ŽVYRKELIU DULKETUMO MAŽINIMO TIRPALU “SAFECOTE” IR JO MIŠINIU SU CACL2 EKSPERIMENTINIAI TYRIMAI

2010 ◽  
Vol 18 (2) ◽  
pp. 145-153 ◽  
Author(s):  
Jolita Bradulienė ◽  
Saulius Vasarevičius
Keyword(s):  
Particulate Matter ◽  
Experimental Studies ◽  
Weather Conditions ◽  
Dry Season ◽  
Pvc Membrane ◽  
Vehicle Speed ◽  
Unpaved Road ◽  
The Road ◽  
Gravel Road

Unpaved gravel road dustiness causes a number of disadvantages both to vehicle drivers and to all those located in an unpaved road area. The “Safecote” solution and CaCl2 were chosen for an experimental road dustiness reduction. Experimental studies were carried out in the summer of 2007 and 2008. Four sections of an unpaved gravel road were selected, each 5 m long at 5 m intervals from one another. The selected sections were treated with various concentrations of “Safecote” solution (of summer 2007), and its mixtures with CaCl2(of summer 2008); also, one section was untreated for control sampling. The dust concentrations were measured in all the sections and the weather conditions were registered during measurings. Dependence of particulate matter concentrations (mg/m3) on vehicle speed and the distance from unpaved road was examined. The rainfall had no effect during the experiment because the road sections were covered with PVC membrane after each measurement. PVC membrane helps to keep relevant measuring results during a long dry season. Santrauka Žvyrkeliu dulketumas sukelia nemažai nepatogumu ir transporto priemoniu vairuotojams, ir visiems, esantiems netoli žvyrkelio aplinkos zonos. Nuo kelio kylančiu dulkiu kiekiui bent kiek sumažinti buvo pasirinktas tirpalas “Sa‐fecote” ir CaCl2. Eksperimentiniai tyrimai atlikti 2007 ir 2008 metu vasara. Tyrimams pasirinktos keturios 5 m žvyrkelio atkarpos, tarp kuriu buvo 5 m tarpas. Pasirinktos atkarpos apdorotos ivairios koncentracijos tirpalu “Safecote” (pirmaja vasara ‐ 2007 m.) ir jo mišiniais su CaCl2 (antraja vasara ‐ 2008 m.), o viena atkarpa palikta neapdorota (kontrolinis ruožas). Visose atkarpose matuota dulketumas bei oro salygas matavimo metu nusakantys parametrai. Nagrineta kietuju daleliu koncentracijos (mg/m3) priklausomybe nuo automobilio greičio bei atstumo nuo važiuojamosios kelio dalies. Eksperimento metu krituliu kiekis itakos neturejo, atkarpos buvo uždengtos plevele, kuri prieš matavimus būdavo nudengiama, o po ju vel uždengiama. Plevele naudota tam, kad tyrimu rezultatai būtu aktualūs ilgo sausojo sezono metu. Резюме Пыль гравийных дорог служит причиной многих проблем, возникающих как для водителей транспортных средств, так и для окружающей среды, расположеннoй в непосредственной близости от гравийных дорог. Для экспериментального уменьшения дорожной пыли были выбраны раствор „Safecote“ и CaCl2. Экспериментальные исследования проводились в летний период 2007 и 2008 гг. Были отобраны четыре сектора грунтовой дороги, каждые 5 метров в 5-метровом интервале. На отдельных секторах был разбрызган раствор „Safecote“ в разных концентрациях (летом 2007 г.), а также в смеси с CaCl2 (летом 2008 г.). Один сектор не был опрыскан для пробоотбора. Концентрация дорожной пыли была измерена во всех секторах, а также зарегистрированы погодные условия во время измерения. Изучена зависимость концентраций твердых частиц (мг/м3 ) от скорости движения автомобиля и расстояния от дороги. Во время эксперимента секторы были покрыты пленкой и таким образом защищены от осадков. До измерений и после них пленка находилась на экспериментальных рубежах. Пленка была использована для сохранения четкости результатов исследования во время долгосрочного сухого сезона.

scholarly journals STATISTICAL EVALUATION OF THE RELATIONSHIP BETWEEN GRAVEL ROAD DUSTINESS AND ENVIRONMENTAL CONDITIONS USING MOLASSES SOLUTION FOR REDUCING DUSTINESS / ŽVYRKELIO DULKĖJIMO IR APLINKOS SĄLYGŲ SĄRYŠIO STATISTINIS ĮVERTINIMAS, DULKĖJIMUI MAŽINTI NAUDOJANT TIRPALĄ MELASOS PAGRINDU

