Investigating Underage Alcohol-Intoxicated Driver Crash Patterns in Louisiana

2021 ◽  
pp. 036119812110197
Author(s):  
Md Mahmud Hossain ◽  
M. Ashifur Rahman ◽  
Xiaoduan Sun ◽  
Elisabeta Mitran
Keyword(s):  
High Speed ◽  
Multiple Correspondence Analysis ◽  
Weather Conditions ◽  
The United States ◽  
Underage Drinking ◽  
Educational Training ◽  
Late Night ◽  
Adverse Weather ◽  
Qualitative Variables ◽  
Drinking Age

Despite the zero tolerance and minimum legal drinking age laws since 1999, crashes caused by underage drinking drivers have occurred every year in the United States, which is a huge cause for concern for roadway safety. This study utilized multiple correspondence analysis (MCA) on 9 years (2010 to 2018) of at-fault, underage (aged 15 to 20 years), alcohol-intoxicated driver crashes in Louisiana to investigate hidden crash attribute patterns. This exploratory multivariate analysis technique identifies systematic associations among categories of qualitative variables rather than recognizing the effect of a single factor on the response variable. The results exhibited the capability of MCA in discovering the meaningful clouds of crash contributory factors from a complex multidimensional dataset. Fatal crashes happened to underage alcohol-intoxicated drivers who were not using seatbelts on high-speed curve segments under dark without streetlights, whereas single-vehicle crashes resulted in moderate injuries among drinking novice teenagers operating light trucks. The findings also revealed the driving behavior patterns of rookie drivers after alcohol intake that resulted in collisions. For example, male teenagers were engaged in impaired driving during weekends under adverse weather conditions, and underage drinking drivers tended to use cellphones during late-night driving. Targeting critical attributes identified from associations could be helpful in reducing the number of related crashes and fatalities. Furthermore, knowledge gained about the attribute groups identified in this study could be included in educational training programs targeting risky driving maneuvers. Integration of multiple interventions could be more strategic in minimizing underage drinking collisions.

Innovative Aspects of Virtual Reality and Kinetic Sensors for Significant Improvement Using Fireworks Algorithm in a Wii Game of a Collaborative Sport

2021 ◽  
pp. 991-1008
Author(s):  
Alberto Ochoa-Zezzatti ◽  
José Mejia ◽  
Saúl González ◽  
Ismael Rodríguez ◽  
Jose Peinado ◽  
...  
Keyword(s):  
Eating Habits ◽  
Weather Conditions ◽  
The United States ◽  
Junk Food ◽  
Fireworks Algorithm ◽  
Adverse Weather Conditions ◽  
Unhealthy Eating ◽  
Adverse Weather ◽  
Sedentary Life ◽  
Olympic Sport

A new report on childhood obesity is published every so often. The bad habits of food and the increasingly sedentary life of children in a border society has caused an alarming increase in the cases of children who are overweight or obese. Formerly, it seemed to be a problem of countries with unhealthy eating habits, such as the United States or Mexico in Latin America, where junk food is part of the diet in childhood. However, obesity is a problem that we already have around the corner and that is not so difficult to fight in children. In the present research the development of an application that reduces the problem of the lack of movement in the childhood of a smart city is considered a future problem which it is the main contribution, coupled with achieving an innovative way of looking for an Olympic sport without the complexity of physically moving to a space with high maintenance costs and considering the adverse weather conditions.

Enhanced Performance Analysis of 10 Gbit/s–10 GHz OFDM-Based Radio over FSO Transmission System Incorporating ODSB and OSSB Modulation Schemes

2019 ◽  
Vol 0 (0) ◽  
Author(s):  
Mehtab Singh ◽  
Vigneswaran Dhasarathan
Keyword(s):  
Performance Analysis ◽  
Communication Systems ◽  
Orthogonal Frequency Division Multiplexing ◽  
High Speed ◽  
Low Cost ◽  
Weather Conditions ◽  
Space Optics ◽  
Adverse Weather ◽  
Modulation Schemes ◽  
The Impact

