Speeds In Excess Research Articles

OPTIMIZATION OF URBAN THERMAL ENVIRONMENT FOR INDONESIA COASTAL-CLIMATE URBAN AREA: A MICROCLIMATIC MODELING

Coastal urban areas, one of which is the PIK 2, Tangerang Regency, Indonesia, as the study case, have distinctive climate characteristics: changes in land and sea breezes during different seasons and high humidity and wind speed levels, which affect thermal comfort. The optimal building mass needs to be studied to achieve ideal thermal comfort conditions, which can effectively respond to climate characteristics different from those of other urban areas. This paper investigates the existing urban thermal environment and models the impact of building orientation, form, and H/W ratio simulated in ENVI-met. Based on the study findings, it has been determined that positioning a building diagonally towards the sea at a 45-degree angle effectively reduces excessive wind speeds, resulting in a favorable PMV score. Additionally, incorporating a sky bridge into the building form design provides adequate shading and contributes to achieving optimal thermal comfort in coastal-climate urban areas. Moreover, the optimal H/W ratio is 0.5, which can reduce wind speed without significantly lowering the temperature, thereby maintaining thermal comfort.

ГЕОМЕТРИЧЕСКИЙ АНАЛИЗ ШАРНИРНОГО МЕХАНИЗМА ЦЕНТРОБЕЖНОГО ОГРАНИЧИТЕЛЯ СКОРОСТИ ЛИФТА С ДВУМЯ ВЫХОДНЫМИ ЗВЕНЬЯМИ

The article draws attention to the emergence of new promising designs of double-acting centrifugal speed limiters with a horizontal position of the axes of their devices controlling the excess speed, for example, the design of the speed limiter Vega, manufactured by Dynatech, with a horizontal position of the axis of its centrifugal device controlling the overspeed and the counter arrangement of its working bodies. The structural scheme of a similar speed limiter developed at JSC “Mogilevliftmash” is presented, which differs by collinear arrangement of the pulley and its centrifugal mechanism. The attention is paid to the absence in the free press of the design and calculation methodology of the above-mentioned speed limiters with the counter arrangement of the working bodies. The structural scheme is analyzed and attention is drawn to its asymmetry. The geometrical analysis of the articulated crank-and-rocker mechanism of the speed limiter with two output links (rocker arms) connected by connecting rods with a common input link (crank) is carried out. The dependences of the displacement of the output links on the angle of rotation of the input link are established for both parts of the mechanism, and their difference is confirmed. For the investigated speed limiter with specific dimensions of the mechanism links, the actual asynchrony of the displacement of the output links is determined. Attention is drawn to the necessity to ensure invariance of operation of the double-acting speed limiter regardless of the direction of rotation of its pulley. It is shown that non-synchronous movement of working bodies can lead to partial loss of functionality of the speed limiter and, accordingly, transformation of the double-sided limiter into a single-acting one. The problem of expediency of selection of possible variants of optimum combination of sizes of links of the mechanism is formulated for reduction of movement asynchrony of its output links and possibility of using the investigated structural scheme in precision mechanisms, in particular, in the double-acting centrifugal lift speed limiter.

A systematic review of incentive schemes and their implications for truck driver safety performance

Introduction: This systematic review investigates the effects of monetary and non-monetary incentive schemes on the safety performance of truck drivers, a critical concern within the road freight industry. Method: The review analyzes 18 studies and dissects the impact of compensation levels, compensation methods, and non-monetary benefits on drivers’ safety behaviors. Results: The findings show that, in general, higher levels of compensation, both through selection and incentive effects, enhance safety performance by attracting more skilled drivers and incentivizing adherence to safety protocols. However, the structure of these compensations, particularly piece-rate wages, and payment for non-driving hours, reveals a double-edged sword; while incentivizing productivity, they inadvertently promote unsafe driving behaviors such as excessive speeding and insufficient rest due to economic pressures. Conversely, non-monetary incentives, though under-researched, show potential for improving safety outcomes by enhancing job satisfaction and work environment quality. Practical applications: This review highlights the need for future research on safety incentives to evaluate the full extent of the intersection between incentives, safety culture, and working conditions. It advocates for holistic compensation strategies that foster a safety culture in the trucking industry, marking a new direction for improving driver behavior.

