A new method of temporal and spatial risk estimation for lane change considering conventional recognition defects
Publication date: December 2020Source: Accident Analysis & Prevention, Volume 148Author(s): Jiabin Wu, Huiying Wen, Weiwei Qi (Source: Accident Analysis and Prevention)
Source: Accident Analysis and Prevention - October 23, 2020 Category: Accident Prevention Source Type: research

Predicting driver takeover performance in conditionally automated driving
Publication date: December 2020Source: Accident Analysis & Prevention, Volume 148Author(s): Na Du, Feng Zhou, Elizabeth M. Pulver, Dawn M. Tilbury, Lionel P. Robert, Anuj K. Pradhan, X. Jessie Yang (Source: Accident Analysis and Prevention)
Source: Accident Analysis and Prevention - October 23, 2020 Category: Accident Prevention Source Type: research

Spatial heterogeneity analysis of macro-level crashes using geographically weighted Poisson quantile regression
Publication date: December 2020Source: Accident Analysis & Prevention, Volume 148Author(s): Jinjun Tang, Fan Gao, Fang Liu, Chunyang Han, Jaeyoung Lee (Source: Accident Analysis and Prevention)
Source: Accident Analysis and Prevention - October 23, 2020 Category: Accident Prevention Source Type: research

The impact of a passenger-safety-driven acceleration limit on the operation of a bus service
Publication date: December 2020Source: Accident Analysis & Prevention, Volume 148Author(s): Xenia Karekla, Konstantinos Gkiotsalitis, Nick Tyler (Source: Accident Analysis and Prevention)
Source: Accident Analysis and Prevention - October 23, 2020 Category: Accident Prevention Source Type: research

Developing Multivariate Time Series Models to Examine the Interrelations between Police Enforcement, Traffic Violations, and Traffic Crashes
Publication date: Available online 21 October 2020Source: Analytic Methods in Accident ResearchAuthor(s): Mingjie Feng, Xuesong Wang, Mohammed Quddus (Source: Analytic Methods in Accident Research)
Source: Analytic Methods in Accident Research - October 21, 2020 Category: Accident Prevention Source Type: research

Modeling pedestrian-injury severities in pedestrian-vehicle crashes considering spatiotemporal patterns: insights from different hierarchical Bayesian random-effects models
Publication date: Available online 20 October 2020Source: Analytic Methods in Accident ResearchAuthor(s): Li Song, Yang Li, Wei David Fan, Peijie Wu (Source: Analytic Methods in Accident Research)
Source: Analytic Methods in Accident Research - October 20, 2020 Category: Accident Prevention Source Type: research

Detecting, analysing, and modelling failed lane-changing attempts in traditional and connected environments
Publication date: Available online 20 October 2020Source: Analytic Methods in Accident ResearchAuthor(s): Yasir Ali, Zuduo Zheng, Md. Mazharul Haque, Mehmet Yildirimoglu, Simon Washington (Source: Analytic Methods in Accident Research)
Source: Analytic Methods in Accident Research - October 20, 2020 Category: Accident Prevention Source Type: research

Counting the costs: occupational injuries and illnesses among auto-artisans.
Authors: Adu-Gyamfi AB Abstract Although assessing the cost of workplace injuries and illnesses as part of occupational health and safety management is important in ensuring workplace safety, the issue is generally neglected among informal auto-artisans in Ghana. This paper examines the costs of occupational injuries and illnesses in terms of productivity, financial and social aspects of selected auto-artisans who service or fabricate auto parts in Suame 'Magazine' in Kumasi, Ghana. Employing a descriptive cross-sectional design, data were collected from 957 auto-artisans selected through a multistage cluster sampl...
Source: International Journal of Injury Control and Safety Promotion - October 20, 2020 Category: Accident Prevention Tags: Int J Inj Contr Saf Promot Source Type: research

Factors affecting the accident size of motorcycle-involved crashes: a structural equation modeling approach.
This study also showed the importance of considering the driver and road characteristics in safety programs for mitigating the crash severity. PMID: 33054665 [PubMed - as supplied by publisher] (Source: International Journal of Injury Control and Safety Promotion)
Source: International Journal of Injury Control and Safety Promotion - October 20, 2020 Category: Accident Prevention Tags: Int J Inj Contr Saf Promot Source Type: research

