ITS Sensors and Architectures for Traffic Management and Connected Vehicles

ITS Sensors and Architectures for Traffic Management and Connected Vehicles

Author: Lawrence A. Klein

Publisher: CRC Press

Published: 2017-08-07

Total Pages: 574

ISBN-13: 1351800973

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An intelligent transportation system (ITS) offers considerable opportunities for increasing the safety, efficiency, and predictability of traffic flow and reducing vehicle emissions. Sensors (or detectors) enable the effective gathering of arterial and controlled-access highway information in support of automatic incident detection, active transportation and demand management, traffic-adaptive signal control, and ramp and freeway metering and dispatching of emergency response providers. As traffic flow sensors are integrated with big data sources such as connected and cooperative vehicles, and cell phones and other Bluetooth-enabled devices, more accurate and timely traffic flow information can be obtained. The book examines the roles of traffic management centers that serve cities, counties, and other regions, and the collocation issues that ensue when multiple agencies share the same space. It describes sensor applications and data requirements for several ITS strategies; sensor technologies; sensor installation, initialization, and field-testing procedures; and alternate sources of traffic flow data. The book addresses concerns related to the introduction of automated and connected vehicles, and the benefits that systems engineering and national ITS architectures in the US, Europe, Japan, and elsewhere bring to ITS. Sensor and data fusion benefits to traffic management are described, while the Bayesian and Dempster–Shafer approaches to data fusion are discussed in more detail. ITS Sensors and Architectures for Traffic Management and Connected Vehicles suits the needs of personnel in transportation institutes and highway agencies, and students in undergraduate or graduate transportation engineering courses.


Data Analytics for Intelligent Transportation Systems

Data Analytics for Intelligent Transportation Systems

Author: Mashrur Chowdhury

Publisher: Elsevier

Published: 2024-11-02

Total Pages: 572

ISBN-13: 0443138796

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Data Analytics for Intelligent Transportation Systems provides in-depth coverage of data-enabled methods for analyzing intelligent transportation systems (ITS), including the tools needed to implement these methods using big data analytics and other computing techniques. The book examines the major characteristics of connected transportation systems, along with the fundamental concepts of how to analyze the data they produce. It explores collecting, archiving, processing, and distributing the data, designing data infrastructures, data management and delivery systems, and the required hardware and software technologies. It presents extensive coverage of existing and forthcoming intelligent transportation systems and data analytics technologies. All fundamentals/concepts presented in this book are explained in the context of ITS. Users will learn everything from the basics of different ITS data types and characteristics to how to evaluate alternative data analytics for different ITS applications. They will discover how to design effective data visualizations, tactics on the planning process, and how to evaluate alternative data analytics for different connected transportation applications, along with key safety and environmental applications for both commercial and passenger vehicles, data privacy and security issues, and the role of social media data in traffic planning. Data Analytics for Intelligent Transportation Systems will prepare an educated ITS workforce and tool builders to make the vision for safe, reliable, and environmentally sustainable intelligent transportation systems a reality. It serves as a primary or supplemental textbook for upper-level undergraduate and graduate ITS courses and a valuable reference for ITS practitioners. - Utilizes real ITS examples to facilitate a quicker grasp of materials presented - Contains contributors from both leading academic and commercial domains - Explains how to design effective data visualizations, tactics on the planning process, and how to evaluate alternative data analytics for different connected transportation applications - Includes exercise problems in each chapter to help readers apply and master the learned fundamentals, concepts, and techniques - New to the second edition: Two new chapters on Quantum Computing in Data Analytics and Society and Environment in ITS Data Analytics


ITS Sensors and Architectures for Traffic Management and Connected Vehicles

ITS Sensors and Architectures for Traffic Management and Connected Vehicles

Author: Lawrence A. Klein

Publisher: CRC Press

Published: 2017-08-07

Total Pages: 518

ISBN-13: 1351800965

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An intelligent transportation system (ITS) offers considerable opportunities for increasing the safety, efficiency, and predictability of traffic flow and reducing vehicle emissions. Sensors (or detectors) enable the effective gathering of arterial and controlled-access highway information in support of automatic incident detection, active transportation and demand management, traffic-adaptive signal control, and ramp and freeway metering and dispatching of emergency response providers. As traffic flow sensors are integrated with big data sources such as connected and cooperative vehicles, and cell phones and other Bluetooth-enabled devices, more accurate and timely traffic flow information can be obtained. The book examines the roles of traffic management centers that serve cities, counties, and other regions, and the collocation issues that ensue when multiple agencies share the same space. It describes sensor applications and data requirements for several ITS strategies; sensor technologies; sensor installation, initialization, and field-testing procedures; and alternate sources of traffic flow data. The book addresses concerns related to the introduction of automated and connected vehicles, and the benefits that systems engineering and national ITS architectures in the US, Europe, Japan, and elsewhere bring to ITS. Sensor and data fusion benefits to traffic management are described, while the Bayesian and Dempster–Shafer approaches to data fusion are discussed in more detail. ITS Sensors and Architectures for Traffic Management and Connected Vehicles suits the needs of personnel in transportation institutes and highway agencies, and students in undergraduate or graduate transportation engineering courses.