2011 ◽  
Vol 3 (5) ◽  
pp. 5-11 ◽  
Author(s):  
Jolita Bradulienė ◽  
Saulius Vasarevičius
Keyword(s):  
Particulate Matter ◽  
Correlation Coefficient ◽  
Inverse Correlation ◽  
Weather Conditions ◽  
The Road ◽  
Road Pavement ◽  
Driving Speed ◽  
New Generation ◽  
The Relationship ◽  
Gravel Road

The problem of gravel road dustiness is quite acute. In order to minimize harmful environmental components and to conduct dust reduction tests, molasses materials were chosen. Using the molasses materials of a new generation (solution Safecote) in the Lithuanian market, the obtained results of dustiness have reflected a reduction in particulate matter in the air. During the experiment, gravel road pavement was treated with different degrees of concentration (10%, 20%, 30%) in solution “Safecote” at a driving speed of 30 km/h. Dustiness was measured at different distances from the road (0 m, 1 m, 2 m, 3 m). The undertaken study showed that the concentrations of particulate matter varied under changing weather conditions (air temperature, humidity, wind speed, atmospheric pressure). The statistical analysis of the received data has revealed that dustiness weakly correlates with temperature (correlation coefficient ranged from 0.12 to 0.67) moving from the road, the correlation coefficient of moisture is negative, a larger distance from the road increases inverse correlation (the correlation coefficient ranges from –0.02 to –0.85), negative correlation decreases moving from the road at a speed of the wind (from –0.72 to –0.06) and pressure correlation remains volatile (from –0.44 to 0.44). Santrauka Žvyrkelių dulkėtumo problema yra gana aktuali. Norint kuo mažiau kenkti aplinkos komponentams, dulkėtumo mažinimo tyrimams buvo pasirinkta medžiaga melasos pagrindu. Naudojant Lietuvos rinkoje gana naują melasos pagrindu pagamintą medžiagą (tirpalą „Safecote“) gauti dulkėtumo rezultatai parodė kietųjų dalelių ore mažėjimą. Tyrimų metu žvyrkelis buvo apdorotas skirtingomis tirpalo „Safecote“ koncentracijomis (10 %, 20 %, 30 %), аutomobiliai važiavo 30 km/h greičiu. Dulkėtumas matuotas skirtingais atstumais nuo kelio (0 m, 1 m, 2 m, 3 m). Atliekant tyrimus, pastebėta, kad kietųjų dalelių koncentracija kito, kintant oro sąlygoms (oro temperatūrai, oro drėgmei, vėjo greičiui, atmosferos slėgiui). Atliekant statistinę gautų duomenų analizę nustatyta, kad dulkėtumas tolstant kuo kelio su temperatūra mažai susijęs (temperatūros koreliacijos koeficientas svyravo nuo 0,12 iki 0,67), drėgmės koreliacijos koeficientas buvo neigiamas, o tolstant nuo kelio atvirkštinė koreliacija smarkėjo (koreliacijos koeficientas svyravo nuo –0,02 iki –0,85), tolstant nuo kelio vėjo greičiu neigiama koreliacija mažėjo (nuo –0,72 iki –0,06), o slėgio koreliacinis ryšys buvo nepastovus (nuo –0,44 iki 0,44).

scholarly journals A new approach to assess the influence of road roughness on driver speed behavior based on driving simulator tests

2016 ◽  
Vol 11 (2) ◽  
pp. 144-152 ◽  
Author(s):  
Mariano Pernetti ◽  
Mauro D’Apuzzo Mauro D’Apuzzo ◽  
Francesco Galante
Keyword(s):  
Driving Simulator ◽  
Experimental Studies ◽  
Vertical Vibration ◽  
The Other ◽  
Added Value ◽  
Published Data ◽  
Vehicle Speed ◽  
Safety Level ◽  
The Road ◽  
Road Roughness

