The comparison and empirical study on short-time forecasting method of road network

Author(s):  
Zhihua Xiong ◽  
Zhisheng Yao
2016 ◽  
Vol 167 (5) ◽  
pp. 294-301
Author(s):  
Leo Bont

Optimal layout of a forest road network The road network is the backbone of forest management. When creating or redesigning a forest road network, one important question is how to shape the layout, this means to fix the spatial arrangement and the dimensioning standard of the roads. We consider two kinds of layout problems. First, new forest road network in an area without any such development yet, and second, redesign of existing road network for actual requirements. For each problem situation, we will present a method that allows to detect automatically the optimal road and harvesting layout. The method aims to identify a road network that concurrently minimizes the harvesting cost, the road network cost (construction and maintenance) and the hauling cost over the entire life cycle. Ecological issues can be considered as well. The method will be presented and discussed with the help of two case studies. The main benefit of the application of optimization tools consists in an objective-based planning, which allows to check and compare different scenarios and objectives within a short time. The responses coming from the case study regions were highly positive: practitioners suggest to make those methods a standard practice and to further develop the prototype to a user-friendly expert software.


2017 ◽  
Vol 5 (2) ◽  
pp. 392-399 ◽  
Author(s):  
Leonardo Caggiani ◽  
Rosalia Camporeale ◽  
Mario Binetti ◽  
Michele Ottomanelli

2021 ◽  
Vol 9 (2) ◽  
pp. 17-24
Author(s):  
Rumyana Neminska

When COVID-19 pandemic hit Bulgarian education was in the middle of its reform. Health requirements, the long lockdown, have expelled a huge surge of the need not only for a survival but also for the preservation and transformation of education. Education on all levels including higher academic education took quick steps to reorient to online learning. In a short time, university electronic platforms became the daily place for learning. This online reorientation has led to a number of changes in teaching models, online learning management and more. Practically all methodologies and methodologies that the pedagogical students get acquainted with have been rewritten. It is in this direction that the article traces the challenges facing higher education and examines an empirical study of the attitudes of student educators trained in an online environment.


2016 ◽  
Vol 23 (2) ◽  
pp. 169
Author(s):  
Sasongko W Rusdianto

Cattle prices in Nusa Tenggara Barat tend to change in short time. It is difficult for farmers to predict price in the future. Price changes could affect farmers income. Therefore we need a method by which farmers could predict the price in order to make production decision. The purpose of this study was to predict of price based on the average price level for one year. This study used secondary data of cattle prices monthly, patterns of changes measured by index, then performed statistical analysis. The results of this study shows that the forecasting method used is only relevant to the pattern of price changes with a relatively similar pattern in a specified period. Price changes caused by external factors will have different pattern and causes greater deviation, so it can not be used to predict the price of cattles in NTB.


2011 ◽  
Vol 135-136 ◽  
pp. 969-974 ◽  
Author(s):  
Yong Feng Ju ◽  
Xiao Wei Wei

Short-traffic flow forecasting is an important part of ITS, and its accuracy and real-time is directly related to the effect of traffic control and traffic induce. Gathering and analyzing the real-time data of urban road network ,short-time traffic flow forecasting could estimate the state of traffic flow for a few minutes in future and provide support to intelligent transportation control, so it is one of the important premise for ITS.


2021 ◽  
Vol 5 (2) ◽  
pp. 281-305
Author(s):  
Els Stronks

This article takes a dictionary by Joos Lambrecht, dating from 1546, as its point of departure. It argues that this dictionary, as well as other dictionaries and treatises produced in the wake of Lambrecht’s, did more than teach their young audience in the Dutch Republic the meaning of existing words and thus transfer cultural and linguistic knowledge as was already understood. They also taught youngsters how to obtain (new) knowledge from their own empirical observations. The Dutch books on morphology, orthography, phonology, and grammar – produced in large numbers – offered their readers the opportunity to use their own language as an object for empirical study. By charting the dynamics of language, knowledge, and empirical training, it is argued that the Dutch language was, for a short time, treated by writers not merely as a means to express and share knowledge, but also as an object of study in itself. What might have formed an accessible training ground for the development of skills in empirical observation and especially self-reflexive practice, was, however, soon snuffed out by a second wave of tutorial books which emphasised the prescriptive over the explorative.


2012 ◽  
Vol 3 (2) ◽  
pp. 1-20
Author(s):  
Thomas Seemann ◽  
Albrecht Enders ◽  
Harald Hungenberg

  Prediction markets are an innovative forecasting method that has proven high prediction accuracy in many areas. The method is, however, far from being established since many organizations are still reluctant to use the method. In particular the trust in the forecast results is a key challenge that negatively impacts the adoption of the method. To get a better understanding of what drives trust in prediction markets we analyzed the perceptions of prediction market users. We identify factors that influence the trust and quantified them in an empirical study. The study is based on user surveys in six experimental prediction markets. The influencing factors were evaluated using a structural equation model. The results demonstrate that participants who are highly engaged and perceive trading in prediction market as exciting and entertaining also put a higher trust in the market results.   


2018 ◽  
Vol 04 (03n04) ◽  
pp. 1950006
Author(s):  
Frédéric Bucci ◽  
Michael Benzaquen ◽  
Fabrizio Lillo ◽  
Jean-Philippe Bouchaud

We present an empirical study of price reversion after the executed metaorders. We use a dataset with more than 8 million metaorders executed by institutional investors in the US equity market. We show that relaxation takes place as soon as the metaorder ends: while at the end of the same day, it is on average [Formula: see text] of the peak impact, the decay continues for the next few days, following a power-law function at short-time scales, and converges to a non-zero asymptotic value at long-time scales ([Formula: see text] days) equal to [Formula: see text] of the impact at the end of the first day, that is [Formula: see text] of peak impact. Due to a significant, multiday correlation of the sign of executed metaorders, a careful deconvolution of the observed impact must be performed to extract the estimate of the impact decay of isolated metaorders.


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