Intelligent Transport Systems

Intelligent Transport Systems

Author: Asier Perallos

Publisher: John Wiley & Sons

Published: 2015-12-14

Total Pages: 375

ISBN-13: 1118894782

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INTELLIGENT TRANSPORT SYSTEMS TECHNOLOGIES AND APPLICATIONS This book provides a systematic overview of Intelligent Transportation Systems (ITS), offering an insight into the reference architectures developed within the main research projects. It delves into each of the layers of such architectures, from physical to application layer, describing the technological issues which are being currently faced by some of the most important ITS research groups. The book concludes with some end-user services and applications deployed by industrial partners. The book is a well-balanced combination of academic contributions and industrial applications in the field of Intelligent Transportation Systems. It includes the most representative technologies and research results achieved by some of the most relevant research groups working on ITS, collated to show the chances of generating industrial solutions to be deployed in real transportation environments.


Intelligent Transportation Related Complex Systems and Sensors

Intelligent Transportation Related Complex Systems and Sensors

Author: Kyandoghere Kyamakya

Publisher: MDPI

Published: 2021-09-01

Total Pages: 494

ISBN-13: 3036508481

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Building around innovative services related to different modes of transport and traffic management, intelligent transport systems (ITS) are being widely adopted worldwide to improve the efficiency and safety of the transportation system. They enable users to be better informed and make safer, more coordinated, and smarter decisions on the use of transport networks. Current ITSs are complex systems, made up of several components/sub-systems characterized by time-dependent interactions among themselves. Some examples of these transportation-related complex systems include: road traffic sensors, autonomous/automated cars, smart cities, smart sensors, virtual sensors, traffic control systems, smart roads, logistics systems, smart mobility systems, and many others that are emerging from niche areas. The efficient operation of these complex systems requires: i) efficient solutions to the issues of sensors/actuators used to capture and control the physical parameters of these systems, as well as the quality of data collected from these systems; ii) tackling complexities using simulations and analytical modelling techniques; and iii) applying optimization techniques to improve the performance of these systems.


Automotive Sensors

Automotive Sensors

Author: John Turner

Publisher: Momentum Press

Published: 2009

Total Pages: 278

ISBN-13: 1606500090

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This book will help engineers, technicians, and designers to better understand a wide range of sensors, from those based on piezoelectric phenomena through those for thermal and flow measurement to the directional sensors that can inform the driver of his orientation on the road. Author John Turner, concludes his book with future trends in use of telematic sensing systems for traffic control and traffic automation.


Wireless Sensor Networks

Wireless Sensor Networks

Author: Ibrahiem M. M. El Emary

Publisher: CRC Press

Published: 2013-08-28

Total Pages: 776

ISBN-13: 1466518111

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Supplying comprehensive coverage of WSNs, this book covers the latest advances in WSN technologies. It considers some of theoretical problems in WSN, including issues with monitoring, routing, and power control, and details methodologies that can provide solutions to these problems. It examines applications of WSN across a range of fields, including health, defense military, transportation, and mining. Addressing the main challenges in applying WSNs across all phases of our life, it explains how WSNs can assist in community development.


Instrumentation, Control and Automation of Water and Wastewater Treatment and Transport Systems 1993

Instrumentation, Control and Automation of Water and Wastewater Treatment and Transport Systems 1993

Author: B. Jank

Publisher: Elsevier

Published: 2016-06-06

Total Pages: 598

ISBN-13: 1483105636

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Instrumentation, Control and Automation of Water and Wastewater Treatment and Transport Systems 1993 comprises a selection of manuscripts on the development of control strategies and their applications and on the status and future directions of Instrumentation, Control, and Automation (ICA) in the water and wastewater industry. The book starts by providing an overview of the status, the constraints and the future prospects for ICA in water and wastewater treatment and transport based on the survey responses of experts from 16 different countries. The text continues by presenting the need for dynamic modeling and simulation software to assist operations staff in developing effective instrumentation control strategies and to provide a training environment for the evaluation of such strategies. The book also covers the critical variables in system success; the use of an enterprise-wide computing that emphasizes the importance of strategic planning, performance measures, and human factors associated with the suggested implementation of applied technology; and the use of part-time unmanned operation at a large wastewater treatment plant. A functional approach based on the utility's water and wastewater functional requirements; the collection system monitoring and control; water distribution and control systems; dynamic modeling and simulation; and process control strategy and development are also considered. This book will be beneficial to biochemists, wastewater technologists, and public health authorities.