Estimating annual average daily traffic (AADT) data on low-volume roads with the cokriging technique and census/population data

نویسندگان

چکیده

Geostatistical methods such as simple, ordinary, and universal kriging are not multivariate models in the usual statistical function. Notwithstanding, techniques utilize random function that include unlimited variables while modeling one attribute. The cokriging technique is a estimation method can simultaneously model two or more attributes, defined with same domains coregionalization. For successful structural analysis, it necessary to have minimum amount of each domain's measured attributes. assumption data integration may yield reliable because their strength drawn from multiple variables. This study investigates impact population variable on traffic volumes. investigation adopts annual average daily (AADT) Montana, Minnesota, Washington attribute countywide second (or factor controlling volumes). AADT for this research span 2009 2016. cross-validation results types explored successfully used evaluate interpolation technique's performance select optimal state. based confirm model's usefulness. surface maps Montana Minnesota accurately represent states' density. had few exceptions; therefore, did necessarily An indication other factors results. Consequently, worth exploring tourism, shopping, recreation centers, possible transiting patterns throughout state.

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Estimating Annual Average Daily Traffic Using Daily Adjustment Factor

This study dealt with estimating AADT which serves the important basic data in transportation sector. AADT estimation is fundamental to the analysis of transportation data sets and the management of transportation systems. AADT is estimated using short-term traffic counts at most sites because permanent traffic counts is installed at limited sites. To estimate AADT, an adjustment factor applica...

متن کامل

a study on insurer solvency by panel data model: the case of iranian insurance market

the aim of this thesis is an approach for assessing insurer’s solvency for iranian insurance companies. we use of economic data with both time series and cross-sectional variation, thus by using the panel data model will survey the insurer solvency.

the clustering and classification data mining techniques in insurance fraud detection:the case of iranian car insurance

با توجه به گسترش روز افزون تقلب در حوزه بیمه به خصوص در بخش بیمه اتومبیل و تبعات منفی آن برای شرکت های بیمه، به کارگیری روش های مناسب و کارآمد به منظور شناسایی و کشف تقلب در این حوزه امری ضروری است. درک الگوی موجود در داده های مربوط به مطالبات گزارش شده گذشته می تواند در کشف واقعی یا غیرواقعی بودن ادعای خسارت، مفید باشد. یکی از متداول ترین و پرکاربردترین راه های کشف الگوی داده ها استفاده از ر...

Average Annual Precipitation from Daily Amounts

Thrce charts of the contiguous United States show (1) thc percentage of mean annual total precipitation contributed b j daily amounts of 0.50 i ~ ] . or greater, (2) the avcragc aiinual accuniulatioi~ of these daily amounts, and (3) the arcragc annual number of days having precipitation of 0.50 in. or greater.

متن کامل

Clustering and Profiling Traffic Roads by Means of Accident Data

In Belgium, every year approximately 50.000 injury accidents occur in traffic, with almost 70.000 victims, of which 1.500 deaths (Belgian Institute for Traffic Safety, 2000). Not only does the steady increase in traffic intensity pose a heavy burden on the society in terms of the number of casualties, the insecurity on the roads will also have an important effect on the economic costs associate...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Emerald open research

سال: 2022

ISSN: ['2631-3952']

DOI: https://doi.org/10.35241/emeraldopenres.14632.1