Data Analytics and Machine Learning for Integrated Corridor Management
暫譯: 整合走廊管理的數據分析與機器學習

本書帶領讀者探索當代交通系統的複雜網絡，提供對於塑造城市景觀中人員和貨物移動的策略、技術和方法論的無與倫比的見解。

Yashaswi Karnati is a computer scientist with expertise in machine learning, computer vision and intelligent transportation systems. Having completed a PhD in Computer Science from the University of Florida, he has embarked on a career that sits at the intersection of academic excellence and industry innovation. He is currently working with NVIDIA Corporation, focusing on the development of digital twin technologies.

Dhruv Mahajan completed his Ph.D. from the Department of Computer & Information Science & Engineering, University of Florida in May 2021. He is currently working on advancing Privacy Preserving Machine Learning techniques at Procter & Gamble.

Tania Banerjee serves as a Research Assistant Scientist within the Department of Computer & Information Science & Engineering at the University of Florida. Her research interests are in the area

Rahul Sengupta is a Ph.D. student at the Computer and Information Science Department at the University of Florida, Gainesville, USA. His research interests include applying Machine Learning models to sequential and time-series data, especially in the field of transportation engineering.

Clay Packard is a principal software and systems engineer at HNTB with a focus in transportation technology. Clay provides technical leadership in systems planning, program and project development, and providing subject matter expertise to transportation agencies.

Ryan Casburn, a traffic engineer with over five years of experience, boasts a lifelong passion for optimizing transportation systems. Fascinated by the dynamic interactions within these systems, he specializes in crafting practical solutions based on real-world behaviors rather than purely theoretical models. His diverse project portfolio spans microsimulation, signal retiming, and transportation planning, software development of user-friendly transportation analysis tools. Ryan's expertise and dedication make him a valuable asset in the realm of traffic engineering and integrated corridor management.

Anand Rangarajan is Professor, Dept. of CISE, University of Florida. His research interests are machine learning, computer vision, medical and hyperspectral imaging and the science of consciousness.

Jeremy Dilmore is the Transportation Systems Management and Operation Engineer for the Florida Department of Transportation District 5. He has 19 years of experience with the Department, with 13 of those years in Intelligent Transportation Systems and/or Transportation Systems Management and Operations. In this position he is responsible for leadingFDOTDistrict 5's technology efforts including working in the fields of signal timing optimization, managed lanes, simulation modeling, and connected and autonomous vehicles.

Sanjay Ranka is a Distinguished Professor in the Department of Computer Information Science and Engineering at University of Florida. His current research interests are high performance computing and big data science with a focus on applications in CFD, healthcare and transportation. He has co-authored four books, 290+ journal and refereed conference articles. He is a Fellow of the IEEE and AAAS. He is an Associate Editor-in-Chief of the Journal of Parallel and Distributed Computing and an Associate Editor for ACM Computing Surveys, Applied Sciences, Applied Intelligence, IEEE/ACM Transactions on Computational Biology and Bioinformatics

**Yashaswi Karnati** 是一位計算機科學家，專長於機器學習、計算機視覺和智慧交通系統。他在佛羅里達大學獲得計算機科學博士學位後，開始了在學術卓越與產業創新交匯處的職業生涯。目前，他在 NVIDIA Corporation 工作，專注於數位雙胞胎技術的開發。

**Dhruv Mahajan** 於2021年5月在佛羅里達大學計算機與資訊科學與工程系獲得博士學位。他目前在寶潔公司（Procter & Gamble）從事隱私保護機器學習技術的研究。

**Tania Banerjee** 擔任佛羅里達大學計算機與資訊科學與工程系的研究助理科學家。她的研究興趣在於該領域。

**Rahul Sengupta** 是佛羅里達大學計算機與資訊科學系的博士生。他的研究興趣包括將機器學習模型應用於序列和時間序列數據，特別是在交通工程領域。

**Clay Packard** 是 HNTB 的首席軟體和系統工程師，專注於交通技術。Clay 在系統規劃、計畫和項目開發方面提供技術領導，並為交通機構提供專業知識。

**Ryan Casburn** 是一位擁有超過五年經驗的交通工程師，對優化交通系統充滿熱情。他對這些系統內部的動態互動感到著迷，專注於根據現實世界行為而非純理論模型來制定實用解決方案。他的多樣化項目組合涵蓋微模擬、信號重定時和交通規劃，以及用戶友好的交通分析工具的軟體開發。Ryan 的專業知識和奉獻精神使他成為交通工程和綜合走廊管理領域的寶貴資產。

**Anand Rangarajan** 是佛羅里達大學計算機資訊科學與工程系的教授。他的研究興趣包括機器學習、計算機視覺、醫療和高光譜成像以及意識科學。

**Jeremy Dilmore** 是佛羅里達州交通部第五區的交通系統管理與運營工程師。他在該部門擁有19年的經驗，其中13年專注於智慧交通系統和/或交通系統管理與運營。在這個職位上，他負責領導佛羅里達州交通部第五區的技術工作，包括信號時序優化、管理車道、模擬建模以及連接和自動駕駛車輛的相關工作。

**Sanjay Ranka** 是佛羅里達大學計算機資訊科學與工程系的特聘教授。他目前的研究興趣是高效能計算和大數據科學，專注於計算流體力學（CFD）、醫療保健和交通的應用。他共同撰寫了四本書籍，發表了290多篇期刊和經過審核的會議文章。他是 IEEE 和 AAAS 的會士，並擔任《平行與分佈計算期刊》的副主編，以及 ACM Computing Surveys、Applied Sciences、Applied Intelligence、IEEE/ACM Transactions on Computational Biology and Bioinformatics 的副編輯。