Analysis Of Urban Traffic Patterns Using Clustering
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Analysis Of Urban Traffic Patterns Using Clustering
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Author : Wilhelmina Adriana Maria Weijermars
language : en
Publisher:
Release Date : 2007
Analysis Of Urban Traffic Patterns Using Clustering written by Wilhelmina Adriana Maria Weijermars and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with Cluster analysis categories.
Assessing Urban Transportation With Big Data Analysis
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Author : Dongyuan Yang
language : en
Publisher: Springer Nature
Release Date : 2022-09-19
Assessing Urban Transportation With Big Data Analysis written by Dongyuan Yang and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-09-19 with Science categories.
This book chiefly focuses on urban traffic, an area supported by massive amounts of data. The application of big data to urban traffic provides strategic and technical methods for the multi-directional and in-depth observation of complex adaptive systems, thus transforming conventional urban traffic planning and management methods. Sharing valuable insights into how big data can be applied to urban traffic, it offers a valuable asset for information technicians, traffic engineers and traffic data analysts alike.
Logic Driven Traffic Big Data Analytics
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Author : Shaopeng Zhong
language : en
Publisher: Springer Nature
Release Date : 2022-02-01
Logic Driven Traffic Big Data Analytics written by Shaopeng Zhong and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-02-01 with Business & Economics categories.
This book starts from the relationship between urban built environment and travel behavior and focuses on analyzing the origin of traffic phenomena behind the data through multi-source traffic big data, which makes the book unique and different from the previous data-driven traffic big data analysis literature. This book focuses on understanding, estimating, predicting, and optimizing mobility patterns. Readers can find multi-source traffic big data processing methods, related statistical analysis models, and practical case applications from this book. This book bridges the gap between traffic big data, statistical analysis models, and mobility pattern analysis with a systematic investigation of traffic big data’s impact on mobility patterns and urban planning.
Urban Traffic Networks
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Author : Nathan H. Gartner
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Urban Traffic Networks written by Nathan H. Gartner and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Business & Economics categories.
The problems of urban traffic in the industrially developed countries have been at the top of the priority list for a long time. While making a critical contribution to the economic well being of those countries, transportation systems in general and highway traffic in particular, also have detrimental effects which are evident in excessive congestion, high rates of accidents and severe pollution problems. Scientists from different disciplines have played an important role in the development and refinement of the tools needed for the planning, analysis, and control of urban traffic networks. In the past several years, there were particularly rapid advances in two areas that affect urban traffic: 1. Modeling of traffic flows in urban networks and the prediction of the resulting equilibrium conditions; 2. Technology for communication with the driver and the ability to guide him, by providing him with useful, relevant and updated information, to his desired destination.
Urban Area Traffic Flow Forecasting In Intelligent Transportation Systems
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Author : Ziyue Wang
language : en
Publisher:
Release Date : 2019
Urban Area Traffic Flow Forecasting In Intelligent Transportation Systems written by Ziyue Wang and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with categories.
Currently, Intelligent Transportation Systems (ITS), is revolutionizing the transportation industry. ITS incorporates advanced Internet of Things (IoT) technologies to implement "Smart City". These technologies produce tremendous amount of real time data from diverse sources that can be used to solve transportation problems. In this thesis, I focus on one such problem, traffic congestion in urban areas. A road segment affected by traffic affects the surrounding road segments. This is obvious. However, over a period of time, other roads not necessarily close in proximity to the congested road segment may also be affected. The congestion is not stationary. It is dynamic and it spreads. I address this issue by first formulating a similarity function using ideas from network theory. Using this similarity function, I then cluster the road points affected by traffic using affinity propagation clustering, a distributed message passing algorithm. Finally, I predict the effect of traffic on this cluster using long-short term memory neural network model. I evaluate and show the feasibility of my proposed clustering and prediction algorithm during peak and non-peak hours on open source traffic data set.
Big Data For Regional Science
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Author : Laurie A Schintler
language : en
Publisher: Routledge
Release Date : 2017-08-07
Big Data For Regional Science written by Laurie A Schintler and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-08-07 with Business & Economics categories.
Recent technological advancements and other related factors and trends are contributing to the production of an astoundingly large and rapidly accelerating collection of data, or ‘Big Data’. This data now allows us to examine urban and regional phenomena in ways that were previously not possible. Despite the tremendous potential of big data for regional science, its use and application in this context is fraught with issues and challenges. This book brings together leading contributors to present an interdisciplinary, agenda-setting and action-oriented platform for research and practice in the urban and regional community. This book provides a comprehensive, multidisciplinary and cutting-edge perspective on big data for regional science. Chapters contain a collection of research notes contributed by experts from all over the world with a wide array of disciplinary backgrounds. The content is organized along four themes: sources of big data; integration, processing and management of big data; analytics for big data; and, higher level policy and programmatic considerations. As well as concisely and comprehensively synthesising work done to date, the book also considers future challenges and prospects for the use of big data in regional science. Big Data for Regional Science provides a seminal contribution to the field of regional science and will appeal to a broad audience, including those at all levels of academia, industry, and government.
