An analysis of a measure system of weight-in-motion load vehicles

There are bodies responsible for monitoring and controlling heavy loads of vehicles on the road system, some local reports indicate that overweight situations in those vehicles can cause damage to the roads. The purpose of this paper is to present a descriptive study of a system of weigh-in-motion for trucks in order to design a measurement protocol that conforms to the requirements of the International Recommendation OIML R-134. In order to achieve the objective some eccentricity and accuracy for static loads tests were performed using ten vehicles charging. The calculated error in these tests is within the tolerance range between -20 and +20 Kg, which determined that the protocol was adjusted to the requirements. With respect to weigh-in-motion, Repeatability (r) and Reproducibility (R) tests at three different speeds were performed. The variability was measured by applying the statistical method ANOVA, where the percentage of the ratio Repeatability (r) and reproducibility (R) was below 10%, which means that the measurement system used is acceptable.Keywords: weighting, repeatability, reproducibility, variability.

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Setting up the braking force measurement system of the tractor semi-trailer

Engineering Solid Mechanics ◽

10.5267/j.esm.2021.6.001 ◽

2021 ◽

Vol 9 (4) ◽

pp. 415-424 ◽

Cited By ~ 1

Author(s):

Nguyen Thanh Tung

Keyword(s):

Measurement System ◽

Force Measurement ◽

Average Error ◽

Dynamics Model ◽

The Road ◽

Study Results ◽

Braking Force ◽

On The Road ◽

Force Measurement System ◽

Braking Dynamics

The braking force of the tractor semi-trailer depends on many random factors and road parameters. Therefore, determining the braking force based on theoretical calculation or simulation is not accurate. This paper presents the method of setting up the braking force measurement system of the tractor semi-trailer on the road and constructing the braking dynamics model of the tractor semi-trailer to investigate the braking force using Matlab-Simulink software. The study results show that the average error between the simulation and experimental results of the tractor semi-trailer braking force is 9,81%.

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Wavelet-Based Optimum Identification of Vehicle Axles Using Bridge Measurements

Applied Sciences ◽

10.3390/app10217485 ◽

2020 ◽

Vol 10 (21) ◽

pp. 7485

Author(s):

Hua Zhao ◽

Chengjun Tan ◽

Eugene J. OBrien ◽

Nasim Uddin ◽

Bin Zhang

Keyword(s):

Field Trials ◽

Correlation Factor ◽

Vehicle Speed ◽

The Road ◽

Bridge Health Monitoring ◽

Axle Detection ◽

Weigh In Motion ◽

Bridge Weigh In Motion ◽

Health Monitoring Systems ◽

On The Road

Accurate vehicle configurations (vehicle speed, number of axles, and axle spacing) are commonly required in bridge health monitoring systems and are prerequisites in bridge weigh-in-motion (BWIM) systems. Using the ‘nothing on the road’ principle, this data is found using axle detecting sensors, usually strain gauges, placed at particular locations on the underside of the bridge. To improve axle detection in the measured signals, this paper proposes a wavelet transform and Shannon entropy with a correlation factor. The proposed approach is first verified by numerical simulation and is then tested in two field trials. The fidelity of the proposed approach is investigated including noise in the measurement, multiple presence, different vehicle velocities, different types of vehicle and in real traffic flow.

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Truck Travel Time Around Weigh Stations: Effects of Weigh in Motion and Automatic Vehicle Identification Systems

Transportation Research Record Journal of the Transportation Research Board ◽

10.3141/1716-16 ◽

2000 ◽

Vol 1716 (1) ◽

pp. 135-143 ◽

Cited By ~ 3

Author(s):

Rahim F. Benekohal ◽

Yoassry M. El-Zohairy ◽

Stanley Wang

Keyword(s):

