Use Of Neural Network Dynamic Algorithms To Predict Bus Travel Times Under Congested Conditions

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Use Of Neural Network Dynamic Algorithms To Predict Bus Travel Times Under Congested Conditions
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Author :
language : en
Publisher:
Release Date : 2003
Use Of Neural Network Dynamic Algorithms To Predict Bus Travel Times Under Congested Conditions written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003 with Bus lines categories.
Use Of Neural Network Dynamic Algorithms To Predict Bus Travel Times Under Congested Conditions
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Author : I-Jy Steven Chien
language : en
Publisher:
Release Date : 2003
Use Of Neural Network Dynamic Algorithms To Predict Bus Travel Times Under Congested Conditions written by I-Jy Steven Chien and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003 with Bus lines categories.
In this study, a dynamic model for predicting bus arrival times is developed using data collected by a real-world Automatic Passenger Counter (APC) system. The model consists of two major elements. The first one is an artificial neural network model for predicting bus travel time between time points for a trip occurring at given time-of-day, day-of-week, and weather condition. The second one is a Kalman filter based dynamic algorithm to adjust the arrival time prediction using up-to-the-minute bus location (operational) information. Test runs show that the developed model is quite powerful in dealing with variations in bus arrival times along the service route.
Service Science Management And Engineering
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Author : Gang Xiong
language : en
Publisher: Academic Press
Release Date : 2012-04-17
Service Science Management And Engineering written by Gang Xiong and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-04-17 with Technology & Engineering categories.
The Intelligent Systems Series comprises titles that present state of the art knowledge and the latest advances in intelligent systems. Its scope includes theoretical studies, design methods, and real-world implementations and applications. Service Science, Management, and Engineering presents the latest issues and development in service science. Both theory and applications issues are covered in this book, which integrates a variety of disciplines, including engineering, management, and information systems. These topics are each related to service science from various perspectives, and the book is supported throughout by applications and case studies that showcase best practice and provide insight and guidelines to assist in building successful service systems. - Presents the latest research on service science, management and engineering, from both theory and applications perspectives - Includes coverage of applications in high-growth sectors, along with real-world frameworks and design techniques - Applications and case studies showcase best practices and provide insights and guidelines to those building and managing service systems
Computational Intelligence Techniques For 5g Enabled Iot Networks
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Author : Mohit Kumar
language : en
Publisher: Springer Nature
Release Date : 2025-07-26
Computational Intelligence Techniques For 5g Enabled Iot Networks written by Mohit Kumar and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-26 with Computers categories.
This book explores emerging interdisciplinary themes and applications reflecting advancements in Computational Intelligence (CI) for IoT and 5G networks. It is divided into four sections: Section 1 introduces Computational Intelligence and Sustainability Solutions for Next-Gen IoT Networks. Section 2 covers Optimization and Resilience Strategies for 5G-Enabled IoT Networks. Section 3 delves Intelligent Resource Allocation and Service Optimization in 5G IoT Networks. Section 4 presents Case studies on Applied Computational Intelligence and 5G IoT Innovations for Industry 4.0. This comprehensive work is essential for researchers and professionals interested in leveraging CI, IoT, and 5G technologies across diverse applications.
Proceedings Of The 13th International Conference On Soft Computing And Pattern Recognition Socpar 2021
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Author : Ajith Abraham
language : en
Publisher: Springer Nature
Release Date : 2022-02-21
Proceedings Of The 13th International Conference On Soft Computing And Pattern Recognition Socpar 2021 written by Ajith Abraham and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-02-21 with Technology & Engineering categories.
This book highlights the recent research on soft computing, pattern recognition, nature-inspired computing and their various practical applications. It presents 53 selected papers from the 13th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2021) and 11 papers from the 13th World Congress on Nature and Biologically Inspired Computing (NaBIC 2021), which was held online, from December 15 to 17, 2021. A premier conference in the field of soft computing, artificial intelligence and machine learning applications, SoCPaR-NaBIC 2021 brought together researchers, engineers and practitioners whose work involves intelligent systems, network security and their applications in industry. Including contributions by authors from over 20 countries, the book offers a valuable reference guide for all researchers, students and practitioners in the fields of computer science and engineering.