Vehicle speed is one of main parameters describing driver behavior and it is of paramount importance as it affects the travel safety level. Speed is, in turn, affected by several factors among which in-vehicle vibration may play a significant role. Most of speed reducing traffic calming countermeasures adopted nowadays rely on vertical vibration level perceived by drivers that is based on the dynamic interaction between the vehicle and the road roughness. On the other hand, this latter has to be carefully monitored and controlled as it is a key parameter in pavement managements systems since it influences riding comfort, pavement damage and Vehicle Operating Costs. There is therefore the need to analyse the trade-off between safety requirements and maintenance issues related to road roughness level. In this connection, experimental studies aimed at evaluating the potential of using road roughness in mitigating drivers’ speed in a controlled environment may provide added value in dealing with this issue. In this paper a new research methodology making use of a dynamic driver simulator operating at the TEST Laboratory in Naples is presented in order to investigate the relationship between the driver speed behavior on one hand, and the road roughness level, road alignment and environment, vehicle characteristics on the other. Following an initial calibration phase, preliminary results seem fairly promising since they comply with the published data derived from scientific literature.

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.

Investigation of Winter-Weather Speed Variability in Sport Utility Vehicles, Pickup Trucks, and Passenger Cars

2001 ◽  
Vol 1779 (1) ◽  
pp. 116-124 ◽  
Author(s):  
Eric D. Padget ◽  
Keith K. Knapp ◽  
Gary B. Thomas
Keyword(s):  
Weather Conditions ◽  
Time Of Day ◽  
Vehicle Speed ◽  
Winter Weather ◽  
Passenger Cars ◽  
Speed Reduction ◽  
Road Crashes ◽  
The Road ◽  
Safety Research ◽  
Run Off

The different characteristics of sport utility vehicles (SUVs), pickup trucks, and passenger cars put the smaller vehicle at a disadvantage in a crash. A larger difference in the speed of two vehicles can also increase crash severity, and increases in speed variability on a roadway can decrease overall safety. Research investigated whether drivers of SUVs, pickup trucks, and passenger cars choose different vehicle speeds during winter weather. Vehicle speed, roadway condition, time of day, and vehicle type were recorded during normal and winter-weather conditions. The results indicated that winter-weather vehicle speeds for all three vehicle types were significantly less than normal and that during the day a large percentage of the speed reduction occurs after snow begins to accumulate in the gutter pans of the roadway. Vehicle speed variability also increases during winter-weather conditions. The average SUV speed was statistically higher than the average passenger car speed during the day for four of the five winter-weather roadway surface conditions observed. The magnitude of the speed differences increased with roadway snowcover, but it was always less than 5.6 km/h (3.5 mph). The winter-weather speed differences between passenger cars and SUVs, although small, may have safety implications. The safety of winter-weather roadways may be lower than before the increase in SUV use, more-severe winter-weather crashes may occur between passenger cars and SUVs, more SUV run-off-the-road crashes might occur, and the safety benefits of larger vehicle characteristics may be smaller than believed.

Potential Role of Inflammation in Associations between Particulate Matter and Heart Failure

2018 ◽  
Vol 24 (3) ◽  
pp. 341-358 ◽  
Author(s):  
Xiaotong Ji ◽  
Yingying Zhang ◽  
Guangke Li ◽  
Nan Sang
Keyword(s):  
Heart Failure ◽  
Particulate Matter ◽  
Inflammatory Response ◽  
Heart Diseases ◽  
Experimental Studies ◽  
Epidemiological Studies ◽  
Inflammatory Mechanism ◽  
High Concentrations ◽  
Future Work ◽  
The Relationship

Recently, numerous studies have found that particulate matter (PM) exposure is correlated with increased hospitalization and mortality from heart failure (HF). In addition to problems with circulation, HF patients often display high expression of cytokines in the failing heart. Thus, as a recurring heart problem, HF is thought to be a disorder characterized in part by the inflammatory response. In this review, we intend to discuss the relationship between PM exposure and HF that is based on inflammatory mechanism and to provide a comprehensive, updated evaluation of the related studies. Epidemiological studies on PM-induced heart diseases are focused on high concentrations of PM, high pollutant load exposure in winter, or susceptible groups with heart diseases, etc. Furthermore, it appears that the relationship between fine or ultrafine PM and HF is stronger than that between HF and coarse PM. However, fewer studies paid attention to PM components. As for experimental studies, it is worth noting that coarse PM may indirectly promote the inflammatory response in the heart through systematic circulation of cytokines produced primarily in the lungs, while ultrafine PM and its components can enter circulation and further induce inflammation directly in the heart. In terms of PM exposure and enhanced inflammation during the pathogenesis of HF, this article reviews the following mechanisms: hemodynamics, oxidative stress, Toll-like receptors (TLRs) and epigenetic regulation. However, many problems are still unsolved, and future work will be needed to clarify the complex biologic mechanisms and to identify the specific components of PM responsible for adverse effects on heart health.

