Evaluation of the 30km/h speed limit trial in the City of Yarra, Melbourne, Australia
CONCLUSION: The findings give support for the likely safety benefits of the 30 km/h trial with increased support from the residents. Speed reductions in the control region suggested a carry-over of the effects of the trial but also added support by local residents for reduced speed limits in the region. Potential injury savings were estimated at a 4% reduction in the risk of a pedestrian injury from the observed treatment effect in the trial region.PMID:33849362 | DOI:10.1080/15389588.2021.1895990 (Source: Traffic Injury Prevention)
Source: Traffic Injury Prevention - April 14, 2021 Category: Accident Prevention Authors: B Lawrence B Fildes L Thompson J Cook S Newstead Source Type: research

Sleep-deprived car-following: Indicators of rear-end crash potential
Publication date: June 2021Source: Accident Analysis & Prevention, Volume 156Author(s): Kirti Mahajan, Nagendra R. Velaga (Source: Accident Analysis and Prevention)
Source: Accident Analysis and Prevention - April 13, 2021 Category: Accident Prevention Source Type: research

Fuzzy analysis of students' perception of traffic safety in school environments: the case of a small Brazilian city
Int J Inj Contr Saf Promot. 2021 Apr 12:1-11. doi: 10.1080/17457300.2021.1909625. Online ahead of print.ABSTRACTThousands of lives are lost every year due to traffic accidents worldwide, and youths are the most affected. The goal of this paper is to analyze the differences in young students' perceptions about traffic safety in school surroundings in order to help in the formulation of public policies and the development of infrastructure to make school travels safer. A questionnaire was used to obtain the perception of high school students from institutions with different urban characteristics. Data modelling with fuzzy lo...
Source: International Journal of Injury Control and Safety Promotion - April 13, 2021 Category: Accident Prevention Authors: Let ícia Oestreich T ânia Batistela Torres Alejandro Ruiz-Padillo Source Type: research

Toward a crowdsourcing solution to identify high-risk highway segments through mining driving jerks
This study reports on a new crowdsourcing solution to identify high-risk highway segments by analyzing driving jerks. Driving jerks represent the abrupt changes of acceleration, which have been shown to be closely related to traffic risks. In this study, we first calculate driving jerks from each participant's naturalistic driving data and identify "unsafe" drivers based on their jerk-ratio. Then, we innovatively propose an improved line-constrained clustering method to identify each participant's jerk clusters on each road. These individual-specific jerk clusters are overlapped with road networks to identify pot...
Source: Accident; Analysis and Prevention. - April 13, 2021 Category: Accident Prevention Authors: Xiao Li Seyedeh Maryam Mousavi Bahar Dadashova Dominique Lord Brian Wolshon Source Type: research

Using long short term memory and convolutional neural networks for driver drowsiness detection
Accid Anal Prev. 2021 Apr 10;156:106107. doi: 10.1016/j.aap.2021.106107. Online ahead of print.ABSTRACTFatigue negatively affects the safety and performance of drivers on the road. In fact, drowsiness and fatigue are the cause of a substantial number of motor vehicle accidents. Drowsiness among the drivers can be detected using variety of modalities, including electroencephalogram (EEG), eye movement, and vehicle driving dynamics. Among these EEG is highly accurate but very intrusive and cumbersome. On the other hand, vehicle driving dynamics are very easy to acquire but accuracy is not very high. Eye movement based approa...
Source: Accident; Analysis and Prevention. - April 13, 2021 Category: Accident Prevention Authors: Azhar Quddus Ali Shahidi Zandi Laura Prest Felix J E Comeau Source Type: research

Rule discovery to identify patterns contributing to overrepresentation and severity of run-off-the-road crashes
Accid Anal Prev. 2021 Apr 10;155:106119. doi: 10.1016/j.aap.2021.106119. Online ahead of print.ABSTRACTThe main objective of this paper was to analyse the roadway, environmental, and driver-related factors associated with an overrepresentation of frequency and severity of run-off-the-road (ROR) crashes. The data used in this study refer to the 6167 crashes occurred in the section Naples-Candela of A16 motorway, Italy in the period from 2001 to 2011. The analysis was carried out using the rule discovery technique due to its ability of extracting knowledge from large amounts of data previously unknown and indistinguishable b...
Source: Accident; Analysis and Prevention. - April 13, 2021 Category: Accident Prevention Authors: Alfonso Montella Filomena Mauriello Mariano Pernetti Maria Rella Riccardi Source Type: research

