Train Dispatching Effectiveness with Respect to Communications-Based Train Control: Quantification of the Relationship

Author(s):  
Michael E. Smith ◽  
Randolph R. Resor ◽  
Pradeep Patel

This analysis presents a methodology for measuring the efficiency of train dispatching as a product of three variables: (a) the type of train control system (measured by latency, defined here as the interval between occurrence of a schedule deviation and initiation of corrective action); (b) the physical capacity of the route (track kilometers per route kilometers); and (c) train minutes per route kilometer (a measure of both capacity and dispatcher competence). A mathematical relationship among these three variables is postulated, and a log-log regression analysis is used to develop coefficients that relate each of the three independent variables to dispatching efficiency. To do this, actual train-movement data and minimum train running times for 28 U.S. Class I railroad line segments are used. Results of the regression analysis indicate a statistically valid relationship among latency, track capacity, traffic volume, and dispatching effectiveness. Dispatching effectiveness, calculated by placing track kilometers per route kilometer, train minutes per route kilometer, and latency at their mean values, was 71.3 percent (the mean latency was about 17 min). At a latency of 3.5 min, average effectiveness is 81.3 percent. Examples of the trade-off between latency and effectiveness and between track capacity and effectiveness also can be calculated. For the average line, when latency is progressively reduced from the current value of 15 min to 3.5 min, dispatching effectiveness increases from 71.3 to 81.3 percent. When track kilometers per route kilometer are increased from the average value of 1.3 to 2.0 (double-tracking the entire railroad, holding all other values constant) dispatching effectiveness can be increased from 71.3 to 89.5 percent—a larger increase than that realized from a reduction in latency, but at much higher cost. To quantify the dollar benefits of such an increase in dispatching effectiveness for U.S. railroads, further analyses were carried out. Based on a previous study of Burlington Northern operations, train delay costs ranged from $163/hr to $266/hr. To simplify calculations, a value of $200/hr is used. According to U.S. railroad statistics, there are about 21 million train hours of traffic each year. Benefits available from installing communications-based train control are calculated in terms of additional train minutes per route kilometer available with an increase in dispatching effectiveness based on this analysis. Based on this analysis, it should be possible to save (1 − 0.713/0.813) or 12.3 percent of total train hours. The benefit of this would be $200 × 0.123 × 21 × 10 or $520 million annually. The Association of American Railroads has estimated the cost of positive train control for the entire U.S. railway network to be between $843 million and $1.1 billion.

2018 ◽  
Vol 2 (2) ◽  
pp. 178-182
Author(s):  
Sutijo Joko Sudiro ◽  
Muchammad Farid ◽  
Eko Swistoro

ABSTRACT [Relationship between Groundwater Surface Depth with Salinity at the Coast of New Kungkai Beach and its Implementation on Discovery Learning Model]. The aims of this study were 1) to describe the relationship between groundwater surface depth with salinity in the coastal areas of new kungkai beach of Seluma, and 2) to determine the improvement of learning outcomes (cognitive) of high ability students, moderate and low by using discovery learning model on the concept of static fluid in class X computer and network engineering at SMK Negeri 3 Seluma. This research was a quasi experimental research with one groups pretest-posttest design. The results showed: 1) The relationship between depth with salinity has a value of 0.6478 with a significance level of 0.001 (<0.05); 2) Learning with discovery learning model can improve student learning outcomes on cognitive aspects (knowledge). Increased cognitive results can be seen from the average value of the initial test, the final test and the average value of gain in the class x Tkj is high-ability groups are at high criteria with a value of 0.75 gain in the group is in the criteria medium with the value of gain 0,52 and in the low group were in moderate criteria with a gain value of 0.44. There is a difference in learning outcomes between the high, medium and low groups. The difference is shown by Fcount > Ftable (4.04 > 3.35) with a significance level of 5%. Keywords: Groundwater surface depth; salinity; discovery learning model; SMKN 3 Seluma.