High Speed ◽

Cost Effective ◽

Average Delay ◽

The Road ◽

Playing Field ◽

Electronic Screening ◽

Vehicle Identification ◽

Weigh In Motion ◽

Automatic Vehicle Identification ◽

On The Road

Weigh in motion (WIM) technology may provide an efficient and cost-effective complement to static weighing. An evaluation of the effectiveness of an automated bypass system around a weigh station in Illinois is presented. The system combines the use of automatic vehicle identification (AVI), high-speed weigh in motion (HSWIM), and low-speed weigh in motion (LSWIM) technologies to facilitate preclearance for trucks at the weigh station. The preinstallation conditions were compared with post-installation conditions of WIM/AVI so that the effects and benefits of the system could be evaluated. During preinstallation, average delay was 4.9 min/truck, and 7 percent of trucks had delays of more than 10 min. The station was intermittently closed to prevent the truck queue from backing up onto the Interstate highway, allowing 15 to 51 percent of trucks to bypass the station without being weighed. In postinstallation, the delay for trucks equipped with transponder and allowed to bypass on the freeway was reduced by 4.17 min. The delay for trucks equipped with transponders and allowed to bypass inside the weigh station was reduced by 2.02 min. The delay for trucks that reported to the weigh station decreased by 1.25 min. On the other hand, less than 1 percent of trucks that have been observed in after-study were able to bypass on the freeway. With greater numbers of trucks being checked, fewer trucks on the road may exceed the allowable weight limits. Consequently, electronic screening minimizes road deterioration and risks to public safety and levels the playing field for illegally operating carriers and carriers who operate in compliance with the law.

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Weigh-in-Motion System Testing

Key Engineering Materials ◽

10.4028/www.scientific.net/kem.518.428 ◽

2012 ◽

Vol 518 ◽

pp. 428-436 ◽

Cited By ~ 1

Author(s):

Krzysztof Sekuła ◽

Andrzej Świercz

Keyword(s):

Deformable Body ◽

Measurement Techniques ◽

Field Tests ◽

Load Identification ◽

The Road ◽

Motion System ◽

Weigh In Motion ◽

Vehicle Velocity ◽

On The Road ◽

Involved Field

The paper presents some results of research on the Weight-in-motion (WIM) system. The device is used for identification of loads on the road surface generated by traveling vehicles. The proposed approach utilizes the piezoelectric measurement techniques to monitor strain development in a deformable body and eventually these measurements are used for tire-pavement load identification. An advantage of the proposed concept is that no additional limitation for a vehicle velocity and direction is required in order to make the measurement feasible. The device allow to identify many parameters which can be stored for statistical and planning purposes. When an overload or an exceed in speed limit is detected the data can be sent for penalization purposes. The research includes a computer simulation of the bending plate detector using the Finite Element Method (FEM). Its objective is to validate the concept as well as to test some factors which are important with respect to the proposed load identification methodology. An experimental research involved field tests on the WIM system using a bending plate detector and inductive loops to detect a vehicle.

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Design and Development of Weigh-In-Motion Using Vehicular Telematics

Journal of Sensors ◽

10.1155/2020/7871215 ◽

2020 ◽

Vol 2020 ◽

pp. 1-22

Author(s):

Sivaramalingam Kirushanth ◽

Boniface Kabaso

Keyword(s):

Regression Model ◽

Performance Monitoring ◽

Nonlinear Regression Model ◽

Traffic Enforcement ◽

Highway Infrastructure ◽

The Road ◽

Weigh In Motion ◽

Transport Industry ◽

Nonintrusive Measurement ◽

On The Road

Identifying overloaded vehicles on a highway is essential for the safety of vehicles on the road as well as for the performance monitoring of highway infrastructure and planning. Traffic enforcement uses various weigh-in-motion (WIM) methods. Since Vehicular Telematics (VT) is favoured in the transport industry, using it for building a new WIM system to infer the payload of a vehicle at any road segment would be beneficial for the transport industry. This paper presents the effort taken to use VT data from onboard diagnostics modules and smartphones to infer the payload of a vehicle. The experiment done to find the correlation between VT data and the payload of a vehicle is discussed. Feature engineering was done; nine different settings were tested to find the best regression model. A multiple nonlinear regression model produced significant a p value of 6.322e-08 and an R-squared value of 0.8736. Results support the notion of using the VT data for nonintrusive measurement of the weight of a vehicle in motion.