AbstractThe exponential rise in the demand for channel bandwidth over the last few years has lead to the problem of spectrum congestion in conventional radio frequency (RF)-based wireless communication systems. Radio over free space optics (RoFSO) provides an effective solution to tackle the problem of spectrum congestion due to its many merits including license-free bandwidth, quick and low-cost installation, cost-effectiveness, and highly secure transmission links. The high-speed data transmission capabilities and immunity to electromagnetic and RF interference makes it a suitable candidate for the development of future 5 G networks. This work focuses on the designing and performance analysis of 10 Gbit/s–10 GHz orthogonal frequency division multiplexing (OFDM) based RoFSO link under the impact of different environmental effects. Also, the performance of the proposed RoFSO link has been compared for different modulation schemes viz. optical dual sideband (ODSB) and optical single sideband (OSSB). Further, we propose an enhanced detection technique deploying Square root module (SRm) at the receiver terminal for link reach enhancement under the impact of adverse weather conditions.

scholarly journals Yet Another Nail in the Coffin of Zeroing: United States – Anti-Dumping Administrative Reviews and Other Measures Related to Imports of Certain Orange Juice from Brazil

2013 ◽  
Vol 12 (2) ◽  
pp. 377-408 ◽  
Author(s):  
KAMAL SAGGI ◽  
MARK WU
Keyword(s):  
United States ◽  
Orange Juice ◽  
Weighted Average ◽  
Weather Conditions ◽  
The United States ◽  
Price Changes ◽  
Appellate Body ◽  
Adverse Weather ◽  
Local Supply ◽  
The Cost

AbstractThis paper analyzes Brazil's WTO challenge to the methods undertaken by the United States in calculating anti-dumping duties in administrative reviews and other investigations of Brazilian orange juice. The dispute resulted in a Panel ruling that conforms with earlier Appellate Body decisions outlawing the use of ‘weighted average to transaction’ zeroing in such reviews. However, we note that the Panel's stance was driven largely from a desire to preserve ‘stability and predictability’ within the system, suggesting a practical recognition of the shadow of past Appellate Body decisions on the same legal question. In addition, we argue that to understand fully the effects of zeroing, it is important to account for the underlying reasons behind observed price changes in the market. We show that zeroing is more likely to convert a negative dumping determination into a positive one when price changes are driven by variations in demand relative to when they are driven by variations in the cost of exporting. In the present case, Brazilian exporters of orange juice experienced an increase in (residual) demand for their product since, by reducing the local supply of round oranges, adverse weather conditions in the United States made it difficult for US orange-juice producers to meet local demand.

scholarly journals Causes, characteristics, and patterns of prolonged unplanned school closures prior to the COVID-19 pandemic – United States, 2011 – 2019

2021 ◽  
Author(s):  
Ferdous Jahan ◽  
Nicole Zviedrite ◽  
Hongjiang Gao ◽  
Faruque Ahmed ◽  
Amra Uzicanin
Keyword(s):  
United States ◽  
Weather Conditions ◽  
The United States ◽  
School Closures ◽  
Teacher Strikes ◽  
Sustainable Solutions ◽  
Feeding Programs ◽  
Adverse Weather ◽  
K 12 ◽  
Prior Experiences

