Autonomous Driving and Traffic Dynamics in Road Transportation
Elsevier - Health Sciences Division (Verlag)
978-0-443-33192-3 (ISBN)
- Noch nicht erschienen (ca. April 2026)
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Further sections covers shifts to autonomous driving systems, analyzing their operational principles and providing comparative evidence with human drivers. Assessments on the performance of traditional car-following models against artificial intelligence developments that highlight strengths and weaknesses for each approach are also included. Final sections integrate human drivers and AVs into broader traffic flow theories, presenting findings on how autonomous driving impacts traffic patterns, look at the role of AI and modeling, explore the pros and cons of various methods and data sources, and discuss real-world traffic management applications, combining AI and traditional models for traffic estimation, control, and ensuring fair, disruption-resilient outcomes.
Dr. Michail A. Makridis is the Deputy Director of the Traffic Engineering and Control group at ETH Zürich, Switzerland. Previously, he led the Transport and Traffic Engineering group at the Zurich University of Applied Sciences and was the scientific lead for the Traffic Modeling Group at the Joint Research Centre (JRC) of the European Commission (EC). He holds a Ph.D. in Computer Vision from Democritus University of Thrace, Greece. His research focuses on traffic flow, management, and control for Intelligent Transportation Systems involving Connected and Automated Vehicles. His work emphasizes data-driven, physics-informed modeling and AI to enhance sustainability, traffic efficiency, antifragile operations, and equitable transport networks. In 2022, he received the JRC Annual Award for Excellence in Research from the EC. He is an Associate Editor for the IEEE Open Journal of Intelligent Transportation Systems and serves on various scientific committees. Dr. Yifan Zhang is an Assistant Professor with the Department of Computer Science at the City University of Hong Kong (Dongguan), China. She completed a PhD in Computer Science at City University of Hong Kong in Summer 2022. Her major research interests lie in autonomous driving, microscopic traffic modeling, and intelligent transportation systems. Her previous work mainly covers human driving behavior modeling, motion planning of autonomous vehicles, trajectory prediction, and traffic prediction through leveraging multiple AI models, such as conditional variational autoencoder, convolutional neural networks, transformers, neural processes, and so on. These works are published in top AI conferences and transportation journals. She is also a reviewer of several A-tier transportation journals and computer science conferences.
1. Human drivers and traffic dynamics in road transport
2. Autonomous driving systems and how they operate
3. Humans, autonomous vehicles and traffic flow
4. Data observations and the role of AI in traffic flow modeling
5. Traffic management and traffic control with AD
| Erscheint lt. Verlag | 1.4.2026 |
|---|---|
| Verlagsort | Philadelphia |
| Sprache | englisch |
| Maße | 152 x 229 mm |
| Gewicht | 450 g |
| Themenwelt | Sachbuch/Ratgeber ► Natur / Technik ► Fahrzeuge / Flugzeuge / Schiffe |
| Technik ► Fahrzeugbau / Schiffbau | |
| ISBN-10 | 0-443-33192-8 / 0443331928 |
| ISBN-13 | 978-0-443-33192-3 / 9780443331923 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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