2020 ◽  
Vol 3 (3) ◽  
pp. 225-235
Author(s):  
Ongki Okto Beranda ◽  
Bintal Amin ◽  
Sofyan Husein Siregar

The study was conducted in August-October 2019. Aims to determine theconcentration of nitrate, phosphate, uniformity index, diversity and index of dominancy,abundance of epipelic diatoms and know the relationship between nitrate,phosphate and epipelic abundance diatoms in the water area of Sungaitohor DesaMeranti of Riau Islands district. The method used in this research is a surveymethod consisting of 4 research stations. Location of observation and sampling is in the waters of Muara Sungaitohor Kabupaten Meranti Islands. Basedon the results of this study of nitrateconcentrations in the waters of Sungaitohor Bekisar village 0,068-0,092 mg/l, phosphate concentrations ranged0,097-0,220 mg/L. The Epipelic diatom found in the water area of Sungaitohorvillage amounted to 14 types. As for the abundance of type diatomsepipelics ranged from 27,531.72– 40,531.72 ind/cm2. From theCalculation of the community structure diatoms epipelic obtained diversityindex value (H ') which indicates a low index value of h ' has a value of2.7527 and is at a range of 1 ≤ H ' ≤ 3. The uniformity index (E) indicatesthat an epipelic spread is not balanced with an average value of 0.3643uniformity and is at a range of value ≤ 0.5. Meanwhile, the Dominance index (D)shows the value of 0.1704 where the value of the area in the waters ofSungaitohor village does not dominate. The relationship of abundance ofepipelic diatoms with the concentration of nitrate is positive and very weak,with a correlation coefficient of R = 0.0030. While the relationship ofAbundance diatomic epipelic relationship with phosphate concentrations isnegative and weak, with a correlation coefficient r = 0.262. Abundance ofdiatomic epipelics is directly proportional to the concentration of nitrate andinversely proportional to phosphate concentrations


2019 ◽  
Vol 1 (3) ◽  
pp. 1510-1517
Author(s):  
M. Ardhy Erwanda ◽  
Henri Agustin ◽  
Erly Mulyani

This study aims to determine the effect of applying e-filing and knowledge of taxation on taxpayer compliance. Compliance costs as moderating variable that moderate relations between application e-filing and knowledge taxation on the taxpayer compliance. The population in this study is taxpayers in Padang city. The number off samples used was 100 respondents with the sampling method using purposive sampling. The data used in this study are primary data. Data collection techniques are done by questionnaire. The data analysis technique used is multiple regression and moderated regression analysis. The results obtained are the application of e-filing has a significant positive effect on taxpayer compliance, knowledge of taxation does not affect taxpayer compliance, compliance costs proved to moderate the relationship between the implementation of e-filing and taxpayer compliance, and the cost of compliance was not proven to moderate the knowledge relationship of taxation with taxpayer compliance


2017 ◽  
Author(s):  
Changchun Huang ◽  
Lin Yao ◽  
Hao Yang ◽  
Chen Lin ◽  
Tao Huang ◽  
...  

Abstract. We examined the relationship between, and variations in, particulate organic carbon (POC) and particulate organic nitrogen (PON) based on previously acquired ocean and inland water data. Some new points were found beside the traditional latitude, depth and temperature dependence of POC, PON and POC/PON. The global average value of POC/PON (7.54±3.82) is higher than the Redfield ratio (6.63). The mean values of POC/PON in south and north hemisphere are 7.40±3.83 and 7.80±3.92, respectively. The high values of POC/PON appeared between 80° N~90° N (12.2±7.5) and 70° N~80° N (9.4±6.4), and relatively low POC/PON were found from 20 °N (6.6±2.8) to 40 °N (6.7±2.7). The latitudinal dependency of POC/PON in the northern hemisphere is much stronger than in the southern hemisphere. Variations of POC/PON in inland water also showed similar latitude-dependency of POC/PON in ocean water, but significantly regulated by lake’s morphology, trophic state and climate, etc. factors. Higher POC and PON could be expected in the coastal water, while POC/PON significantly increased from 6.89±2.38 to 7.59±4.22 in north hemisphere with the increasing rate of 0.0024/km. The coupling relationship between POC and PON in oceans is much stronger than in inland waters. Variations in POC, PON and POC/PON in inland waters should receive more attention due to the importance of these values to global carbon and nitrogen cycles and the indeterminacy of the relationship between POC and PON.


