Prediction of Deceleration Amount of Vehicle Speed in Snowy Urban Roads Using Weather Information and Traffic Data

Investigation of Weigh-in-Motion Measurement Accuracy on the Basis of Steering Axle Load Spectra

Sensors ◽

10.3390/s19153272 ◽

2019 ◽

Vol 19 (15) ◽

pp. 3272 ◽

Cited By ~ 6

Author(s):

Dawid Rys

Keyword(s):

Data Quality ◽

Vehicle Speed ◽

Traffic Data ◽

Obvious Effect ◽

Road Infrastructure ◽

Load Spectra ◽

Weigh In Motion ◽

Infrastructure Design ◽

Load Sensor ◽

Measurement Results

Weigh-in-motion systems are installed in pavements or on bridges to identify and reduce the number of overloaded vehicles and minimise their adverse effect on road infrastructure. Moreover, the collected traffic data are used to obtain axle load characteristics, which are very useful in road infrastructure design. Practical application of data from weigh-in-motion has become more common recently, which calls for adequate attention to data quality. This issue is addressed in the presented paper. The aim of the article is to investigate the accuracy of 77 operative weigh-in-motion stations by analysing steering axle load spectra. The proposed methodology and analysis enabled the identification of scale and source of errors that occur in measurements delivered from weigh-in-motion systems. For this purpose, selected factors were investigated, including the type of axle load sensor, air temperature and vehicle speed. The results of the analysis indicated the obvious effect of the axle load sensor type on the measurement results. It was noted that systematic error increases during winter, causing underestimation of axle loads by 5% to 10% for quartz piezoelectric and bending beam load sensors, respectively. A deterioration of system accuracy is also visible when vehicle speed decreases to 30 km/h. For 25% to 35% of cases, depending on the type of sensor, random error increases for lower speeds, while it remains at a constant level at higher speeds. The analysis also delivered a standard steering axle load distribution, which can have practical meaning in the improvement of weigh-in-motion accuracy and traffic data quality.

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Conditions Leading to Elevated PM2.5 at Near-Road Monitoring Sites: Case Studies in Denver and Indianapolis

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph16091634 ◽

2019 ◽

Vol 16 (9) ◽

pp. 1634 ◽

Cited By ~ 5

Author(s):

Steven G. Brown ◽

Bryan Penfold ◽

Anondo Mukherjee ◽

Karin Landsberg ◽

Douglas S. Eisinger

Keyword(s):

Case Studies ◽

Quality Standards ◽

Ambient Air ◽

Clear Correlation ◽

Site Conditions ◽

Vehicle Speed ◽

Traffic Data ◽

Ambient Air Quality ◽

Traffic Conditions ◽

Ambient Air Quality Standards

We examined two near-road monitoring sites where the daily PM2.5 readings were among the highest of any near-road monitoring location in the U.S. during 2014–2016: Denver, Colorado, in February 2014 and Indianapolis, Indiana, in November 2016. At the Denver site, which had the highest measured U.S. near-road 24-hr PM2.5 concentrations in 2014, concentrations exceeded the daily National Ambient Air Quality Standards (NAAQS) on three days during one week in 2014; the Indianapolis site had the second-highest number of daily exceedances of any near-road site in 2016 and the highest 3-year average PM2.5 of any near-road site during 2014–2016. Both sites had hourly pollutant, meteorological, and traffic data available, making them ideal for case studies. For both locations, we compared air pollution observations at the near-road site to observations at other sites in the urban area to calculate the near-road PM2.5 “increment” and evaluated the effects of changes in meteorology and traffic. The Denver near-road site consistently had the highest PM2.5 values in the Denver area, and was typically highest when winds were near-downwind, rather than directly downwind, to the freeway. Complex Denver site conditions (near-road buildings and roadway alignment) likely contributed to higher PM2.5 concentrations. The increment at Indianapolis was also highest under near-downwind, rather than directly downwind, conditions. At both sites, while the near-road site often had higher PM2.5 concentrations than nearby sites, there was no clear correlation between traffic conditions (vehicle speed, fleet mix) and the high PM2.5 concentrations.

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PASSENGER CAR SPEED ASSESSMENT RELATIONSHIP TO THE NOISE CAUSED

ASTONJADRO ◽

10.32832/astonjadro.v10i1.3494 ◽

2021 ◽

Vol 10 (1) ◽

pp. 41

Author(s):

Syaiful Syaiful ◽

Rendy Andana

Keyword(s):

Linear Regression ◽

Noise Level ◽

Traffic Noise ◽

Noise Pollution ◽

Vehicle Speed ◽

Toll Roads ◽

Traffic Data ◽

Heavy Vehicles ◽

Heavy Industry ◽

Audio Technology

<p>Noise is defined as a human unwanted sound. The main sources of noise on toll roads are heavy vehicles and light vehicles. Noise pollution is often interpreted as unwanted sound or wrong sound at the wrong time. as heavy industry grows, traffic crowds, transportation facilities, and excessive use of audio technology. In addition there is generally noise strongly related to annoyance. Noise is everywhere and disturbance is one of the most common reactions to noise.. Speed is the size of a vector that shows how fast objects move. This research aims to find out the level of traffic noise and its distribution in front of SDN Cimahpar 01. The research method uses multiple linear analysis with the SPSS program by entering traffic data, vehicle speed and noise generated. The results were obtained that in SDN Cimahpar 01 area with the highest linear regression value between speed and noise that arises is 98% with linear regression equation y=52,390+0.298x1+0.229x2+0.245x3+0.205x4. Based on the similarity, the noise level value generated by the speed of the vehicle is 52.39 dBA with the provision of no increase or decrease in vehicle speed, this noise level is very strong because above the raw value of the activity noise level set by the Decree of the Minister of Environment No. 48 of 1996 which is 80 dBA.</p>