A Robust TrafficSignNet Algorithm for Enhanced Traffic Sign Recognition in Autonomous Vehicles Under Varying Light Conditions

Recent years have witnessed significant advancements in machine perception, particularly in the context of self-driving vehicles. The accurate detection and interpretation of road signs by these vehicles are crucial for enhancing safety, intelligence, and efficiency on the roads. Consequently, there is a growing body of research dedicated to improving traffic sign recognition technologies, a key component of intelligent transportation systems. Annual statistics highlight numerous accidents attributable to factors such as excessive speed, variable lighting conditions, and the misinterpretation of traffic signs. In response to these challenges, a novel approach for the rapid and reliable recognition of traffic signs by moving vehicles has been developed. This approach leverages a custom dataset encompassing twelve object categories and seven subcategories, reflective of road sign diversities encountered in India. A specialized algorithm, TrafficSignNet, was devised to specifically identify signs related to speed, turning, zones, and bumps. This algorithm was trained on a comprehensive dataset comprising 4,962 images, with its performance evaluated using 705 images from real traffic scenarios. The evaluation demonstrates that the model achieves remarkable accuracy across various lighting conditions, processing up to 12 frames per second. This processing rate is compatible with the high-definition standards of contemporary vehicle cameras, which is 1280 × 720 pixels. The model's effectiveness is quantified through accuracy, precision, recall, and F1 score, with respective values of 0.985, 0.978, 0.964, and 0.971, showcasing its potential to significantly contribute to the advancement of smart transportation systems.

Multi-fault diagnosis of industrial rotating machines using advanced sliding window and WSST-CNN

Accurate fault diagnosis of rotating machines is the most important part of industries, as it helps manage the workforce and inventory within the stipulated time. In industries, when the fault occurs at one component, that may propagate to other components due to excessive speed and load, leading to the occurrence of a simultaneous fault condition. Identification of multi-component faults is relatively more difficult than single-component faults due to the possibility of characteristic frequency overlapping that is observed during signal processing. This work considered various single and complex multi-component fault conditions of a rotating machine, and data is acquired at different speed and load conditions using a standard acoustic array setup. The signals are then converted into signal segments using a continuously moving advanced sliding window. From the extracted segments time-frequency spectrums are generated by using Wavelet Synchrosqueezed Transform (WSST) followed by the training of deep neural networks. The performance analysis of the model is carried out, and it is found that the proposed methodology helped diagnose multi-faults at different speed and load conditions. It mitigates the complexity of high-end signal processing techniques for distinguishing the fault characteristics. This study will be beneficial for industries to diagnose multi-faults in incipiently.

Thermodynamic and transport properties of binary mixtures containing 1,2-propanediol with 2-methoxyethanol and 2-ethoxyethanol at different temperatures

In the present investigation density, speed of sound, and viscosity have been reported for binary liquid mixtures of 1,2-propanediol (1,2-PD) with 2-methoxyethanol (2-ME) and 2-ethoxyethanol (2-EE) over the entire composition range at T= (298.15–323.15) K. From the experimental data, excess molar volume, (VmE), excess isentropic compressibility, (κsE), excess molar isentropic compressibility, (κs,mE), excess speed of sound, (uE), excess isobaric thermal expansion,αpE, and deviation in viscosity (Δη) of liquid mixtures have been calculated. The excess partial molar volume,V¯m,1E, V¯m,2E , excess partial molar isentropic compressibility, K¯s,m,1EK¯s,m,2E over the whole composition range together with partial molar volume,V¯m,10, V¯m,20, partial molar isentropic compressibility K¯s,m,10,K¯s,m,20, excess partial molar volume,V¯m,10E, V¯m,20E and excess partial molar isentropic compressibility, K¯s,m,10E,K¯s,m,20E at infinite dilution have also been calculated. All excess properties have been correlated using the Redlich-Kister smoothing polynomial equation. The VmE results are analysed in the light of Prigogine-Flory-Patterson theory. Analysis of each of the three contributions viz. interactional, free volume, and P* to VmE has shown that interactional contribution and free volume effect are negative for all the mixtures, and P* contribution is positive for the mixtures of 2-ME. The variations of these parameters with changes in composition and temperature have been discussed in terms of intermolecular interactions prevailing in these mixtures. Further, the viscosities of these binary mixtures were correlated theoretically by using various empirical and semi-empirical models and the results were compared with the experimental findings.