Fuzzy analysis of students' perception of traffic safety in school environments: the case of a small Brazilian city
Int J Inj Contr Saf Promot. 2021 Apr 12:1-11. doi: 10.1080/17457300.2021.1909625. Online ahead of print.ABSTRACTThousands of lives are lost every year due to traffic accidents worldwide, and youths are the most affected. The goal of this paper is to analyze the differences in young students' perceptions about traffic safety in school surroundings in order to help in the formulation of public policies and the development of infrastructure to make school travels safer. A questionnaire was used to obtain the perception of high school students from institutions with different urban characteristics. Data modelling with fuzzy lo...
Source: International Journal of Injury Control and Safety Promotion - April 13, 2021 Category: Accident Prevention Authors: Let ícia Oestreich T ânia Batistela Torres Alejandro Ruiz-Padillo Source Type: research

Rule discovery to identify patterns contributing to overrepresentation and severity of run-off-the-road crashes
Accid Anal Prev. 2021 Apr 10;155:106119. doi: 10.1016/j.aap.2021.106119. Online ahead of print.ABSTRACTThe main objective of this paper was to analyse the roadway, environmental, and driver-related factors associated with an overrepresentation of frequency and severity of run-off-the-road (ROR) crashes. The data used in this study refer to the 6167 crashes occurred in the section Naples-Candela of A16 motorway, Italy in the period from 2001 to 2011. The analysis was carried out using the rule discovery technique due to its ability of extracting knowledge from large amounts of data previously unknown and indistinguishable b...
Source: Accident; Analysis and Prevention. - April 13, 2021 Category: Accident Prevention Authors: Alfonso Montella Filomena Mauriello Mariano Pernetti Maria Rella Riccardi Source Type: research

Toward a crowdsourcing solution to identify high-risk highway segments through mining driving jerks
This study reports on a new crowdsourcing solution to identify high-risk highway segments by analyzing driving jerks. Driving jerks represent the abrupt changes of acceleration, which have been shown to be closely related to traffic risks. In this study, we first calculate driving jerks from each participant's naturalistic driving data and identify "unsafe" drivers based on their jerk-ratio. Then, we innovatively propose an improved line-constrained clustering method to identify each participant's jerk clusters on each road. These individual-specific jerk clusters are overlapped with road networks to identify pot...
Source: Accident; Analysis and Prevention. - April 13, 2021 Category: Accident Prevention Authors: Xiao Li Seyedeh Maryam Mousavi Bahar Dadashova Dominique Lord Brian Wolshon Source Type: research

Using long short term memory and convolutional neural networks for driver drowsiness detection
Accid Anal Prev. 2021 Apr 10;156:106107. doi: 10.1016/j.aap.2021.106107. Online ahead of print.ABSTRACTFatigue negatively affects the safety and performance of drivers on the road. In fact, drowsiness and fatigue are the cause of a substantial number of motor vehicle accidents. Drowsiness among the drivers can be detected using variety of modalities, including electroencephalogram (EEG), eye movement, and vehicle driving dynamics. Among these EEG is highly accurate but very intrusive and cumbersome. On the other hand, vehicle driving dynamics are very easy to acquire but accuracy is not very high. Eye movement based approa...
Source: Accident; Analysis and Prevention. - April 13, 2021 Category: Accident Prevention Authors: Azhar Quddus Ali Shahidi Zandi Laura Prest Felix J E Comeau Source Type: research

