Speeds In Excess Research Articles

Fear of Speed in the Philosophy of Paul Virilio

Now we are in a very new society, and speed is one of the characteristics of this society. This speed, which has become part of our human nature and has affected our consciousness, has brought with it fear.High-speed trains, drones, the Internet, laser-powered rockets, etc., all make speed seem absolute. The speed of the times, which has become an ideology and has occupied the public, is also seen in the economy, the military and politics. Our movement has become part of us under the pressure of this speed. Our movements are not normal and are present everywhere (in the bank, in the bedroom, in the bathroom, on the train, in...). In other words, our time is an age of excessive speed. Speed is responsible for all our accidents. Accidents are products of speed. The bigger and faster the trains, ships and planes, the bigger the accidents. This is where the fear of speed begins. Paul Virilio’s (19322018-) philosophical works have not been studied at the Kurdish Academy. In this study, the fear of speed in Virilio’s philosophy is the fear of several subjects, which form the basis of this study. Fear of speed is a fear of the physical dimension of the new civilization, a technological civilization, which plays a major role in creating speed and acceleration, and a fear of speed technologies, which degrade distance and physical experience. The study believes that the destructive forces of modern civilizational technologies and techno-industrial society, which brought about this speed, are responsible for creating fear. Thus, when Paul Virilio focuses on speed in his research, he brings us closer to the speed of the new man and his behavior. That is, he considers speed as a test of knowledge of the times and their phenomena. Therefore, this study, which is about fear of the speed of time, has two important objectives. The first goal is to work on Virilio’s philosophical approach to speed, which has produced social and political acceleration. Another purpose of this study is to examine how the physical speed of technology, which is a Virilio theory, affects the phenomena of new society (movement, time, body, city, war) and becomes a source of fear. So according to Virilio’s philosophy of dromology, speed is the best measure of the growth of today’s society.

Geometrical and temperature impact on elucidation of intermolecular interactions for the binary mixtures of morpholine with aliphatic esters by thermodynamic, FTIR and DFT study

Abstract In this investigation, the binary solutions of morpholine (MP) with tert-butyl acetate (TBA), iso-butyl acetate (IBA), butyl acetate (BA) and butyl acrylate (BAC) were prepared for the densities (ρ) and speeds of sound (u) measurements at T = (303.15, 308.15, 313.15 and 318.15) K over the entire composition range and at atmospheric pressure (P = 0.1 MPa). From these data, excess thermodynamic properties such as excess molar volume ( V m E ${V}_{m}^{E}$ ), excess isentropic compressibility ( κ S E ${\kappa }_{S}^{E}$ ) and excess speeds of sound ( u E ${u}^{E}$ ) were calculated to elucidate the strength and types of intermolecular interactions between the component molecules. Redlich-Kister (RK) equation and Prigogine–Flory–Patterson (PFP) theory was applied to correlate the excess parameters and excess volumes, respectively. Further, intermolecular free length theory and collision frequency theory were used to correlate the speed of sound data. Shifting of bands (δν), bond length and hydrogen bond strength between the atoms were calculated from the experimental FTIR and DFT theoretical studies. The systematic increasing order of the intermolecular hydrogen bond strength between the two atoms in the studied binary systems as follows: TBA > IBA > BA > BAC.

Experimental, theoretical, computational and spectroscopic analysis in binary liquid mixtures containing 1-propanol and C-1 to C-4 alkyl acetates (T = 298.15–318.15 K): Physicochemical properties and molecular interaction studies

The molecular interactions between 1-propanol (1P) (1) and alkyl acetates (AAc) (C1-C4) (2) were examined by understanding of thermophysical properties of given binary liquid mixtures. Density (ρ), viscosity (η) and speed of sound (u) were measured for 1P, AAc and their binary mixture at T = 298.15–318.15 K with interval of 5 K at 0.1 MPa. Experimental data of ρ, η and u were used to evaluate VmE (excess molar volume), uE (excess ultrasonic speed), Δη (deviation in viscosity), ksE (excess molar isentropic compressibility), G∗E (excess Gibbs free energy of activation of viscous flow), VfE (excess free volume), LfE (excess intermolecular free length) and VaE (excess available volume) and correlated with R.K. (Redlich-Kister polynomial) equation. VmE data was also examined in term of Graph theoretical approach (GTA) and Prigogine-Flory-Patterson (PFP) theory. Δη were analyzed by Bloomfield and Dewan model (BFD) and also examined in terms of Graph theoretical approach (GTA). The u data was examined by different correlations like Van Dael, Nomoto, JFLT (Jacobson’s free length theory), Impedance dependence and CFT (Schaaff’s collision factor theory). FT-IR spectroscopic studies provide important information for understanding the intermolecular interactions between 1P (1) and AAc (2) components in the binary mixture which is also recognized by GTA. Further, DFT studies indicated the strength of molecular interactions and supported the graph theory in predicting probable associative molecular species in the liquid mixtures.

