Publication date
August 2013
DOIAbstract
<p>A linear regression predicting the levels of road fatalities using presence of acacia trees, km of road, greenberg diversity index, nominal GDP, absolute latitude, population size and population density.</p
<p>A linear regression predicting the levels of road fatalities using presence of acacia trees, km of road, greenberg diversity index, nominal GDP, absolute latitude, population size and population density.</p
In the past decades, trees were considered roadside hazard. Street trees were removed to provide cle...
Seventy percent of the traffic crash fatalities of Iran happen on rural roads, and a significant pro...
This project focuses on the factor that affecting the status of road accident in Malaysia. Chi-squar...
<p>The mean number of annual road fatalities per 100,000 people within a country as a function of th...
Data on road traffic fatalities, serious casualties and slight casualties in each local authority di...
This study applied tree-based machine learning methods to investigate the contributing factors to bo...
A large number of fatalities on road are occurred by vehicle accident. One of most significant cause...
In the modern era, Road accident prediction models are priceless tools that have valuable applicatio...
Introduction: The study aims at identifying traffic/highway design/driver-vehicle information signif...
<p><b>Objective:</b> Traffic crashes along mountainous highways may lead to injuries and fatalities ...
Introduction: The study aims at identifying traffic/highway design/driver-vehicle information signif...
Data analysis for vehicular crash counts is essential for transportation and traffic management syst...
This study presents a tree-based logistic regression approach to assessing work zone casualty risk, ...
Pedestrian fatalities on national highways in Bangladesh account for about 47% of all pedestrian fat...
<p>Countries' linguistic diversity (Greenberg diversity index) as a function of the annual traffic f...
In the past decades, trees were considered roadside hazard. Street trees were removed to provide cle...
Seventy percent of the traffic crash fatalities of Iran happen on rural roads, and a significant pro...
This project focuses on the factor that affecting the status of road accident in Malaysia. Chi-squar...
<p>The mean number of annual road fatalities per 100,000 people within a country as a function of th...
Data on road traffic fatalities, serious casualties and slight casualties in each local authority di...
This study applied tree-based machine learning methods to investigate the contributing factors to bo...
A large number of fatalities on road are occurred by vehicle accident. One of most significant cause...
In the modern era, Road accident prediction models are priceless tools that have valuable applicatio...
Introduction: The study aims at identifying traffic/highway design/driver-vehicle information signif...
<p><b>Objective:</b> Traffic crashes along mountainous highways may lead to injuries and fatalities ...
Introduction: The study aims at identifying traffic/highway design/driver-vehicle information signif...
Data analysis for vehicular crash counts is essential for transportation and traffic management syst...
This study presents a tree-based logistic regression approach to assessing work zone casualty risk, ...
Pedestrian fatalities on national highways in Bangladesh account for about 47% of all pedestrian fat...
<p>Countries' linguistic diversity (Greenberg diversity index) as a function of the annual traffic f...
In the past decades, trees were considered roadside hazard. Street trees were removed to provide cle...
Seventy percent of the traffic crash fatalities of Iran happen on rural roads, and a significant pro...
This project focuses on the factor that affecting the status of road accident in Malaysia. Chi-squar...
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