Predicting pedestrian-involved crash severity using inception-v3 deep learning model
Accid Anal Prev. 2024 Mar;197:107457. doi: 10.1016/j.aap.2024.107457. Epub 2024 Jan 13.ABSTRACTThis research leverages a novel deep learning model, Inception-v3, to predict pedestrian crash severity using data collected over five years (2016-2021) from Louisiana. The final dataset incorporates forty different variables related to pedestrian attributes, environmental conditions, and vehicular specifics. Crash severity was classified into three categories: fatal, injury, and no injury. The Boruta algorithm was applied to determine the importance of variables and investigate contributing factors to pedestrian crash severity, ...
Source: Accident; Analysis and Prevention. - January 14, 2024 Category: Accident Prevention Authors: Md Nasim Khan Subasish Das Jinli Liu Source Type: research
Risk factors as causes of accidents: Criterion of causality, logical structure of relationship to accidents and completeness of explanations
Accid Anal Prev. 2024 Mar;197:107469. doi: 10.1016/j.aap.2024.107469. Epub 2024 Jan 12.ABSTRACTThe causes of accidents are studied in the belief that by finding causes, accidents can be prevented by removing or controlling their causes. It follows that the risk factors that have traditionally been regarded as contributing to accidents can only be regarded as causes if it is possible to alter them by means of one or more road safety measures. Risk factors are causes if their relationship to accidents can be changed by implementing one or more road safety measures influencing the risk factors. Hence, road safety measures tha...
Source: Accident; Analysis and Prevention. - January 13, 2024 Category: Accident Prevention Authors: Rune Elvik Source Type: research
Can we trust our eyes? Interpreting the misperception of road safety from street view images and deep learning
In this study, we applied an advanced deep learning model and street view images to predict and map human perception scores of road safety in Manhattan. We then explored the association and mismatch between these perception scores and traffic crash rates, while also interpreting the influence of the built environment on this disparity. The results showed that there was heterogeneity in the distribution of road safety perception scores. Furthermore, the study found a positive correlation between perception scores and crash rates, indicating that higher perception scores were associated with higher crash rates. In this study...
Source: Accident; Analysis and Prevention. - January 13, 2024 Category: Accident Prevention Authors: Xujing Yu Jun Ma Yihong Tang Tianren Yang Feifeng Jiang Source Type: research
Impact of alcohol driving-while-impaired license suspension duration on future alcohol-related license events and motor vehicle crash involvement in North Carolina, 2007 to 2016
CONCLUSIONS: Decreased incidence of both license and crash outcomes were observed among repeat versus initial index suspensions. The magnitude of these differences varied by race/ethnicity, with larger decreases in incidence among Black compared to White individuals. Future research should examine the underlying mechanisms leading to alcohol-impaired driving behavior, convictions, recidivism, and crashes from a holistic social-ecological perspective so that interventions are designed to both improve road safety and maximize other critical public health outcomes, such as access to essential needs and services (e.g., healthc...
Source: Accident; Analysis and Prevention. - January 11, 2024 Category: Accident Prevention Authors: Bhavna Singichetti Yvonne M Golightly Yudan Chen Wang Stephen W Marshall Rebecca B Naumann Source Type: research
A systematic review and meta-analysis of data linkage between motor vehicle crash and hospital-based datasets
This study also highlights the importance of examining and accounting for population and bias introduced by linking two datasets.PMID:38199205 | DOI:10.1016/j.aap.2024.107461 (Source: Accident; Analysis and Prevention.)
Source: Accident; Analysis and Prevention. - January 10, 2024 Category: Accident Prevention Authors: Sajjad Karimi Aryan Hosseinzadeh Robert Kluger Teng Wang Reginald Souleyrette Ed Harding Source Type: research
Dynamic short-term crash analysis and prediction at toll plazas for proactive safety management
This study utilizes traffic, geometric, and weather data to analyze and predict dynamic short-term collision occurrence probability at mainline toll plazas. A random-effects logit regression model is employed to identify crash precursors and assess their impacts on the probability of crash occurrence at toll plazas. Meanwhile, a Long Short-Term Memory Convolutional Neural Network (LSTM-CNN) network is applied for crash prediction. The results of random-effects logit regression model indicate that the flow standard deviation of downstream, upstream occupancy, speed difference and occupancy difference between upstream and do...
