Human Centric Intelligent Transportation Systems: Fundamentals, Applications, Analysis, and Challenges
暫譯: 以人為中心的智慧交通系統：基礎、應用、分析與挑戰
Tyagi, Amit Kumar
相關主題
商品描述
In the era rapid technological advancement, the transportation sector stands at the cusp of a transformative era. Human-Centric Intelligent Transportation Systems (HC-ITS) represent a significant leap forward, emphasizing the integration of human factors into the design, implementation, and operation of transportation networks. This book explores the multifaceted dimensions of HC-ITS, highlighting their potential to revolutionize transportation. The foundation of HC-ITS lies in recognizing the importance of human needs, behaviors, and safety. By prioritizing these elements, HC-ITS aims to create more efficient, accessible, and safer transportation environments. This approach not only enhances user experience but also fosters a sustainable and inclusive transportation ecosystem.
This book provides a detailed overview of HC-ITS, beginning with the fundamental principles that underpin this innovative approach. It then delves into the core concepts, exploring how user-centered design, human-machine interaction, and advanced data analytics converge to create intelligent transportation solutions. The practical applications of HC-ITS are vast and varied. The volume examines their implementation in smart traffic management, public transportation systems, autonomous vehicles, and initiatives aimed at improving pedestrian and cyclist safety. Through detailed case studies and real-world examples, it illustrates how HC-ITS are being deployed to address current transportation challenges and enhance the quality of urban life.
Key features:
- Explores fundamentals of human-centric ITS technologies comprehensively, including AI personalization and sensor fusion for user safety.
- Provides diverse applications of human-centric ITS, such as adaptive urban mobility and personalized routing.
- Provides an in-depth analysis of human-centric ITS performance metrics, like traffic flow optimization and accessibility.
- Includes real-world case studies, used for emission reductions currently.
- Reviews challenges and future directions of HC-ITS, focusing on privacy, equity, and multimodal integration.
商品描述(中文翻譯)
在快速技術進步的時代，交通運輸領域正處於一個變革的邊緣。以人為中心的智慧交通系統（Human-Centric Intelligent Transportation Systems, HC-ITS）代表了一個重要的進步，強調將人因因素整合進交通網絡的設計、實施和運營中。本書探討了HC-ITS的多面向維度，突顯其顛覆交通運輸的潛力。HC-ITS的基礎在於認識到人類需求、行為和安全的重要性。通過優先考慮這些元素，HC-ITS旨在創造更高效、可及且安全的交通環境。這種方法不僅提升了用戶體驗，還促進了一個可持續和包容的交通生態系統。
本書提供了HC-ITS的詳細概述，首先介紹支撐這一創新方法的基本原則。接著深入探討核心概念，探索以用戶為中心的設計、人機互動和先進數據分析如何交匯以創造智慧交通解決方案。HC-ITS的實際應用範圍廣泛且多樣。本書檢視了其在智慧交通管理、公共交通系統、自動駕駛車輛以及旨在改善行人和騎自行車者安全的倡議中的實施情況。通過詳細的案例研究和現實世界的例子，說明了HC-ITS如何被部署以應對當前交通挑戰並提升城市生活質量。
主要特點：
- 全面探討以人為中心的智慧交通系統技術的基本原理，包括AI個性化和用戶安全的傳感器融合。
- 提供以人為中心的智慧交通系統的多樣化應用，如自適應城市移動性和個性化路徑規劃。
- 對以人為中心的智慧交通系統性能指標進行深入分析，如交通流量優化和可及性。
- 包含現實世界的案例研究，當前用於減少排放。
- 回顧HC-ITS的挑戰和未來方向，重點關注隱私、公平性和多模式整合。
作者簡介
Amit Kumar Tyagi has a PhD from Pondicherry Central University, Puducherry, India. He is presently working as an Assistant Professor at National Forensic Sciences University, Gandhinagar, India. Prior to this he was as an assistant professor at several institutes like Lord Krishna College of Engineering, Ghaziabad (LKCE) (for the periods of 2009-2010, and 2012-2013, Lingaya's Vidyapeeth (formerly known as Lingaya's University), Faridabad (2018-2019), VIT Chennai (2019-2022) and NIFT New Delhi (2022-2025). His supervision experience includes more than 10 Masters' dissertations and one PhD thesis. He has contributed to several projects such as "AARIN" and "P3- Block" to address some of the open issues related to the privacy breaches in Vehicular Applications like parking and Medical Cyber Physical Systems. His research focuses on Next Generation Machine Based Communications, Blockchain Technology, Smart and Secure Computing and Privacy. He is a regular member of the ACM, MIRLabs, Ramanujan Mathematical Society, Cryptology Research Society, and Universal Scientific Education and Research Network, and ISTE. He is a senior member of IEEE.
作者簡介(中文翻譯)
Amit Kumar Tyagi 擁有印度普德區的龐迪榭里中央大學的博士學位。目前，他在印度甘地納格的國立法醫科學大學擔任助理教授。在此之前，他曾在多所學院擔任助理教授，包括加茲亞巴德的克里希納工程學院 (Lord Krishna College of Engineering, Ghaziabad)（2009-2010年及2012-2013年）、法里達巴德的林蓋亞大學 (Lingaya's Vidyapeeth，前身為林蓋亞大學)（2018-2019年）、金奈的維特大學 (VIT Chennai)（2019-2022年）及新德里的國立服裝技術學院 (NIFT New Delhi)（2022-2025年）。他的指導經驗包括超過10篇碩士論文和一篇博士論文。他參與了多個項目，如「AARIN」和「P3-Block」，以解決與車輛應用（如停車和醫療網路物理系統）相關的隱私洩露問題。他的研究重點包括下一代基於機器的通訊、區塊鏈技術、智慧安全計算和隱私。他是ACM、MIRLabs、拉馬努詹數學學會、密碼學研究學會、全球科學教育與研究網絡及ISTE的正式成員，並且是IEEE的資深會員。
