商品描述
This book provides a comprehensive understanding of accident data collection, analysis, and the use of surrogate safety measures (SSMs) from both vehicular and pedestrian perspectives. It discusses the application of simulation tools for surrogate safety analysis, with an emphasis on risk estimation and the integration of machine learning techniques. This book also explores the use of augmented and virtual reality for road user training and assessment, as well as safety concerns related to automated and connected vehicles. Field case studies offer a realistic view of on-site assessments, safety implications, and measures for safety enhancement.
- Explores surrogate safety methods in detail, including the identification of surrogate measures and their applications.
- Examines various SSMs, such as Post-Encroachment Time and Time-to-Collision, and identifies suitable SSMs for mixed traffic conditions, highlighting their strengths and weaknesses.
- Discusses international codes and standards at appropriate points in each chapter.
- Covers statistical methods, including Support Vector Machines, binary logit models, and ordered logit models, for estimating severity levels.
- Includes worked examples and numerical problems for practical understanding.
This book is intended for senior undergraduate and graduate students in road safety engineering, transportation, and civil engineering.
商品描述(中文翻譯)
這本書提供了對於事故數據收集、分析以及從車輛和行人角度使用替代安全措施（Surrogate Safety Measures, SSMs）的全面理解。它討論了模擬工具在替代安全分析中的應用，重點在於風險估算和機器學習技術的整合。本書還探討了擴增實境和虛擬實境在道路使用者訓練和評估中的應用，以及與自動化和連接車輛相關的安全問題。現場案例研究提供了對現場評估、安全影響和安全增強措施的現實觀點。
- 詳細探討替代安全方法，包括替代措施的識別及其應用。
- 檢視各種替代安全措施，如後侵入時間（Post-Encroachment Time）和碰撞時間（Time-to-Collision），並識別適合混合交通條件的替代安全措施，突顯其優缺點。
- 在每章的適當位置討論國際規範和標準。
- 涵蓋統計方法，包括支持向量機（Support Vector Machines）、二元邏輯模型（binary logit models）和有序邏輯模型（ordered logit models），用於估算嚴重程度。
- 包含實例和數值問題以促進實際理解。
本書適合於道路安全工程、交通運輸和土木工程的高年級本科生及研究生。
作者簡介
K.V.R. Ravi Shankar is working as Associate Professor in the Department of Civil Engineering, NIT Warangal, Telangana, India. Prof. Ravi Shankar received his Ph.D. from IIT Bombay in the year 2011. He is having 20 Years of Experience in the field of teaching and research. His research interests centre on Innovative road safety strategies, Machine learning application for traffic management and Road Safety, Pedestrian behavioural analysis and modelling, Crowd behaviour modelling. Prof. Ravi Shankar guided 08 Ph.D. thesis works and 04 more are in progress. He also guided 64 M.Tech. project works. He is the author of about 90 publications in leading international journals and conferences. He was awarded the Young Researcher [Engineering] Award in the year 2020 by NIT Warangal Alumni Association. He is a recipient of research grants from SPARC, Department of Science and Technology and MoRTH and has a collaboration with Lund University, Sweden and UNSW, Australia. He worked on consultancy projects related to development of toolkits, traffic management planning, Intersection design and Road safety improvement. He is a reviewer of several transportation related journals and a prominent invited expert on road safety related topics.
Bhadradri Raghuram Kadali, currently working as Assistant Professor, in the Department of Civil Engineering, at National Institute of Technology, Warangal (NITW). Prof. Raghuram obtained his PhD degree from the IIT Bombay in 2017 and Masters in Transportation Engineering from NIT Warangal. He has 8 years of teaching and research experience. He has guided 01 Ph.D., 20 M.Tech dissertations, 05 B.Tech project works, and currently 3 research scholars are pursuing their Ph.D. Dr. Raghuram has successfully completed three externally funded R&D projects as principal investigator and associated with another 2 projects as co-principal investigator. He is currently working in traffic safety, pedestrian travel behavior and transportation planning. He has published 50 papers in reputed journals and international conferences
作者簡介(中文翻譯)
K.V.R. Ravi Shankar 目前擔任印度特倫甘納邦 NIT Warangal 土木工程系的副教授。Ravi Shankar 教授於 2011 年在 IIT Bombay 獲得博士學位。他在教學和研究領域擁有 20 年的經驗。他的研究興趣集中在創新道路安全策略、機器學習在交通管理和道路安全中的應用、行人行為分析與建模以及人群行為建模。Ravi Shankar 教授指導了 8 篇博士論文，目前還有 4 篇在進行中。他還指導了 64 篇碩士專案。他在國際知名期刊和會議上發表了約 90 篇論文。2020 年，他獲得了 NIT Warangal 校友會頒發的青年研究者（工程）獎。他獲得了來自 SPARC、科學與技術部及 MoRTH 的研究資助，並與瑞典隆德大學和澳大利亞新南威爾士大學有合作關係。他參與了與工具包開發、交通管理規劃、交叉口設計和道路安全改善相關的顧問專案。他是多本交通相關期刊的審稿人，也是道路安全相關主題的知名受邀專家。
Bhadradri Raghuram Kadali 目前擔任 NIT Warangal（土木工程系）的助理教授。Raghuram 教授於 2017 年在 IIT Bombay 獲得博士學位，並在 NIT Warangal 獲得交通工程碩士學位。他擁有 8 年的教學和研究經驗。他指導了 1 篇博士論文、20 篇碩士論文、5 篇學士專案，目前有 3 位研究生正在攻讀博士學位。Raghuram 博士作為主要研究者成功完成了三個外部資助的研發專案，並作為共同主要研究者參與了另外 2 個專案。他目前的研究方向包括交通安全、行人旅行行為和交通規劃。他在知名期刊和國際會議上發表了 50 篇論文。
