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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
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Downloads: (external link)
https://www.elgaronline.com/view/book/9781803929545/9781803929545.xml (application/pdf)
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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 Downloads
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 Downloads
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 Downloads
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 Downloads
Arash Rasaizadi, Fateme Hafizi and Seyedehsan Seyedabrishami
Ch 5 Using machine learning and deep learning for traffic congestion prediction: a review , pp 124-153 Downloads
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 Downloads
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 Downloads
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 Downloads
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 Downloads
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 Downloads
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 Downloads
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 Downloads
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 Downloads
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 Downloads
Sajjad Shafiei and Hussein Dia
Ch 15 Recombination-based two-stage out-of-distribution detection method for traffic flow pattern analysis , pp 434-464 Downloads
Yuchen Lu, Ying Jin and Xi Chen
Ch 16 An intelligent machine learning alerting system for distracted pedestrians , pp 465-480 Downloads
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 Downloads
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 Downloads
Dorsa Alipour and Hussein Dia
Ch 19 Cybersecurity challenges in AI-enabled smart transportation systems , pp 567-595 Downloads
Lyuyi Zhu, Ao Qu and Wei Ma
Ch 20 Autonomous driving: present and emerging trends of technology, ethics, and law , pp 596-616 Downloads
Gustav Lindberg, Ikeya Carrero, Fermín Mallor, Julián Estévez, Manuela Battaglini and Ricardo Vinuesa

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