System providing automated feedback improves task learning outcomes during child restraint system (CRS) installations.
The objective was to build and test an automated, interactive educational system to teach adults how to install a child restraint system (CRS) into a vehicle seat. METHODS: The automated feedback system (AFS) consisted of a mockup vehicle fixture, convertible CRS, and doll. Sensors were implemented into the equipment so that forward-facing (FF) CRS installation errors could be detected. An interactive display monitor guided users through the CRS installation process and alerted them when steps were done incorrectly. Sixty adult volunteers were recruited and randomized into either the treatment group or the control gro...
Source: Traffic Injury Prevention - October 20, 2020 Category: Accident Prevention Authors: Mansfield JA, Bolte JH Tags: Traffic Inj Prev Source Type: research

Modelling two-vehicle crash severity by generalized estimating equations
Publication date: December 2020Source: Accident Analysis & Prevention, Volume 148Author(s): Yu-Chiun Chiou, Chiang Fu, Chia-Yen Ke (Source: Accident Analysis and Prevention)
Source: Accident Analysis and Prevention - October 19, 2020 Category: Accident Prevention Source Type: research

Modelling two-vehicle crash severity by generalized estimating equations.
Abstract The crash severity levels of two parties involved in a two-vehicle accident may differ markedly and may be correlated. Separately estimating the severity levels of two parties ignoring their potential correlation may lead to biased estimation; however, modelling their severity levels simultaneously by using a bivariate modelling approach requires a complex model setting. Thus, this study used generalized estimating equations (GEE) to accommodate potential correlations when estimating the crash severity levels of two parties. To investigate the performance of the GEE models, a case study on a total of 2493...
Source: Accident; Analysis and Prevention. - October 19, 2020 Category: Accident Prevention Authors: Chiou YC, Fu C, Ke CY Tags: Accid Anal Prev Source Type: research

Prediction of pedestrian-vehicle conflicts at signalized intersections based on long short-term memory neural network
Publication date: December 2020Source: Accident Analysis & Prevention, Volume 148Author(s): Shile Zhang, Mohamed Abdel-Aty, Qing Cai, Pei Li, Jorge Ugan (Source: Accident Analysis and Prevention)
Source: Accident Analysis and Prevention - October 18, 2020 Category: Accident Prevention Source Type: research

Effects of state-led suburbanization on traffic crash density in China: Evidence from the Chengdu City Proper
Publication date: December 2020Source: Accident Analysis & Prevention, Volume 148Author(s): Si Qiao, Anthony Gar-On Yeh, Mengzhu Zhang, Xiang Yan (Source: Accident Analysis and Prevention)
Source: Accident Analysis and Prevention - October 18, 2020 Category: Accident Prevention Source Type: research

Evasive behavior-based method for threat assessment in different scenarios: A novel framework for intelligent vehicle
Publication date: December 2020Source: Accident Analysis & Prevention, Volume 148Author(s): Huajian Zhou, Zhihua Zhong (Source: Accident Analysis and Prevention)
Source: Accident Analysis and Prevention - October 17, 2020 Category: Accident Prevention Source Type: research

Prediction of pedestrian-vehicle conflicts at signalized intersections based on long short-term memory neural network.
Abstract Pedestrian protection is an important component of road safety. Intersections are dangerous locations for pedestrians with mixed traffic. This paper aims to predict potential traffic conflicts between pedestrians and vehicles at signalized intersections. Using detection and tracking techniques in computer vision, pedestrians' and vehicles' features are extracted from video data. An LSTM (Long Short-term Memory) neural network is proposed to predict the pedestrian-vehicle conflicts 2 s ahead. The established model reaches an accuracy of 88.5 % at one signalized intersection. It is further tested at a new i...
Source: Accident; Analysis and Prevention. - October 17, 2020 Category: Accident Prevention Authors: Zhang S, Abdel-Aty M, Cai Q, Li P, Ugan J Tags: Accid Anal Prev Source Type: research

