This book gathers selected papers presented at the KES International Symposium on Smart Transportation Systems (KES STS 2025). Modern transportation systems have undergone a rapid transformation in recent years, producing a range of technological innovations such as connected vehicles, self-driving cars, electric vehicles, Hyperloop, and even flying cars, and with them, fundamental changes in transport systems around the world. The book discusses current challenges, innovations, and breakthroughs in smart transportation systems, as well as transport infrastructure modeling, safety analysis, freeway operations, intersection analysis, and other related cutting-edge topics.

Presents research works in the field of smart transportation systems Provides original works presented at KES-STS 2025 held in Solin, Croatia Serves as a reference for researchers and practitioners in academia and industry

Autorentext

Kun Gao is an Associate Professor in the research leader of the Urban Mobility Systems research group, Department of Architecture and Civil Engineering at Chalmers University of Technology. His research works on promoting sustainable mobility with a focus on electrification, shared mobility, and connected automation. Special interests are attached to establishing new approaches and tools for system planning, optimization and evaluation of emerging transport systems leveraging big data and machine learning. He has published 50+ peer-reviewed journal articles in the field of connected and automated vehicles, smart and intelligent transportation in leading journals.

Yang Liu is an Associate Research Professor at the School of Vehicle and Mobility, Tsinghua University. He is a recipient of the National High-Level Young Talents Program and a Marie Curie Fellow of the European Union. He has published over 40 papers as first/corresponding author, with more than 1,900 Google Scholar citations and 4 ESI Highly Cited Papers. His academic achievements include Honorable Mention of the COTA Best Dissertation Award, and IEEE ITSM Outstanding Research Paper High Commendation Award. He has led several research projects funded by the National Natural Science Foundation of China, European Commission, and Swedish Innovation Agency. He serves as an Editorial Board Member of Transportation Research Part E, Associate Editor of IEEE Transactions on Intelligent Vehicles, and Editorial Director of Communications in Transportation Research.

Chuanyun Fu is an Associate Professor and a doctoral supervisor at Harbin Institute of Technology, Harbin, China. Dr. Fu was a postdoctoral research fellow at University of British Columbia, Vancouver, Canada from 2019-2024. He successively obtained his B.S., M.S., and Ph.D. degrees of transportation engineering from Harbin Institute of Technology. He worked an assistant professor at Southwest Jiaotong University, Chengdu, China. As a principal investigator, Dr. Fu has worked on 12 traffic safety-related research projects, including the National Natural Science Foundation of China and the China Postdoctoral Science Foundations. He has published more than 100 peer-reviewed papers (e.g., AMAR and AAP). His research interests cover real-time safety analysis, autonomous driving safety evaluation, traffic behavior analysis and modeling, and advanced statistical modeling.

Dr. Robert Howlett is the Executive Chair of KES International, a non-profit organization that facilitates knowledge transfer and the dissemination of research results in areas including Intelligent Systems, Sustainability, and Knowledge Transfer. He is a Visiting Professor at Bournemouth University in the UK. His technical expertise is in the use of intelligent systems to solve industrial problems. He has been successful in applying artificial intelligence, machine learning and related technologies to sustainability and renewable energy systems; condition monitoring, diagnostic tools and systems; and automotive electronics and engine management systems. His current research work is focussed on the use of smart microgrids to achieve reduced energy costs and lower carbon emissions in areas such as housing and protected horticulture.

Dr. Lakhmi C. Jain, PhD, ME, BE(Hons), Fellow (Engineers Australia) is with the University of Technology Sydney, Australia, and Liverpool Hope University, UK. Professor Jain serves the KES International for providing a professional community the opportunities for publications, knowledge exchange, cooperation and teaming. Involving around 5,000 researchers drawn from universities and companies world-wide, KES facilitates international cooperation and generate synergy in teaching and research. KES regularly provides networking opportunities for professional community through one of the largest conferences of its kind in KES.

Inhalt

Framework of Driving Scenario Library Generation for Complex Road Conditions.- A Short Term Traffic State Prediction Method Integrating Fuzzy C Means Clustering and Deep Learning.- Methodology for Detecting Feature Availability Focusing on Sensor Degradation.- Intelligent Traffic Signal Control via Multimodal Data Fusion and Deep Reinforcement Learning.- Signal free Intersection Coordination for Connected and Automated Vehicles A Review,- Optimal Layout of Modular Bus Lines in Urban Arterial Corridor.