Present Approach to Traffic Flow Theory and Research in Civil and Transportation Engineering

This book provides valuable tips for making decisions related to traffic flow in transport networks, with a focus on practical examples and decision support systems. It is addressed to local authorities, business and industry representatives, and scientists and researchers, offering advanced approaches to problem-solving and facilitating the selection of appropriate strategies.

Format: Paperback / softback
Length: 202 pages
Publication date: 05 January 2023
Publisher: Springer Nature Switzerland AG

This comprehensive book offers a wealth of valuable insights and practical tips for making informed decisions related to traffic flow within transport networks. The extensive knowledge base, enriched with real-world practical examples and comprehensive decision support systems, resonates with individuals who daily confront the challenges of navigating contemporary transport networks and systems. Recognizing the importance of this subject, the publication is specifically tailored to local authorities involved in planning and developing development strategies for specific areas related to transport, encompassing both urban and regional dimensions. It also serves as a valuable resource for representatives of business and industry, as they are directly involved in implementing traffic engineering solutions.

Within the pages of this publication, readers are presented with a series of concise and insightful tips that enable them to approach complex problems with a heightened level of sophistication. These tips facilitate the selection of appropriate strategies, particularly in areas such as evaluating the benefits of BEV and FCHEV electric vehicles in creating sustainable transport systems, developing ecological public transport on the example of selected cities, and understanding the impact of drivers' waiting time on gap acceptance at median, uncontrolled T-intersections.

Furthermore, the book's innovative approach to theoretical models, encompassing the application of genetic algorithms for urban rail transportation system planning, comprehensive estimation of life cycle costs of new technical systems using reliability verification algorithms, and the exploration and comparison of machine learning algorithms in traffic signal prediction, captivates scientists and researchers actively engaged in research within this field.

By presenting a holistic and interdisciplinary perspective, this book serves as a valuable resource for professionals, policymakers, and researchers seeking to enhance the efficiency, sustainability, and safety of transport networks. Its practical insights and theoretical foundations contribute to the advancement of knowledge and the development of effective solutions for the complex challenges faced by modern transportation systems.

Weight: 338g
Dimension: 235 x 155 (mm)
ISBN-13: 9783030933722
Edition number: 1st ed. 2022