Fuzzy analysis of students' perception of traffic safety in school environments: the case of a small Brazilian city
Int J Inj Contr Saf Promot. 2021 Apr 12:1-11. doi: 10.1080/17457300.2021.1909625. Online ahead of print.ABSTRACTThousands of lives are lost every year due to traffic accidents worldwide, and youths are the most affected. The goal of this paper is to analyze the differences in young students' perceptions about traffic safety in school surroundings in order to help in the formulation of public policies and the development of infrastructure to make school travels safer. A questionnaire was used to obtain the perception of high school students from institutions with different urban characteristics. Data modelling with fuzzy lo...
Source: International Journal of Injury Control and Safety Promotion - April 13, 2021 Category: Accident Prevention Authors: Let ícia Oestreich T ânia Batistela Torres Alejandro Ruiz-Padillo Source Type: research

Using long short term memory and convolutional neural networks for driver drowsiness detection
Accid Anal Prev. 2021 Apr 10;156:106107. doi: 10.1016/j.aap.2021.106107. Online ahead of print.ABSTRACTFatigue negatively affects the safety and performance of drivers on the road. In fact, drowsiness and fatigue are the cause of a substantial number of motor vehicle accidents. Drowsiness among the drivers can be detected using variety of modalities, including electroencephalogram (EEG), eye movement, and vehicle driving dynamics. Among these EEG is highly accurate but very intrusive and cumbersome. On the other hand, vehicle driving dynamics are very easy to acquire but accuracy is not very high. Eye movement based approa...
Source: Accident; Analysis and Prevention. - April 13, 2021 Category: Accident Prevention Authors: Azhar Quddus Ali Shahidi Zandi Laura Prest Felix J E Comeau Source Type: research

Toward a crowdsourcing solution to identify high-risk highway segments through mining driving jerks
This study reports on a new crowdsourcing solution to identify high-risk highway segments by analyzing driving jerks. Driving jerks represent the abrupt changes of acceleration, which have been shown to be closely related to traffic risks. In this study, we first calculate driving jerks from each participant's naturalistic driving data and identify "unsafe" drivers based on their jerk-ratio. Then, we innovatively propose an improved line-constrained clustering method to identify each participant's jerk clusters on each road. These individual-specific jerk clusters are overlapped with road networks to identify pot...
Source: Accident; Analysis and Prevention. - April 13, 2021 Category: Accident Prevention Authors: Xiao Li Seyedeh Maryam Mousavi Bahar Dadashova Dominique Lord Brian Wolshon Source Type: research

Rule discovery to identify patterns contributing to overrepresentation and severity of run-off-the-road crashes
Accid Anal Prev. 2021 Apr 10;155:106119. doi: 10.1016/j.aap.2021.106119. Online ahead of print.ABSTRACTThe main objective of this paper was to analyse the roadway, environmental, and driver-related factors associated with an overrepresentation of frequency and severity of run-off-the-road (ROR) crashes. The data used in this study refer to the 6167 crashes occurred in the section Naples-Candela of A16 motorway, Italy in the period from 2001 to 2011. The analysis was carried out using the rule discovery technique due to its ability of extracting knowledge from large amounts of data previously unknown and indistinguishable b...
Source: Accident; Analysis and Prevention. - April 13, 2021 Category: Accident Prevention Authors: Alfonso Montella Filomena Mauriello Mariano Pernetti Maria Rella Riccardi Source Type: research

Fuzzy analysis of students' perception of traffic safety in school environments: the case of a small Brazilian city
Int J Inj Contr Saf Promot. 2021 Apr 12:1-11. doi: 10.1080/17457300.2021.1909625. Online ahead of print.ABSTRACTThousands of lives are lost every year due to traffic accidents worldwide, and youths are the most affected. The goal of this paper is to analyze the differences in young students' perceptions about traffic safety in school surroundings in order to help in the formulation of public policies and the development of infrastructure to make school travels safer. A questionnaire was used to obtain the perception of high school students from institutions with different urban characteristics. Data modelling with fuzzy lo...
Source: International Journal of Injury Control and Safety Promotion - April 13, 2021 Category: Accident Prevention Authors: Let ícia Oestreich T ânia Batistela Torres Alejandro Ruiz-Padillo Source Type: research