Binary Mixtures of n-Tridecane with n-Alkylcyclohexanes: Density, Viscosity, and Speed of Sound within the Temperature Range (288.15 to 333.15) K

Measurements of the densities, viscosities, and speeds of sound of binary mixtures of n-tridecane and n-alkylcyclohexanes (methyl-, ethyl-, butyl-, pentyl-, heptyl-, octyl-, decyl-, and dodecylcyclohexanes) are reported at various mole fractions. Mixture densities, viscosities, and speeds of sound increased with a decrease in temperature and an increase in the component with the higher property value. Excess molar volumes (VmE’s) decreased with increasing alkyl chain length on the n-alkylcyclohexanes. The excess speeds of sound (cE’s) decreased as the n-alkyl chain length decreased until a minimum was reached for ethylcyclohexane, and then it increased for methylcyclohexane. For all molecules tested except methylcyclohexane, VmE’s and excess isentropic compressibilities (KsE’s) had the same sign, suggesting that the amount of space taken up by the molecules was influencing compressibility. Methylcyclohexane, however, had the largest positive VmE, but its excess compressibility was negative and close to zero. Its extra space was not more compressible. The VmE’s, cE’s, and viscosity deviations for n-tridecane mixtures fell between those reported for n-dodecane and n-hexadecane. These data and trends can be used by fuel researchers who are formulating mixtures to represent various fuels.

Carbon savings, fun, and money: The effectiveness of multiple motives for eco-driving and green charging with electric vehicles in Germany

Electric vehicles can contribute to CO2 emission reduction significantly because these vehicles can be charged with renewable energy (green charging). Second, these vehicles can be driven energy-efficiently by using in-vehicle eco-features and by adapting eco-driving behaviors (e.g., avoid excessive speed). However, both green charging and eco-driving are associated with behavioral costs (e.g., time losses), which could discourage individuals from performing the behaviors. Therefore, this study investigated if interventions (e.g., monetary incentives) could motivate behavioral action. We conducted an experimental driving study with 94 German drivers on the company site of a vehicle manufacturer and on public roads in the south of Germany to investigate how combined interventions affect green charging and eco-driving. Participants were randomly assigned to the intervention or the control group. The findings suggest that a combined intervention with informational cues (i.e., CO2 emission savings) as well as gamified (i.e., competitive task) and monetary incentives did not significantly motivate individuals to choose a green charging station. However, the intervention did motivate individuals to seek eco-driving information. Being interested in eco-driving behaviors helped to improve energy consumption during a real-world drive. Hence, interventions providing behavioral information and addressing multiple motives should be further investigated to understand how future electric vehicle owners can be motivated to behave pro-environmentally.

The assessment of using fiber produced from plastic broom bristles on impact property of Normal-weight concrete slabs

One of the worst epidemics that endangers our life and has an impact on the future is the epidemic of road accidents. The goal of this study is to define traffic accidents, comprehend their causes, pinpoint the key elements that affect the seriousness of driver injuries, and ultimately identify the factors that contribute to accidents, such as excessive speed, alcohol, and drug use, the driver, the road, the vehicle, and environmental factors. Understanding prior research and studies is crucial. In earlier experiments, data visualization is accomplished using the VOS viewer. The Dimension Web of Science and Scopus websites were used to download the information for the keywords in Excel format. By country, it lists these terms by authors and researchers. The researcher was able to conduct a study that was identical to his or her study with the aid of the keywords "driver injury severity", "driver crash", and "crash analysis".

A scientometric analysis and bibliometric review of driver injury severity crashes studies

One of the worst epidemics that endangers our life and has an impact on the future is the epidemic of road accidents. The goal of this study is to define traffic accidents, comprehend their causes, pinpoint the key elements that affect the seriousness of driver injuries, and ultimately identify the factors that contribute to accidents, such as excessive speed, alcohol, and drug use, the driver, the road, the vehicle, and environmental factors. Understanding prior research and studies is crucial. In earlier experiments, data visualization was accomplished using the VOS viewer. The Dimension, Web of Science, and Scopus websites were used to download the information for the keywords in Excel format. By country, it lists these terms, authors, and researchers. The researcher was able to conduct a study that was identical to his or her study with the aid of the keywords " driver injury severity," " driver crash," and " crash analysis.".