Insight into molecular interactions prevailing in N,N-dimethylformamide + alkyl acrylates mixtures at different temperatures: An experimental and theoretical investigation

The excess isentropic compressibility, excess speed of sound, excess molar isentropic compressibility and deviation in viscosity were evaluated from the experimental values of speeds of sound and viscosities of N,N-dimethylformamide + methyl acrylate/ethyl acrylate/n-butyl acrylate binary mixtures over the entire composition range at temperatures (288.15–318.15) K and pressure (101 kPa). Further, the partial molar isentropic compressibility; excess partial molar isentropic compressibility of the components over the entire composition range and also at infinite dilution have been calculated. These evaluated parameters have been interpreted in relations to prevailing interactions in these mixtures. These interactions were found dependent on the size of alkyl group in acrylate molecules and the amide-acrylate interactions decline with increase in size of the alkyl group. Moreover, the speeds of sound for the mixtures were calculated by scaled particle theory and the results compared well with the experimental results. Also, the viscosities of these mixtures were correlated by means of various empirical relations and the results were found in good agreement with the experimental results.

Adaptive Curve Passing Control in Autonomous Vehicles with Integrated Dynamics and Camera-Based Radius Estimation

Autonomous vehicles frequently encounter performance degradation during high-speed cornering due to excessive speed and lateral acceleration, potentially leading to collisions or rollovers. This paper proposes a novel curve-passing control approach that first estimates the curve radius and then controls the steer and speed for smooth and comfortable handling. In particular, the curve radius is innovatively estimated using a combination of a camera-based lane detection model and a steering wheel dynamic model. The curve-passing control approach is validated on high-speed ramps and curves, demonstrating its robustness and intelligence to adapt to dynamic changes in curve curvature. The model effectively prevents vehicles from entering curves at dangerously high speeds from straight roads and mitigates sudden accelerations or decelerations when entering curves. Experimental results indicate that the vehicle speed is reduced to around 50 km/h and the corresponding acceleration is −0.6 m/s2 upon entering curves with a minimum radius of 150 m. This demonstrates that the proposed control model can ensure a comfortable and safe driving experience by autonomously decelerating the vehicle before entering various types of curves.

System approach in urban transportation case: Huánuco region-Peru

The growing increase in vehicles produces serious congestion problems in urban centers; This situation raises questions about the control methods of the variables of interest in this problem. The case study presented is an approach to the topic and is based on a hypothetical scenario that is modeled and simulated with a systemic approach, considering the individual movement of the vehicles. A methodology is presented for the statistical analysis of the simulation results. The article shows the main aspects in the modeling of a basic traffic control system to simulate it and observe its behavior in the rhythm of arrivals, travel times and speeds, as well as monitoring traffic, in this sense the most important aspects will be illustrated. Relevant aspects that must be addressed in the configuration of a simulation experiment, such as determining the appropriate simulation time, the number of repetitions, the warm-up period, the evaluation of indicators to submit them to the normality test, and the application of techniques of variance reduction, experiencing congestion and evaluating measures to control excessive speed. The operation of traffic lights at intersections is also modeled and evaluated.

