Lateral safety evaluation of autonomous trucks in overtaking maneuvers and adverse weather: Exploratory comparison of different lateral control modes
This study provides crucial insights for future considerations integrating road longevity and truck safety in a collaborative manner, and the proposed methodology has broad applications.PMID:38479204 | DOI:10.1016/j.aap.2024.107540 (Source: Accident; Analysis and Prevention.)
Source: Accident; Analysis and Prevention. - March 13, 2024 Category: Accident Prevention Authors: Jilong Chen Feng Chen Suiyang Zhao Source Type: research
Heterogeneity in crash data: A cross comparison between ordered probability model and its variant using crashes at suburban type arterial
This study uses state-of-the-art methodologies to model the injury severity of traffic crashes that occurred on a specific road segment, namely, a suburban-type road (STR), simultaneously addressing issues related to unobserved heterogeneity in data. Multiple heterogeneity ordered probit models are evaluated against Ohio crash data from the Highway Safety Information System (HSIS). The findings reveal the heterogeneous nature of some variables, such as the nighttime indicator, and demonstrate the distinctive feature of each model to capture the effect of unobserved heterogeneity in analyzing data with such variables. Furth...
Source: Accident; Analysis and Prevention. - March 12, 2024 Category: Accident Prevention Authors: Bedan Khanal Anahita Zahertar Steven Lavrenz Source Type: research
Development and classification of autonomous vehicle's ambiguous driving scenario
Accid Anal Prev. 2024 Mar 11;200:107501. doi: 10.1016/j.aap.2024.107501. Online ahead of print.ABSTRACTHuman drivers are gradually being replaced by highly automated driving systems, and this trend is expected to persist. The response of autonomous vehicles to Ambiguous Driving Scenarios (ADS) is crucial for legal and safety reasons. Our research focuses on establishing a robust framework for developing ADS in autonomous vehicles and classifying them based on AV user perceptions. To achieve this, we conducted extensive literature reviews, in-depth interviews with industry experts, a comprehensive questionnaire survey, and ...
Source: Accident; Analysis and Prevention. - March 12, 2024 Category: Accident Prevention Authors: Tiju Baby Hatice Şahin Ippoliti Philipp Wintersberger Yiqi Zhang Sol Hee Yoon Jieun Lee Seul Chan Lee Source Type: research
On the impact of on-road partially-automated driving on drivers' cognitive workload and attention allocation
In this study, 30 Ontario drivers operated a vehicle in manual and partially-automated mode. Cognitive workload was measured by means of the Detection Response Task, and visual attention was measured by means of coding glances on and off the forward roadway. No difference in cognitive workload was found between driving modes. However, drivers spent less time glancing at the forward roadway, and more time glancing at the vehicle's touchscreen. These data add to our knowledge of how vehicle automation affects cognitive workload and attention allocation, and show potential safety risks associated with the adoption of partiall...
Source: Accident; Analysis and Prevention. - March 12, 2024 Category: Accident Prevention Authors: Francesco N Biondi Noor Jajo Source Type: research
Effects of road width, radii and speeds on collisions at three-arm priority intersections
Accid Anal Prev. 2024 Mar 8;199:107522. doi: 10.1016/j.aap.2024.107522. Online ahead of print.ABSTRACTSimulation and observational studies have identified the importance of intersection geometries and vehicle speeds in collisions. However, the causal mechanisms of such collisions in low-speed areas and for different collision types remain unclear. This observational study investigates the complex relationships between geometries, speeds, visibilities, and road traffic collisions in the context of low-speed urban areas.Data were collected from 120 three-arm priority intersections in Portsmouth, UK. In 2007, Portsmouth becam...