Toward a crowdsourcing solution to identify high-risk highway segments through mining driving jerks
Publication date: June 2021Source: Accident Analysis & Prevention, Volume 155Author(s): Xiao Li, Seyedeh Maryam Mousavi, Bahar Dadashova, Dominique Lord, Brian Wolshon (Source: Accident Analysis and Prevention)
Source: Accident Analysis and Prevention - April 13, 2021 Category: Accident Prevention Source Type: research

Using long short term memory and convolutional neural networks for driver drowsiness detection
Publication date: June 2021Source: Accident Analysis & Prevention, Volume 156Author(s): Azhar Quddus, Ali Shahidi Zandi, Laura Prest, Felix J.E. Comeau (Source: Accident Analysis and Prevention)
Source: Accident Analysis and Prevention - April 11, 2021 Category: Accident Prevention Source Type: research

Rule discovery to identify patterns contributing to overrepresentation and severity of run-off-the-road crashes
Publication date: June 2021Source: Accident Analysis & Prevention, Volume 155Author(s): Alfonso Montella, Filomena Mauriello, Mariano Pernetti, Maria Rella Riccardi (Source: Accident Analysis and Prevention)
Source: Accident Analysis and Prevention - April 11, 2021 Category: Accident Prevention Source Type: research

Speed violation analysis of heavy vehicles on highways using spatial analysis and machine learning algorithms
In this study, data regarding the speed violations committed by heavy vehicles in Turkey, were used. Speed violations were divided into 10 classes according to the intensity of speed violation rates. After this process, all provinces were classified according to support vector machines (SVM), naive bayes (NB) and k-nearest neighbors (KNN) algorithms. When the accuracy values and error scales of all three algorithms are examined, it has been determined that the algorithm that gives the most accurate results is the NB algorithm. Based on the classification of this algorithm, speed violation density maps of types of heavy veh...
Source: Accident; Analysis and Prevention. - April 10, 2021 Category: Accident Prevention Authors: Emre Ku şkapan M Yasin Çodur Ahmet Atalay Source Type: research

Speed violation analysis of heavy vehicles on highways using spatial analysis and machine learning algorithms
In this study, data regarding the speed violations committed by heavy vehicles in Turkey, were used. Speed violations were divided into 10 classes according to the intensity of speed violation rates. After this process, all provinces were classified according to support vector machines (SVM), naive bayes (NB) and k-nearest neighbors (KNN) algorithms. When the accuracy values and error scales of all three algorithms are examined, it has been determined that the algorithm that gives the most accurate results is the NB algorithm. Based on the classification of this algorithm, speed violation density maps of types of heavy veh...
Source: Accident; Analysis and Prevention. - April 10, 2021 Category: Accident Prevention Authors: Emre Ku şkapan M Yasin Çodur Ahmet Atalay Source Type: research

Speed violation analysis of heavy vehicles on highways using spatial analysis and machine learning algorithms
In this study, data regarding the speed violations committed by heavy vehicles in Turkey, were used. Speed violations were divided into 10 classes according to the intensity of speed violation rates. After this process, all provinces were classified according to support vector machines (SVM), naive bayes (NB) and k-nearest neighbors (KNN) algorithms. When the accuracy values and error scales of all three algorithms are examined, it has been determined that the algorithm that gives the most accurate results is the NB algorithm. Based on the classification of this algorithm, speed violation density maps of types of heavy veh...
Source: Accident; Analysis and Prevention. - April 10, 2021 Category: Accident Prevention Authors: Emre Ku şkapan M Yasin Çodur Ahmet Atalay Source Type: research

Exploring the Effects of Area-Level Factors on Traffic Crash Frequency by Severity using Multivariate Space-Time Models
Publication date: Available online 9 April 2021Source: Analytic Methods in Accident ResearchAuthor(s): Amin Azimian, V. Dimitra Pyrialakou, Steven Lavrenz, Sijin Wen (Source: Analytic Methods in Accident Research)
Source: Analytic Methods in Accident Research - April 10, 2021 Category: Accident Prevention Source Type: research