Motion stability analysis of cage of rolling bearing under the variable-speed condition

The fluctuation of the cage rotating speed will lead to the strong instability of the cage movement of the rolling bearing, which will seriously affect the operation performance and service life of the bearing. In this paper, a nonlinear dynamic model of a cylindrical roller bearing is established considering the dynamic contact relationship between the rollers, the raceways, and the cage. The variation of cage motion characteristics and its internal mechanism under the uniform, acceleration, deceleration, and harmonic speed fluctuation are discussed, respectively. The effects of angular acceleration, angular deceleration, amplitude, and period of fluctuation on cage stability are analyzed. The results show the unstable motion of the cage mainly happens at the initial stage of the acceleration process and the later stage of the deceleration process. Appropriate increases in angular acceleration and deceleration can help to improve the stability of the cage movement, but excessive speed fluctuations should be avoided to adversely affect the stability of the cage. The guiding force between the cage and the outer raceway plays an important role in the stability of the cage under variable-speed conditions. The results of this paper can provide a theoretical basis for the design and failure analysis of the cage.

Study of molecular interactions between 2-methyl 1-propanol and m-substituted aniline at various temperatures (thermodynamic and acoustic properties)

ABSTRACT Excess molar volumes (V E), excess acoustic impedance (Z E), excess isentropic compressibility (κ s E), deviation in viscosity (Δη), excess Gibbs energy of activation of viscous flow (G *E), excess free length (L f E), excess enthalpy (H E) and excess speed of sound (U E) for binary mixtures of 2-methyl-1-propanol with meta-substituted aniline (3-chloroaniline, 3-methoxyaniline and 3-methylaniline) at selected compositions were determined from the measured values of densities (ρ), viscosities (η) and speeds of sound (u) of pure components and their mixtures in range of 303.15–313.15 K. The results are analysed in terms of interactions arising due to the formation of complex hydrogen bond electron in the binary mixtures. Different theoretical models were applied to check the applicability to the present values of speed of sound and viscosity. Finally, the Prigogine–Flory–Patterson theory is applied to identify the most predominant molecular interaction.

A Study on the Evacuation of an Extra-Long Highway Tunnel Fire—A Case Study of Chengkai Tunnel

The smoke from tunnel fires spreads over long distances and is difficult to vent. Smoke accumulation leads to high temperatures, low visibility, and high concentrations of toxic gases, which greatly hinders the evacuation of people inside the tunnel. In this paper, a representative extra-long highway tunnel—Chengkai Tunnel—is selected as the engineering background, and a tunnel model is built using FDS and Pathfinder software to simulate the fire scenario and evacuation scenario under different longitudinal wind speeds. The concept of safe evacuation reliability is proposed to describe the relationship between the ASET (available safe egress time) and the RSET (required safe egress time). The simulation results show that with the increase in longitudinal wind speed, the ASET upstream of fire source increases first and then remains unchanged, while ASET downstream of fire source increases first and then decreases. The ASET upstream of the fire source is affected by visibility, while the ASET downstream of the fire source is affected by visibility when the wind speed is low, and is affected by temperature as the wind speed increases. The bottleneck effect is an important reason for the long evacuation time of people. The blockage time is a power function of the evacuation movement time, and increasing the width of the cross passage can improve the evacuation efficiency of the tunnel. The increase in the number of evacuees will reduce the reliability of the safe evacuation of personnel. Among all simulated scenarios, a longitudinal wind speed of 2.5 m/s has the highest safe evacuation reliability, with 0.79, 0.92, and 0.99 for scenarios R1, R2, and R3, respectively. Excessive wind speed reduces the safe evacuation reliability downstream of the fire source.

