Alcohol-related deaths among young passengers: An analysis of national alcohol-related fatal crashes

Author(s):  
Eduardo Romano ◽  
James Fell ◽  
Kaigang Li ◽  
Bruce G. Simons-Morton ◽  
Federico E. Vaca
Keyword(s):  
Author(s):  
Brittany N. Campbell ◽  
John D. Smith ◽  
Wassim G. Najm
Keyword(s):  

Author(s):  
Susan B. Varga ◽  
Federico E. Vaca

Advances in technology have dramatically influenced and changed the world of transportation in countless way. While many improvements have been realized with the help of technology in this area, negative consequences, like distracted driving, continue to be formidable challenges to the public’s safety and health. Studies have demonstrated that mobile phones, built-in navigation systems, and other in-vehicle–related entertainment/information technology (infotainment) have contributed to distracted driving, leading to increased morbidity and mortality, especially among the youth. Today, the ubiquitous use of mobile phones while driving has led to major increases of distracted driving, with some attribution to injury and fatal crashes, particularly among young drivers.


2015 ◽  
Vol 38 (2) ◽  
pp. 130-134 ◽  
Author(s):  
Gaurav Pandey ◽  
Dinesh Mohan ◽  
K. Ramachandra Rao
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Author(s):  
David A. Call ◽  
Guy A. Flynt

AbstractSnow has numerous effects on traffic, including reduced traffic volumes, greater crash risk, and increased travel times. This research examines how snow affects crash risk, traffic volume, and toll revenue on the New York State Thruway. Daily data from January for a ten-year period (2010-2019) were analyzed for the Thruway from the Pennsylvania state line in western New York to Syracuse.Anywhere from 35-50 percent of crashes are associated with inclement weather, with smaller impacts, proportionally, in areas with greater traffic volumes. As expected, snow was almost always involved when weather was a factor. “Unsafe speed” was the most common cause of crashes in inclement weather with all other factors (e.g., animals, drowsiness) much less likely to play a role. The percentage of crashes resulting in an injury did not change significantly with inclement conditions when compared to crashes occurring in fair conditions, and there were too few fatal crashes to make any inferences about them.Daily snowfall rates predicted about 30 percent of the variation in crash numbers, with every 5.1 cm of snowfall resulting in an additional crash, except in Buffalo where 5.1 cm of snow resulted in an additional 2.6 crashes. Confirming earlier results, daily snowfall had a large impact on passenger vehicle counts while commercial vehicle counts were less affected. Revenue data showed a similar pattern, with passenger revenue typically decreasing by 3-5 percent per 2.5 cm of snow, while commercial revenue decreases were 1-4 percent per 2.5 cm of snow.


2019 ◽  
Vol 11 (7) ◽  
pp. 1925 ◽  
Author(s):  
Shuai Yu ◽  
Yuanhua Jia ◽  
Dongye Sun

Road traffic injury is currently the leading cause of death among children and young adults aged 5–29 years all over the world. Measures must be taken to avoid accidents and promote the sustainability of road safety. The current study aimed to identify risk factors that are significantly associated with the severity in crash accidents; therefore, traffic crashes could be reduced, and the sustainable safety level of roadways could be improved. The Apriori algorithm is carried out to mine the significant association rules between the severity of the crash accidents and the factors influencing the occurrence of crash accidents. Compared to previous studies, the current study included the variables more comprehensively, including environment, management, and the state of drivers and vehicles. The data for the current study comes from the Wisconsin Transportation crash database that contains information on all reported crashes in Wisconsin in the year 2016. The results indicate that male drivers aged 16–29 are more inclined to be involved in crashes on roadways with no physical separation. Additionally, fatal crashes are more likely to occur in towns while property damage crashes are more likely to occur in the city. The findings can help government to make efficient policies on road safety improvement.


2020 ◽  
Vol 12 (8) ◽  
pp. 3206
Author(s):  
Roni Utriainen ◽  
Markus Pöllänen

Interaction between drivers and pedestrians enables pedestrians to cross the street without conflicts. When highly automated vehicles (HAVs) become prevalent, interaction will change. Although HAVs manage to identify pedestrians, they may not be able to assess pedestrians’ intentions. This study discusses two different ambitions: Prioritizing pedestrian safety and prioritizing efficient traffic flow; and how these two affect the possibilities to avoid fatal crashes between pedestrians and passenger cars. HAVs’ hypothetical possibilities to avoid different crash scenarios are evaluated based on 40 in-depth investigated fatal pedestrian crashes, which occurred with manually-driven cars in Finland in 2014–2016. When HAVs prioritize pedestrian safety, they decrease speed near pedestrians as a precaution which affects traffic flow due to frequent decelerations. When HAVs prioritize efficient traffic flow, they only decelerate, when pedestrians are in a collision course. The study shows that neither of these approaches can be applied in all traffic environments, and all of the studied crashes would not likely be avoidable with HAVs even when prioritizing pedestrian safety. The high expectations of HAVs’ safety benefits may not be realized, and in addition to safety and traffic flow, there are many other objectives in traffic which need to be considered.


2018 ◽  
Vol 84 (4) ◽  
pp. 965-991 ◽  
Author(s):  
Angela K. Dills ◽  
Sean E. Mulholland
Keyword(s):  

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