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Preliminary evaluation of repeatability for a mobile road weather information sensor

AUTOBUSY – Technika Eksploatacja Systemy Transportowe ◽

10.24136/atest.2018.095 ◽

2018 ◽

Vol 19 (6) ◽

pp. 368-374

Author(s):

Krzysztof Brzozowski ◽

Andrzej Maczynski ◽

Artur Ryguła

Keyword(s):

Preliminary Evaluation ◽

Vehicle Speed ◽

Traffic Intensity ◽

Winter Maintenance ◽

Weather Information ◽

Lighting Conditions ◽

Current State

The article presents the results of road tests related to repeatability evaluation of the mobile road weather sensor readings. This kind of sensors is increasingly used by road administrators to assess current state of roads. They can be also used to identify road sections where local changes in friction occur most often. The carried out tests concern the repeatability of readings for different lighting conditions (day and night) and vehicle speed. The research was performed using the Lufft MARWIS sensor on roads with different traffic intensity and different standards of winter maintenance.

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VEHICLES' SAMPLE GENERATION AND REALIZATION IN CAR-FOLLOWING MATHEMATICAL MODELS / AUTOMOBILIŲ IMTIES GENERAVIMAS BEI REALIZAVIMAS SEKIMO PASKUI LYDERĮ MATEMATINIUOSE MODELIUOSE

Mokslas - Lietuvos ateitis ◽

10.3846/mla.2015.820 ◽

2016 ◽

Vol 7 (5) ◽

pp. 564-570

Author(s):

Algimantas Danilevičius ◽

Raimundas Junevičius

Keyword(s):

Mathematical Models ◽

Distribution Curve ◽

Vehicle Speed ◽

Traffic Data ◽

Safe Distance ◽

Flow Measurements ◽

Car Following ◽

Traffic Distribution ◽

Road Section ◽

The Mathematical Model

The object of the article is the adjustment of car-following mathematical models according to collected traffic data. Here the problem of ineffectively burdened road section is solved by adjusting the speed of vehicles in order to reduce the distance between the cars to a safe distance. The paper analyzes the car-following models to measure the interaction between vehicles in the same lane. Experimental data processed in Matlab and traffic distribution histograms are created using the most appropriate distribution curve. Distribution curve is used to compile congestion scenario of road section. Applicable model uses fundamental diagrams, which are created from the kind of traffic flow measurements. The mathematical model allows to choose the optimal vehicle speed while maintaining safe distance between vehicles, and to make recommendations to improve the traffic as the process. Straipsnio tyrimo objektas yra sukauptų automobilių srauto duomenų pritaikymas sekimo paskui lyderį matematiniuose modeliuose. Čia sprendžiama neefektyviai apkrautos kelio atkarpos problema. Siekiama sumažinti atstumą tarp automobilių iki saugaus atstumo, koreguojant automobilių greitį. Straipsnyje nagrinėjami sekimo paskui lyderį modeliai, pagal kuriuos įvertinama sąveika tarp toje pačioje eismo juostoje esančių transporto priemonių. Eksperimentiniai duomenys apdorojami taikant Matlab, sudaromos transporto srauto pasiskirstymo histogramos bei parenkama tinkamiausia skirstinio kreivė. Eksperimentinė skirstinio kreivė naudojama sudarant kelio atkarpos apkrovimo scenarijų – nustatoma modeliuojamos kelio atkarpos intensyvumo ir atstumų tarp transporto priemonių priklausomybė nuo laiko. Taikomame modelyje naudojamos fundamentalios diagramos, sudaromos pagal natūrinius eismo srauto matavimus. Matematinis modelis leidžia parinkti optimalų transporto priemonės greitį išlaikant saugų atstumą tarp transporto priemonių, taip pat juo remiantis galima teikti rekomendacijas, kaip gerinti automobilių eismą.

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Privacy: Users of Pharmaceutical Websites

The Journal of Law Medicine & Ethics ◽

10.1017/s1073110500008810 ◽

2002 ◽

Vol 30 (3) ◽

pp. 466-474

Keyword(s):

Personal Information ◽

District Court ◽

Traffic Data ◽

Web Traffic ◽

Electronic Communications ◽

Private Action

In In re Pharmatrak, Inc. Privacy Litigation, website users brought suit claiming that major pharmaceutical corporations and a web monitoring company violated three federal statutes protecting electronic communications and data by collecting web traffic data and personal information about website users. On August 13,2002, the District Court of Massachusetts dismissed these allegations, holding that the defendants were parties to the communications and thus exempted under the statutory language.The court also found that plaintiffs had not suffered an amount of damages required to sustain private action.

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