A random parameter negative binomial model for signalized intersection accidents in Seoul, Korea
Int J Inj Contr Saf Promot. 2021 Apr 9:1-11. doi: 10.1080/17457300.2021.1907594. Online ahead of print.ABSTRACTA variety of statistical models were generally considered to better understand the relationship between crash occurrences and diverse factors. However, most of statistical models adapted fixed parameters which cannot incorporate time variation or sement-specific effects. To relieve this problem, this study focuses on a traffic accident frequency model using a random parameter negative binomial approach. This method allows for the consideration of unobserved heterogeneity in accident data that current popular metho...
Source: International Journal of Injury Control and Safety Promotion - April 9, 2021 Category: Accident Prevention Authors: Minho Park Dongmin Lee Source Type: research

Insights into motor carrier crashes: A preliminary investigation of FMCSA inspection violations
Accid Anal Prev. 2021 Apr 6;155:106105. doi: 10.1016/j.aap.2021.106105. Online ahead of print.ABSTRACTMany researchers have developed predictive models of crashes based on the safety scores of commercial truck companies, but these studies have been based on aggregated data at the truck company level-evaluating the total crashes and violations per company over a period of time. This level of aggregation obscures critical information. Here, a new approach to organizing non-aggregated data is taken, and logistic regression and random forest models are applied to non-aggregated FMCSA roadside inspection, violation, and crash d...
Source: Accident; Analysis and Prevention. - April 9, 2021 Category: Accident Prevention Authors: Craig D Lack Kathryn S Berkow Yuanxue Gao Source Type: research

Association between extreme ambient temperatures and general indistinct and work-related road crashes. A nationwide study in Italy
Accid Anal Prev. 2021 Apr 6;155:106110. doi: 10.1016/j.aap.2021.106110. Online ahead of print.ABSTRACTDespite the relevance of road crashes and their impact on social and health care costs, the effects of extreme temperatures on road crashes risk have been scarcely investigated, particularly for those occurring in occupational activities. A nationwide epidemiological study was carried out to estimate the risk of general indistinct and work-related road crashes related with extreme temperatures and to identify crash and occupation parameters mostly involved. Data about road crashes, resulting in death or injury, occurring d...
Source: Accident; Analysis and Prevention. - April 9, 2021 Category: Accident Prevention Authors: Claudio Gariazzo Silvia Bruzzone Sandro Finardi Matteo Scortichini Liana Veronico Alessandro Marinaccio Source Type: research

A random parameter negative binomial model for signalized intersection accidents in Seoul, Korea
Int J Inj Contr Saf Promot. 2021 Apr 9:1-11. doi: 10.1080/17457300.2021.1907594. Online ahead of print.ABSTRACTA variety of statistical models were generally considered to better understand the relationship between crash occurrences and diverse factors. However, most of statistical models adapted fixed parameters which cannot incorporate time variation or sement-specific effects. To relieve this problem, this study focuses on a traffic accident frequency model using a random parameter negative binomial approach. This method allows for the consideration of unobserved heterogeneity in accident data that current popular metho...
Source: International Journal of Injury Control and Safety Promotion - April 9, 2021 Category: Accident Prevention Authors: Minho Park Dongmin Lee Source Type: research

Association between extreme ambient temperatures and general indistinct and work-related road crashes. A nationwide study in Italy
Accid Anal Prev. 2021 Apr 6;155:106110. doi: 10.1016/j.aap.2021.106110. Online ahead of print.ABSTRACTDespite the relevance of road crashes and their impact on social and health care costs, the effects of extreme temperatures on road crashes risk have been scarcely investigated, particularly for those occurring in occupational activities. A nationwide epidemiological study was carried out to estimate the risk of general indistinct and work-related road crashes related with extreme temperatures and to identify crash and occupation parameters mostly involved. Data about road crashes, resulting in death or injury, occurring d...
Source: Accident; Analysis and Prevention. - April 9, 2021 Category: Accident Prevention Authors: Claudio Gariazzo Silvia Bruzzone Sandro Finardi Matteo Scortichini Liana Veronico Alessandro Marinaccio Source Type: research

