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Accident data

A data mining framework to analyze road accident data

A data mining framework to analyze road accident data

... in accident data analysis to identify the main factors associ- ated with a road and traffic ...road accident data makes the analysis task difficult. Data segmentation has been used ...

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Data Mining Based on Analyzed Road Accident Data
Uppu Nirosha

Data Mining Based on Analyzed Road Accident Data Uppu Nirosha

... traffic accident databases, mixed using the method of associated rules, PSO, and Information Entropy to analyze the degree of importance of traffic ...each accident-triggering factor’s influence on the ...

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Mining Road Traffic Accident Data to Improve Safety on Road related Factors for Classification and Prediction of Accident Severity

Mining Road Traffic Accident Data to Improve Safety on Road related Factors for Classification and Prediction of Accident Severity

... the data mining tool WEKA. Traffic Accident data contains accident severity which represents the severity of the ...of accident severity are Injury, Fatal, Physical disabled, Property ...

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Hotspot Location Identification Using Accident Data, Traffic and Geometric Characteristics

Hotspot Location Identification Using Accident Data, Traffic and Geometric Characteristics

... of accident prone areas has a significant effect on the reduction of road accidents and damages caused by ...of accident hotspots, the introduction of a comprehensive and localized method for identifying ...

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Road Accident Data Analytics Using Map – Reduce Concept

Road Accident Data Analytics Using Map – Reduce Concept

... Through this project we have come up with the K-modes clustering and association rule mining for examining the accident patterns for altered types of accidents. Six clusters were treasured for the K-modes ...

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Covariate models for accident data

Covariate models for accident data

... BATES, G E and J NEYMAN, 1952 "Contributions to the theory of accident proneness I An optimistic model of the correlation between light and severe accidents," University of California Pu[r] ...

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Identification and Improvement of Accident Black Spots on N H 86 District Sagar, Madhya Pradesh

Identification and Improvement of Accident Black Spots on N H 86 District Sagar, Madhya Pradesh

... probable accident-prone zones in the considered road stretch of NH- ...Secondary data was collected for the study. Secondary data collection includes the collection of road accident ...

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ENERGY EFFICIENT DISTRIBUTED IMAGE COMPRESSION USING JPEG2000 IN WIRELESS SENSOR 
NETWORKS (WSNS)

ENERGY EFFICIENT DISTRIBUTED IMAGE COMPRESSION USING JPEG2000 IN WIRELESS SENSOR NETWORKS (WSNS)

... 3.2 Accident Data Set: Data Understanding A good understanding of the data at hand leads to a better success in achieving the data mining ...this data mining research is the ...

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A Radical Approach to Forecast the Road Accident Using Data Mining Technique

A Radical Approach to Forecast the Road Accident Using Data Mining Technique

... in data mining process is to extract the relevant information from the available ...database. Accident data set have been produced by data ...the accident dataset in perspective of ...

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An Advanced Approach of Text Mining for Analysis of Road Accidents

An Advanced Approach of Text Mining for Analysis of Road Accidents

... For making predictions, the system must be trained. With ‘training’ the meaning is to give some example records to the system in RapidMiner and let the system train/learn from the dataset. Thousands are records are given ...

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A novel framework to analyze road accident time series data

A novel framework to analyze road accident time series data

... Road accident data analysis plays an important role in identifying key factors associ- ated with road ...road accident data analysis using traditional statistical techniques and data ...

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Accident Severity Prediction Using Data Mining Methods

Accident Severity Prediction Using Data Mining Methods

... predict accident severity, TibebeBeshah and Shandraw Hill used certain classification ...traffic accident data, and tested a number of predictive ...

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Mining Spatio Temporal Data of Fatal Accident

Mining Spatio Temporal Data of Fatal Accident

... Furthermore, this paper proposes LTKC for mining spatio- temporal data of fatal accident data. The clustering techniques should be in accordance with the characteristics of spatio- temporal ...

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Analysing Road Accident Criticality using Data mining

Analysing Road Accident Criticality using Data mining

... road accident like speed of the vehicle, road conditions, time of the accident ...the accident. Data mining is a method to analyse huge amount of traffic data in an efficient manner, ...

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RISK FACTORS AFFECTING FATAL VERSUS NON-FATAL ROAD TRAFFIC ACCIDENTS: THE CASE OF KARS PROVINCE, TURKEY

RISK FACTORS AFFECTING FATAL VERSUS NON-FATAL ROAD TRAFFIC ACCIDENTS: THE CASE OF KARS PROVINCE, TURKEY

... traffic accident data used in this study were obtained from road traffic accident reports of Traffic Services Branch Office and Regional Traffic Control Branch Office under the responsibility of Kars ...

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Risk governance for traffic accidents by Geostatistical Analyst methods

Risk governance for traffic accidents by Geostatistical Analyst methods

... traffic accident datasets in a case study of the city of ...traffic accident data according to the accident criteria (AC) using kriging methods and to analyse their implications for junction ...

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Geometric Design Consistency and its relation Tosafety on Outer Ring Road

Geometric Design Consistency and its relation Tosafety on Outer Ring Road

... for Accident data. The collected accident data includes the time of occurrence of accident, type of accident, vehicles involved in the accident, location of ...

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Identification and Improvement of Accident Prone Locations on selected Stretch of NH 44

Identification and Improvement of Accident Prone Locations on selected Stretch of NH 44

... the accident prone locations on selected stretches on NH-44 in the Haryana ...the accident prone locations on ...road accident data of a selected stretch of NH-44 (Panipat-Karnal ...road ...

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Using Data Mining Technique to Predict Cause of Accident and Accident Prone Locations on Highways

Using Data Mining Technique to Predict Cause of Accident and Accident Prone Locations on Highways

... Road accident is a special case of trauma that constitutes a major cause of disability, untimely death and loss of loved ones as well as family bread ...road accident on high ways with par- ticular emphasis ...

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Identification of Accident Black Spot Locations Using GIS & GPS Technology: A Case Study of Hyderabad

Identification of Accident Black Spot Locations Using GIS & GPS Technology: A Case Study of Hyderabad

... most accident–prone countries in world with a record rate of more than three lakhs of road crashes every ...Bangalore’s accident statistics is presented in the present ...

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