Prevalence of alcohol use among road traffic crash victims presenting to a Malawian Central Hospital: A cross-sectional study.
CONCLUSIONS: A large percentage of road traffic injured patients had been drinking alcohol before their injury, especially male pedestrians. A large proportion of the patients were abstaining from alcohol, but those not abstaining had a high prevalence both of alcohol use when injured and hazardous drinking identified by AUDIT-C. This has important implications for prevention. PMID: 33064031 [PubMed - as supplied by publisher] (Source: Traffic Injury Prevention)
Source: Traffic Injury Prevention - October 16, 2020 Category: Accident Prevention Authors: Sundet M, Kajombo C, Mulima G, Bogstrand ST, Varela C, Young S, Christophersen AS, Gjerde H Tags: Traffic Inj Prev Source Type: research

Effects of state-led suburbanization on traffic crash density in China: Evidence from the Chengdu City Proper.
This study fills this gap by quantifying the effects of built environment factors on neighborhood-level automobile-involved crash density (NACD) in urban China and identifying its mediators and mediating effects. In American suburbs, urban sprawl is widely recognized to render neighborhoods unsafe for residence, thus leading to a high crash incidence. This study compares the characteristics of built environments between inner-city neighborhoods and the new neighborhoods that have been developed through China's state-led suburbanization since 2008 to reveal how this suburbanization provides a safer neighborhood environment....
Source: Accident; Analysis and Prevention. - October 16, 2020 Category: Accident Prevention Authors: Qiao S, Gar-On Yeh A, Zhang M, Yan X Tags: Accid Anal Prev Source Type: research

Why the government should be blamed for road safety?
This study mainly aims to quantitatively examine the effects of government regulation on human and organizational factors. A contributing factors classification framework of RTA is presented based on one of the most popular systems approaches entitled human factors analysis and classification system (HFACS). A total of 405 major RTAs was collected over a 20-year period (1997-2017) in China and was analyzed through structural equation model (SEM). Results lead to following main conclusions. (1) The frequency of inadequate regulation, which has reached 343, obtains the highest frequency among all the contributing factors. (2...
Source: International Journal of Occupational Safety and Ergonomics - October 15, 2020 Category: Occupational Health Tags: Int J Occup Saf Ergon Source Type: research

A Frontal Neuropsychological Profile in Fitness to Drive
Publication date: December 2020Source: Accident Analysis & Prevention, Volume 148Author(s): Umberto León-Domínguez, Ignacio Solís-Marcos, Cristina Alejandra López-Delgado, Juan Manuel Barroso y Martín, José León-Carrión (Source: Accident Analysis and Prevention)
Source: Accident Analysis and Prevention - October 15, 2020 Category: Accident Prevention Source Type: research

Evasive behavior-based method for threat assessment in different scenarios: A novel framework for intelligent vehicle.
In this study, a novel threat assessment framework based on the driver's evasive behavior, namely the CPIC, is proposed, which integrates the crash probability (CP) and inevitable crash (IC) state to be widely used by different CAS in different scenarios. In the first step of the CPIC framework, the detailed evasive driver behavior models (E-DBMs) in the form of probability density functions (PDFs) were introduced to generate more realistic collision-avoidance trajectories. Two techniques for sampling these trajectories, namely the Markov Chain Monte Carlo (MCMC) and adaptive Gaussian mixture framework (GMM) methods, were ...
Source: Accident; Analysis and Prevention. - October 15, 2020 Category: Accident Prevention Authors: Zhou H, Zhong Z Tags: Accid Anal Prev Source Type: research

A study on cyclist head injuries based on an electric-bicycle to car accident reconstruction.
CONCLUSIONS: The results of accident reconstruction in this study case showed that: (1) The head impact region on the windshield in the E-bike-to-car impact accidents is higher than that in the pedestrian-to-car impact accidents. (2) The skull MPS, ICP, von-Mises stress and MPS of strain can accurately predict the head injury risk, location, etc. (3) The directly impact force caused the skull fracture, and the tensile inertial force torn bridge vein resulting in the subdural hematoma on the opposite side of impact in this accident. (4) The models developed in this study were validated against the reconstructed accident and...
Source: Traffic Injury Prevention - October 14, 2020 Category: Accident Prevention Authors: Gao W, Bai Z, Li H, Liu Y, Chou CC, Jiang B Tags: Traffic Inj Prev Source Type: research

