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

Computational Science and Its Applications - ICCSA 2005
Computational Science and Its Applications - ICCSA 2005

Author: Osvaldo Gervasi

Publisher: Springer

Published: 2005-05-02

Total Pages: 1380

ISBN-13: 354032044X

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The four volume set assembled following The 2005 International Conference on Computational Science and its Applications, ICCSA 2005, held in Suntec International Convention and Exhibition Centre, Singapore, from 9 May 2005 till 12 May 2005, represents the ?ne collection of 540 refereed papers selected from nearly 2,700 submissions. Computational Science has ?rmly established itself as a vital part of many scienti?c investigations, a?ecting researchers and practitioners in areas ranging from applications such as aerospace and automotive, to emerging technologies such as bioinformatics and nanotechnologies, to core disciplines such as ma- ematics, physics, and chemistry. Due to the shear size of many challenges in computational science, the use of supercomputing, parallel processing, and - phisticated algorithms is inevitable and becomes a part of fundamental t- oretical research as well as endeavors in emerging ?elds. Together, these far reaching scienti?c areas contribute to shape this Conference in the realms of state-of-the-art computational science research and applications, encompassing the facilitating theoretical foundations and the innovative applications of such results in other areas.

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

Non-intrusive Methods of Characterizing Vehicles on the Highway
Non-intrusive Methods of Characterizing Vehicles on the Highway

Author: Harry H. Cheng

Publisher:

Published: 2003

Total Pages: 118

ISBN-13:

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Over the past year we have worked on the development of a real-time laser-based non-intrusive field-deployable detection system for delineation of moving vehicles. The primary goal of the project is to develop a roadway detection system that can be used to gather reliable travel time data non-intrusively. Microprocessor is used to control digital-controlled potentiometer (DCP), which adjusts the gain of sensors' signals. It adjusts the system quickly on highway with only pushing a button. The adjustment, which used to take half or an hour, needs only several seconds. Meantime, the microprocessor is also able to filter noise after having finished the task of adjustment. The software of the system is rebuilt for 8 channels, which used to be for 4 channels, to be able to obtain more information of vehicles even like the outline of vehicle. In order to improve the precision of the system, we improved the mechanical design, optical design and electric circuit design. The frequency of laser pulse is 10 kHz and the sample rate of computer DIO96 board is also 10 kHz. This document describes the design and implementation of each functional component of the field-deployment system, the configuration of the field detection system, and software design and implementation. This report also discusses optical techniques that may potentially be used for the detection of trace amounts of gases such as CO, CO2, NO and NO2 through the use of an overhead detector that employs signal reflection from a roadway like the Laser-Based Detection System. These gas species are relevant to detection of highly polluting vehicles.

Applications of Advanced Technologies in Transportation
Applications of Advanced Technologies in Transportation

Author: Chris Hendrickson

Publisher:

Published: 1998

Total Pages: 458

ISBN-13: 9780784403334

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The 46 papers from the April 1998 conference discuss recent developments and the continuing applications of advanced technologies. The topics covered include decision support systems for real-time traffic control systems; new technologies for detecting and reacting to roadway accidents or other incidents; automation of vehicles; new technologies for sensing traffic system performance and identifying vehicles; new techniques for traffic prediction that can support real-time control and pricing strategies; and applications of geographic information systems. Annotation copyrighted by Book News, Inc., Portland, OR