scholarly journals Smartphone monitoring of in-ambulance vibration and noise

2021 ◽  
pp. 095441192098599
Author(s):  
Tom Partridge ◽  
Lorelei Gherman ◽  
David Morris ◽  
Roger Light ◽  
Andrew Leslie ◽  
...  
Keyword(s):  
Transport Systems ◽  
Vertical Acceleration ◽  
Vehicle Speed ◽  
Noise Levels ◽  
The Road ◽  
Neonatal Transport ◽  
Mass Data ◽  
Transport Team ◽  
Vertical Accelerations ◽  
Noise Vibration

Transferring sick premature infants between hospitals increases the risk of severe brain injury, potentially linked to the excessive exposure to noise, vibration and driving-related accelerations. One method of reducing these levels may be to travel along smoother and quieter roads at an optimal speed, however this requires mass data on the effect of roads on the environment within ambulances. An app for the Android operating system has been developed for the purpose of recording vibration, noise levels, location and speed data during ambulance journeys. Smartphone accelerometers were calibrated using sinusoidal excitation and the microphones using calibrated pink noise. Four smartphones were provided to the local neonatal transport team and mounted on their neonatal transport systems to collect data. Repeatability of app recordings was assessed by comparing 37 journeys, made during the study period, along an 8.5 km single carriageway. The smartphones were found to have an accelerometer accurate to 5% up to 55 Hz and microphone accurate to 0.8 dB up to 80 dB. Use of the app was readily adopted by the neonatal transport team, recording more than 97,000 km of journeys in 1 year. To enable comparison between journeys, the 8.5 km route was split into 10 m segments. Interquartile ranges for vehicle speed, vertical acceleration and maximum noise level were consistent across all segments (within 0.99 m . s−1, 0.13 m · s−2 and 1.4 dB, respectively). Vertical accelerations registered were representative of the road surface. Noise levels correlated with vehicle speed. Android smartphones are a viable method of accurate mass data collection for this application. We now propose to utilise this approach to reduce potential harmful exposure, from vibration and noise, by routing ambulances along the most comfortable roads.

scholarly journals Cortical Activity Linked to Clocking in Deaf Adults: fNIRS Insights with Static and Animated Stimuli Presentation

2021 ◽  
Vol 11 (2) ◽  
pp. 196
Author(s):  
Sébastien Laurent ◽  
Laurence Paire-Ficout ◽  
Jean-Michel Boucheix ◽  
Stéphane Argon ◽  
Antonio Hidalgo-Muñoz
Keyword(s):  
Near Infrared ◽  
Brain Activity ◽  
Time Estimation ◽  
Cognitive Effort ◽  
Deaf People ◽  
Vehicle Speed ◽  
Neural Basis ◽  
Functional Near Infrared Spectroscopy ◽  
The Road ◽  
Deaf Adults

The question of the possible impact of deafness on temporal processing remains unanswered. Different findings, based on behavioral measures, show contradictory results. The goal of the present study is to analyze the brain activity underlying time estimation by using functional near infrared spectroscopy (fNIRS) techniques, which allow examination of the frontal, central and occipital cortical areas. A total of 37 participants (19 deaf) were recruited. The experimental task involved processing a road scene to determine whether the driver had time to safely execute a driving task, such as overtaking. The road scenes were presented in animated format, or in sequences of 3 static images showing the beginning, mid-point, and end of a situation. The latter presentation required a clocking mechanism to estimate the time between the samples to evaluate vehicle speed. The results show greater frontal region activity in deaf people, which suggests that more cognitive effort is needed to process these scenes. The central region, which is involved in clocking according to several studies, is particularly activated by the static presentation in deaf people during the estimation of time lapses. Exploration of the occipital region yielded no conclusive results. Our results on the frontal and central regions encourage further study of the neural basis of time processing and its links with auditory capacity.

