博客來-Examines the operating conditions and emissions of urban city buses, providing insights into their environmental impact and potential for improvement.
-Presents different artificial neural network (ANN) models for predicting hourly traffic flow, which can aid in traffic management and planning.
-Describes local and global iterative algorithms for real-time short-term traffic flow prediction, which can help improve traffic flow and reduce congestion.
-Discusses computer vision techniques for background modeling in urban traffic monitoring, providing an overview of how technology can aid in traffic monitoring and management.
-Discusses dynamic modeling and simulation of electrochemical energy systems for electric vehicles, which can aid in the development of more efficient and effective electric vehicles.
-Covers the control of electric vehicles, providing an overview of the various control systems and their potential for improving vehicle performance and efficiency.
-This book targets a wide audience of students, researchers and academics in the fields of transportation engineering, mechanical engineering, electrical engineering, and city planners, traffic engineers, and policymakers environmental science who are interested in the development of more sustainable transportation systems.