2021 ◽  
Vol 12 (1) ◽  
pp. 345
Author(s):  
Nerea Fernández-Berrueta ◽  
Jon Goya ◽  
Jaione Arrizabalaga ◽  
Iker Moya ◽  
Jaizki Mendizabal

Railway applications are in continuous evolution with the aim of offering a more efficient, sustainable, and safer transportation system for the users. Generally, these applications are constantly exchanging information between the systems onboard the train and the trackside through a wireless communication. Nowadays, Global System for Mobile communications-Railway (GSM-R) is the technology used by European Train Control System (ETCS), but it is becoming obsolete. Therefore, alternatives for this technology have to be found for the different railway applications. Its natural evolution is to move forward with the latest technology deployed: Long-Term Evolution (LTE), which the Public Land Mobile Networks (PLMN) have already deployed. Therefore, testing the performance of this communication technology in the railway environment could be useful to assess its suitability and reduce the cost of railway network dedicated deployment. In order to do that, a methodology to characterize the communication environment is proposed. The main goal is to measure geolocated impairments of any communication channel in a railway environment being able to determine its behavior of the different communication technologies and find out possible coverage issues. Moreover, it could help in the selection of suitable communication technology for railway. This paper presents a brief description of the communication for railways and its QoS parameters for performance measuring. Afterward, the testing methodology is described, and then, the communication channel measurement campaign on a real track in Spain where the railway environment is variable is presented (tunnels, rural/urban area…). Finally, the measurements and results on this real track in Spain are shown. The results provide suitability of the 4G technologies based on the delay requirements for the implementation of ETCS over it.


2021 ◽  
Vol 6 (1) ◽  
pp. 353-360
Author(s):  
Sikandar Shah ◽  
Dr. Wisal Ahmad ◽  
Dr. Muhammad Faizan Malik ◽  
Shah Raza Khan

This studyexamines that how companies take decision of outsourcing and vertical integration a value-chain activity currently the most complex problem faced by most the organization around the globe and also find the relationship and highlight the role of every activity related to outsourcing and vertical integration. In result of survey and interviews of different small, medium and corporate level companies in KPK, procurement managers and operations managers mostly in view of that outsourcing is thebest way to work in the market, because of the cost reduction, minimumturnaround time and especially in the uncertain market of KPK.


Author(s):  
Muhajir Sial

This article may be used for research, teaching, and private study purposes. In this study, I focused on regression analysis and with a special focus on types of regression analysis and some types of regression. The term regression is used to indicate the estimation or prediction of the average value of one variable for a specified value of another variable. And Regression Analysis is a statistical tool used to estimate the relationship between a dependent variable and an independent variable. For example, if a Manger of a firm wants to the exact relationship between advertisement expenditure and sales for future planning then the regression technique will be most suitable for him.


2018 ◽  
Vol 2 (2) ◽  
Author(s):  
Sutijo Joko Sudiro ◽  
Muchammad Farid ◽  
Eko Swistoro