Source: Accident; Analysis and Prevention. - January 7, 2024 Category: Accident Prevention Authors: Weiwei Mo Jaeyoung Lee Mohamed Abdel-Aty Suyi Mao Qianshan Jiang Source Type: research
Dynamic short-term crash analysis and prediction at toll plazas for proactive safety management
This study utilizes traffic, geometric, and weather data to analyze and predict dynamic short-term collision occurrence probability at mainline toll plazas. A random-effects logit regression model is employed to identify crash precursors and assess their impacts on the probability of crash occurrence at toll plazas. Meanwhile, a Long Short-Term Memory Convolutional Neural Network (LSTM-CNN) network is applied for crash prediction. The results of random-effects logit regression model indicate that the flow standard deviation of downstream, upstream occupancy, speed difference and occupancy difference between upstream and do...
Source: Accident; Analysis and Prevention. - January 7, 2024 Category: Accident Prevention Authors: Weiwei Mo Jaeyoung Lee Mohamed Abdel-Aty Suyi Mao Qianshan Jiang Source Type: research
Dynamic short-term crash analysis and prediction at toll plazas for proactive safety management
This study utilizes traffic, geometric, and weather data to analyze and predict dynamic short-term collision occurrence probability at mainline toll plazas. A random-effects logit regression model is employed to identify crash precursors and assess their impacts on the probability of crash occurrence at toll plazas. Meanwhile, a Long Short-Term Memory Convolutional Neural Network (LSTM-CNN) network is applied for crash prediction. The results of random-effects logit regression model indicate that the flow standard deviation of downstream, upstream occupancy, speed difference and occupancy difference between upstream and do...
Source: Accident; Analysis and Prevention. - January 7, 2024 Category: Accident Prevention Authors: Weiwei Mo Jaeyoung Lee Mohamed Abdel-Aty Suyi Mao Qianshan Jiang Source Type: research
Modeling of single-vehicle and multi-vehicle truck-involved crashes injury severities: A comparative and temporal analysis in a developing country
Accid Anal Prev. 2024 Jan 5;197:107452. doi: 10.1016/j.aap.2023.107452. Online ahead of print.ABSTRACTTruck-involved crashes persist as a significant concern, yielding noteworthy human casualties and causing economic ramifications, particularly in developing countries. This paper aims to undertake a comprehensive analysis of the associated factors influencing injury severity in truck-involved crashes, with a particular emphasis on discerning variations between single-vehicle and multi-vehicle incidents, as well as accounting for heterogeneity and temporal stability. The data analysis involves a meticulous examination of cr...
Source: Accident; Analysis and Prevention. - January 6, 2024 Category: Accident Prevention Authors: Chamroeun Se Thanapong Champahom Sajjakaj Jomnonkwao Dissakoon Chonsalasin Vatanavongs Ratanavaraha Source Type: research
Police and hospital data linkage for traffic injury surveillance: A systematic review
Accid Anal Prev. 2024 Jan 5;197:107426. doi: 10.1016/j.aap.2023.107426. Online ahead of print.ABSTRACTThis systematic review examines studies of traffic injury that involved linkage of police crash data and hospital data and were published from 1994 to 2023 worldwide in English. Inclusion and exclusion criteria were the basis for selecting papers from PubMed, Web of Science, and Scopus, and for identifying additional relevant papers using PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) and supplementary snowballing (n = 60). The selected papers were reviewed in terms of research objectives, data...