A Frontal Neuropsychological Profile in Fitness to Drive.
cute;n JMBY, León-Carrión J Abstract Traffic accidents are a global concern due to the elevated mortality rates of both drivers and pedestrians. The World Health Organization declared 2011-2020 as the Decade of Action for Road Safety, endorsing initiatives to reduce traffic-related deaths. Yet, despite these incentives, fatal accidents still occur. Different studies have linked deficits in executive functions to risky driving attitudes and crashes. The present study focuses on demographic, cognitive and personality factors, related to the prefrontal cortex, that are characteristic of drivers prone to...
Source: Accident; Analysis and Prevention. - October 14, 2020 Category: Accident Prevention Authors: León-Domínguez U, Solís-Marcos I, López-Delgado CA, Martín JMBY, León-Carrión J Tags: Accid Anal Prev Source Type: research

Drivers' visual load at different time periods in entrance and exit zones of extra-long tunnel.
CONCLUSION: This study highlights the driving risk in extra-long tunnel. These findings could provide a basis for studying the setting method of visual guidance facilities in entrance and exit zones of extra-long tunnel. Also, this study could provide a theoretical basis for the evaluation of drivers' visual load in the tunnel. PMID: 33044875 [PubMed - as supplied by publisher] (Source: Traffic Injury Prevention)
Source: Traffic Injury Prevention - October 12, 2020 Category: Accident Prevention Authors: Wang S, Du Z, Jiao F, Zheng H, Ni Y Tags: Traffic Inj Prev Source Type: research

Automatic collision notification availability and emergency response times following vehicle collision-an analysis of the 2017 crash investigation sampling system.
CONCLUSIONS: This is the first study to directly compare EMS response-related times between collisions involving vehicles with and without ACN available. The current data corroborate prior literature reporting quicker EMS notification times among collisions involving ACN-equipped vehicles. This is the first study to find that ACN is also associated to quicker times to medical center arrival, particularly for collisions occurring in less urban areas. Future research examining whether these decreased times are associated with better clinical outcomes are needed in order to fully assess ACN's ability to prevent trauma-related...
Source: Traffic Injury Prevention - October 12, 2020 Category: Accident Prevention Authors: Griffin RL, Carroll S, Jansen JO Tags: Traffic Inj Prev Source Type: research

Towards activity-based exposure measures in spatial analysis of pedestrian–motor vehicle crashes
Publication date: December 2020Source: Accident Analysis & Prevention, Volume 148Author(s): Ni Dong, Fanyu Meng, Jie Zhang, S.C. Wong, Pengpeng Xu (Source: Accident Analysis and Prevention)
Source: Accident Analysis and Prevention - October 11, 2020 Category: Accident Prevention Source Type: research

Safety effectiveness and performance of lane support systems for driving assistance and automation – Experimental test and logistic regression for rare events
Publication date: December 2020Source: Accident Analysis & Prevention, Volume 148Author(s): Salvatore Cafiso, Giuseppina Pappalardo (Source: Accident Analysis and Prevention)
Source: Accident Analysis and Prevention - October 9, 2020 Category: Accident Prevention Source Type: research

Psychological Constructs Related to Seat Belt Use: A Nationally Representative Survey Study
Publication date: December 2020Source: Accident Analysis & Prevention, Volume 148Author(s): Anna C. Sheveland, Joseph N. Luchman, Jonathan Mendelson, Jingyuan Xie, Melissa A. Bleiberg, David W. Eby, Lisa J. Molnar, Bill R. Walton (Source: Accident Analysis and Prevention)
Source: Accident Analysis and Prevention - October 9, 2020 Category: Accident Prevention Source Type: research

