[PDF][PDF] Traffic accident severity prediction and cognitive analysis using deep learning

T Vaiyapuri, M Gupta - Soft Computing, 2021 - academia.edu
Road traffic accidents are common in the world. India is among the leading countries in
accident cases. Crash injury severity prediction is an exciting area of study in traffic safety …

Effectiveness of road safety interventions: An evidence and gap map

R Goel, G Tiwari, M Varghese, K Bhalla… - Campbell systematic …, 2024 - Wiley Online Library
Abstract Background Road Traffic injuries (RTI) are among the top ten leading causes of
death in the world resulting in 1.35 million deaths every year, about 93% of which occur in …

Investigating the effect of geometric dimensions of median traffic barriers on crashes: Crash analysis of interstate roads in Wyoming using actual crash datasets

AM Molan, M Moomen, K Ksaibati - Journal of safety research, 2019 - Elsevier
Introduction Despite the numerous safety studies done on traffic barriers' performance
assessment, the effect of variables such as traffic barrier's height has not been identified …

Roadside fixed-object collisions, barrier performance, and fatal injuries in single-vehicle, run-off-road crashes

FDB Albuquerque, DMM Awadalla - Safety, 2020 - mdpi.com
Objectives: To quantify the odds of fatal injuries associated with drivers involved in single-
vehicle, run-off-road (SVROR), injury crashes. Methods: An in-service safety evaluation was …

A qualitative study to explore traffic police personnel perceptions towards road safety behaviour among young riders in Manipal, India

K Sumit, K Brijs, V Ross, G Wets, RAC Ruiter - BMC Public Health, 2024 - Springer
Road crash injuries are significant public health issues in many low-and middle-income
countries. Every year more than 1.35 million people lose their lives due to road crashes …

[HTML][HTML] High capacity, adaptive energy absorption under tensile loading conditions utilizing an axial cutting deformation mode

A Gudisey, J Magliaro, W Altenhof - Forces in Mechanics, 2021 - Elsevier
Conventional tensile energy absorbers are often limited in their efficacy by erratic and
unpredictable force responses. Additionally, the published literature on devices of this …

Convolutional neural network for roadside barriers detection: Transfer learning versus non-transfer learning

M Rezapour, K Ksaibati - Signals, 2021 - mdpi.com
Increasingly more governmental organizations in the US have started to implement artificial
intelligence to enhance the asset management process with an objective of controlling the …

Adaptive crash energy absorber based on a granular jamming mechanism

P Bartkowski, H Bukowiecki, F Gawiński… - Bulletin of the Polish …, 2022 - repo.pw.edu.pl
The following discussion concerns the use of innovative smart materials called vacuum-
packed particles (VPP) as active energy absorbers. VPP, also known as a granular jamming …

[HTML][HTML] Assessing roadside hybrid energy absorbers using the example of SafeEnd

M Budzynski, K Jamroz, L Jelinski, D Bruski… - Materials, 2022 - mdpi.com
A combination of crash cushion and end-terminal, hybrid energy absorbing devices have
been in use worldwide for a few years already. They include SafeEnd, a system Poland has …

Application of multinomial regression model to identify parameters impacting traffic barrier crash severity

M Rezapour, AM Molan… - The Open …, 2019 - opentransportationjournal.com
Background: Run Off The Road (ROTR) crashes are some of the most severe crashes that
could occur on roadways. The main countermeasure that can be taken to address this type …