Source: Accident; Analysis and Prevention. - January 6, 2024 Category: Accident Prevention Authors: Ali Soltani James Edward Harrison Courtney Ryder Joanne Flavel Angela Watson Source Type: research
The effect of rear bicycle light configurations on drivers' perception of cyclists' presence and proximity
In conclusion, flashing rear cycle lights, regardless of reactive technology, enhanced drivers' perception of a cyclist ahead, notably in terms of their judgements of distance to that cyclist. Further investigation is needed to fully understand the impact of cycle light technology on driver perception, as well as the use of drivers' distance-to-cyclist estimates as an index of cyclists' cognitive conspicuity.PMID:38181567 | DOI:10.1016/j.aap.2023.107418 (Source: Accident; Analysis and Prevention.)
Source: Accident; Analysis and Prevention. - January 5, 2024 Category: Accident Prevention Authors: Daniel T Bishop Huma Waheed Tamara S Dkaidek David P Broadbent Source Type: research
The effect of rear bicycle light configurations on drivers' perception of cyclists' presence and proximity
In conclusion, flashing rear cycle lights, regardless of reactive technology, enhanced drivers' perception of a cyclist ahead, notably in terms of their judgements of distance to that cyclist. Further investigation is needed to fully understand the impact of cycle light technology on driver perception, as well as the use of drivers' distance-to-cyclist estimates as an index of cyclists' cognitive conspicuity.PMID:38181567 | DOI:10.1016/j.aap.2023.107418 (Source: Accident; Analysis and Prevention.)
Source: Accident; Analysis and Prevention. - January 5, 2024 Category: Accident Prevention Authors: Daniel T Bishop Huma Waheed Tamara S Dkaidek David P Broadbent Source Type: research
Impact of real-time weather conditions on crash injury severity in Kentucky using the correlated random parameters logit model with heterogeneity in means
Accid Anal Prev. 2024 Jan 3;196:107453. doi: 10.1016/j.aap.2023.107453. Online ahead of print.ABSTRACTThe present study investigated the impact of real-time weather (air temperature, relative humidity, precipitation, wind speed, and solar radiation) on crash injury severity. Recent crash data (January 2016 to April 2021) on Interstate-75 in the state of Kentucky were merged with real-time weather information (retrieved from Kentucky Mesonet stations) at the 1-hour level. The severity index "SI" (i.e., the ratio of percent severe crashes to percent exposure of a specific weather state during the crash period) was introduced...
Source: Accident; Analysis and Prevention. - January 4, 2024 Category: Accident Prevention Authors: Bharat Kumar Pathivada Arunabha Banerjee Kirolos Haleem Source Type: research
Impact of real-time weather conditions on crash injury severity in Kentucky using the correlated random parameters logit model with heterogeneity in means
Accid Anal Prev. 2024 Jan 3;196:107453. doi: 10.1016/j.aap.2023.107453. Online ahead of print.ABSTRACTThe present study investigated the impact of real-time weather (air temperature, relative humidity, precipitation, wind speed, and solar radiation) on crash injury severity. Recent crash data (January 2016 to April 2021) on Interstate-75 in the state of Kentucky were merged with real-time weather information (retrieved from Kentucky Mesonet stations) at the 1-hour level. The severity index "SI" (i.e., the ratio of percent severe crashes to percent exposure of a specific weather state during the crash period) was introduced...
Source: Accident; Analysis and Prevention. - January 4, 2024 Category: Accident Prevention Authors: Bharat Kumar Pathivada Arunabha Banerjee Kirolos Haleem Source Type: research
Unraveling the differences in distracted driving injury severities in passenger car, sport utility vehicle, pickup truck, and minivan crashes
This study investigates into the severity of driver injuries resulting from distracted driving in these vehicle categories, shedding light on the variations in single-vehicle crashes. Focusing on single-vehicle crashes in Florida during 2019, involving passenger cars, SUVs, pickup trucks, and minivans caused by distracted driving, the study examines various distractions such as, electronic communication devices (cell phones), electronic devices (navigation systems, music players), internal and external disturbances, texting, and inattentive driving. To analyze the severity of injuries resulting from distracted driving in p...
Source: Accident; Analysis and Prevention. - January 3, 2024 Category: Accident Prevention Authors: Mouyid Islam Source Type: research
