scholarly journals Using In-Vehicle Monitoring Data to Assess Road Conditions of Traffic Flows

2022 ◽  
Vol 19 (4) ◽  
pp. 34-39
Author(s):  
I. O. Chernyaev ◽  
S. A. Evtyukov
Keyword(s):  
Adaptive Systems ◽  
The Body ◽  
Road Surface ◽  
Vehicle Body ◽  
Average Level ◽  
Time Interval ◽  
Vertical Acceleration ◽  
Traffic Flows ◽  
The Road ◽  
Vertical Accelerations

 Developments in adaptive systems for maintenance and repair of automotive vehicles set the task of monitoring the conditions of their operation. One of the main factors determining these conditions is the type of road surface.The article describes the results of identification of the type (and condition) of the road surface obtained by theoretical and experimental methods based on the analysis of vertical accelerations recorded on the vehicle body.The purpose of research was to provide a possibility of continuous monitoring of the type of road surface on which a vehicle is driving, with the subsequent application of the obtained data to correct maintenance intervals. The results of experiments have shown the dependence of the vertical acceleration of the body on the micro-profile of the road surface. The described experimentally obtained profiles of vertical accelerations refer to different types of road surface in different conditions. For quantitative assessment, it is proposed to calculate the average level of accelerations as an integral average over a certain time interval.The results of the experiments have allowed to substantiate the empirical dependence of the average level of accelerations on speed of a vehicle. Based on this dependence, a method is proposed for recalculating the current values of the average levels of accelerations obtained at different speeds into values adjusted to the base speed to ensure the possibility of their comparison.It is shown that based on the values of average acceleration levels obtained through operation monitoring regarding a previously known type of road surface, it is possible to determine its condition. A short algorithm is formulated for practical implementation and assessment of road conditions of traffic flows. As for hardware, it is proposed not to equip a vehicle with additional sensors but to use operational standard accelerometers as part of in-vehicle emergency call systems, e.g., ERA-GLONASS equipment units. 

Improvement of Ride Comfort with Active Suspension System Using Preview Control Law

1995 ◽  
Vol 7 (4) ◽  
pp. 307-311
Author(s):  
Hideo Tobata ◽  
◽  
Takeshi Kimura ◽  
Yohsuke Akatsu
Keyword(s):  
Ride Comfort ◽  
Vertical Motion ◽  
Active Suspension ◽  
Road Surface ◽  
Vehicle Body ◽  
Vertical Acceleration ◽  
Control Force ◽  
Preview Control ◽  
Rear Suspension ◽  
The Road

It is known that the ride comfort of a vehicle equipped with active suspension can be further improved if a priori information about the road surface, i.e., preview control, is used. This paper discusses the application of preview control to the rear wheels of a vehicle with active suspension. Information about the front wheels' vertical motion is used to estimate the vertical travel of the rear wheels. Vibration transmitted from the road surface to the vehicle body through the rear suspension can be estimated from the vertical motion of the wheels. Thus, the control force that should be generated by the rear suspension actuators can be obtained. Simulation results reveal that preview control provides an accurate estimate of road force inputs, enabling the vertical acceleration of the vehicle body to be reduced for further improvement in ride comfort. The results of vehicle driving tests also confirm that the preview-control force serves to reduce the vertical acceleration of the vehicle body. Cooperation between preview control and a skyhook damper is also discussed and shown to be effective in reducing vehicle body vibration.

scholarly journals THE IMPACT OF ROAD ROUGHNESS ON THE DURATION OF CONTACT BETWEEN A VEHICLE WHEEL AND ROAD SURFACE

Transport ◽  
2014 ◽  
Vol 29 (4) ◽  
pp. 431-439 ◽  
Author(s):  
Vidas Žuraulis ◽  
Loreta Levulytė ◽  
Edgar Sokolovskij
Keyword(s):  
Vertical Movement ◽  
The Body ◽  
Road Surface ◽  
Body Motion ◽  
Vehicle Body ◽  
Experimental Investigations ◽  
The Road ◽  
Road Section ◽  
Vertical Displacements ◽  
The Impact