Insights into motor carrier crashes: A preliminary investigation of FMCSA inspection violations
Accid Anal Prev. 2021 Apr 6;155:106105. doi: 10.1016/j.aap.2021.106105. Online ahead of print.ABSTRACTMany researchers have developed predictive models of crashes based on the safety scores of commercial truck companies, but these studies have been based on aggregated data at the truck company level-evaluating the total crashes and violations per company over a period of time. This level of aggregation obscures critical information. Here, a new approach to organizing non-aggregated data is taken, and logistic regression and random forest models are applied to non-aggregated FMCSA roadside inspection, violation, and crash d...
Source: Accident; Analysis and Prevention. - April 9, 2021 Category: Accident Prevention Authors: Craig D Lack Kathryn S Berkow Yuanxue Gao Source Type: research

A random parameter negative binomial model for signalized intersection accidents in Seoul, Korea
Int J Inj Contr Saf Promot. 2021 Apr 9:1-11. doi: 10.1080/17457300.2021.1907594. Online ahead of print.ABSTRACTA variety of statistical models were generally considered to better understand the relationship between crash occurrences and diverse factors. However, most of statistical models adapted fixed parameters which cannot incorporate time variation or sement-specific effects. To relieve this problem, this study focuses on a traffic accident frequency model using a random parameter negative binomial approach. This method allows for the consideration of unobserved heterogeneity in accident data that current popular metho...
Source: International Journal of Injury Control and Safety Promotion - April 9, 2021 Category: Accident Prevention Authors: Minho Park Dongmin Lee Source Type: research

Speed violation analysis of heavy vehicles on highways using spatial analysis and machine learning algorithms
Publication date: June 2021Source: Accident Analysis & Prevention, Volume 155Author(s): Emre Kuşkapan, M. Yasin Çodur, Ahmet Atalay (Source: Accident Analysis and Prevention)
Source: Accident Analysis and Prevention - April 8, 2021 Category: Accident Prevention Source Type: research

Motorcycle helmet selection and usage for improved safety: A systematic review on the protective effects of helmet type and fastening
CONCLUSIONS: This systematic review provides important insights to improve the usage of helmets by end-users. Correct fastening is a crucial factor to avoid helmet roll-off during a crash. Most studies agreed that full-face helmets provide higher protection in comparison with other standard helmets, especially for facial injuries, and no negative influence with respect to neck and spinal injuries.PMID:33829931 | DOI:10.1080/15389588.2021.1894640 (Source: Traffic Injury Prevention)
Source: Traffic Injury Prevention - April 8, 2021 Category: Accident Prevention Authors: Cosimo Lucci Simone Piantini Giovanni Savino Marco Pierini Source Type: research

Driver monitoring systems (DMS): The future of impaired driving management?
CONCLUSION: These devices have tangible potential application across all areas of transportation, including aviation, rail, and all commercial and private vehicle systems.PMID:33829941 | DOI:10.1080/15389588.2021.1899164 (Source: Traffic Injury Prevention)
Source: Traffic Injury Prevention - April 8, 2021 Category: Accident Prevention Authors: Amie C Hayley Brook Shiferaw Blair Aitken Frederick Vinckenbosch Timothy L Brown Luke A Downey Source Type: research

Subjective experiences of bicyclists being passed by motor vehicles: The relationship to motor vehicle passing distance
CONCLUSIONS: The study identified important links between cyclists' subjective experience of unsafe events, motor vehicle types and infrastructure characteristics. Greater emphasis needs to be placed on capturing subjective experiences to inform and advance the development and implementation of safe and comfortable cycling infrastructure.PMID:33831658 | DOI:10.1016/j.aap.2021.106102 (Source: Accident; Analysis and Prevention.)
Source: Accident; Analysis and Prevention. - April 8, 2021 Category: Accident Prevention Authors: Ben Beck Monica Perkins Jake Olivier Derek Chong Marilyn Johnson Source Type: research