Source: Accident; Analysis and Prevention. - March 9, 2024 Category: Accident Prevention Authors: Mustafa Ekmekci Lee Woods Nima Dadashzadeh Source Type: research
Effects of road width, radii and speeds on collisions at three-arm priority intersections
Accid Anal Prev. 2024 Mar 8;199:107522. doi: 10.1016/j.aap.2024.107522. Online ahead of print.ABSTRACTSimulation and observational studies have identified the importance of intersection geometries and vehicle speeds in collisions. However, the causal mechanisms of such collisions in low-speed areas and for different collision types remain unclear. This observational study investigates the complex relationships between geometries, speeds, visibilities, and road traffic collisions in the context of low-speed urban areas.Data were collected from 120 three-arm priority intersections in Portsmouth, UK. In 2007, Portsmouth becam...
Source: Accident; Analysis and Prevention. - March 9, 2024 Category: Accident Prevention Authors: Mustafa Ekmekci Lee Woods Nima Dadashzadeh Source Type: research
Effects of road width, radii and speeds on collisions at three-arm priority intersections
Accid Anal Prev. 2024 Mar 8;199:107522. doi: 10.1016/j.aap.2024.107522. Online ahead of print.ABSTRACTSimulation and observational studies have identified the importance of intersection geometries and vehicle speeds in collisions. However, the causal mechanisms of such collisions in low-speed areas and for different collision types remain unclear. This observational study investigates the complex relationships between geometries, speeds, visibilities, and road traffic collisions in the context of low-speed urban areas.Data were collected from 120 three-arm priority intersections in Portsmouth, UK. In 2007, Portsmouth becam...
Source: Accident; Analysis and Prevention. - March 9, 2024 Category: Accident Prevention Authors: Mustafa Ekmekci Lee Woods Nima Dadashzadeh Source Type: research
A systematic review of the use of in-vehicle telematics in monitoring driving behaviours
CONCLUSION: We recommend that future studies provide the demographical information of their sample so that the influence of in-vehicle telematics on the driving behaviours of different groups can be understood. It is also recommended that future studies use multi-level models to account for the hierarchical structure of the telematics data. This hierarchical structure refers to the individual trips for each driver.PMID:38458008 | DOI:10.1016/j.aap.2024.107519 (Source: Accident; Analysis and Prevention.)
Source: Accident; Analysis and Prevention. - March 8, 2024 Category: Accident Prevention Authors: James Boylan Denny Meyer Won Sun Chen Source Type: research
Assessing the Negative Binomial-Lindley model for crash hotspot identification: Insights from Monte Carlo simulation analysis
Accid Anal Prev. 2024 Mar 7;199:107478. doi: 10.1016/j.aap.2024.107478. Online ahead of print.ABSTRACTIdentifying hazardous crash sites (or hotspots) is a crucial step in highway safety management. The Negative Binomial (NB) model is the most common model used in safety analyses and evaluations - including hotspot identification. The NB model, however, is not without limitations. In fact, this model does not perform well when data are highly dispersed, include excess zero observations, or have a long tail. Recently, the Negative Binomial-Lindley (NB-L) model has been proposed as an alternative to the NB. The NB-L model ove...
Source: Accident; Analysis and Prevention. - March 8, 2024 Category: Accident Prevention Authors: Jhan Kevin Gil-Marin Mohammadali Shirazi John N Ivan Source Type: research
A systematic review of the use of in-vehicle telematics in monitoring driving behaviours
CONCLUSION: We recommend that future studies provide the demographical information of their sample so that the influence of in-vehicle telematics on the driving behaviours of different groups can be understood. It is also recommended that future studies use multi-level models to account for the hierarchical structure of the telematics data. This hierarchical structure refers to the individual trips for each driver.PMID:38458008 | DOI:10.1016/j.aap.2024.107519 (Source: Accident; Analysis and Prevention.)
Source: Accident; Analysis and Prevention. - March 8, 2024 Category: Accident Prevention Authors: James Boylan Denny Meyer Won Sun Chen Source Type: research
Assessing the Negative Binomial-Lindley model for crash hotspot identification: Insights from Monte Carlo simulation analysis
Accid Anal Prev. 2024 Mar 7;199:107478. doi: 10.1016/j.aap.2024.107478. Online ahead of print.ABSTRACTIdentifying hazardous crash sites (or hotspots) is a crucial step in highway safety management. The Negative Binomial (NB) model is the most common model used in safety analyses and evaluations - including hotspot identification. The NB model, however, is not without limitations. In fact, this model does not perform well when data are highly dispersed, include excess zero observations, or have a long tail. Recently, the Negative Binomial-Lindley (NB-L) model has been proposed as an alternative to the NB. The NB-L model ove...
