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Titlebook: Explainable Artificial Intelligence for Intelligent Transportation Systems; Ethics and Applicati Loveleen Gaur,Biswa Mohan Sahoo Book 2022

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發(fā)表于 2025-3-21 17:21:25 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱Explainable Artificial Intelligence for Intelligent Transportation Systems
副標(biāo)題Ethics and Applicati
編輯Loveleen Gaur,Biswa Mohan Sahoo
視頻videohttp://file.papertrans.cn/320/319294/319294.mp4
概述Enables reader to explore, discover, implement solutions for Intelligent transportation system with AI.This book delivers the core concepts in both analytics and application of intelligent transportat
圖書(shū)封面Titlebook: Explainable Artificial Intelligence for Intelligent Transportation Systems; Ethics and Applicati Loveleen Gaur,Biswa Mohan Sahoo Book 2022
描述.Transportation typically entails crucial “l(fā)ife-death” choices, delegating crucial decisions to an AI algorithm without any explanation poses a serious threat. Hence, explainability and responsible AI is crucial in the context of intelligent transportation. In Intelligence Transportation System (ITS) implementations such as traffic management systems and autonomous driving applications, AI-based control mechanisms are gaining prominence..Explainable artificial intelligence for intelligent transportation system tackling certain challenges in the field of autonomous vehicle, traffic management system, data integration and analytics and monitor the surrounding environment..The book discusses and inform researchers on explainable Intelligent Transportation system. It also discusses prospective methods and techniques for enabling the interpretability of transportation systems. The book further focuses on ethical considerations apart from technical considerations..
出版日期Book 2022
關(guān)鍵詞Explainable Artificial Intelligence; AI; Machine Learning; Transportation System; Intelligent Transporta
版次1
doihttps://doi.org/10.1007/978-3-031-09644-0
isbn_softcover978-3-031-09646-4
isbn_ebook978-3-031-09644-0
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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發(fā)表于 2025-3-21 23:08:56 | 只看該作者
Intelligent Transportation Technology Enablers,ion industry. The improvements brought about by artificial intelligence include very complex computing approaches designed to replicate how the human brain operates. Artificial intelligence in transportation helps deal with the difficulties of rising travel demand, emissions, public safety concerns,
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Explainable AI in ITS: Ethical Concerns,stainability more effectively. AI will, among other things, help us build more efficiently, use resources more sustainably, and decrease and manage waste more effectively. Combining AI and sustainable development will assist the industries in building a better planet; that meets current demands. ML
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in both analytics and application of intelligent transportat.Transportation typically entails crucial “l(fā)ife-death” choices, delegating crucial decisions to an AI algorithm without any explanation poses a serious threat. Hence, explainability and responsible AI is crucial in the context of intelligen
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James R. Matey,Lauren R. Kennelldle driving on their own. Thus, the future intelligent transportation system (FITS) may be a centrally managed and optimised system with completely coordinated vehicle driving, which is unfeasible with the present transportation systems.
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發(fā)表于 2025-3-23 06:46:41 | 只看該作者
Introduction to Explainable AI and Intelligent Transportation,estion relief, make travel time more reliable for their customers, and improve their critical assets’ economics and productivity, among other things. This chapter presents an overview of the global artificial intelligence approaches to handling transportation challenges: traffic management, traffic safety, public transit, and urban mobility.
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