منابع مشابه
Statistical Analysis of Two-lane Roundabout Data for Traffic Control Decision-Making in an Urban Area
Researches using existing statistics and data collected from the area of study help officials at decision-making, to improve the region's problems, like the problem of the high rate of accidents in the region, despite the low volume of daily service. The uses of roundabouts in many parts of the world have many advantages over intersections, amongst them are increased safety and capacity and red...
متن کاملan infinite planar array of rectangular microstrip patch antenna analysis
the methods which are used to analyze microstrip antennas, are divited into three categories: empirical methods, semi-empirical methods and full-wave analysis. empirical and semi-empirical methods are generally based on some fundamental simplifying assumptions about quality of surface current distribution and substrate thickness. thses simplificatioms cause low accuracy in field evaluation. ful...
15 صفحه اولBehavioral Analysis of Traffic Flow for an Effective Network Traffic Identification
Fast and accurate network traffic identification is becoming essential for network management, high quality of service control and early detection of network traffic abnormalities. Techniques based on statistical features of packet flows have recently become popular for network classification due to the limitations of traditional port and payload based methods. In this paper, we propose a metho...
متن کاملEvaluation of Decision-making Units in Reducing Traffic Accidents Using Data Envelopment Analysis
Background and Objectives: Road accidents are one of the most important causes of death and severe bodily injuries and financial damages, and its social, cultural, and economic consequences have severely threatened human societies. The purpose of this study was to use data envelopment analysis (DEA) to measure the efficiency of provincial traffic police in reducing accidents in 2018 and determi...
متن کاملFinancial Reporting Fraud Detection: An Analysis of Data Mining Algorithms
In the last decade, high profile financial frauds committed by large companies in both developed and developing countries were discovered and reported. This study compares the performance of five popular statistical and machine learning models in detecting financial statement fraud. The research objects are companies which experienced both fraudulent and non-fraudulent financial statements betw...
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ژورنال
عنوان ژورنال: Doboku Gakkai Ronbunshu
سال: 2002
ISSN: 0289-7806,1882-7187
DOI: 10.2208/jscej.2002.709_95