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Lead Levels in Truck Driver's Hair

Jaringan Laboratorium Medis ◽

10.31983/jlm.v3i1.7919 ◽

2021 ◽

Vol 3 (1) ◽

pp. 30-37

Author(s):

Zahran Arya Zidan ◽

Teguh Budiharjo

Keyword(s):

Human Body ◽

Truck Drivers ◽

Protective Equipment ◽

Slow Movement ◽

The Road ◽

Hair Samples ◽

Air Cooler ◽

Lead Levels ◽

On The Road ◽

Heavy Loads

Heavy metal lead can cause poisoning or accumulate in human body. Truck drivers spend more a lot of time on the road due to the slow movement of trucks due to carrying heavy loads causing exposure to lead on the highway. Lead enters through the breath and is excreted in the hair. Truck drivers spend more a lot of time on the road, especially trucks that have more than 4 wheels because the load they carry is heavy so it takes time to travel and can be exposed lead on the road. It also allows researchers to easily collect hair samples. longer the work, they get higher lead levels in the human body. After conducting a survey, many truck drivers opened their windows. This happens, maybe some of the Air Cooler (AC) trucks are not working because maybe some of the trucks are too old. This allows truck drivers to be exposed to lead from the air. In addition, PPE (Personal Protective Equipment) is also important such as masks to reduce exposure to lead from the respiratory tract.

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Vehicle axle identification using wavelet analysis of bridge global responses

Journal of Vibration and Control ◽

10.1177/1077546315623147 ◽

2015 ◽

Vol 23 (17) ◽

pp. 2830-2840 ◽

Cited By ~ 15

Author(s):

Yang Yu ◽

CS Cai ◽

Lu Deng

Keyword(s):

Wavelet Analysis ◽

Surface Condition ◽

Three Dimensional ◽

Road Surface ◽

Identification Accuracy ◽

The Road ◽

Identification Method ◽

Weigh In Motion ◽

On The Road ◽

Bridge Models

Bridge weigh-in-motion (BWIM) technique uses an instrumented bridge as a weighing scale to estimate vehicle weights. Traditional BWIM systems use axle detectors placed on the road surface to identify vehicle axles. However, the axle detectors have poor durability due to the direct exposure to the traffic. To resolve this issue, a free-of-axle-detector (FAD) algorithm, which eliminates the use of axle detectors, was proposed. As a further improvement to simplify the BWIM systems, the concept of nothing-on-road (NOR) BWIM was recently introduced. The axle identification method proposed in this paper is an attempt to achieve the NOR BWIM, i.e., using bridge global responses to identify vehicle axles. Wavelet analysis is applied to extract the axle information from the global responses. This allows the BWIM technique to be achieved with only weighing sensors. Numerical simulations are conducted using three-dimensional vehicle and bridge models and the effect of several parameters, including sampling frequency, road surface condition and measurement noise on the identification accuracy is investigated. The results demonstrate that the proposed identification method using wavelet analysis can accurately identify vehicle axles, except for cases where the road surface condition is rough or measurement noises exceed certain levels.

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Self-initiated Modified Output on the Road to Comprehensibility

JALT Journal - JALT Journal 24.1 ◽

10.37546/jaltjj30.2-4 ◽

2008 ◽

Vol 30 (2) ◽

pp. 223 ◽

Cited By ~ 1

Author(s):

Rintaro Sato

Keyword(s):

High School ◽

High School Students ◽

Communicative Competence ◽

Descriptive Study ◽

School Students ◽

The Road ◽

English Class ◽

Communicative Activities ◽

On The Road ◽

Japanese English

As the importance of developing students’ communicative competence has been emphasized, activities in which students can have opportunities for speaking and communication have been widely employed in the Japanese English class. For learning or language acquisition to occur during communicative activities, students have to self-initiate their utterances (Shehadeh, 2001). This study, with Japanese high school students, examines whether self-initiation would occur effectively in three communicative activities involving only students. The results of this descriptive study revealed that successful self-initiated modified output did not occur frequently. Possible reasons for the findings, pedagogical implications and suggestions are proposed. 本研究では、高校生英語学習者がコミュニケーション活動において、自分の発話の中にtrouble source を見いだし、自分で修正使用しようとするself-initiated　modified output をいかに効果的に行ったかが検証され、それらは期待されたほどの頻度では発生しなかったことが確認された。本論ではその原因、また、生徒のself-initiated modified outputの特徴について考察された。

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