Application of Quantile Mixed Model for modeling Traffic Barrier Crash Cost
Publication date: December 2020Source: Accident Analysis & Prevention, Volume 148Author(s): Mahdi Rezapour, Khaled Ksaibati, Milhan Moomen (Source: Accident Analysis and Prevention)
Source: Accident Analysis and Prevention - October 9, 2020 Category: Accident Prevention Source Type: research

Estimating the out-of-the-loop phenomenon from visual strategies during highly automated driving
Publication date: December 2020Source: Accident Analysis & Prevention, Volume 148Author(s): Damien Schnebelen, Camilo Charron, Franck Mars (Source: Accident Analysis and Prevention)
Source: Accident Analysis and Prevention - October 9, 2020 Category: Accident Prevention Source Type: research

The effect of motor control requirements on drivers’ eye-gaze pattern during automated driving
Publication date: December 2020Source: Accident Analysis & Prevention, Volume 148Author(s): Rafael C. Goncalves, Tyron L. Louw, Manuela Quaresma, Ruth Madigan, Natasha Merat (Source: Accident Analysis and Prevention)
Source: Accident Analysis and Prevention - October 9, 2020 Category: Accident Prevention Source Type: research

Editorial Board
Publication date: November 2020Source: Accident Analysis & Prevention, Volume 147Author(s): (Source: Accident Analysis and Prevention)
Source: Accident Analysis and Prevention - October 9, 2020 Category: Accident Prevention Source Type: research

Impact of cannabis and low alcohol concentration on divided attention tasks during driving.
CONCLUSIONS: With increasing medical and legal cannabis use, understanding the impact of acute cannabis use on driving performance, including divided-attention, is essential. These data indicate that impaired divided-attention performance is a safety concern. PMID: 33035082 [PubMed - as supplied by publisher] (Source: Traffic Injury Prevention)
Source: Traffic Injury Prevention - October 9, 2020 Category: Accident Prevention Authors: Miller RE, Brown TL, Lee S, Tibrewal I, Gaffney GG, Milavetz G, Hartman RL, Gorelick DA, Compton R, Huestis MA Tags: Traffic Inj Prev Source Type: research

The effect of motor control requirements on drivers' eye-gaze pattern during automated driving.
Abstract This driving simulator study compared drivers' eye movements during a series of lane-changes, which required different levels of motor control for their execution. Participants completed 12 lane-changing manoeuvres in three drives, categorised by degree of manual engagement with the driving task: Fully Manual Drive, Manual Intervention Required, Fully Automated Drive (Manual drive, Partial automation, Full automation). For Partial automation, drivers resumed control from the automated system and changed lane manually. For Full automation, the automated system managed the lane change, but participants init...
Source: Accident; Analysis and Prevention. - October 8, 2020 Category: Accident Prevention Authors: Goncalves RC, Louw TL, Quaresma M, Madigan R, Merat N Tags: Accid Anal Prev Source Type: research

Safety effectiveness and performance of lane support systems for driving assistance and automation - Experimental test and logistic regression for rare events.
Abstract As of 2022, lane-keeping assistance systems and other selected safety technologies will become mandatory in new European vehicles to increase safety for passengers, pedestrians and cyclists. Lane support systems (LSS) are based on advanced computer vision technologies and they are expected to give safety benefits in reducing Ran of Road and head-on crashes comparable to already consolidated physical countermeasures like rumble strips. Anyway, despite the assumed technology readiness, there is still much uncertainty regarding the needs of vision systems for "reading" the road and limited results ...
Source: Accident; Analysis and Prevention. - October 8, 2020 Category: Accident Prevention Authors: Cafiso S, Pappalardo G Tags: Accid Anal Prev Source Type: research

Application of Quantile Mixed Model for modeling Traffic Barrier Crash Cost.
This study highlights the changes in coefficient estimates while modeling crash costs. PMID: 33039818 [PubMed - as supplied by publisher] (Source: Accident; Analysis and Prevention.)
Source: Accident; Analysis and Prevention. - October 8, 2020 Category: Accident Prevention Authors: Rezapour M, Ksaibati K, Moomen M Tags: Accid Anal Prev Source Type: research