ABSTRACT [Relationship between Groundwater Surface Depth with Salinity at the Coast of New Kungkai Beach and its Implementation on Discovery Learning Model]. The aims of this study were 1) to describe the relationship between groundwater surface depth with salinity in the coastal areas of new kungkai beach of Seluma, and 2) to determine the improvement of learning outcomes (cognitive) of high ability students, moderate and low by using discovery learning model on the concept of static fluid in class X computer and network engineering at SMK Negeri 3 Seluma. This research was a quasi experimental research with one groups pretest-posttest design. The results showed: 1) The relationship between depth with salinity has a value of 0.6478 with a significance level of 0.001 (<0.05); 2) Learning with discovery learning model can improve student learning outcomes on cognitive aspects (knowledge). Increased cognitive results can be seen from the average value of the initial test, the final test and the average value of gain in the class x Tkj is high-ability groups are at high criteria with a value of 0.75 gain in the group is in the criteria medium with the value of gain 0,52 and in the low group were in moderate criteria with a gain value of 0.44. There is a difference in learning outcomes between the high, medium and low groups. The difference is shown by Fcount > Ftable (4.04 > 3.35) with a significance level of 5%. Keywords: Groundwater surface depth; salinity; discovery learning model; SMKN 3 Seluma.


2021 ◽  
Vol 18 (2) ◽  
pp. 170-176
Author(s):  
Shesanthi Citrariana ◽  
Oktavia Indrati ◽  
Puspa Dwi Pratiwi ◽  
Ita Nurma Sari ◽  
Ari Wibowo

Uv-Vis spectrophotometry is an analytical method that can be used to determine the levels of domperidon maleate contained in transdermal patches with different polymers. The analysis method needs to be validated to prove that it can provide measurement results that match its designation. The purpose of this study is to prove that uv-vis spectrophotometry methods can provide the specificity, linearity, thoroughness, and precision that meet the requirements. In this study, linearity was known by calculating the r value on the curve of the relationship between levels and absorbance. Precision is obtained based on rsd value. Accuracy is calculated based on the return value. Selectiveity is known by means of identity confirmation that calculates the absorbance ratio at different wavelengths. The results showed that the method meets the requirements with a value of r=0.999; RSD precision results at a level of 10 ppm obtained RSD 0.236%. The accuracy values of 80%, 100%, and 120% in the matrix of transdermal domperidon maleate patches with PVA and PVP polymers respectively recovery was 99.50%, 101.15%, and 99.13%.. In the matrix of transdermal patches domperidon maleate with polymers HPMC and Na-CMC respectively recovery was 100.91%, 100.31%, and 100.67%. In the matrix of transdermal domperidon patches with HPMC and EC polymers respectively recovery was 98.00%, 98.00%, and 99.00%. The identity confirmation results on the transdermal domperidon patch matrix with PVA and PVP polymers, HPMC and Na-CMC, as well as HPMC and EC respectively have ratio value close to the standard solution with an average value of 0.800; 0,806; and 0.808. It can be concluded that the method of analyzing the levels of domperidone maleate in matrix of transdermal patches has qualified for good validity.


2019 ◽  
Vol 4 (2) ◽  
pp. 245 ◽  
Author(s):  
Abdul Gaffar Rafid ◽  
Hotman Tohir Pohan ◽  
Ice Nasyrah Noor

<p><em>The Study examined the effect of the allocation of the cost of social responsibility as a proxy of the disclosure of Corporate Social Responsibility) on the relationship between ROA as a proxy of the financial performance of the company’s value and the impact of the cost allocation of social responsibility as a proxy of the financial performance of the company’s value. The purpose of research is to find empirical evidence of (a) the effect of financial performance ROA on firm value, (b) the effect of the financial performance of CR on firm value (c) the effect of CSR on the relationship between ROA enterprise value (d) the effect of CSR on the relationship between CR with the value of the company.</em></p><p><em>The sample in this research is manufacturing companies listed in Indonesia Stock Exchange (IDX) in the range of 2013-2015. Samples were as many 33 companies with 95 observation. Analysis of data using multiple linear regression analysis.</em></p><em>Result of research by linear regression analysis showed that the ROA have negative significant effect on firm value. Than the results of linear regression analysis showed that the CR also has a negative significant effect on firm value. Furtermore, linear regression analysis reveals that the disclosure of CSR is not able to oderate the relationship between ROA on firm value. But unlike the CR, research results show that the disclosure of CSR is able to moderate the relationship between CR on firm value. Simulataneous the independent variable affects the company’s value.</em>


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