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Author: Publisher: ISBN: Category : Languages : en Pages : 102
Book Description
Transportation Research Record contains the following papers: Comparison of low-fidelity TRANSIMS and high-fidelity CORSIM highway simulation models with intelligent transportation system data (Rilett, LR, Kim, KO and Raney, B); ARTIMIS telephone travel information service : current use patterns and user satisfaction (Hall, LA, Bowling, S and Asher, JC); Likely users of advanced traveler information systems : evidence from the Seattle region (Mehndiratta, SR, Kemp, MA, Lappin, JE and Nierenberg, E); Benefit-cost evaluation of traveler information : Seattle's Washington State Department of Transportation website (Lee, DB); Seattle metropolitan model deployment initiative evaluation : results and key findings from modeling (Wunderlich, K, Bunch, J and Larkin, J); Fast emergency vehicle preemption systems (Shibuya, S, Yoshida, T, Yamashiro, Z and Miyawaki, M); Assessment of rural intelligent transportation system wireless communications solutions (Yanke, Q, Sisiopiku, V and Arnold, JA); Estimating an origin-destination table under repeated counts of in-out volumes at highway ramps : use of artificial neural networks (Kikuchi, S and Tanaka, M); Dynamic estimation of origin-destination travel time and flow on a long freeway corridor : neural kalman filter (Suzuki, H, Nakatsuji, T and Tanaboriboon, Y); Performance evaluation of neural networks in concrete condition assessment (Martinelli, DR and Shoukry, SN); Knowledge acquisition, verification, and validation in an expert system for improved traffic safety (Herland, L, Moller, B and Schandersson, R); Determining the overall value of implemented new technology in transportation : integrated multiple objective-attribute methodology (Mattingly, SG, Jayakrishnan, R and McNally, MC).
Author: Publisher: ISBN: Category : Languages : en Pages : 102
Book Description
Transportation Research Record contains the following papers: Comparison of low-fidelity TRANSIMS and high-fidelity CORSIM highway simulation models with intelligent transportation system data (Rilett, LR, Kim, KO and Raney, B); ARTIMIS telephone travel information service : current use patterns and user satisfaction (Hall, LA, Bowling, S and Asher, JC); Likely users of advanced traveler information systems : evidence from the Seattle region (Mehndiratta, SR, Kemp, MA, Lappin, JE and Nierenberg, E); Benefit-cost evaluation of traveler information : Seattle's Washington State Department of Transportation website (Lee, DB); Seattle metropolitan model deployment initiative evaluation : results and key findings from modeling (Wunderlich, K, Bunch, J and Larkin, J); Fast emergency vehicle preemption systems (Shibuya, S, Yoshida, T, Yamashiro, Z and Miyawaki, M); Assessment of rural intelligent transportation system wireless communications solutions (Yanke, Q, Sisiopiku, V and Arnold, JA); Estimating an origin-destination table under repeated counts of in-out volumes at highway ramps : use of artificial neural networks (Kikuchi, S and Tanaka, M); Dynamic estimation of origin-destination travel time and flow on a long freeway corridor : neural kalman filter (Suzuki, H, Nakatsuji, T and Tanaboriboon, Y); Performance evaluation of neural networks in concrete condition assessment (Martinelli, DR and Shoukry, SN); Knowledge acquisition, verification, and validation in an expert system for improved traffic safety (Herland, L, Moller, B and Schandersson, R); Determining the overall value of implemented new technology in transportation : integrated multiple objective-attribute methodology (Mattingly, SG, Jayakrishnan, R and McNally, MC).
Author: Mashrur Chowdhury Publisher: Elsevier ISBN: 0443138796 Category : Computers Languages : en Pages : 572
Book Description
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
Author: Gereon Meyer Publisher: Springer ISBN: 3319405039 Category : Technology & Engineering Languages : en Pages : 292
Book Description
This edited book comprises papers about the impacts, benefits and challenges of connected and automated cars. It is the third volume of the LNMOB series dealing with Road Vehicle Automation. The book comprises contributions from researchers, industry practitioners and policy makers, covering perspectives from the U.S., Europe and Japan. It is based on the Automated Vehicles Symposium 2015 which was jointly organized by the Association of Unmanned Vehicle Systems International (AUVSI) and the Transportation Research Board (TRB) in Ann Arbor, Michigan, in July 2015. The topical spectrum includes, but is not limited to, public sector activities, human factors, ethical and business aspects, energy and technological perspectives, vehicle systems and transportation infrastructure. This book is an indispensable source of information for academic researchers, industrial engineers and policy makers interested in the topic of road vehicle automation.
