[HTML][HTML] Machine learning applied to road safety modeling: A systematic literature review
Road safety modeling is a valuable strategy for promoting safe mobility, enabling the
development of crash prediction models (CPM) and the investigation of factors contributing …
development of crash prediction models (CPM) and the investigation of factors contributing …
The statistical analysis of crash-frequency data: A review and assessment of methodological alternatives
Gaining a better understanding of the factors that affect the likelihood of a vehicle crash has
been an area of research focus for many decades. However, in the absence of detailed …
been an area of research focus for many decades. However, in the absence of detailed …
Analytic methods in accident research: Methodological frontier and future directions
The analysis of highway-crash data has long been used as a basis for influencing highway
and vehicle designs, as well as directing and implementing a wide variety of regulatory …
and vehicle designs, as well as directing and implementing a wide variety of regulatory …
A crash-prediction model for multilane roads
C Caliendo, M Guida, A Parisi - Accident Analysis & Prevention, 2007 - Elsevier
Considerable research has been carried out in recent years to establish relationships
between crashes and traffic flow, geometric infrastructure characteristics and environmental …
between crashes and traffic flow, geometric infrastructure characteristics and environmental …
A comparative analysis of hotspot identification methods
A Montella - Accident Analysis & Prevention, 2010 - Elsevier
The identification of crash hotspots is the first step of the highway safety management
process. Errors in hotspot identification may result in the inefficient use of resources for …
process. Errors in hotspot identification may result in the inefficient use of resources for …
Development of comprehensive accident models for two-lane rural highways using exposure, geometry, consistency and context variables
S Cafiso, A Di Graziano, G Di Silvestro… - Accident Analysis & …, 2010 - Elsevier
In Europe, approximately 60% of road accident fatalities occur on two-lane rural roads. Thus,
research to develop and enhance explanatory and predictive models for this road type …
research to develop and enhance explanatory and predictive models for this road type …
Estimation of rear-end vehicle crash frequencies in urban road tunnels
According to The Handbook of Tunnel Fire Safety, over 90%(55 out of 61 cases) of fires in
road tunnels are caused by vehicle crashes (especially rear-end crashes). It is thus …
road tunnels are caused by vehicle crashes (especially rear-end crashes). It is thus …
A new model for determining the traffic accident black spots using GIS-aided spatial statistical methods
Traffic accidents are one of the important problems in our country as it in the world. The
World Health Organization case reports published in 2015 stated that approximately 1.25 …
World Health Organization case reports published in 2015 stated that approximately 1.25 …
[BOK][B] State-of-the-art approaches to road accident black spot management and safety analysis of road networks
R Elvik - 2007 - toi.no
Sammendrag: The report describes state-of-the-art approaches (ie Rapporten beskriver"
state-of-the-art" tilnærmingsmåter ideal approaches) to road accident black spot(dvs de best …
state-of-the-art" tilnærmingsmåter ideal approaches) to road accident black spot(dvs de best …
A crash-prediction model for road tunnels
C Caliendo, ML De Guglielmo, M Guida - Accident Analysis & Prevention, 2013 - Elsevier
Considerable research has been carried out into open roads to establish relationships
between crashes and traffic flow, geometry of infrastructure and environmental factors …
between crashes and traffic flow, geometry of infrastructure and environmental factors …