Development of a system that changes the speed of the motor for a given radius of curvature of an autonomous car while taking turn

This work endeavors to create a system capable of autonomously regulating a car’s speed while navigating turns, based on the curvature of the road. The primary objective is to bolster the safety and stability of autonomous vehicles by curbing excessive speeds during turns, thereby mitigating the risk of accidents such as loss of control or rollovers. The approach blends theoretical analysis with practical application, involving computations to ascertain the ideal speed for a given curve radius. Factors such as vehicle mass, wheel specifications, and centrifugal and gyroscopic forces are considered in these calculations. Subsequently, an algorithm is devised and implemented using Arduino Uno and programmed within the Arduino IDE software environment. The system employs sensors to monitor the motor’s speed and adjust the motor’s speed accordingly. Both simulated scenarios and real-world experiments validate the system’s efficacy in maintaining safe speeds during turns. The study concludes by underlining the potential of this system to heighten the safety and dependability of autonomous vehicles, while also proposing future avenues for research, such as integration with broader autonomous driving frameworks and field testing across diverse environmental conditions.

Active and Passive Filling Stir Repairing of AISI 304 Alloy

This study investigates active filling friction stir repair (AF-FSR) and passive filling friction stir repair (PF-FSR) for repairing AISI 304 stainless steel sheets, focusing on addressing the challenges posed by high melting point metals. The research involved repairing overlapping 2 mm thick sheets with pre-drilled holes of 2, 4, and 6 mm diameters, simulating broken components. Various process parameters, including rotational speed, dwell time, and the use of metal fillers, were tested to evaluate their impact on repair quality. The results demonstrated that PF-FSR provided superior mechanical strength to AF-FSR, particularly for larger pre-hole diameters. PF-FSR achieved higher shear tension strength due to better defect filling and reduced void formation, with shear tension strengths exceeding 25 kN for larger pre-holes and lower variability in strength measurements. AF-FSR was less effective for larger pre-holes, resulting in significant voids and reduced strength. Microstructural analysis revealed that PF-FSR facilitated more efficient material mixing and filling, minimizing unrepaired regions. However, excessive rotational speeds and dwell times in PF-FSR led to deformation and flash formation, highlighting the need for optimal parameter selection. Although further studies are needed, this study confirms the feasibility of FSR techniques for repairing small defects in AISI 304 steels, offering valuable insights for sustainable manufacturing practices in industries such as automotive and aerospace, where efficient and reliable repair methods are critical.

Study on the tribocharging properties of MgCO3 particles based on LFN-en-A model

Abstract As an efficient and environment-friendly method, electrostatic separation has gradually replaced flotation methods in the separation of magnesite in recent years. In the process of triboelectrostatic separation, the mineral particles are tribocharged driven by the air flow, then the trajectory is shifted under the action of the electric field, so as to realize the separation. The useful mineral in magnesite is MgCO3, but the theoretical research related to the charge characteristics of MgCO3 is not sufficient. Particle image velocimetry (PIV), as an indirect measurement technique, is able to obtain the velocity field of the fluids from images. However, the particles moving in the air have the issues such as excessive speed and small particle size, which make the traditional PIV has low accuracy in estimating the motion of particles. In this paper, a high-speed camera is used to capture the motion trajectory of tribocharged MgCO3 particles in a parallel electric field. A new optical flow method LFN-en-A network based on LiteFlowNet-en network is proposed to compute the particle motion trajectory by combining the deep learning method with the traditional PIV, which realizes the displacement estimation of particles moving in the air. It ultimately realizes the calculation of the charge-to-mass ratio on single particles. Analyzing the accuracy of the LFN-en-A network’s estimation in the experiments, the estimation of LiteFlowNet-en was compared. Changing the shooting frame rate analyzes the optimal one required by the LFN-en-A network. Combining the estimation results of LFN-en-A to calculate the particle charge-to-mass ratio (Q/m), the Q/m of MgCO3 particle was analyzed by changing the experimental conditions in the process of particles’ tribocharging, which provided a new method for particle-to-charge ratio measurement.