Subjective experiences of bicyclists being passed by motor vehicles: The relationship to motor vehicle passing distance
CONCLUSIONS: The study identified important links between cyclists' subjective experience of unsafe events, motor vehicle types and infrastructure characteristics. Greater emphasis needs to be placed on capturing subjective experiences to inform and advance the development and implementation of safe and comfortable cycling infrastructure.PMID:33831658 | DOI:10.1016/j.aap.2021.106102 (Source: Accident; Analysis and Prevention.)
Source: Accident; Analysis and Prevention. - April 8, 2021 Category: Accident Prevention Authors: Ben Beck Monica Perkins Jake Olivier Derek Chong Marilyn Johnson Source Type: research

Driver monitoring systems (DMS): The future of impaired driving management?
CONCLUSION: These devices have tangible potential application across all areas of transportation, including aviation, rail, and all commercial and private vehicle systems.PMID:33829941 | DOI:10.1080/15389588.2021.1899164 (Source: Traffic Injury Prevention)
Source: Traffic Injury Prevention - April 8, 2021 Category: Accident Prevention Authors: Amie C Hayley Brook Shiferaw Blair Aitken Frederick Vinckenbosch Timothy L Brown Luke A Downey Source Type: research

Motorcycle helmet selection and usage for improved safety: A systematic review on the protective effects of helmet type and fastening
CONCLUSIONS: This systematic review provides important insights to improve the usage of helmets by end-users. Correct fastening is a crucial factor to avoid helmet roll-off during a crash. Most studies agreed that full-face helmets provide higher protection in comparison with other standard helmets, especially for facial injuries, and no negative influence with respect to neck and spinal injuries.PMID:33829931 | DOI:10.1080/15389588.2021.1894640 (Source: Traffic Injury Prevention)
Source: Traffic Injury Prevention - April 8, 2021 Category: Accident Prevention Authors: Cosimo Lucci Simone Piantini Giovanni Savino Marco Pierini Source Type: research

Motorcycle helmet selection and usage for improved safety: A systematic review on the protective effects of helmet type and fastening
CONCLUSIONS: This systematic review provides important insights to improve the usage of helmets by end-users. Correct fastening is a crucial factor to avoid helmet roll-off during a crash. Most studies agreed that full-face helmets provide higher protection in comparison with other standard helmets, especially for facial injuries, and no negative influence with respect to neck and spinal injuries.PMID:33829931 | DOI:10.1080/15389588.2021.1894640 (Source: Traffic Injury Prevention)
Source: Traffic Injury Prevention - April 8, 2021 Category: Accident Prevention Authors: Cosimo Lucci Simone Piantini Giovanni Savino Marco Pierini Source Type: research

Driver monitoring systems (DMS): The future of impaired driving management?
CONCLUSION: These devices have tangible potential application across all areas of transportation, including aviation, rail, and all commercial and private vehicle systems.PMID:33829941 | DOI:10.1080/15389588.2021.1899164 (Source: Traffic Injury Prevention)
Source: Traffic Injury Prevention - April 8, 2021 Category: Accident Prevention Authors: Amie C Hayley Brook Shiferaw Blair Aitken Frederick Vinckenbosch Timothy L Brown Luke A Downey Source Type: research

Driver monitoring systems (DMS): The future of impaired driving management?
CONCLUSION: These devices have tangible potential application across all areas of transportation, including aviation, rail, and all commercial and private vehicle systems.PMID:33829941 | DOI:10.1080/15389588.2021.1899164 (Source: Traffic Injury Prevention)
Source: Traffic Injury Prevention - April 8, 2021 Category: Accident Prevention Authors: Amie C Hayley Brook Shiferaw Blair Aitken Frederick Vinckenbosch Timothy L Brown Luke A Downey Source Type: research

Motorcycle helmet selection and usage for improved safety: A systematic review on the protective effects of helmet type and fastening
CONCLUSIONS: This systematic review provides important insights to improve the usage of helmets by end-users. Correct fastening is a crucial factor to avoid helmet roll-off during a crash. Most studies agreed that full-face helmets provide higher protection in comparison with other standard helmets, especially for facial injuries, and no negative influence with respect to neck and spinal injuries.PMID:33829931 | DOI:10.1080/15389588.2021.1894640 (Source: Traffic Injury Prevention)
Source: Traffic Injury Prevention - April 8, 2021 Category: Accident Prevention Authors: Cosimo Lucci Simone Piantini Giovanni Savino Marco Pierini Source Type: research

