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| Author | : 蔣妃楓 |
| Publisher | : |
| Total Pages | : 195 |
| Release | : 2020 |
| Genre | : Architecture |
| ISBN | : |
| Author | : Prayag Tiwari |
| Publisher | : GRIN Verlag |
| Total Pages | : 82 |
| Release | : 2018-01-16 |
| Genre | : Business & Economics |
| ISBN | : 3668613079 |
Master's Thesis from the year 2017 in the subject Computer Sciences - Industry 4.0, grade: 5.0/5.0, , course: Computer Science and Engineering, language: English, abstract: Accident data analysis is one of the prime interests in the present era. Analysis of accident is very essential because it can expose the relationship between the different types of attributes that commit to an accident. Road, traffic and airplane accident data have different nature in comparison to other real world data as accidents are uncertain. Analyzing diverse accident dataset can provide the information about the contribution of these attributes which can be utilized to deteriorate the accident rate. Nowadays, Data mining is a popular technique for examining the accident dataset. In this study, Association rule mining, different classification, and clustering techniques have been implemented on the dataset of the road, traffic accidents, and an airplane crash. Achieved result illustrated accuracy at a better level and found many different hidden circumstances that would be helpful to deteriorate accident ratio in near future.
| Author | : Eftihia G. Nathanail |
| Publisher | : Springer |
| Total Pages | : 877 |
| Release | : 2018-12-11 |
| Genre | : Technology & Engineering |
| ISBN | : 3030023052 |
This book aims at showing how big data sources and data analytics can play an important role in sustainable mobility. It is especially intended to provide academicians, researchers, practitioners and decision makers with a snapshot of methods that can be effectively used to improve urban mobility. The different chapters, which report on contributions presented at the 4th Conference on Sustainable Urban Mobility, held on May 24-25, 2018, in Skiathos Island, Greece, cover different thematic areas, such as social networks and traveler behavior, applications of big data technologies in transportation and analytics, transport infrastructure and traffic management, transportation modeling, vehicle emissions and environmental impacts, public transport and demand responsive systems, intermodal interchanges, smart city logistics systems, data security and associated legal aspects. They show in particular how to apply big data in improving urban mobility, discuss important challenges in developing and implementing analytics methods and provide the reader with an up-to-date review of the most representative research on data management techniques for enabling sustainable urban mobility
| Author | : National Research Council (U.S.). Transportation Research Board |
| Publisher | : |
| Total Pages | : 148 |
| Release | : 2000 |
| Genre | : Traffic accidents |
| ISBN | : |
Transportation Research Record contains the following papers: Method for identifying factors contributing to driver-injury severity in traffic crashes (Chen, WH and Jovanis, PP); Crash- and injury-outcome multipliers (Kim, K); Guidelines for identification of hazardous highway curves (Persaud, B, Retting, RA and Lyon, C); Tools to identify safety issues for a corridor safety-improvement program (Breyer, JP); Prediction of risk of wet-pavement accidents : fuzzy logic model (Xiao, J, Kulakowski, BT and El-Gindy, M); Analysis of accident-reduction factors on California state highways (Hanley, KE, Gibby, AR and Ferrara, T); Injury effects of rollovers and events sequence in single-vehicle crashes (Krull, KA, Khattack, AJ and Council, FM); Analytical modeling of driver-guidance schemes with flow variability considerations (Kaysi, I and Ail, NH); Evaluating the effectiveness of Norway's speak out! road safety campaign : The logic of causal inference in road safety evaluation studies (Elvik, R); Effect of speed, flow, and geometric characteristics on crash frequency for two-lane highways (Garber, NJ and Ehrhart, AA); Development of a relational accident database management system for Mexican federal roads (Mendoza, A, Uribe, A, Gil, GZ and Mayoral, E); Estimating traffic accident rates while accounting for traffic-volume estimation error : a Gibbs sampling approach (Davis, GA); Accident prediction models with and without trend : application of the generalized estimating equations procedure (Lord, D and Persaud, BN); Examination of methods that adjust observed traffic volumes on a network (Kikuchi, S, Miljkovic, D and van Zuylen, HJ); Day-to-day travel-time trends and travel-time prediction form loop-detector data (Kwon, JK, Coifman, B and Bickel, P); Heuristic vehicle classification using inductive signatures on freeways (Sun, C and Ritchie, SG).