Excess acoustic and volumetric properties of polyethylene glycol 200 + methyl/ethyl methacrylate binary mixtures at different temperatures: An experimental and theoretical study

The excess and partial molar properties of binary liquid mixtures can be used to unveil the prevailing intermolecular interactions. The densities, ρ and speeds of sound, u for pure polyethylene glycol 200 (PEG 200), methyl methacrylate, ethyl methacrylate and their binaries (PEG 200 + methyl/ethyl methacrylate) have been measured over the entire composition range in the temperature range (293.15 to 323.15) K at 5 K intervals and at pressure, p = 100 kPa. The excess molar volume, excess isentropic compressibility, excess speed of sound, excess intermolecular free length, excess molar isentropic compressibility and excess acoustic impedance were evaluated using the experimental data. The partial and excess partial molar volumes/compressibilities of the components at each mole fraction and at infinite dilution have also been calculated. The results have been interpreted on the basis of prevailing intermolecular interactions as well as structural effects between like and unlike molecules. The results indicate the effect of the size of alkyl group on excess functions and interactions in these systems and the PEG-methacrylate interactions follow the order: methyl methacrylate > ethyl methacrylate. Scaled particle theory has also been used for the theoretical estimation of the speeds of sound and compared with experimental values. FT-IR spectra of pure PEG 200, methyl methacrylate, ethyl methacrylate and equimolar PEG 200 + methyl methacrylate/ethyl methacrylate mixtures were also recorded and analysed for better understanding of prevailing intermolecular interaction.

Pricing weekly motor insurance drivers’ with behavioral and contextual telematics data

Telematics boxes integrated into vehicles are instrumental in capturing driving data encompassing behavioral and contextual information, including speed, distance travelled by road type, and time of day. These data can be amalgamated with drivers' individual attributes and reported accident occurrences to their respective insurance providers. Our study analyzes a substantial sample size of 19,214 individual drivers over a span of 55 weeks, covering a cumulative distance of 181.4 million kilometers driven. Utilizing this dataset, we develop predictive models for weekly accident frequency. As anticipated based on prior research with yearly data, our findings affirm that behavioral traits, such as instances of excessive speed, and contextual data pertaining to road type and time of day significantly aid in ratemaking design. The predictive models enable the creation of driving scores and personalized warnings, presenting a potential to enhance traffic safety by alerting drivers to perilous conditions. Our discussion delves into the construction of multiplicative scores derived from Poisson regression, contrasting them with additive scores resulting from a linear probability model approach, which offer greater communicability. Furthermore, we demonstrate that the inclusion of lagged behavioral and contextual factors not only enhances prediction accuracy but also lays the foundation for a diverse range of usage-based insurance schemes for weekly payments.

Volumetric and ultrasonic studies of molecular interactions in binary mixtures of N,N-dimethylacetamide with some polyethylene glycols at temperatures from 293.15 to 323.15 K

The intermolecular interactions in N,N-dimethylacetamide (DMA) + polyethylene glycol (PEG) mixtures have been examined from the measurements of the densities, ρ and speeds of sound, u of DMA + PEG 200 or PEG 300 or PEG 400 or PEG 600 mixtures over the entire mole fraction range at temperatures, T = (293.15–323.15) K and atmospheric pressure. Various excess parameters, viz., excess molar volume, excess isentropic compressibility, excess intermolecular free length, excess speed of sound, excess molar isentropic compressibility and excess acoustic impedance were evaluated using measured data. These excess properties were correlated with the Redlich–Kister equation. In addition, the partial molar volume and compressibility; excess partial molar volume and compressibility of the components over the entire composition range; and partial molar volume and compressibility and excess partial molar volume and compressibility of the components at infinite dilution have also been calculated. These evaluated parameters have been interpreted by means of prevailing intermolecular interactions in these mixtures. The presence of strong intermolecular interactions among DMA and PEG molecules have been revealed from the evaluated parameters of these mixtures. The speeds of sound were predicted theoretically using scaled particle theory and compared with experimental values. FT-IR spectra of pure DMA, PEG 200 and their equimolar mixtures were also recorded and analysed for better understanding of prevailing intermolecular interaction.

