The Use Of Weather Data To Predict Non Recurring Traffic Congestion PDF Download
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Author | : Daniel J. Dailey |
Publisher | : |
Total Pages | : 52 |
Release | : 2006 |
Genre | : Traffic congestion |
ISBN | : |
Download The Use of Weather Data to Predict Non-recurring Traffic Congestion Book in PDF, ePub and Kindle
Author | : Daniel J. Dailey |
Publisher | : |
Total Pages | : 30 |
Release | : 2006 |
Genre | : Traffic congestion |
ISBN | : |
Download The Use of Weather Data to Predict Non-recurring Traffic Congestion Book in PDF, ePub and Kindle
Author | : Markus Helfert |
Publisher | : Springer |
Total Pages | : 333 |
Release | : 2017-08-07 |
Genre | : Computers |
ISBN | : 3319637126 |
Download Smart Cities, Green Technologies, and Intelligent Transport Systems Book in PDF, ePub and Kindle
This book constitutes the thoroughly refereed post-conference proceedings of the 5th International Conference on Smart Cities and Green ICT Systems, SMARTGREENS 2016, and the Second International Conference on Vehicle Technology and Intelligent Transport Systems, VEHITS 2016, held in Rome, Italy, in April 2016. The 11 full papers of SMARTGREENS 2016 presented were carefully reviewed and selected from 72 submissions. VEHITS 2016 received 49 paper submissions from which 5 papers were selected and published in this book. The papers reflect topics such as smart cities, energy-aware systems and technologies, sustainable computing and communications, sustainable transportation and smart mobility.
Author | : Farah Al-Ogaili |
Publisher | : |
Total Pages | : 0 |
Release | : 2022 |
Genre | : Big data |
ISBN | : |
Download Incorporating Real-time Spatial-temporal Traffic Data for Traffic Prediction of Transportation Networks Using Machine Learning Yechniques Book in PDF, ePub and Kindle
This dissertation investigates the potential of adopting spatial-temporal data and machine learning techniques to predict traffic speed for transportation networks. Traffic data, along with historical weather information from multi regions located in the state of Ohio, were analyzed. Different spatial-temporal cases are generated based on the preprocessed traffic data along with various weather conditions. The first part of the dissertation investigates vehicles' speed variation patterns for different peak periods and different days of the week under congested and non-congested conditions in order to measure and understand the variability patterns. Different spatial-temporal cases are generated based on the preprocessed traffic data along with various weather conditions. Results showed a noticeable difference between rural and urban interstates in terms of speed patterns under normal and event conditions. "The second aim of the dissertation is to investigate the characteristics of speed distribution patterns under free-flow and recurrent congestion by fitting different distribution models. Results showed that the Normal, Burr, and t-location distributions could provide superior fitting performance compared to its alternative models under free-flow conditions" (Hussein et al., 2021). Lastly, the dissertation investigates the potential of adopting spatial-temporal data using machine learning techniques to predict traffic speed. Based on the obtained results, it was indicated that the support vector machine with radial bases kernel outperformed other models. Support vector machine model captured the drivers' speed patterns with the best prediction accuracy among all machine learning algorithms. The findings of this dissertation assist transportation planners and transportation agencies in visualizing the impacts of recurring and non-recurring congestion on arterial and freeways. Knowledge of travel speed distribution is one of the essential aspects of evaluating the performance of the transportation system, which results in improving the reliability of traffic parameters forecasting. Accurate traffic speeds prediction enables a smooth and effective daily operation for logistics and people transport on the transportation network.
Author | : Daniel J. Dailey |
Publisher | : |
Total Pages | : 78 |
Release | : 2003 |
Genre | : Traffic congestion |
ISBN | : |
Download Automata Model for Congestion Prediction Book in PDF, ePub and Kindle
Author | : Giovanni Huisken |
Publisher | : |
Total Pages | : 292 |
Release | : 2006 |
Genre | : Traffic congestion |
ISBN | : |
Download Inter-urban Short-term Traffic Congestion Prediction Book in PDF, ePub and Kindle
Author | : John C. Falcocchio |
Publisher | : Springer |
Total Pages | : 403 |
Release | : 2015-03-13 |
Genre | : Technology & Engineering |
ISBN | : 3319151657 |
Download Road Traffic Congestion: A Concise Guide Book in PDF, ePub and Kindle
This book on road traffic congestion in cities and suburbs describes congestion problems and shows how they can be relieved. The first part (Chapters 1 - 3) shows how congestion reflects transportation technologies and settlement patterns. The second part (Chapters 4 - 13) describes the causes, characteristics, and consequences of congestion. The third part (Chapters 14 - 23) presents various relief strategies - including supply adaptation and demand mitigation - for nonrecurring and recurring congestion. The last part (Chapter 24) gives general guidelines for congestion relief and provides a general outlook for the future. The book will be useful for a wide audience - including students, practitioners and researchers in a variety of professional endeavors: traffic engineers, transportation planners, public transport specialists, city planners, public administrators, and private enterprises that depend on transportation for their activities.
Author | : |
Publisher | : |
Total Pages | : 124 |
Release | : 2005 |
Genre | : Traffic congestion |
ISBN | : |
Download Dynamic Traffic Flow Modeling for Incident Detection and Short-term Congestion Prediction Book in PDF, ePub and Kindle
The purpose of this report is to summarize the research activities that were performed during the first year of this research project. In conducting this research, the research team split into several independent groups, each focusing on different aspects of the problem. One group has been focused on using weather and traffic flow conditions as predictors of incident conditions. Their activities are summarized in Chapter II. Other groups have been focused on developing models for producing short-term forecasts of potential congestion, using current measured traffic conditions. The results of these activities are summarized in Chapter III. Finally, the authors are beginning the process of developing a prototype tool that operators can use in a control center to display forecasted conditions. The beginnings of a high-level, functional specification for the tool are provided in Chapter IV.
Author | : Nayan S. Amin |
Publisher | : |
Total Pages | : 314 |
Release | : 2002 |
Genre | : Traffic congestion |
ISBN | : |
Download Congestion Mitigation Resources and Strategies for Arizona's State Highway System Book in PDF, ePub and Kindle
A challenge for the Arizona Department of Transportation (ADOT) will be to use a variety of practical, relevant congestion mitigation options in appropriate, collaborative and innovative ways to address current and future congestion problems. To meet this challenge, ADOT has undertaken the development of a comprehensive Congestion Mitigation Methodology for the implementation of a consistent and sustained approach to assess and manage the growing congestion problem on all elements of the state highway system. This effort has resulted in the development of practical strategies to solve Arizona's mobility and congestion problems. A significant step in the development of the Congestion Mitigation Methodology was building a consensus among traffic management stakeholders on effective definitions for congestion and for congestion management. Input on the definitions and state of the practice in congestion mitigation came from a national survey of Metropolitan Planning Organizations and State Departments of Transportation and from a statewide conference on congestion mitigation. The research project has produced recommendations for systematically quantifying congestion on Arizona's highways using a state-specific congestion index, and has also produced a database of available congestion mitigation strategies in Microsoft Access.
Author | : Francesco Corman |
Publisher | : Springer |
Total Pages | : 761 |
Release | : 2015-09-18 |
Genre | : Computers |
ISBN | : 3319242644 |
Download Computational Logistics Book in PDF, ePub and Kindle
This book constitutes the refereed proceedings of the 6th International Conference on Computational Logistics, ICCL 2015, held in Delft, The Netherlands, in September 2015. The 50 papers presented in this volume were carefully reviewed and selected for inclusion in the book. They are organized in topical sections entitled: transport over ground, transport over water, international coordination within a system, external coordination among systems.