| Author | : Becky P. Y. Loo |
| Publisher | : CRC Press |
| Total Pages | : 346 |
| Release | : 2015-09-21 |
| Genre | : Mathematics |
| ISBN | : 1439874131 |
Examine the Prevalence and Geography of Road CollisionsSpatial Analysis Methods of Road Traffic Collisions centers on the geographical nature of road crashes, and uses spatial methods to provide a greater understanding of the patterns and processes that cause them. Written by internationally known experts in the field of transport geography, the bo
| Author | : Fabio Leuzzi |
| Publisher | : Springer |
| Total Pages | : 161 |
| Release | : 2018-03-21 |
| Genre | : Computers |
| ISBN | : 3319756087 |
This book presents high-quality original contributions on the development of automatic traffic analysis systems that are able to not only anticipate traffic scenarios, but also understand the behavior of road users (vehicles, bikes, trucks, etc.) in order to provide better traffic management, prevent accidents and, potentially, identify criminal behaviors. Topics also include traffic surveillance and vehicle accident analysis using formal concept analysis, convolutional and recurrent neural networks, unsupervised learning and process mining. The content is based on papers presented at the 1st Italian Conference for the Traffic Police (TRAP), which was held in Rome in October 2017. This conference represents a targeted response to the challenges facing the police in connection with managing massive traffic data, finding patterns from historical datasets, and analyzing complex traffic phenomena in order to anticipate potential criminal behaviors. The book will appeal to researchers, practitioners and decision makers interested in traffic monitoring and analysis, traffic modeling and simulation, mobility and social data mining, as well as members of the police.
| Author | : National Research Council (U.S.). Transportation Research Board |
| Publisher | : |
| Total Pages | : 212 |
| Release | : 2003 |
| Genre | : Traffic accident investigation |
| ISBN | : |
Covers empirical approaches to outlier detection in intelligent transportation systems data, modeling of traffic crash-flow relationships for intersections, profiling of high-frequency accident locations by use of association rules, analysis of rollovers and injuries with sport utility vehicles, and automated accident detection at intersections via digital audio signal processing.
| Author | : James O'Day |
| Publisher | : Transportation Research Board |
| Total Pages | : 60 |
| Release | : 1993 |
| Genre | : Information storage and retrieval systems |
| ISBN | : 9780309053174 |
This synthesis will be of interest to highway department administrators, accident records personnel, information systems and data processing management personnel, highway traffic and safety engineers, drivers' licensing officials, state and local police, as well as federal agencies, industries, traffic safety associations, and others responsible for the collection, analysis, and use of accident data. Information is provided on national accident data banks in addition to state and local practice associated with accident data collection, analysis, and evaluation. This synthesis describes current practice with respect to the characteristics and importance of accident data quality, including the reporting and data collection procedures, the analysis and quality control measures employed, and the communications systems used. This report of the Transportation Research Board discusses accident records systems, including data sources and users, considers the effects of inadequate data on analyses, and reviews data acquisition and processing programs that have had good results in the states using them. Recommendations for improving operating systems and for additional research are included.
| Author | : R. Matthew Brach |
| Publisher | : Society of Automotive Engineers |
| Total Pages | : 275 |
| Release | : 2005 |
| Genre | : Technology & Engineering |
| ISBN | : 9780768007763 |
A concerted goal of this book is to raise the analytical level of accident reconstruction practice such that commonly known scientific, engineering and mathematical methods increasingly become a more common part of the field. Chapters include: uncertainty in measurements & calculations; tire forces; straight-line motion; critical speed from the yaw marks; reconstruction of vehicular rollover accidents; analysis of collisions, impulse-momentum theory; crush energy; frontal vehicle-pedestrian collisions; photogrammetry; vehicle dynamic simulation.
| Author | : Paolo Giudici |
| Publisher | : John Wiley & Sons |
| Total Pages | : 277 |
| Release | : 2009-05-26 |
| Genre | : Mathematics |
| ISBN | : 0470058862 |
The increasing availability of data in our current, information overloaded society has led to the need for valid tools for its modelling and analysis. Data mining and applied statistical methods are the appropriate tools to extract knowledge from such data. This book provides an accessible introduction to data mining methods in a consistent and application oriented statistical framework, using case studies drawn from real industry projects and highlighting the use of data mining methods in a variety of business applications. Introduces data mining methods and applications. Covers classical and Bayesian multivariate statistical methodology as well as machine learning and computational data mining methods. Includes many recent developments such as association and sequence rules, graphical Markov models, lifetime value modelling, credit risk, operational risk and web mining. Features detailed case studies based on applied projects within industry. Incorporates discussion of data mining software, with case studies analysed using R. Is accessible to anyone with a basic knowledge of statistics or data analysis. Includes an extensive bibliography and pointers to further reading within the text. Applied Data Mining for Business and Industry, 2nd edition is aimed at advanced undergraduate and graduate students of data mining, applied statistics, database management, computer science and economics. The case studies will provide guidance to professionals working in industry on projects involving large volumes of data, such as customer relationship management, web design, risk management, marketing, economics and finance.