The paper analyses the impact of the road micro-profile on the duration and the type of the vehicle wheel contact with the road surface driving at different speed. The selected vehicle bicycle model describes vertical displacements of front and rear wheels and their suspension as well as the impact of the vehicle body motion and longitudinal oscillation. International Roughness Index (IRI) and micro-profile irregularities of the road section analysed in the paper were identified using specialized road testing equipment. The experimental investigations measuring the vehicle suspension displacement and the body acceleration were carried out. Frequency characteristics of suspension motion and regularities of vertical movement of the wheel were identified after dividing the investigated road section according to driving modes. The analysis into the wheel contact with the road surface and identified correlations enable to determine the vehicle stability on selected quality roads.

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.

1⁄4 Car Model for Suspension Trim Corrector Performances Evaluation

2016 ◽  
Vol 823 ◽  
pp. 205-210
Author(s):  
Adrian Ioan Niculescu
Keyword(s):  
Contact Force ◽  
Harmonic Functions ◽  
Degrees Of Freedom ◽  
The Body ◽  
Vertical Acceleration ◽  
Vertical Movements ◽  
The Road ◽  
Quarter Car Model ◽  
Car Model ◽  
Quarter Car

The paper presents a complex quarter car model obtained with ADAMS software, View module, useful in the first stage of suspension dimensioning and optimization.The model is equipped with compression and rebound stopper buffer and suspension trim corrector.The proposed quarter car model with two degrees of freedom (wheel and body) performs all these goals allowing changing:Geometrical elementsPosition of equilibrium, depending on vehicle load;Trim correction;Elastic and dissipative characteristics of the suspension and tire;Suspension stroke;Road profile, assessed either by simple or summation of harmonic functions or reproducing real roadsBuffers (for stroke limitation) position and characteristics;The models developed provide information on:Vertical stability assessed by vertical movements of the body and the longitudinal and transversal stability evaluated based on adherence characterized by wheel ground contact force and frequency of soil detachment wheel.Comfort assessed on the basis of body vertical acceleration and collision forces to the stroke ends.The body-road clearanceThe trim corrector efficiencyAll above performances evaluated function the road unevenness, acceleration, deceleration, turning regime.The damping characteristic is defined by damping forces at different speed for each strokes respectively one for rebound and other for compression.The contact force road-wheel is defined based tire rigidity law.The stopper buffer forces on rebound and compression are defined based each specific rigidity characteristics.The road excitation is realized with a function generator.The software allow the model evolution visualisation in real time, also generating the diagrams of displacements, forces, accelerations, speeds, for each elements or for relative evolution between diverse elements.The simulation was realized for unloaded and fully loaded car using a road generated by a sum of harmonic functions presented in equation (8).The excitation covers the specific frequencies area, being under the body frequencies up to the wheel proper frequencies.The realized ¼ car model, have reached the goal to evaluate the suspension trim correction advantages.The simulations confirm the trim corrector increases the suspension performances, thus for the analyzed case the trim corrector increase simultaneous:Body-ground clearance (evaluated by body higher increasing) between 18.5÷55.1 %Body stability (evaluated by maximal body displacement) between 9.8÷11.4 %Body comfort (evaluated by maximal body acceleration) between 3.4÷35.5 %Adherence (evaluated by maximal and RMS wheel-groundcontact force variation) between 7.0÷12.1 %Body and axles protection (evaluated by buffer strike force) between 10.8÷38.2 %

Vehicle Body and Wheel Motion Simulation Platform Based on LabVIEW

2012 ◽  
Vol 241-244 ◽  
pp. 2113-2119
Author(s):  
Hai Feng Li ◽  
Yu Zhi Luo ◽  
Xiao Long Zhang ◽  
Deng Pan
Keyword(s):  
Time Domain ◽  
Frequency Characteristic ◽  
The Body ◽  
Road Surface ◽  
Vehicle Body ◽  
Surface Model ◽  
Simulation Platform ◽  
Vibration System ◽  
Amplitude Frequency Characteristic ◽  
Sinusoidal Input