The contribution of excessive or inappropriate speeds to road traffic crashes and fatalities: A review of literature

Road traffic crashes and fatalities pose a significant global challenge, particularly in low- and middle-income countries (LMICs), where a major cause is consistently linked to speeding (i.e., excessive or inappropriate speeds). However, the existing body of evidence regarding the estimated contribution of speeding to crashes and fatalities, remains limited and is considered outdated. This paper bridges this knowledge gap by reviewing evidence on the contribution of speeding to crashes and fatalities. The review draws on a wide range of sources including peer-reviewed studies on the subject, road safety monitoring-reports and available data summaries (104 sources). Data reliability was confirmed by including studies based on or linked to primary sources like police records, and excluding those with poor quality, implausible results, or lacked references to primary sources. The included sources contained 37 estimates from high-income countries (HICs), and 67 estimates from LMICs. Globally, HIC and LMIC estimates of contribution were calculated by assigning weights based on the proportion of fatalities in each country under this study. The results indicated that speeding contributes to approximately 54 % of fatalities worldwide, 57 % in LMICs, and 28 % in HICs. This translates to a speeding-related death every 49 s, with a 95 % likelihood of occurring in LMICs. These findings carry significant implications for policymakers emphasizing the urgent need to prioritize interventions that reduce speeding and improve road safety. Investigating gaps in LMICs data sources is a critical priority. In-depth studies and speeding intervention evaluations will enhance our current understanding of speeding contribution to crashes and fatalities.

Thermophysical properties of binary mixtures of pentyl acetate with butanol at 298.15 K to 318.15 K: PFP theory, FTB model, and Graph theoretical approach

The measured density (ρ) and refractive index (nD) of binary pentyl acetate (1) + isomers of butanol (2) mixtures were reported at T = 298.15 K to 318.15 K and at 0.1 MPa pressure. Using the experimental ρ, u and nD data, excess molar volume (VmE), excess ultrasonic speed (uE), excess isentropic compressibility (κSE), and excess refractive index (nDE) were calculated and correlated with the Redlich–Kister (RK) equation. The findings suggest that the behavior of a mixture is affected by intermolecular interactions (cohesive forces such as dipole–dipole, H–bonding, dispersive force) and structural aspects of the molecules. The Prigogine–Flory–Patterson (PFP) theory, Flory–Treszczanowicz–Benson (FTB) model, and Graph theoretical approach (GTA) accurately analyzed the VmE values. Both the FTB model and PFP theory predicted the VmE curves not only successfully but also accurately represented their shape and magnitude except GTA at a lower mole fraction of pentyl acetate (xA<0.2). The positive values of VmE values were observed for binary mixtures across all temperatures. The intermolecular interactions were also corroborated by uE, κSE and nDE.

Bus rapid transit as arterial corridor traffic calming: The relationship between transit infrastructure and motor vehicle operating speeds