Author: Franziska Klügl Publisher: Springer Science & Business Media ISBN: 3764373636 Category : Computers Languages : en Pages : 211
Book Description
Building effective and user-friendly transportation systems is one of the big challenges for engineers in the 21st century. There is an increasing need to understand, model, and govern such systems at both, the individual and the society level. Traffic and transportation scenarios are extraordinarily appealing for Distributed Artificial Intelligence, and (multi-)agent technology in particular. This book gives an overview of recent advances in agent-based transportation systems.
Author: Ankur Choudhary Publisher: Springer Nature ISBN: 9811630674 Category : Computers Languages : en Pages : 738
Book Description
The book presents a collection of peer-reviewed articles from the International Conference on Advances and Applications of Artificial Intelligence and Machine Learning - ICAAAIML 2020. The book covers research in artificial intelligence, machine learning, and deep learning applications in healthcare, agriculture, business, and security. This volume contains research papers from academicians, researchers as well as students. There are also papers on core concepts of computer networks, intelligent system design and deployment, real-time systems, wireless sensor networks, sensors and sensor nodes, software engineering, and image processing. This book will be a valuable resource for students, academics, and practitioners in the industry working on AI applications.
Author: Stan Geertman Publisher: Springer ISBN: 3319183680 Category : Science Languages : en Pages : 504
Book Description
This book is a selection of the best and peer-reviewed articles presented at the CUPUM (Computers in Urban Planning and Urban Management) conference, held in the second week of July 2015 at MIT in Boston, USA. The contributions provide state-of the art overview of the availability and application of Planning Support Systems (PSS) in the framework of Smart Cities.
Author: Prabin K. Bora Publisher: Springer Nature ISBN: 9811615500 Category : Technology & Engineering Languages : en Pages : 209
Book Description
This book comprises the select proceedings of the International Conference on Emerging Global Trends in Engineering and Technology (EGTET 2020), held in Guwahati, India. The chapters in this book focus on the latest cleaner, greener, and efficient technologies being developed for the implementation of smart cities across the world. The broader topical sections include Smart Buildings, Infrastructures and Disaster Management; Smart Governance; Technologies for Smart Cities, and Wireless Connectivity for Smart Cities. This book will cater to students, researchers, industry professionals, and policy making bodies interested and involved in the planning and implementation of smart city projects.
Author: Anand Paul Publisher: Elsevier ISBN: 0128095466 Category : Transportation Languages : en Pages : 244
Book Description
Intelligent Vehicular Network and Communications: Fundamentals, Architectures and Solutions begins with discussions on how the transportation system has transformed into today's Intelligent Transportation System (ITS). It explores the design goals, challenges, and frameworks for modeling an ITS network, discussing vehicular network model technologies, mobility management architectures, and routing mechanisms and protocols. It looks at the Internet of Vehicles, the vehicular cloud, and vehicular network security and privacy issues. The book investigates cooperative vehicular systems, a promising solution for addressing current and future traffic safety needs, also exploring cooperative cognitive intelligence, with special attention to spectral efficiency, spectral scarcity, and high mobility. In addition, users will find a thorough examination of experimental work in such areas as Controller Area Network protocol and working function of On Board Unit, as well as working principles of roadside unit and other infrastructural nodes. Finally, the book examines big data in vehicular networks, exploring various business models, application scenarios, and real-time analytics, concluding with a look at autonomous vehicles. - Proposes cooperative, cognitive, intelligent vehicular networks - Examines how intelligent transportation systems make more efficient transportation in urban environments - Outlines next generation vehicular networks technology
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Author: Mashrur Chowdhury
Author: Gereon Meyer
Author: Franziska Klügl
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Author: Ankur Choudhary
Author: Stan Geertman
Author: Prabin K. Bora
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Author: Anand Paul