scholarly journals Fail to Yield? An Analysis of Ambulance Crashes in Taiwan

2021 ◽  
Vol 13 (3) ◽  
pp. 1566
Author(s):  
Rong-Chang Jou ◽  
Ming-Che Chao
Keyword(s):  
Public Education ◽  
Weather Conditions ◽  
Medical Emergency ◽  
Transportation Safety ◽  
Emergency Vehicle ◽  
The Road ◽  
Mnl Model ◽  
On The Road ◽  
Crash Injuries ◽  
The Relationship

Introduction—Medical emergency vehicles help patients get to the hospital quickly. However, there were more and more ambulance crashes on the road in Taiwan during the last decade. This study investigated the characteristics of medical emergency vehicle crashes in Taiwan from January 2003 to December 2016. Methods—The ordered logit (OL) model, multinominal logit (MNL) model, and partial proportional odds (PPO) model were applied to investigate the relationship between the severity of ambulance crash injuries and its risk factors. Results—We found the various factors have different effects on the overall severity of ambulance crashes, such as ambulance drivers’ characteristics and road and weather conditions. When another car was involved in ambulance crashes, there was a disproportionate effect on the different overall severity, as found by the PPO model. Conclusions—The results showed that male ambulance drivers and car drivers who failed to yield to an ambulance had a higher risk of severe injury from ambulance crashes. Ambulance crashes are an emerging issue and need further policies and public education regarding Taiwan’s ambulance transportation safety.

Application of neural networks in predictions of brake wear particulate matter emission

2021 ◽  
pp. 095440702110363
Author(s):  
Saša Vasiljević ◽  
Jasna Glišović ◽  
Nadica Stojanović ◽  
Ivan Grujić
Keyword(s):  
Neural Network ◽  
Neural Networks ◽  
Particulate Matter ◽  
Traffic Control ◽  
World Health ◽  
Vehicle Speed ◽  
System Pressure ◽  
The Neural Network ◽  
Vehicle Systems ◽  
Brake Wear

According to the World Health Organization, air pollution with PM10 and PM2.5 (PM-particulate matter) is a significant problem that can have serious consequences for human health. Vehicles, as one of the main sources of PM10 and PM2.5 emissions, pollute the air and the environment both by creating particles by burning fuel in the engine, and by wearing of various elements in some vehicle systems. In this paper, the authors conducted the prediction of the formation of PM10 and PM2.5 particles generated by the wear of the braking system using a neural network (Artificial Neural Networks (ANN)). In this case, the neural network model was created based on the generated particles that were measured experimentally, while the validity of the created neural network was checked by means of a comparative analysis of the experimentally measured amount of particles and the prediction results. The experimental results were obtained by testing on an inertial braking dynamometer, where braking was performed in several modes, that is under different braking parameters (simulated vehicle speed, brake system pressure, temperature, braking time, braking torque). During braking, the concentration of PM10 and PM2.5 particles was measured simultaneously. The total of 196 measurements were performed and these data were used for training, validation, and verification of the neural network. When it comes to simulation, a comparison of two types of neural networks was performed with one output and with two outputs. For each type, network training was conducted using three different algorithms of backpropagation methods. For each neural network, a comparison of the obtained experimental and simulation results was performed. More accurate prediction results were obtained by the single-output neural network for both particulate sizes, while the smallest error was found in the case of a trained neural network using the Levenberg-Marquardt backward propagation algorithm. The aim of creating such a prediction model is to prove that by using neural networks it is possible to predict the emission of particles generated by brake wear, which can be further used for modern traffic systems such as traffic control. In addition, this wear algorithm could be applied on other vehicle systems, such as a clutch or tires.

Road Feel Design for Vehicle Steer-by-Wire System Based on Joystick

2013 ◽  
Vol 336-338 ◽  
pp. 734-737
Author(s):  
Hong Yu Zheng ◽  
Ya Ning Han ◽  
Chang Fu Zong
Keyword(s):  
Computer Simulation ◽  
Control Strategy ◽  
Vehicle Speed ◽  
Control Module ◽  
Matlab Simulink ◽  
The Road ◽  
Steering Feel ◽  
Steer By Wire ◽  
Simulation Results ◽  
Wire System

In order to solve the problem of road feel feedback of vehicle steer-by-wire (SBW) system based on joystick, a road feel control strategy was established to analyze the road feel theory of traditional steer system, which included return, assist and damp control module. By verifying the computer simulation results with the control strategy from software of CarSim and Matlab/Simulink, it shows that the proposed strategy can effective get road feel in different vehicle speed conditions and could improve the vehicle maneuverability to achieve desired steering feel by different drivers.

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