Objectives This article presents an analysis of the traffic-calming effects of bus rapid transit (BRT) by studying changes to motor vehicle speeds before and after implementation of Albuquerque Rapid Transit (ART) infrastructure in Albuquerque, New Mexico. Methods While ART construction was completed in spring 2018, the BRT buses did not operate until December 2019; providing a unique opportunity to explore the influence of BRT infrastructure sans BRT buses (i.e., to tease apart the effects of BRT infrastructure and operations). We used validated data from StreetLight InSight to compare before/after changes to average motor vehicle speeds and 85th percentile motor vehicle speeds at 46 ART sites and 36 control sites. Results Findings suggest that infrastructure associated with BRT systems can improve traffic safety by reducing vehicle speeds. Speed decreases at the ART sites were especially strong in terms of 85th percentile decreases, suggesting that the BRT infrastructure is especially effective at limiting excessive speeding. Motor vehicle 85th-percentile speeds along the ART corridor were reduced by 11.5% (compared to a 5.8% decrease at control sites). The 85th-percentile speeds at the ART sites decreased from 32.3 mph to 28.6 mph, which is an especially important range for vulnerable road-user safety outcomes. While ART intersections saw the largest decreases in absolute speeds (a reduction of 4.1 mph in 85th-percentile speeds), ART mid-block sites had larger decreases relative to the control mid-block sites (decreases in 85th-percentile speeds were 73.7% greater at ART mid-block sites than at control mid-block sites). BRT-related lane reductions were linked with particularly strong speed reductions; there were 85th-percentile speed reductions of 4.1 mph (12.6%) when general vehicle lanes were removed versus 2.2 mph (7.8%) when lanes were not removed. Conclusions Speed reductions were experienced across the ART corridor even though 87.0% of BRT locations did not have a change in posted speed limit, suggesting that physical changes to the roadway associated with BRT were impactful in terms of speed reductions and in turn could possibly promote traffic injury prevention by decreasing the number and severity of crashes.

A bioinspired triboelectric wireless anemometer with low cut-in wind speed for meteorological UAVs

Currently, unmanned aerial vehicles (UAVs) play a pivotal role in meteorological wind speed measurements. Nevertheless, existing anemometers exhibit notable issues, including excessive weight, high cost and high cut-in wind speed. This investigation introduces a biomimetic owl wing airfoil wind speed sensor utilizing the principles of the triboelectric nanogenerator (BOW-TENG) designed for UAV applications. Inspired by owl wings, an airfoil configuration with superior aerodynamic characteristics is ascertained, subsequently fabricating it into an impeller, and a wind speed sensor with low weight, low cost and low cut-in wind speed is developed. Experimental results affirm the BOW-TENG’s precision in depicting wind speed across the range of 1.6–10.7 m/s, featuring a sensitivity of 21.893 Hz/(m·s−1), a goodness of fit R2 of 0.9995, and a remarkable resolution of 0.057 m/s. The sensor weighs only 30 g. Furthermore, a cost-effective triboelectric signal processing system is devised for integrating the BOW-TENG into the UAV, as well as the optimal positioning for BOW-TENG on the UAV is identified through simulations. The relative wind direction can be calculated from signals of the BOW-TENGs on the four arms of the UAV. Ultimately, application experiments demonstrate the feasibility of employing BOW-TENG for wireless wind speed transmission from UAVs. This work incorporates bionics and proposes a practical application of triboelectric sensors for UAVs, as well as a solution for developing wind speed sensors in the field of meteorological UAV detection.

Analysis of the Relationship between Speed Consistency and Traffic Accident Probability (on the Mojokerto-Surabaya Toll Road)

Vehicle speed consistency plays a crucial role in maintaining traffic safety, with speed limits set to reduce accident fatalities. While the direct impact of speed limits on vehicle speed is minimal, their implementation significantly influences driver behavior, with about 85% of drivers complying with speed limits. However, variables such as traffic volume, weather conditions, and travel urgency often cause drivers to be inconsistent in adhering to these limits, increasing accident risk. On the Mojokerto-Surabaya toll road, data from IRSMS Korlantas Polri and Jasa Marga recorded 193 accidents with 101 fatalities from 2018 to August 2023, mostly caused by driver behavior such as excessive speed. This study analyzes the relationship between speed consistency and accident probability on this road, highlighting accident issues due to speed violations and inconsistency at ramp off/on locations. Results show the importance of toll road infrastructure considering vehicle volume, identifying accident blackspots, and implementing urgent speed management as key factors in improving safety on the Surabaya-Mojokerto toll road. The findings emphasize the need for better traffic management and speed regulation to reduce fatal accident risks.