Estimating the out-of-the-loop phenomenon from visual strategies during highly automated driving.
This study scrutinized drivers' visual behaviour for 18 min of highly automated driving. Intersections between gaze and 13 areas of interest (AOIs) were analysed, considering both static and dynamic indicators. An estimation of self-reported mind wandering based on gaze behaviour was performed using partial least squares (PLS) regression models. The outputs of the PLS regressions allowed defining visual strategies associated with good monitoring of the driving scene. This information may enable online estimation of the OOTL phenomenon based on a driver's spontaneous visual behaviour. PMID: 33039817 [PubMed - as suppli...
Source: Accident; Analysis and Prevention. - October 8, 2020 Category: Accident Prevention Authors: Schnebelen D, Charron C, Mars F Tags: Accid Anal Prev Source Type: research

Modeling the causes-effect relationships among major accident predictors based on a fuzzy multi-criteria decision-making method.
CONCLUSIONS: Organizational factors and some of individual variables are the critical factors that affect the occurrence of accidents. Therefore, corrective actions for accident prevention should primarily focus on the correction of these variables. PMID: 33044212 [PubMed - as supplied by publisher] (Source: Work)
Source: Work - October 8, 2020 Category: Occupational Health Authors: Mohammadfam I, Aliabadi MM, Soltanian AR, Mahdinia M Tags: Work Source Type: research

Effects of advanced warning information systems on secondary crash risk under connected vehicle environment
Publication date: December 2020Source: Accident Analysis & Prevention, Volume 148Author(s): Seung-oh Son, Jeongho Jeong, Seongmin Park, Juneyoung Park (Source: Accident Analysis and Prevention)
Source: Accident Analysis and Prevention - October 7, 2020 Category: Accident Prevention Source Type: research

Health status and quality of life among road users with permanent medical impairment several years after the crash.
CONCLUSIONS: The Swedish definition of serious injury, an injury leading to PMI, was found to correlate with self-reported health loss; 85% of the injured road-users reported that they still had remaining symptoms several years after the accident. The injured body region leading to PMI after an accident can vary from the body regions reported to cause long-term health loss. It was found that the higher the degree of PMI the higher the health loss. Sustaining a PMI regardless severity and injured body region has the same effects on general health for men and women. Sustaining a PMI will both lower the health-related quality...
Source: Traffic Injury Prevention - October 7, 2020 Category: Accident Prevention Authors: Stigson H, Boström M, Kullgren A Tags: Traffic Inj Prev Source Type: research

Are helmeted cyclists taking more risk at signalized intersections?
CONCLUSIONS: The results do not provide support for the position that promoting or mandating bicycle helmet use will have adverse safety effects because of more risky behavior among helmeted cyclists. PMID: 33026846 [PubMed - as supplied by publisher] (Source: Traffic Injury Prevention)
Source: Traffic Injury Prevention - October 7, 2020 Category: Accident Prevention Authors: Høye AK, Jensen ML, Sørensen MWJ Tags: Traffic Inj Prev Source Type: research

Red-light running behavior of delivery-service E-cyclists based on survival analysis.
CONCLUSIONS: Waiting position, violation of the law by other cyclists, and group size play an important role in red-right running behavior. The hazard rates of running red-light by delivery-service E-cyclists increased by 62% and 33% when they wait near motorized lanes and when other individuals violate traffic rules, respectively. The hazard rates reduced by 50% when there are more than five waiting cyclists. PMID: 33026838 [PubMed - as supplied by publisher] (Source: Traffic Injury Prevention)
Source: Traffic Injury Prevention - October 7, 2020 Category: Accident Prevention Authors: Gao X, Zhao J, Gao H Tags: Traffic Inj Prev Source Type: research