Mobile application with business intelligence to optimize the control process of tourist agencies

<span lang="EN-US">Currently, tourism companies do not have a strict control of clients, drivers, buses, guides and tickets; Drivers are known to drive at excessive speed and put their lives and the lives of their customers at risk, this occurs because drivers want to gain more passengers or race with a car from the same company. For this reason, the research work aims to optimize the travel control process for tourism companies by applying business intelligence. The kimball methodology was used, which allows making a dimensional model with dimensions and a central table of the process or event that occurs in real time, tourism companies would be benefiting since in decision-making in the field of travel control, they would have the most relevant data. In addition, users are also beneficiaries, clients who minimize risks when acquiring the tourism service, this would increase more profits for the tourism company and increase its clientele.</span>

A Radar Detection Method of Reentry Target Based on Frequency-Domain Processing

When the reentry target passes through the earth’s atmosphere, its surface is covered with a layer of plasma sheath. In the process of radar detection of the reentry target, the echo signal will couple with multi-Doppler frequency components and form multiple mismatch effects with matched filter, which will produce false targets on the 1-D range profile. Meanwhile, the excessive speed of the reentry target will lead to the phenomenon of migration through range cells (MTRCs), which will further affect the detection and recognition of the target. This article proposes an improved frequency-domain compensation method that aims at false target and cross-range unit migration. By constructing the intrapulse Doppler frequency and interpulse Doppler frequency compensation functions, the multiperiod echo signal is processed to eliminate the MTRC phenomenon and improve the energy gain of the real target. Finally, the feasibility of the proposed algorithm is verified by simulation, which lays a theoretical foundation for the effective detection and reliable tracking of plasma-sheath-covered targets.

LC2BS – Low Cost Secondary Braking System Implemented using Arduino and Motor Speed Control Mechanism

In the industrialised world, roads constitute a huge problem. According to recent research, excessive or unsuitable speed as well as changes in the highway are linked to one-third of fatal or severe accidents. Accidents brought on by brake failure are a problem as well. The major cause of brake failure, pressure loss, is failure in the brake lining. A backup braking system has been created in case of unexpected brake failure or partial brake failure in order to prevent accidents. The project involves creating a hardware braking system using an Arduino, motors, and speed control that is displayed on an LCD screen. This system continuously monitors the condition of the brake wire, notifies the driver in the event of a primary brake failure, and automatically engages the secondary braking system.

Intelligent PIV Fuzzy Navigation and Attitude Controller for an Octorotor Mini-UAV

In this research, a proportional plus integral plus velocity (PIV) fuzzy gain scheduling flight controller for an octorotor mini-unmanned aerial vehicle is developed. The designed flight controller scheme, with a PIV term, is combined with a fuzzy gain scheduling approach. The tracking controller PIV fuzzy gain scheduling is based on two controllers connected in cascade with a saturation approach. The Newton–Euler equations of motion are applied to obtain a mathematical model for the octorotor mini-unmanned aerial vehicle (mini-UAV). The flight controller approach is applied to obtain coupling moments and forces with interconnected attitude and navigation tracking trajectory. In the design of a flight navigation controller with two layers, the inner layer consists of a PIV fuzzy gain scheduling controller that is applied to the attitude dynamics, obtaining the references for the coupling outer layer PIV fuzzy gain scheduling controller, which manipulates the translational dynamics. The navigation PIV fuzzy gain scheduling controller is saturated for bounding in translational forces to avoid large deviations of commands to Euler angles pitch and roll, and another saturated controller is implemented for the bounded thrust rotor to avoid the excessive angular speed of these rotors. The octorotor mini-UAV flight navigation simulation is performed to validate the tracking control of a sequence of motions in each axis, which is presented as a validation for the proposed control scheme.

Modelling Road Work Zone Crashes’ Nature and Type of Person Involved Using Multinomial Logistic Regression

The sustainable development goals “Good health and well-being” and “Sustainable cities and communities” of the United Nations and World Health Organization, alert governments and researchers and raise awareness about road safety problems and the need to mitigate them. In Portugal, after the economic crisis of 2008–2013, a significant amount of road assets demand investment in maintenance and rehabilitation. The areas where these actions take place are called work zones. Considering the particularities of these areas, the proposed work aims to identify the main factors that impact the occurrence of work zones crashes. It uses the statistical technique of multinomial logistic regression, applied to official data on road crashes occurred in mainland Portugal, during the period of 2010–2015. Usually, multinomial logistic regression models are developed for crash and injury severity. In this work, the feasibility of developing predictive models for crash nature (collision, run off road and running over pedestrians) and for type of person involved in the crash (driver, passenger and pedestrian), considering only one covariate (the number of persons involved in the crash), was studied. For the two predictive models obtained, the variables road environment (urban/rural), horizontal geometric design (straight/curve), pavement grip conditions (good/bad), heavy vehicle involvement, and injury severity (fatalities, serious and slightly injuries), were identified as the preponderant factors in a universe of 230 investigated variables. Results point to an increase of work zone crash probability due to driver actions such as running straight and excessive speed for the prevailing conditions.