Source: Accident; Analysis and Prevention. - March 8, 2024 Category: Accident Prevention Authors: Jhan Kevin Gil-Marin Mohammadali Shirazi John N Ivan Source Type: research
Crash modification factors for high friction surface treatment on horizontal curves of two-lane highways: A combined propensity scores matching and empirical Bayes before-after approach
Accid Anal Prev. 2024 Mar 5;199:107536. doi: 10.1016/j.aap.2024.107536. Online ahead of print.ABSTRACTHorizontal curves are locations that, as a result of the changing alignment, may be a contributing factor in roadway departure crashes. One low-cost countermeasure to mitigate crashes at these locations is the installation of the high friction surface treatment (HFST), which increases roadway friction and is intended to help keep drivers on the roadway when traversing a horizontal curve. This treatment has been implemented at numerous curves in Pennsylvania, but the overall safety effectiveness is not known. The purpose of...
Source: Accident; Analysis and Prevention. - March 6, 2024 Category: Accident Prevention Authors: Vikash V Gayah Eric T Donnell Pengxiang Zhang Source Type: research
Geographically weighted machine learning for modeling spatial heterogeneity in traffic crash frequency and determinants in US
This study makes the best of Geographically Weighted Random Forest (GW-RF) model to explore the local associations between crash frequency and various influencing factors in the US, including road network attributes, socio-economic characteristics, and land use factors collected from multiple data sources. Special emphasis is put on modeling the spatial heterogeneity in the effects of a factor on crash frequency in different geographical areas in a data-driven way. The GW-RF model outperforms global models (e.g. Random Forest) and conventional geographically weighted regression, demonstrating superior predictive accuracy a...
Source: Accident; Analysis and Prevention. - March 6, 2024 Category: Accident Prevention Authors: Shuli Wang Kun Gao Lanfang Zhang Bo Yu Said M Easa Source Type: research
Crash modification factors for high friction surface treatment on horizontal curves of two-lane highways: A combined propensity scores matching and empirical Bayes before-after approach
Accid Anal Prev. 2024 Mar 5;199:107536. doi: 10.1016/j.aap.2024.107536. Online ahead of print.ABSTRACTHorizontal curves are locations that, as a result of the changing alignment, may be a contributing factor in roadway departure crashes. One low-cost countermeasure to mitigate crashes at these locations is the installation of the high friction surface treatment (HFST), which increases roadway friction and is intended to help keep drivers on the roadway when traversing a horizontal curve. This treatment has been implemented at numerous curves in Pennsylvania, but the overall safety effectiveness is not known. The purpose of...
Source: Accident; Analysis and Prevention. - March 6, 2024 Category: Accident Prevention Authors: Vikash V Gayah Eric T Donnell Pengxiang Zhang Source Type: research
Geographically weighted machine learning for modeling spatial heterogeneity in traffic crash frequency and determinants in US
This study makes the best of Geographically Weighted Random Forest (GW-RF) model to explore the local associations between crash frequency and various influencing factors in the US, including road network attributes, socio-economic characteristics, and land use factors collected from multiple data sources. Special emphasis is put on modeling the spatial heterogeneity in the effects of a factor on crash frequency in different geographical areas in a data-driven way. The GW-RF model outperforms global models (e.g. Random Forest) and conventional geographically weighted regression, demonstrating superior predictive accuracy a...
Source: Accident; Analysis and Prevention. - March 6, 2024 Category: Accident Prevention Authors: Shuli Wang Kun Gao Lanfang Zhang Bo Yu Said M Easa Source Type: research