Considering real-world sightline obstructions in crash and injury prevention estimates for left turn across path/opposite direction intersection active safety systems.
CONCLUSIONS: This study quantified the sightline obstruction ratio, an important parameter needed to evaluate intersection active safety systems. This study also establishes a baseline for evaluating the presence of sightline obstructions in a future naturalistic driving study when road infrastructure has changed. PMID: 33026259 [PubMed - as supplied by publisher] (Source: Traffic Injury Prevention)
Source: Traffic Injury Prevention - October 7, 2020 Category: Accident Prevention Authors: Bareiss M, Gabler HC, Sherony R Tags: Traffic Inj Prev Source Type: research

Psychological Constructs Related to Seat Belt Use: A Nationally Representative Survey Study.
In this study, we examined some of these potential psychological predictors. A probability-based web survey was conducted with 6,038 U.S. residents aged 16 or older who reported having driven or ridden in a car in the past year. We measured self-reported seat belt use and 18 psychological constructs and found that delay of gratification, life satisfaction, risk aversion, risk perception, and resistance to peer influence were positively associated with belt use. Impulsivity and social resistance orientation were negatively associated with belt use. Prior research has shown that psychological factors like delay of gratificat...
Source: Accident; Analysis and Prevention. - October 7, 2020 Category: Accident Prevention Authors: Sheveland AC, Luchman JN, Mendelson J, Xie J, Bleiberg MA, Eby DW, Molnar LJ, Walton BR Tags: Accid Anal Prev Source Type: research

Analysis of pedestrian-vehicle crash injury severity factors in Colorado 2006–2016
Publication date: December 2020Source: Accident Analysis & Prevention, Volume 148Author(s): Ghazal Batouli, Manze Guo, Bruce Janson, Wesley Marshall (Source: Accident Analysis and Prevention)
Source: Accident Analysis and Prevention - October 6, 2020 Category: Accident Prevention Source Type: research

Effects of advanced warning information systems on secondary crash risk under connected vehicle environment.
This study evaluated the impact of an optimal in-vehicle advanced warning information service in a connected vehicle (CV) environment to prevent secondary crashes. Driving simulation experiments were designed and performed to analyze driving behavior. The forward crash situation was reproduced in a simulated highway environment, and the safety effects were assessed based on simulation data from a driving simulator (DS). To explore and analyze the effectiveness of crash notifications from the advanced warning information system (AWIS) for preventing secondary crashes, this study utilized repeated measures of multivariate an...
Source: Accident; Analysis and Prevention. - October 6, 2020 Category: Accident Prevention Authors: Son SO, Jeong J, Park S, Park J Tags: Accid Anal Prev Source Type: research

Fuzzy Surrogate Safety Metrics for real-time assessment of rear-end collision risk. A study based on empirical observations
Publication date: December 2020Source: Accident Analysis & Prevention, Volume 148Author(s): Konstantinos Mattas, Michail Makridis, George Botzoris, Akos Kriston, Fabrizio Minarini, Basil Papadopoulos, Fabrizio Re, Greger Rognelund, Biagio Ciuffo (Source: Accident Analysis and Prevention)
Source: Accident Analysis and Prevention - October 5, 2020 Category: Accident Prevention Source Type: research

How do drivers respond to driving risk during car-following? Risk-response driver model and its application in human-like longitudinal control
Publication date: December 2020Source: Accident Analysis & Prevention, Volume 148Author(s): Xiaocong Zhao, Ren He, Jianqiang Wang (Source: Accident Analysis and Prevention)
Source: Accident Analysis and Prevention - October 4, 2020 Category: Accident Prevention Source Type: research

Traffic safety meta-analysis of reversible lanes
Publication date: December 2020Source: Accident Analysis & Prevention, Volume 148Author(s): Aaron Manuel, Alexandre de Barros, Richard Tay (Source: Accident Analysis and Prevention)
Source: Accident Analysis and Prevention - October 4, 2020 Category: Accident Prevention Source Type: research

Attributions of accidents to “human error” in news stories: Effects on perceived culpability, perceived preventability, and perceived need for punishment
Publication date: December 2020Source: Accident Analysis & Prevention, Volume 148Author(s): Michael A. Nees, Nithya Sharma, Ava Shore (Source: Accident Analysis and Prevention)
Source: Accident Analysis and Prevention - October 4, 2020 Category: Accident Prevention Source Type: research