Optimization of rock cutting process parameters with disc cutter for wear and cutting energy reduction based on the discrete element method

The significance of the study is that the analysis of cutting performance and parameter optimization of the disc cutter can effectively improve the service life of the tool and reduce the cutting energy consumption. The method of the study is as follows: The numerical model based on the discrete element method was developed for rock cutting. The validation experiment was carried out to prove the reliability of the numerical model. The effect of swing arm speed, spindle speed and cutting depth on the wear, cutting specific energy and broken rock volume of the disc cutter was analyzed. The prediction models of cutting wear and cutting specific energy were established based on the response surface method, and the parameters were optimized. The validation experiment was carried out with the obtained optimal parameters as experimental conditions. The experiment verifies the reliability of the disc cutter wear and energy consumption optimization models. The conclusion is as follows: The cutting depth has the greatest effect on the wear of the disc cutter, followed by the spindle speed, while the swing arm speed has the least effect on the wear of the disc cutter. With the increase of the swing arm speed and cutting depth, the wear of the disc cutter increases. The maximum cutting wear can reach 4.75 mm and 5.03 mm. The average cutting wear can reach 2.57 mm and 2.29 mm. With the decrease of the spindle speed, the wear of the disc cutter increases, and the maximum wear and average wear can reach 4.71 mm and 2.30 mm. The increase of swing arm speed and cutting depth can improve cutting efficiency, but excessive swing arm speed and cutting depth will increase the wear and reduce the tool life. The swing arm speed has the greatest influence on the cutting specific energy, followed by the spindle speed, while the cutting depth has the least influence on the cutting specific energy. As the swing arm speed increases, the energy consumption of cutting becomes larger. The increase of the swing arm speed can improve the cutting efficiency, but the excessive swing arm speed will increase the energy consumption. With the increase of spindle speed, the rock cutting efficiency of the disc cutter becomes larger, and the energy consumption first decreases and then increases. Too small spindle speed will aggravate the energy consumption. The maximum cutting specific energy can reach 29.85 MJ/m3. When the swing arm speed v = 5 mm/s, the spindle speed n = 99 r/min and the cutting depth h = 14 mm, the wear and energy consumption of the disc cutter are minimal at the same time, which shows that the cutting performance of the disc cutter is better. The average wear and cutting specific energy of the disc cutter after parameter optimization are 1.64 mm and 17.59 MJ/m3, respectively. The conclusion of the study is that the experiments have verified the reliability of the discrete element disc cutter rock cutting analysis model, which can simulate the disc cutter cutting process more accurately. The optimization model is reliable, and the wear and energy consumption of the disc cutter are minimal at the same time after the optimization analysis, which provides a theoretical reference for improving the service life of the disc cutter and reducing the cutting energy consumption.

Wetting and deposition characteristics of air-assisted spray droplet on large broad-leaved crop canopy.

Precision and efficient pesticide spraying is an important part of precision agriculture, banana is a large broad-leaved plant, with pests and diseases, has a high demand for spraying and pest control. The purpose of this study was to clarify the wettability of different pesticides on the banana leaf surface, and the effects of nozzle type and working parameters on the deposition distribution performance under air-assisted spray conditions. The wettability test results of different pesticides on banana leaf surfaces showed that the wettability of the adaxial side was always stronger than that of the abaxial side, the smaller the surface tension of the droplets, the better the wettability on the surface. The spray experiment was carried out on the previously developed air-assisted sprayer with the latest developed intelligent variable spray control system. Three types of nozzles were used to spray with different combinations of working parameters. The deposition distribution performance on the banana leaf surface was obtained by image processing using a self-compiled program. The experimental results show that the nozzle type, wind speed, and spray pressure have significant effects on the deposition distribution performance. Through the study of the interaction and coupling effect of nozzle type and working parameters on the spray droplet deposition distribution on both sides of banana leaves, the results show that under the conditions of hollow cone nozzle, 0.5Mpa spray pressure and 3-5m/s wind speed, the spray coverage and droplet density are in the optimal state. This is mainly due to the low spray pressure and/or wind speed is not enough to make the banana leaves vibrate and improve the performance of pesticide deposition. excessive spray pressure and/or wind speed will cause large deformation of banana leaves and make them airfoil stable, which reduces the surface deposition performance. It is of great significance for promoting sustainable and intelligent phytoprotection.

