Investigation of Bonding Materials for Traffic Monitoring Equipment: Properties of Selected Formulated Materials

Author(s):  
Agata J. Wiackowska-La Rue ◽  
David W. Fowler ◽  
Eric J. Ueber

Planning for new construction and rehabilitation requires accurate knowledge of traffic volume, vehicle classification, and axle loads. Monitoring and controlling the movements of cars and other vehicles will grow increasingly important in the foreseeable future. To estimate the number of vehicles, truck weights, and speed, piezoelectric axle detectors placed into pavements are used. In Texas several thousand devices at over 1,000 sites are maintained and regularly monitored online. It is essential that the installation of monitoring devices be fast, easy, usable in all types of pavements, and reliable without requiring maintenance or reinstallation for a reasonable length of time. Bonding materials are needed to install the monitoring devices in the pavement. A study was conducted to select materials that would perform satisfactorily. Several chemically different materials were tested. Descriptions of the laboratory testing program, field installations, test results, and conclusions are presented.

Author(s):  
Ika Candradewi ◽  
Agus Harjoko ◽  
Bakhtiar Alldino Ardi Sumbodo

In the automation of vehicle traffic monitoring system, information about the type of vehicle, it is essential because used in the process of further analysis as management of traffic control lights. Currently, calculation of the number of vehicles is still done manually. Computer vision applied to traffic monitoring systems could present data more complete and update.In this study consists of three main stages, namely Classification, Feature Extraction, and Detection. At stage vehicle classification used multi-class SVM method to evaluate characteristics of the object into eight classes (LV-TK, LV-Mobil, LV-Mikrobis, MHV-TS, MHV-BS, HV-LB, HV- LT, MC). Features are obtained from the detection object, processed on the feature extraction stage to get features of geometry, HOG, and LBP in the detection stage of the vehicle used MOG method combined with HOG-SVM to get an object in the form of a moving vehicle and does not move. SVM had the advantage of detail and based statistical computing. Geometry, HOG, and LBP characterize complex and represents an object in the form of the gradient and local histogram.The test results demonstrate the accuracy of the calculation of the number of vehicles at the stage of vehicle detection is 92%, with the parameters HOG cellSize 4x4, 2x2 block size, the son of vehicle classification 9. The test results give the overall mean recognition rate 91,31 %, mean precision rate 77,32 %, and mean recall rate 75,66 %. 


Author(s):  
Ardeshir Faghri ◽  
Martin Glaubitz ◽  
Janaki Parameswaran

The establishment of a comprehensive statewide traffic counting program is discussed. The program comprises automatic traffic recorder (ATR), automatic vehicle classification (AVC), and weigh-in-motion (WIM) sites for the state of Delaware. The program was undertaken to review, establish, and implement effective statistical and procedural methods. The second phase of a two phase project, which implements the methodologies that were derived in the first phase, is presented. Using descriptive analysis and seasonal grouping, the number and location of sites needed for each of the three types of traffic monitoring devices were determined. Existing field data from Delaware's current ATR locations allowed for a statistical determination of the necessary number and road-type group distribution for the ATR sites. The absence of field data for AVC and WIM sites, however, necessitated alternative methods for determining the number and location of the traffic monitoring devices. As a result, a combination of statistical analysis and engineering judgment must be used for the establishment of any statewide traffic monitoring system.


2021 ◽  
Vol 6 (1) ◽  
Author(s):  
Reza Wahyudi ◽  
Muhammad Ivanto ◽  
Murti Juliandari

Dependence on the provision of electricity using fossil fuels is a major energy supply problem in Indonesia. Therefore, it is necessary to provide new and renewable alternative fuels that are effective, efficient, and environmentally friendly. One of the alternative fuels is bagasse biomass. The purpose of this study was to determine the amount of bagasse produced by sellers of sugarcane juice drink in Pontianak City, in order to determine the estimated value of bagasse. The research method used was direct data collection and laboratory testing . Based on the results of the study, the number of vendors of sugarcane juice beverages producing bagasse was 169. Of this amount, produce bagasse that can reach 1,030.9 kg/day. Based on the test results, the estimated moisture content of bagasse was 3.28%, ash content was 0.77%, and carbon remained at 7.65%. So, if converted with the test results of the calorific value of bagasse and made into briquettes bagasse (bio briquettes), which is 19,648 kJ/kg with a density of 0.416 kg/m3, then converted into a potential calorific value of 242,849,280 J/year.


Sensors ◽  
2018 ◽  
Vol 18 (11) ◽  
pp. 4017
Author(s):  
Guodi Zheng ◽  
Yuewei Wang ◽  
Xiankai Wang ◽  
Junxing Yang ◽  
Tongbin Chen

Oxygen is an important parameter for organic-waste composting, and continuous control of the oxygen in a composting pile may be beneficial. The oxygen consumption rate can be used to measure the degree of biological oxidation and decomposition of organic matter. However, without having a real-time online device to monitor oxygen levels in the composting pile, the adjustment and optimization of the composting process cannot be directly implemented. In the present study, we researched and developed such a system, and then tested its stability, reliability, and characteristics. The test results showed that the equipment was accurate and stable, and produced good responses with good repeatability. The equilibrium time required to detect oxygen concentration in the composting pile was 50 s, and the response time for oxygen detection was less than 2 s. The equipment could monitor oxygen concentration online and in real time to optimize the aeration strategy for the compost depending on the concentration indicated by the oxygen-measuring equipment.


2021 ◽  
Vol 12 (2) ◽  
pp. 232-237
Author(s):  
Jignesh Sharma ◽  
Richard D. Nair

Laboratory testing on the confirmation of COVID-19 results is an essential component and without the expertise of trained laboratory technicians this is not possible. The aim of this study was to review the impacts of COVID-19 on medical laboratory staff. The literature search was done using Medline, Embase, Scopus, and Proquest databases, and relevant keywords were applied to find studies which have been conducted in the field of Medical Laboratory Science specifically looking at the impacts on staff caused by the Covid-19 pandemic. All the studies pertaining to the topic published in 2020 and 2021 in English language were reviewed and the main themes were identified. The results showed that impacts of COVID-19 were felt by the staff, as they were pushed to their limits causing stress and burnout. Apart from this laboratory staff were faced with issues such as; shortage in terms of human resources, consumables, testing kits and reagents. This was an added factor to delays in testing and disruption to the testing Turnaround time (TATs) and also contributed to the stress and burnout of staff. Laboratory professionals and other health care staffs were pushed to the limits to ensure patient care was not affected and each patient was attended too without delay. Laboratory personnel’s were pushed to their limits to ensure that test results were given on time.


Sign in / Sign up

Export Citation Format

Share Document