The work in the paper constructed a platform for vehicle’s controllability and stability study conveniently and efficiently. Based on the dynamic model of the two-mass vibration system of vehicle body and wheel, the paper builds a vibration platform using the graphical programming software LabVIEW. It establishes a sinusoidal input road surface model, simulates the sinusoidal road surface under different amplitude and frequencies, and makes it the excitation source of the vibration system. It also obtains the curves of the amplitude-frequency characteristic of vehicle body and wheel displacement on the pavement displacement, and the time-domain response and amplitude-frequency characteristic curve of the body acceleration, suspension spring dynamic deflection and wheel relative dynamic load. This simulation platform provides an intuitive and effective method for vehicle ride comfort both in time domain and frequency domain.

scholarly journals Research on Road Roughness Based on NARX Neural Network

2021 ◽  
Vol 2021 ◽  
pp. 1-16
Author(s):  
Yingjie Liu ◽  
Dawei Cui
Keyword(s):  
Neural Network ◽  
The Body ◽  
Identification Accuracy ◽  
Vertical Acceleration ◽  
Plane Model ◽  
The Road ◽  
The Neural Network ◽  
Road Roughness ◽  
Network Identification ◽  
Narx Neural Network

In order to solve the problem of road roughness identification, a study on the nonlinear autoregressive with exogenous inputs (NARX) neural network identification method was carried out in the paper. Firstly, a 7-DOF plane model of vehicle vibration system was established to obtain the vertical acceleration and elevation acceleration of the body, which were set as ideal input samples for the neural network. Then, based on the plane model, with common speed, the road roughness was solved as the ideal output sample of the NARX neural network, and the road roughness of B-level and C-level was identified. The results show that the proposed method has ideal identification accuracy and strong antinoise ability. The relative error of C-level road roughness is larger than that of B-level road roughness. The identified road roughness can provide a theoretical basis for analyzing the dynamic response of expressway roads.

Analysis and Measurement of the Relative Movements between the Road Wheels of a Vehicle and the Road Surface

1972 ◽  
Vol 186 (1) ◽  
pp. 793-806
Author(s):  
D. M. Butler ◽  
J. R. Ellis
Keyword(s):  
Experimental Evidence ◽  
The Body ◽  
Road Surface ◽  
The Road ◽  
Suspension Performance ◽  
Ride And Handling

A method of analysis of suspension performance has been developed and is supported by experimental evidence. The particular advantage of this analysis is that all the suspension characteristics of real suspensions are calculated for all possible positions of the suspensions in a manner which relates the wheel movements directly to the body motions. The roll centre concept is discarded, with the result that the wheel movements, and hence tyre forces, which were masked by the limitations of the roll centre assumptions, are now available for examination and inclusion in any vehicle study. This has resulted in the development of more realistic models of vehicle ride and handling including anti-dive attitudes and other phenomena.

Cargo Ride Safety Analysis of Trucks for Four Excitation Cases

2010 ◽  
Vol 118-120 ◽  
pp. 660-664
Author(s):  
Li Qun Guo ◽  
Deng Feng Wang
Keyword(s):  
Element Model ◽  
The Body ◽  
Three Dimension ◽  
Commercial Vehicles ◽  
3D Finite Element ◽  
The Road ◽  
Full Vehicle ◽  
Power Spectral ◽  
Computation Algorithm ◽  
Vertical Accelerations

Excessive levels of vibration in commercial vehicles, due to excitation from the road irregularities, can lead to cargo damage and safety problems. In order to study the cargo ride safety problem, a three dimension (3D) finite element model of full vehicle was established, which differs from the previous two dimension (2D) one. The computation algorithm for acceleration power spectral density (PSD) and root mean square (RMS) was also given. For the sake of comparisons, two frames with different stiffness were given in the computations of PSD and RMS of body vertical accelerations for four excitation cases. The computed results showed that when the stiffness of the frame increases, the RMS values of the body decreases strongly at the frequency band 14-26Hz, which can effectively improve the cargo ride safety.