Introduction Outside of pandemics, there is little information about occurrence of prolonged unplanned K-12 school closures (PUSC). We describe here the reasons, characteristics, and patterns of PUSC in the United States during 8 consecutive inter-pandemic academic years, 2011–2019. Methods From August 1, 2011 through June 30, 2019, daily systematic online searches were conducted to collect data on publicly announced unplanned school closures lasting ≥1 school days in the United States. Closures were categorized as prolonged when schools were closed for ≥5 unplanned days (approximating one full workweek), excluding weekends and scheduled days off per school calendars. Results During the eight academic years, a total of 21,725 PUSCs were identified, affecting over 800,000 teachers and 13 million students that resulted in 89.9 million student-days lost. A median of 62.9% of students in PUSC-affected schools were eligible for subsidized school meals. Most affected schools were in cities (35%) and suburban areas (34%). Natural disasters (48%), adverse weather conditions (35%), and budget/teacher strikes (15%) were the most frequently cited reasons for PUSC; illness accounted for 1%, and building/facility issues, environmental issues and violence together accounted for the remaining 3%. The highest number of PUSCs occurred in Health and Human Services Regions 2, 3, 4, and 6 encompassing areas that are frequently in the path of hurricanes and tropical storms. The majority of PUSCs in these regions were attributed to a handful of hurricanes during the fall season, including hurricanes Sandy, Irma, Harvey, Florence, and Matthew. Conclusions PUSCs occur annually in the United States due to a variety of causes and are associated with a substantive loss of student-days for in-school learning. Both these prior experiences with PUSCs and those during the current COVID-19 pandemic illustrate a need for creating sustainable solutions for high-quality distance learning and innovative supplemental feeding programs nationwide, especially in disaster-prone areas.

scholarly journals Will Weather Dampen Self-Driving Vehicles?

2020 ◽  
Vol 101 (11) ◽  
pp. E1914-E1923
Author(s):  
Curtis L. Walker ◽  
Brenda Boyce ◽  
Christopher P. Albrecht ◽  
Amanda Siems-Anderson
Keyword(s):  
Emergency Services ◽  
Situational Awareness ◽  
Transportation Network ◽  
Weather Conditions ◽  
The United States ◽  
Environmental Damage ◽  
Automated Vehicles ◽  
Emergent Technologies ◽  
Adverse Weather ◽  
Vehicular Crashes

AbstractInnovative technologies that support implementation of automated vehicles continue to develop at a rapid pace. These advances strive to increase efficiency and safety throughout the global transportation network. One important challenge to these emergent technologies that remains underappreciated is how the vehicles will perform in adverse weather. Each year, weather-related vehicular crashes account for approximately 21% of all highway crashes in the United States. These crashes result in over 5,300 fatalities, injure over 418,000 people, and cost billions of dollars in insurance claims, liability, emergency services, congestion delays, rehabilitation, and environmental damage annually. Automated vehicles have the potential to significantly mitigate these statistics; however, public, private, and academic partnerships between the meteorological and transportation communities must be established to develop solutions to weather impacts now. To date, such interactions have been sparse and largely contribute to a lack of awareness in how these two communities may collaborate together. The purpose of this manuscript is to call the meteorological community to action and proactive engagement with the transportation community. A secondary goal is to make the transportation community aware of the advantages of teaming with the weather enterprise. Automated vehicles will not only increase travel safety, but also have benefits to the meteorological community through increasing availability of high-resolution surface data observations. The future challenges of these emergent technologies in the context of road weather implications focus on vehicle situational awareness and technological sensing capability in all weather conditions, and transforming how drivers and vehicles are informed of weather threats beyond sensing capabilities.

scholarly journals Hybrid MDM-PDM Based Ro-FSO System for Broadband Services by Incorporating Donut Modes Under Diverse Weather Conditions

2021 ◽  
Vol 9 ◽  
Author(s):  
Sushank Chaudhary ◽  
Lunchakorn Wuttisittikulkij ◽  
Jamel Nebhen ◽  
Xuan Tang ◽  
Muhammad Saadi ◽  
...  
Keyword(s):  
Free Space ◽  
High Speed ◽  
Weather Conditions ◽  
Sensor Data ◽  
Electromagnetic Spectrum ◽  
Free Space Optical ◽  
Adverse Weather ◽  
Dense Fog ◽  
High Speed Data ◽  
Clear Weather

