[HTML][HTML] Machine learning applied to road safety modeling: A systematic literature review

PB Silva, M Andrade, S Ferreira - Journal of traffic and transportation …, 2020 - Elsevier
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 …

The statistical analysis of crash-frequency data: A review and assessment of methodological alternatives

D Lord, F Mannering - Transportation research part A: policy and practice, 2010 - Elsevier
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 …

Analytic methods in accident research: Methodological frontier and future directions

FL Mannering, CR Bhat - Analytic methods in accident research, 2014 - Elsevier
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 …

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 …

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 …

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 …

Estimation of rear-end vehicle crash frequencies in urban road tunnels

Q Meng, X Qu - Accident Analysis & Prevention, 2012 - Elsevier
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 …

A new model for determining the traffic accident black spots using GIS-aided spatial statistical methods

MA Dereli, S Erdogan - Transportation Research Part A: Policy and …, 2017 - Elsevier
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 …

[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 …

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 …