scholarly journals Analisis terjadinya hentakan dan suara keras pada suspensi belakang unit dump truck HD 785-7

2020 ◽  
Vol 8 (2) ◽  
Author(s):  
Hendro Purwono ◽  
Rasma Rasma ◽  
Riki Effendi
Keyword(s):  
High Speed ◽  
Vertical Vibration ◽  
The Body ◽  
Road Surface ◽  
Unit Weight ◽  
Dump Truck ◽  
Nitrogen Gas ◽  
The Road ◽  
Library Research ◽  
Using Data

The suspension system on the machine unit is very important to support the unit weight against the road surface and also protect the transmission from the vertical vibration of the wheels to the body of the unit. When the unit passes a damaged or bumpy road at high speed, shock loads from the road surface will be felt, so the role of the suspension is crucial in protecting components from damage, maintaining operator comfort and undamaged loads. HD 785-7 unit is one type of dump truck that uses cylindrical pneumatic hydro suspension that contains nitrogen and oil gases to absorb loads or vibrations from the road surface. In its operation which functions as a material carrier in the mine area, there are often problems with the suspension especially at the rear because it is holding a heavier load. Therefore, research needs to be carried out aimed at finding the main causes and solutions to these problems using data collection methods, namely: field surveys, interviews, and library research. The results show that damage to the valve core causes the valve to leak and cause the chamber at the top of the cylinder suspension to be occupied by nitrogen gas to be reduced so that the suspension suffers harsh strokes when operated especially on damaged roads. Damage to the valve core is caused by the use of non-standard and too tight tools in its installation. Keywords: hard suspension, valve core, feed valve, nitrogen gas, oil.

Non-Contact Vehicle Overload Identification Method Based on Body Vibration Theory

2019 ◽  
Author(s):  
Yiran Ding ◽  
Daolin Zhou ◽  
Shimin Yu ◽  
Zhenyu Wang ◽  
Gangfeng Tan
Keyword(s):  
Vibrational Excitation ◽  
Vibration Response ◽  
Intelligent Vehicles ◽  
The Body ◽  
Vehicle Body ◽  
Response Model ◽  
Characteristic Parameters ◽  
Body Vibration ◽  
The Road ◽  
Traffic Efficiency

Abstract Vehicle overload seriously affects the traffic safety, damages the road infrastructure, and the road service life is reduced. There are many shortcomings in the current detection methods for overloaded vehicles. Traditional static weighing stations are relatively fixed and affect the road traffic efficiency; the cost of weighing in motion station is high, while the precision is not enough; on-board weighing electronic products require the modification of vehicles, which is difficult to promote. In this paper, a non-contact overload detection method based on body vibration is proposed. After the analyzation of the body vibration response of dynamic vehicles under specific vibrational excitation, the load value data can be obtained combined with standard parameters and mathematical calculation model. Firstly, the body vibration response model under specific excitation is established. Then, roadbed facilities are arranged according to specific requirements, cameras calibration are finished, and the identification environment is built. Machine vision technology is used to identify the vibration track of the characteristic point on the vehicle body in the vertical direction. The vibration response characteristic parameters are extracted using the established response model. Finally, the vehicle load value data can be obtained by resolve the characteristic parameters. Compared with the rated load data in the database, the overload judgment of the vehicle is obtained. In the experiment part, the road speed-control hump was used as the vibration excitation source. The vehicle experiments were carried out with Dongfeng Aeolus S30 and Yuejin Shangjun X500. The results show that the load identification error can be controlled within 20%–30%. This method above can detect overload vehicles without affecting the traffic efficiency and also has certain guiding significance for the development of intelligent vehicles.

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