Monitoring and Control Methodologies for Real-time Traffic Management

Monitoring and Control Methodologies for Real-time Traffic Management

Author: Dung Le Doan

Publisher:

Published: 2000

Total Pages: 322

ISBN-13:

DOWNLOAD EBOOK

The methodologies for the control process were tested computationally on a corridor network in a simulated environment. The results indicated that the control methodologies introduced in this dissertation can effectively improve the network performance under various scenarios of system disturbances and uncertainties.


Highway Traffic Monitoring and Data Quality

Highway Traffic Monitoring and Data Quality

Author: Michael Dalgleish

Publisher: Artech House

Published: 2008

Total Pages: 263

ISBN-13: 1580537162

DOWNLOAD EBOOK

This unique resource gives you a hands-on understanding of the latest sensors, processors, and communication links for everything from vehicle counts to urban congestion measurement. Moreover, you learn statistical techniques for quantifying data accuracy and reducing uncertainty in both current system state assessments and future system state forecasts.


Artificial Intelligence Applications to Traffic Engineering

Artificial Intelligence Applications to Traffic Engineering

Author: Maurizio Bielli

Publisher: VSP

Published: 1994-05

Total Pages: 340

ISBN-13: 9789067641715

DOWNLOAD EBOOK

In recent years the applications of advanced information technologies in the field of transportation have affected both road infrastructures and vehicle technologies. The development of advanced transport telematics systems and the implementation of a new generation of technological options in the transport environment have had a significant impact on improved traffic management, efficiency and safety. This volume contains contributions from scientific and academic centres which have been active in this field of research and provides an overview of applications of AI technology in the field of traffic control and management. The topics covered are: -- current status of AI in transport -- AI applications in traffic engineering -- in-vehicle AI


Traffic Control Systems Handbook

Traffic Control Systems Handbook

Author:

Publisher:

Published: 1976

Total Pages: 676

ISBN-13:

DOWNLOAD EBOOK

This handbook, which was developed in recognition of the need for the compilation and dissemination of information on advanced traffic control systems, presents the basic principles for the planning, design, and implementation of such systems for urban streets and freeways. The presentation concept and organization of this handbook is developed from the viewpoint of systems engineering. Traffic control studies are described, and traffic control and surveillance concepts are reviewed. Hardware components are outlined, and computer concepts, and communication concepts are stated. Local and central controllers are described, as well as display, television and driver information systems. Available systems technology and candidate system definition, evaluation and implementation are also covered. The management of traffic control systems is discussed.


Traffic Monitoring Guide

Traffic Monitoring Guide

Author: United States. Federal Highway Administration. Office of Highway Information Management

Publisher:

Published: 1995

Total Pages: 220

ISBN-13:

DOWNLOAD EBOOK

This guide is designed to provide direction on the monitoring of traffic characteristics. It begins with a discussion of the structure of traffic characteristics monitoring and traffic counting. The next two sections cover vehicle classification and truck weighing. The last section presents the coordinated record formats for station identification, traffic volume, vehicle classification, and truck weight data.


Artificial Intelligence for Traffic Monitoring and Management

Artificial Intelligence for Traffic Monitoring and Management

Author: Nikita Aggarwal

Publisher:

Published: 2021

Total Pages: 0

ISBN-13:

DOWNLOAD EBOOK

In our research, we further develop our end to end system that processes video streams in real-time using deep learning, pattern recognition and many other methodologies to monitor and count pedestrians in road traffic environments. The developed AI system uses regular traffic cameras coming from the city of Los Angeles to control and analyze real-time traffic videos with greater focus on pedestrian traffic.There are a number of challenges presented when using these traffic cameras such as trajectory misgeneration and pedestrian misclassification. The objective is to fine-tune our pedestrian tracking and trajectory prediction to monitor pedestrian traffic and observe their travelling patterns. We also propose a transfer learning-based model to improve pedestrian recognition and expand its capability to identify more traffic-related objects. The system introduces a new lane detection feature to better manage traffic flow and gain more information of a vehicle's position and direction of movement.California State University, Los Angeles has partnered with leading industry clients the City of Los Angeles, the Los Angeles Department of Transportation (LADOT), California Department of Transportation (CalTrans), and Toyota Mobility Foundation to develop this highly advanced, modern system for real-time monitoring, tracking and counting of pedestrians.


Data Traffic Monitoring and Analysis

Data Traffic Monitoring and Analysis

Author: Ernst Biersack

Publisher: Springer

Published: 2013-03-02

Total Pages: 370

ISBN-13: 3642367844

DOWNLOAD EBOOK

This book was prepared as the Final Publication of COST Action IC0703 "Data Traffic Monitoring and Analysis: theory, techniques, tools and applications for the future networks". It contains 14 chapters which demonstrate the results, quality,and the impact of European research in the field of TMA in line with the scientific objective of the Action. The book is structured into three parts: network and topology measurement and modelling, traffic classification and anomaly detection, quality of experience.