An augmented multiphase rail launcher with a modular design: theoretical considerations and development

PurposeThe purpose of this paper is to investigate a novel approach toward electromagnetic launch.Design/methodology/approachThe field of linear electromagnetic acceleration aims at accelerating macroscopic masses (up to several kg) to speeds in excess of 2 km/s. This can be achieved using accelerators of the railgun type. The innovation of this work lies in the use of multiphase current instead of the classically used quasi-direct current (DC). The approach taken is to work out in a first step the potential performance of such a configuration, for example, by showing that a constant propulsive force can be realized. Next, the necessary changes for the system setup were carefully analyzed. Both the accelerator and the power supply have to be considerably modified with regard to the classical approach.FindingsThorough analysis of the electromagnetic behavior of the launcher including nonlinear effects lead to an innovative system design which is considered to be the main finding of the work presented here. Moreover, a prototype was build. The preliminary experimental results obtained are in very good agreement with corresponding simulations validating the underlying modeling approach.Research limitations/implicationsFor the purpose of this paper, power levels of only 450 kVA are considered. However, this research can be used to design more powerful devices in the future.Originality/valueWhile DC powered railguns are modeled very well in a variety of papers, the use of multiphase alternating current is not very well discussed yet. It could be of value for launch scenarios, for which very high speeds are required such as the launch of micro satellites to space.

Design and Implementation of Automated Law Enforcement using the Internet of Things (IoT)

Due to a lack of legal enforcement, numerous vehicle accidents occur every year throughout the world. An effective vehicle tracking system is developed, tested, and classified in order to identify the speed of any vehicle in any street at any time and from any location (highways, crowded or secondary roads). The suggested system makes use of IoT technology, which is a relatively new development that has already made significant contributions to scientific research as well as offers many wonderful conveniences in daily life. The in-vehicle device utilizes GPS and GSM/GPRS, two of the most commonly used tracking technologies. The device is integrated into a moving object (vehicle) that is automatically tracked and observed in real-time. Through the OBD interface, the Raspberry Pi microcontroller periodically reads the vehicle speed. The Raspberry Pi microcontroller is equipped with GPS and GSM/GPRS modules to track the location of the vehicle. and, when the speed limit is exceeded, sends the coordinates and speed to the central station over the internet. The data pertaining to each vehicle is kept in a database at the central station. Based on the data gathered from the in-vehicle gadget, the driver who exceeded the speed limit will immediately receive a fine through the central station. The proposed system will help in reducing the likelihood of driver fraudulence and has demonstrated its efficiency and accuracy to reduce excessive speed and traffic accidents, leading to the daily saving of many lives. The system has been successfully built and effectively tested at a lower cost than traditional systems that rely on the use of cameras on each road.

A REVIEW OF FACTORS ASSOCIATED WITH DRIVING UNDER THE INFLUENCE OF ALCOHOL

Research into factors related to drink-driving is one of the challenges the researchers face in their scientific work. Creating conditions that would serve for prediction of driving under the influence of alcohol (DUI) is one of the goals of such research studies. A meta-analysis of DUI-related factors has been performed in this study. The first stage of the analysis includes the search of the ScienceDirect database. Two phrases have been used for the search: "alcohol and crash" and "DUI and crash". The research from the mentioned journal that is included in the meta-analysis, had to satisfy the condition in which the association between one of the factors and driving under the influence has been presented. The following are the three ways in which DUI has been defined: 1) self-reported behaviour, 2) testing performed by police officers, and 3) involvement in a road accident while being under the influence of alcohol. The second stage has seen the creation of a database of the strength of association between one of the factors and DUI, taken from selected papers in the database. All the factors that could be related to alcohol have been observed and included the following: driving style, characteristics of the driver, time and place of driving, characteristics of the vehicle, etc. Following the search of more than 1,000 studies in this field, an odds ratio has been created to associate the factors with DUI. The odds ratio of association (OR) represents the strength of association between a particular factor and DUI. By applying the mentioned methodology, a conclusion on the association between the factors and DUI has been drawn and may be used for prediction and as a typical example of DUI drivers in road traffic. When it comes to driver behaviour, the most important predictors of DUI are excessive speed, driving at night-time, failing to wear a seat belt, previous DUI experience, the presence of passengers in a car. As for the location, the greatest odds ratio associated with a DUI driver concerns driving an older car on a two-lane road in the urban area. The results of this study can be used for further development of the legislation related to drink-driving and consequently for improvement of the road safety situation in a territory.