High-speed data demand in sensitive locations has prompted new wireless technologies to grow in areas like hospitals for bio-sensor data transmission between doctors and patients. However, interference of electromagnetic spectrum or highly sensitive medical equipment in such locations can prevent radio waves which can further compromise the health of patients. Radio over Free Space Optics (Ro-FSO) can fulfil high-speed data demand in such locations without any such interference. However, the Ro-FSO performance is highly influenced by different adverse weather conditions, particularly haze and rainfall, which further cause attenuation in the transmission path of Ro-FSO systems. These atmospheric turbulences mainly affect the transmission link range of Ro-FSO systems. In this work, Ro-FSO system is designed by incorporating hybrid mode division multiplexing (MDM) and polarization division multiplexing (PDM) schemes to deliver four independent channels, each carrying 10 Gbps data upconverted to 40 GHz radio signal, over 3.4 km free space optical link operating under clear weather conditions. In addition to this, the proposed Ro-FSO link is subjected to different weather conditions, particularly partially hazy/rainy and dense fog/very rainy. The reported results indicate the achievement of acceptable bit error rate (BER≈10–3) for all channels up to 3400m FSO link under clear weather conditions, 1000m under partially haze/rain and 620 m under dense fog/heavy rain.

Innovative Aspects of Virtual Reality and Kinetic Sensors for Significant Improvement Using Fireworks Algorithm in a Wii Game of a Collaborative Sport

2020 ◽  
pp. 334-351
Author(s):  
Alberto Ochoa-Zezzatti ◽  
José Mejia ◽  
Saúl González ◽  
Ismael Rodríguez ◽  
Jose Peinado ◽  
...  
Keyword(s):  
Eating Habits ◽  
Weather Conditions ◽  
The United States ◽  
Junk Food ◽  
Fireworks Algorithm ◽  
Adverse Weather Conditions ◽  
Unhealthy Eating ◽  
Adverse Weather ◽  
Sedentary Life ◽  
Olympic Sport

A new report on childhood obesity is published every so often. The bad habits of food and the increasingly sedentary life of children in a border society has caused an alarming increase in the cases of children who are overweight or obese. Formerly, it seemed to be a problem of countries with unhealthy eating habits, such as the United States or Mexico in Latin America, where junk food is part of the diet in childhood. However, obesity is a problem that we already have around the corner and that is not so difficult to fight in children. In the present research the development of an application that reduces the problem of the lack of movement in the childhood of a smart city is considered a future problem which it is the main contribution, coupled with achieving an innovative way of looking for an Olympic sport without the complexity of physically moving to a space with high maintenance costs and considering the adverse weather conditions.

scholarly journals Vehicle optimal road departure prevention via model predictive control

2017 ◽  
Vol 231 (7) ◽  
pp. 952-962 ◽  
Author(s):  
Hongliang Yuan ◽  
Yangyan Gao ◽  
Timothy J Gordon
Keyword(s):  
Model Predictive Control ◽  
Predictive Control ◽  
High Speed ◽  
Weather Conditions ◽  
Particle Model ◽  
Vehicle Speed ◽  
Safety Control ◽  
The Road ◽  
Adverse Weather ◽  
Actuator Control

This article addresses the problem of road departure prevention using integrated brake control. The scenario considered is when a high-speed vehicle leaves the highway on a curve and enters the shoulder or another lane, owing to excessive speed or a reduction in the friction of the road due to adverse weather conditions. In such a scenario, the vehicle speed is too high for the available tyre–road friction and road departure is inevitable; however, its effect can be minimized with an optimal braking strategy. To achieve online implementation, the task is formulated as a receding horizon optimization problem and solved in a linear model predictive control (MPC) framework. In this formulation, a nonlinear tyre model is adopted in order to work properly at the friction limits. The optimization results are close to those obtained previously using a particle model optimization, parabolic path reference (PPR), coupled to a control algorithm, the modified Hamiltonian algorithm (MHA), specifically designed to operate at the vehicle friction limits. This shows that the MPC formulation may be equally effective for vehicle control at the friction limits. The major difference here, compared with the earlier PPR/MHA control formulation, is that the proposed MPC strategy directly generates an optimal brake sequence, while PPR provides an optimal reference first, then MHA responds to the reference to give closed-loop actuator control. The presented MPC approach has the potential for use in future vehicle systems as part of the overall active safety control to improve overall vehicle agility and safety.

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