Graph Theory Heuristic Methods
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Author : N.B. Singh
language : en
Publisher: N.B. Singh
Release Date :
Graph Theory Heuristic Methods written by N.B. Singh and has been published by N.B. Singh this book supported file pdf, txt, epub, kindle and other format this book has been release on with Mathematics categories.
"Graph Theory: Heuristic Methods" explores the intersection of graph theory and heuristic algorithms, offering a comprehensive exploration of how these methodologies contribute to solving diverse real-world challenges in network design and optimization. Covering fundamental concepts, advanced applications, and emerging trends, this book serves as a vital resource for researchers, practitioners, and students seeking to leverage heuristic approaches for tackling complex problems across various domains."
Passenger Counting Systems
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Author : Daniel K. Boyle
language : en
Publisher: Transportation Research Board
Release Date : 2008
Passenger Counting Systems written by Daniel K. Boyle and has been published by Transportation Research Board this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with Automatic data collection systems categories.
This report documents the state of analytical tools and technologies for measuring transit ridership via automatic passenger counter systems and other subsidiary data.
Pervasive Computing A Networking Perspective And Future Directions
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Author : Deepshikha Bhargava
language : en
Publisher: Springer
Release Date : 2019-01-29
Pervasive Computing A Networking Perspective And Future Directions written by Deepshikha Bhargava and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-01-29 with Computers categories.
This book offers an accessible guide to ubiquitous computing, with an emphasis on pervasive networking. It addresses various technical obstacles, such as connectivity, levels of service, performance, reliability and fairness. The focus is on describing currently available off-the-shelf technologies, novel algorithms and techniques in areas such as: underwater sensor networks, ant colony based routing, heterogeneous networks, agent based distributed networks, cognitive radio networks, real-time WSN applications, machine translation, intelligent computing and ontology based bit masking. By introducing the core topics and exploring assistive pervasive systems that draw on pervasive networking, the book provides readers with a robust foundation of knowledge on this growing field of research. Written in a straightforward style, the book is also accessible to a broad audience of researchers and designers who are interested in exploring pervasive computing further.
Recent Advances In Traffic Engineering
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Author : Ashish Dhamaniya
language : en
Publisher: Springer Nature
Release Date : 2023-10-28
Recent Advances In Traffic Engineering written by Ashish Dhamaniya and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-10-28 with Technology & Engineering categories.
This book comprises select peer-reviewed proceedings of the National Conference on Recent Advances in Traffic Engineering (RATE 2022). The contents includes in-depth insights into the domain of traffic engineering and planning and presents the latest advancements by focusing on traffic engineering, traffic flow, road safety, advanced techniques for transportation surveys, and data collection. It covers topics including travel demand modeling and transportation planning issues. The contents of this book offer up-to-date and practical knowledge on different aspects of traffic engineering. It will be useful for researchers as well as practitioners.
Big Data Analytics And Cloud Computing
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Author : Marcello Trovati
language : en
Publisher: Springer
Release Date : 2016-01-12
Big Data Analytics And Cloud Computing written by Marcello Trovati and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-01-12 with Computers categories.
This book reviews the theoretical concepts, leading-edge techniques and practical tools involved in the latest multi-disciplinary approaches addressing the challenges of big data. Illuminating perspectives from both academia and industry are presented by an international selection of experts in big data science. Topics and features: describes the innovative advances in theoretical aspects of big data, predictive analytics and cloud-based architectures; examines the applications and implementations that utilize big data in cloud architectures; surveys the state of the art in architectural approaches to the provision of cloud-based big data analytics functions; identifies potential research directions and technologies to facilitate the realization of emerging business models through big data approaches; provides relevant theoretical frameworks, empirical research findings, and numerous case studies; discusses real-world applications of algorithms and techniques to address the challenges of big datasets.