport, chapter 6, pages 155-175, Edward Elgar Publishing.
- Sohani Liyanage & Hussein Dia & Rusul Abduljabbar & Pei-Wei Tsai, 2023. "Neural network approaches for forecasting short-term on-road public transport passenger demands," Chapters, in: Hussein Dia (ed.), Handbook on Artificial Intelligence and Transport, chapter 7, pages 176-220, Edward Elgar Publishing.
- Ruifan Tang & Zhiyuan Lin & Ronghui Liu & Rob M.P. Goverde & Nikola Beä°inoviƒá, 2023. "Artificial intelligence in railway traffic planning and management Taxonomy, a systematic review of the state-of-the-art of AI, and transferability analysis," Chapters, in: Hussein Dia (ed.), Handbook on Artificial Intelligence and Transport, chapter 8, pages 222-248, Edward Elgar Publishing.
- Lorenzo De Donato & Ruifan Tang & Nikola Bes̆inović & Francesco Flammini & Rob M.P. Goverde & Zhiyuan Lin & Ronghui Liu & Valeria Vittorini, 2023. "Artificial intelligence in railways: current applications, challenges, and ongoing research," Chapters, in: Hussein Dia (ed.), Handbook on Artificial Intelligence and Transport, chapter 9, pages 249-283, Edward Elgar Publishing.
- Yijie Su & Hadi Ghaderi & Hussein Dia, 2023. "Artificial intelligence and machine learning applications in freight transport," Chapters, in: Hussein Dia (ed.), Handbook on Artificial Intelligence and Transport, chapter 10, pages 285-322, Edward Elgar Publishing.
- Tommy Cheung & Bo Li & Zheng Lei, 2023. "A paradigm shift in the aviation industry with digital twin, blockchain, and AI technologies," Chapters, in: Hussein Dia (ed.), Handbook on Artificial Intelligence and Transport, chapter 11, pages 323-346, Edward Elgar Publishing.
- Chris McCarthy & Hadi Ghaderi & Prem Prakash Jayaraman & Hussein Dia, 2023. "A deep learning approach to real-time video analytics for people and passenger counting," Chapters, in: Hussein Dia (ed.), Handbook on Artificial Intelligence and Transport, chapter 12, pages 348-379, Edward Elgar Publishing.
- Sagar Dasgupta & Xishi Zhu & Muhammad Sami Irfan & Mizanur Rahman & Jiaqi Gong & Steven Jones, 2023. "AI machine vision for safety and mobility: an autonomous vehicle perspective," Chapters, in: Hussein Dia (ed.), Handbook on Artificial Intelligence and Transport, chapter 13, pages 380-409, Edward Elgar Publishing.
- Sajjad Shafiei & Hussein Dia, 2023. "A review of AI-enabled and model-based methodologies for travel demand estimation in urban transport networks," Chapters, in: Hussein Dia (ed.), Handbook on Artificial Intelligence and Transport, chapter 14, pages 411-433, Edward Elgar Publishing.
- Yuchen Lu & Ying Jin & Xi Chen, 2023. "Recombination-based two-stage out-of-distribution detection method for traffic flow pattern analysis," Chapters, in: Hussein Dia (ed.), Handbook on Artificial Intelligence and Transport, chapter 15, pages 434-464, Edward Elgar Publishing.
- M.L. Cummings & Lixiao Huang & Michael Clamann, 2023. "An intelligent machine learning alerting system for distracted pedestrians," Chapters, in: Hussein Dia (ed.), Handbook on Artificial Intelligence and Transport, chapter 16, pages 465-480, Edward Elgar Publishing.
- Xiaoyu Wang & Baher Abdulhai & Scott Sanner, 2023. "A critical review of traffic signal control and a novel unified view of reinforcement learning and model predictive control approaches for adaptive traffic signal control," Chapters, in: Hussein Dia (ed.), Handbook on Artificial Intelligence and Transport, chapter 17, pages 482-532, Edward Elgar Publishing.
- Dorsa Alipour & Hussein Dia, 2023. "A review of AI ethical and moral considerations in road transport and vehicle automation," Chapters, in: Hussein Dia (ed.), Handbook on Artificial Intelligence and Transport, chapter 18, pages 534-566, Edward Elgar Publishing.
- Lyuyi Zhu & Ao Qu & Wei Ma, 2023. "Cybersecurity challenges in AI-enabled smart transportation systems," Chapters, in: Hussein Dia (ed.), Handbook on Artificial Intelligence and Transport, chapter 19, pages 567-595, Edward Elgar Publishing.
- Gustav Lindberg & Ikeya Carrero & Fermín Mallor & Julián Estévez & Manuela Battaglini & Ricardo Vinuesa, 2023. "Autonomous driving: present and emerging trends of technology, ethics, and law," Chapters, in: Hussein Dia (ed.), Handbook on Artificial Intelligence and Transport, chapter 20, pages 596-616, Edward Elgar Publishing.
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Keywords
Economics and Finance; Environment; Geography; Innovations and Technology; Law - Academic; Politics and Public Policy Urban and Regional Studies;All these keywords.
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