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Handbook on Artificial Intelligence and Transport
Edited by Hussein Dia
in Books from Edward Elgar Publishing
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.
Keywords: Economics and Finance; Environment; Geography; Innovations and Technology; Law - Academic; Politics and Public Policy Urban and Regional Studies (search for similar items in EconPapers)
Date: 2023
ISBN: 9781803929538
References: Add references at CitEc Citations:
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Chapters in this book: - Ch 1 A comparative evaluation of established and contemporary deep learning traffic prediction methods , pp 14-46

- Ta Jiun Ting, Scott Sanner and Baher Abdulhai
- Ch 2 Fault tolerance and transferability of short-term traffic forecasting hybrid AI models , pp 47-79

- Rusul Abduljabbar, Hussein Dia and Pei-Wei Tsai
- Ch 3 A review of deep learning-based approaches and use cases for traffic prediction , pp 80-101

- Rezaur Rahman, Jiechao Zhang and Samiul Hasan
- Ch 4 The ensemble learning process for short-term prediction of traffic state on rural roads , pp 102-123

- Arash Rasaizadi, Fateme Hafizi and Seyedehsan Seyedabrishami
- Ch 5 Using machine learning and deep learning for traffic congestion prediction: a review , pp 124-153

- Adriana-Simona Mihaita, Zhulin Li, Harshpreet Singh, Nabin Sharma, Mao Tuo and Yuming Ou
- Ch 6 The potential of explainable deep learning for public transport planning , pp 155-175

- Wenzhe Sun, Jan-Dirk Schmöcker, Youxi Lai and Koji Fukuda
- Ch 7 Neural network approaches for forecasting short-term on-road public transport passenger demands , pp 176-220

- Sohani Liyanage, Hussein Dia, Rusul Abduljabbar and Pei-Wei Tsai
- Ch 8 Artificial intelligence in railway traffic planning and management Taxonomy, a systematic review of the state-of-the-art of AI, and transferability analysis , pp 222-248

- Ruifan Tang, Zhiyuan Lin, Ronghui Liu, Rob M.P. Goverde and Nikola Beä°inoviƒá
- Ch 9 Artificial intelligence in railways: current applications, challenges, and ongoing research , pp 249-283

- Lorenzo De Donato, Ruifan Tang, Nikola Bes̆inović, Francesco Flammini, Rob M.P. Goverde, Zhiyuan Lin, Ronghui Liu and Valeria Vittorini
- Ch 10 Artificial intelligence and machine learning applications in freight transport , pp 285-322

- Yijie Su, Hadi Ghaderi and Hussein Dia
- Ch 11 A paradigm shift in the aviation industry with digital twin, blockchain, and AI technologies , pp 323-346

- Tommy Cheung, Bo Li and Zheng Lei
- Ch 12 A deep learning approach to real-time video analytics for people and passenger counting , pp 348-379

- Chris McCarthy, Hadi Ghaderi, Prem Prakash Jayaraman and Hussein Dia
- Ch 13 AI machine vision for safety and mobility: an autonomous vehicle perspective , pp 380-409

- Sagar Dasgupta, Xishi Zhu, Muhammad Sami Irfan, Mizanur Rahman, Jiaqi Gong and Steven Jones
- Ch 14 A review of AI-enabled and model-based methodologies for travel demand estimation in urban transport networks , pp 411-433

- Sajjad Shafiei and Hussein Dia
- Ch 15 Recombination-based two-stage out-of-distribution detection method for traffic flow pattern analysis , pp 434-464

- Yuchen Lu, Ying Jin and Xi Chen
- Ch 16 An intelligent machine learning alerting system for distracted pedestrians , pp 465-480

- M.L. Cummings, Lixiao Huang and Michael Clamann
- Ch 17 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 , pp 482-532

- Xiaoyu Wang, Baher Abdulhai and Scott Sanner
- Ch 18 A review of AI ethical and moral considerations in road transport and vehicle automation , pp 534-566

- Dorsa Alipour and Hussein Dia
- Ch 19 Cybersecurity challenges in AI-enabled smart transportation systems , pp 567-595

- Lyuyi Zhu, Ao Qu and Wei Ma
- Ch 20 Autonomous driving: present and emerging trends of technology, ethics, and law , pp 596-616

- Gustav Lindberg, Ikeya Carrero, Fermín Mallor, Julián Estévez, Manuela Battaglini and Ricardo Vinuesa
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Persistent link: https://EconPapers.repec.org/RePEc:elg:eebook:21868
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