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.

Field Test of Monitoring of Urban Vehicle Operations Using Non-instrusive Technologies
Field Test of Monitoring of Urban Vehicle Operations Using Non-instrusive Technologies

Author: Jim Kranig

Publisher:

Published: 1997

Total Pages: 284

ISBN-13:

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This report documents the activities and results of a test of non- intrusive traffic detection technologies. Seventeen devices representing eight different technologies were evaluated in varying environmental and traffic conditions. The following technologies were tested: passive infrared, active infrared, magnetic, radar, doppler microwave, pulse ultrasonic, passive acoustic, and video. Testing was done at both freeway and intersection locations. Emphasis was placed on urban traffic conditions and locations that typify temporary counting locations. The evaluation also focused on the ease of system setup and use, general system reliability, and system flexibility.

Traffic Simulation and Data
Traffic Simulation and Data

Author: Winnie Daamen

Publisher: CRC Press

Published: 2014-09-17

Total Pages: 261

ISBN-13: 1482228718

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A single source of information for researchers and professionals, Traffic Simulation and Data: Validation Methods and Applications offers a complete overview of traffic data collection, state estimation, calibration and validation for traffic modelling and simulation. It derives from the Multitude Project-a European Cost Action project that incorpo

Road Traffic Modeling and Management
Road Traffic Modeling and Management

Author: Fouzi Harrou

Publisher: Elsevier

Published: 2021-10-05

Total Pages: 270

ISBN-13: 0128234334

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Road Traffic Modeling and Management: Using Statistical Monitoring and Deep Learning provides a framework for understanding and enhancing road traffic monitoring and management. The book examines commonly used traffic analysis methodologies as well the emerging methods that use deep learning methods. Other sections discuss how to understand statistical models and machine learning algorithms and how to apply them to traffic modeling, estimation, forecasting and traffic congestion monitoring. Providing both a theoretical framework along with practical technical solutions, this book is ideal for researchers and practitioners who want to improve the performance of intelligent transportation systems. - Provides integrated, up-to-date and complete coverage of the key components for intelligent transportation systems: traffic modeling, forecasting, estimation and monitoring - Uses methods based on video and time series data for traffic modeling and forecasting - Includes case studies, key processes guidance and comparisons of different methodologies

Vehicle Detector Evaluation
Vehicle Detector Evaluation

Author: Dan Middleton

Publisher:

Published: 2002

Total Pages: 174

ISBN-13:

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Most vehicle detection today relies on inductive loop detectors. However, problems with installation and maintenance of these detectors have necessitated evaluation of alternative detection systems. Replacing loops with better detectors requires a thorough evaluation of the alternatives. This research included examination of the performance characteristics, reliability, and cost of these technologies. The detection technologies included in this study were: video image detection, radar, Doppler microwave, passive acoustic, and a system based on inductive loops. Research results clearly indicate promising non-intrusive alternatives to loops, but their limitations must be understood. This research solicited information from a variety of agencies pertaining to installation and use of non-intrusive technologies and conducted field tests on a high volume freeway to determine their suitability for implementation. Findings indicate that non-intrusive detectors have improved since recent detector research sponsored by the Texas Department of Transportation. Count accuracies of 95% and speed accuracies within 5 mph of true values are common during free-flow conditions. During slower congested flow traffic, all non-intrusive device count accuracies degraded to the range of 70 to 90%, and most speed accuracies worsened as well--differing by 10 to 30 mph from the baseline system.

Intelligent Computing Methodologies
Intelligent Computing Methodologies

Author: De-Shuang Huang

Publisher: Springer

Published: 2014-07-05

Total Pages: 883

ISBN-13: 3319093398

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This book – in conjunction with the volumes LNCS 8588 and LNBI 8590 – constitutes the refereed proceedings of the 10th International Conference on Intelligent Computing, ICIC 2014, held in Taiyuan, China, in August 2014. The 85 papers of this volume were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections such as soft computing; artificial bee colony algorithms; unsupervised learning; kernel methods and supporting vector machines; machine learning; fuzzy theory and algorithms; image processing; intelligent computing in computer vision; intelligent computing in communication networks; intelligent image/document retrievals; intelligent data analysis and prediction; intelligent agent and Web applications; intelligent fault diagnosis; knowledge representation/reasoning; knowledge discovery and data mining; natural language processing and computational linguistics; next gen sequencing and metagenomics; intelligent computing in scheduling and engineering optimization; advanced modeling, control and optimization techniques for complex engineering systems; complex networks and their applications; time series forecasting and analysis using artificial neural networks; computer human interaction using multiple visual cues and intelligent computing; biometric system and security for intelligent computing.

Intelligent Systems Design and Applications
Intelligent Systems Design and Applications

Author: Ajith Abraham

Publisher: Springer

Published: 2019-04-13

Total Pages: 1135

ISBN-13: 3030166600

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This book highlights recent research on Intelligent Systems and Nature Inspired Computing. It presents 212 selected papers from the 18th International Conference on Intelligent Systems Design and Applications (ISDA 2018) and the 10th World Congress on Nature and Biologically Inspired Computing (NaBIC), which was held at VIT University, India. ISDA-NaBIC 2018 was a premier conference in the field of Computational Intelligence and brought together researchers, engineers and practitioners whose work involved intelligent systems and their applications in industry and the “real world.” Including contributions by authors from over 40 countries, the book offers a valuable reference guide for all researchers, students and practitioners in the fields of Computer Science and Engineering.