相關主題
商品描述
Artificial Intelligence in Highway Safety provides cutting-edge advances in highway safety using AI. The author is a highway safety expert. He pursues highway safety within its contexts, while drawing attention to the predictive powers of AI techniques in solving complex problems for safety improvement. This book provides both theoretical and practical aspects of highway safety. Each chapter contains theory and its contexts in plain language with several real-life examples. It is suitable for anyone interested in highway safety and AI and it provides an illuminating and accessible introduction to this fast-growing research trend.
Material supplementing the book can be found at https: //github.com/subasish/AI_in_HighwaySafety. It offers a variety of supplemental materials, including data sets and R codes.
商品描述(中文翻譯)
《高速公路安全中的人工智慧》提供了使用人工智慧在高速公路安全領域的尖端進展。作者是一位高速公路安全專家，他在探討高速公路安全的背景下，著重介紹人工智慧技術在解決複雜安全問題上的預測能力。本書既包含理論方面，也包含實踐方面的高速公路安全知識。每一章都以平易近人的語言介紹理論和相關背景，並提供多個實際案例。適合對高速公路安全和人工智慧感興趣的任何人，並為這一快速發展的研究趨勢提供了深入且易於理解的介紹。
本書的補充資料可在 https: //github.com/subasish/AI_in_HighwaySafety 找到。該網址提供了各種補充資料，包括數據集和 R 程式碼。
作者簡介
Subasish Das is an associate research scientist at the Texas A&M Transportation Institute (TTI) of the Texas A&M University System. He received his M.S. and Ph.D. in Civil Engineering from the University of Louisiana at Lafayette in 2012 and 2015 respectively. His primary fields of research interest are roadway safety, roadway design, and associated operational issues. He is a systems engineer by training with hands-on experience on Six Sigma and Lean Engineering. His major areas of expertise include database management, statistical analysis and machine learning with emphasis in safety and transportation operations, spatial analysis with modern web GIS tools, interactive data visualization, and deep learning tools for CV/AV technologies.
Dr. Das is the author or co-author of over 110 technical papers or research reports. The AASHTO Research Advisory Committee (RAC) awarded one of his research reports as 2014 AASHTO Sweet Sixteen High Value Research Project. He is an active member of ITE, APBP, and ASCE. He is an Eno Fellow. His other awards include 2018 TTI Young Researcher Awards, 2017 Urban Street Symposium Best Paper Award, 2014 and 2015 Gulf Region ITS Best Paper Award
作者簡介(中文翻譯)
Subasish Das是德克薩斯A＆M大學系統的德克薩斯A＆M交通研究所（TTI）的副研究科學家。他於2012年和2015年分別從路易斯安那大學拉斐特分校獲得土木工程碩士和博士學位。他的主要研究興趣包括道路安全、道路設計和相關的運營問題。他是一位系統工程師，具有六西格瑪和精益工程的實踐經驗。他的主要專業領域包括數據庫管理、統計分析和機器學習，重點是安全和交通運營、現代Web GIS工具的空間分析、互動數據可視化以及用於CV/AV技術的深度學習工具。
Das博士是超過110篇技術論文或研究報告的作者或合著者。美國州际公路和運輸官員協會（AASHTO）研究諮詢委員會（RAC）將他的一份研究報告評為2014年AASHTO Sweet Sixteen高價值研究項目。他是ITE、APBP和ASCE的活躍成員，也是Eno Fellow。他的其他獎項包括2018年TTI年輕研究者獎、2017年城市街道研討會最佳論文獎、2014年和2015年海灣地區ITS最佳論文獎。