Motorcycle helmet selection and usage for improved safety: A systematic review on the protective effects of helmet type and fastening
CONCLUSIONS: This systematic review provides important insights to improve the usage of helmets by end-users. Correct fastening is a crucial factor to avoid helmet roll-off during a crash. Most studies agreed that full-face helmets provide higher protection in comparison with other standard helmets, especially for facial injuries, and no negative influence with respect to neck and spinal injuries.PMID:33829931 | DOI:10.1080/15389588.2021.1894640 (Source: Traffic Injury Prevention)
Source: Traffic Injury Prevention - April 8, 2021 Category: Accident Prevention Authors: Cosimo Lucci Simone Piantini Giovanni Savino Marco Pierini Source Type: research

Driver monitoring systems (DMS): The future of impaired driving management?
CONCLUSION: These devices have tangible potential application across all areas of transportation, including aviation, rail, and all commercial and private vehicle systems.PMID:33829941 | DOI:10.1080/15389588.2021.1899164 (Source: Traffic Injury Prevention)
Source: Traffic Injury Prevention - April 8, 2021 Category: Accident Prevention Authors: Amie C Hayley Brook Shiferaw Blair Aitken Frederick Vinckenbosch Timothy L Brown Luke A Downey Source Type: research

Insights into motor carrier crashes: A preliminary investigation of FMCSA inspection violations
Publication date: June 2021Source: Accident Analysis & Prevention, Volume 155Author(s): Craig D. Lack, Kathryn S. Berkow, Yuanxue Gao (Source: Accident Analysis and Prevention)
Source: Accident Analysis and Prevention - April 7, 2021 Category: Accident Prevention Source Type: research

Association between extreme ambient temperatures and general indistinct and work-related road crashes. A nationwide study in Italy
Publication date: June 2021Source: Accident Analysis & Prevention, Volume 155Author(s): Claudio Gariazzo, Silvia Bruzzone, Sandro Finardi, Matteo Scortichini, Liana Veronico, Alessandro Marinaccio (Source: Accident Analysis and Prevention)
Source: Accident Analysis and Prevention - April 7, 2021 Category: Accident Prevention Source Type: research

Subjective experiences of bicyclists being passed by motor vehicles: The relationship to motor vehicle passing distance
Publication date: June 2021Source: Accident Analysis & Prevention, Volume 155Author(s): Ben Beck, Monica Perkins, Jake Olivier, Derek Chong, Marilyn Johnson (Source: Accident Analysis and Prevention)
Source: Accident Analysis and Prevention - April 6, 2021 Category: Accident Prevention Source Type: research

Modelling bus-pedestrian crash severity in the state of Victoria, Australia
This study aims to fulfil this gap by investigating the factors affecting the severity of pedestrian injuries. A data set of bus-pedestrian crashes in the State of Victoria, Australia was analysed over the period of 2006 - 2019. Through the results of association rule discovery method, the factors that increase the risk of pedestrian fatality are darkness, pedestrian walking on carriageway with traffic, intersections, high speed zone, old pedestrian, young bus driver and weekend holidays. Furthermore, co-occurrence of factors that increase the risk of a pedestrian fatality were extracted. To reduce the injuries of bus-pede...
Source: International Journal of Injury Control and Safety Promotion - April 6, 2021 Category: Accident Prevention Authors: Seyed Alireza Samerei Kayvan Aghabayk Nirajan Shiwakoti Sajjad Karimi Source Type: research

Investigation of factors contributing to injury severity in single vehicle motorcycle crashes in India
This study provides useful insights for reducing injury severity in single-vehicle motorcycle crashes.PMID:33820490 | DOI:10.1080/17457300.2021.1908367 (Source: International Journal of Injury Control and Safety Promotion)
Source: International Journal of Injury Control and Safety Promotion - April 6, 2021 Category: Accident Prevention Authors: Sathish Kumar Sivasankaran Harikrishna Rangam Venkatesh Balasubramanian Source Type: research