Clustering And Outlier Detection For Trajectory Stream Data
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Author : Jiali Mao
language : en
Publisher: World Scientific
Release Date : 2020-02-18
Clustering And Outlier Detection For Trajectory Stream Data written by Jiali Mao and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-02-18 with Computers categories.
As mobile devices continue becoming a larger part of our lives, the development of location acquisition technologies to track moving objects have focused the minds of researchers on issues ranging from longitude and latitude coordinates, speed, direction, and timestamping, as part of parameters needed to calculate the positional information and locations of objects, in terms of time and position in the form of trajectory streams. Recently, recent advances have facilitated various urban applications such as smart transportation and mobile delivery services.Unlike other books on spatial databases, mobile computing, data mining, or computing with spatial trajectories, this book is focused on smart transportation applications.This book is a good reference for advanced undergraduates, graduate students, researchers, and system developers working on transportation systems.
User Clustering And Traffic Prediction In A Trunked Radio System
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Author : Hao Leo Chen
language : en
Publisher:
Release Date : 2005
User Clustering And Traffic Prediction In A Trunked Radio System written by Hao Leo Chen and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with Cluster analysis categories.
Traditional statistical analysis of network data is often employed to determine traffic distribution, to summarize user's behavior patterns, or to predict future network traffic. Mining of network data may be used to discover hidden user groups, to detect payment fraud, or to identify network abnormalities. In our research we combine traditional traffic analysis with data mining technique. We analyze three months of continuous network log data from a deployed public safety trunked radio network. After data cleaning and traffic extraction, we identify clusters of talk groups by applying Autoclass tool and K-means algorithm on user's behavior patterns represented by the hourly number of calls. We propose a traffic prediction model by applying the classical SARIMA models on the clusters of users. The predicted network traffic agrees with the collected traffic data and the proposed cluster-based prediction approach performs well compared to the prediction based on the aggregate traffic.
Group Assignment And Annual Average Daily Traffic Estimation Of Short Term Traffic Counts Using Gaussian Mixture Modeling And Neural Network Models
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Author : Sunil Kumar Madanu
language : en
Publisher:
Release Date : 2016
Group Assignment And Annual Average Daily Traffic Estimation Of Short Term Traffic Counts Using Gaussian Mixture Modeling And Neural Network Models written by Sunil Kumar Madanu and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016 with Gaussian processes categories.
The grouping of similar traffic patterns and cluster assignment process represent the most critical steps in AADT estimation from short-term traffic counts. Incorrect grouping and assignment often become a significant source of AADT estimation errors. For instance, grouping a commuter traffic trend pattern into a recreational traffic trend may produce an erroneous AADT value. The traditional knowledge-based methods, often aided with visual interpretation, introduce subjective bias while grouping traffic patterns. In addition, the grouping requires personnel resources to process large amounts of data and remains inefficient with unapparent traffic patterns. The functional class grouping, a traditional method, also produces larger errors. Under limited resources and constraints, better methods and techniques may group sites with similar characteristics. The study uses Gaussian Mixture Modeling (GMM) for clustering and an enhanced neural network model (OWO-Newton or ONN) for classification of continuous count data. The researchers compare this modified approach with volume factor grouping and a traditional approach. The study uses Automatic Traffic Recorder (ATR) data from the Oregon Department of Transportation (ODOT) as a comparative case study. Overall, the proposed two-step approach, GMM-ONN, exhibits improved performance. The study observes an error difference of 6% to 27%, which is statistically significant at 5 percent level, between the GMM-ONN and other methods. The GMM-ONN method produces less than five percent error for urban interstates and less than ten percent for urban arterials and freeways. The study method meets the FHWA recommended AADT forecasting error of less than ten percent for commuter patterns. The GMM-ONN also produces less error when compared to studies based on the national average and Minnesota and Florida DOT count data. The lower AADT estimation errors and its distribution show an effective and reliable approach for AADT estimation using short-term traffic counts. Moreover, the lower standard deviation of errors shows the satisfactory accuracy of the AADT estimates. The study recommends the improved two-step process due to its accuracy, economical approach by using daily patterns, and ability to meet the agency's need for a low-cost traffic counting program. The GMM-ONN method not only minimizes judgment errors but also supplements the FHWA guidelines on recommending clustering techniques for grouping the traffic patterns.
Intelligent Transportation And Planning Breakthroughs In Research And Practice
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Author : Management Association, Information Resources
language : en
Publisher: IGI Global
Release Date : 2018-02-02
Intelligent Transportation And Planning Breakthroughs In Research And Practice written by Management Association, Information Resources and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-02-02 with Transportation categories.
From driverless cars to vehicular networks, recent technological advances are being employed to increase road safety and improve driver satisfaction. As with any newly developed technology, researchers must take care to address all concerns, limitations, and dangers before widespread public adoption. Intelligent Transportation and Planning: Breakthroughs in Research and Practice is an innovative reference source for the latest academic material on the applications, management, and planning of intelligent transportation systems. Highlighting a range of topics, such as automatic control, infrastructure systems, and system architecture, this publication is ideally designed for engineers, academics, professionals, and practitioners actively involved in the transportation planning sector.