Analysis of Influencing Factors of Integrated Freight Transport Volume Based on Gray Markov Model

2018 ◽  
pp. 671-679
Author(s):  
Ya-ping Zhang ◽  
Yue-e Gao ◽  
Yan-wen Xie ◽  
Shou-ming Qi
Keyword(s):  
Markov Model ◽  
Influencing Factors ◽  
Freight Transport ◽  
Transport Volume

scholarly journals Using Toll Data to Improve the Quality of Road Freight Transport Statistics (RFTS) on Austrian Roads

2020 ◽  
Vol 49 (5) ◽  
pp. 18-34
Author(s):  
Stefan Fleck ◽  
Thomas Karner ◽  
Sabine Schuster ◽  
Brigitte Weninger
Keyword(s):  
Road Network ◽  
Freight Transport ◽  
Individual Member ◽  
Member States ◽  
Road Freight ◽  
And Performance ◽  
Reliable Interpretation ◽  
The Individual ◽  
Transport Volume

The European road freight transport statistics (RFTS) result from surveys, which are conducted by several states on the basis of EU-legislation. As there is no strict methodology for the implementation of these surveys, they are slightly different regarding the individual states. This article analyses the additional use of toll data to improve the European RFTS and to impute transport volume and performance of third states affecting the Austrian territory. First, it was attempted to derive journeys as defined in the RFTS from the toll data and assign them to their type of transport. These analyses were very elaborate but showed no satisfying results. The number of journeys from the RFTS data and toll data were too different to allow a reliable interpretation. Hence, this approach was rejected. A comparison of vehicle-kilometres on the higher road network between the two data sources proved to be more successful, as the differences were in an explainable and acceptable scope. Two thirds of them could be derived from methodological reasons regarding the survey in the respective member states and due to missing third states. On the basis of the vehicle-kilometres from the toll data a correction factor for the RFTS results of the individual member states and a procedure for the imputation of third states were developed and applied to publish weighted results.

scholarly journals Improving road freight transport statistics by using a distance matrix

2017 ◽  
Vol 46 (2) ◽  
pp. 65-80
Author(s):  
Thomas Karner ◽  
Brigitte Weninger ◽  
Sabine Schuster ◽  
Stefan Fleck ◽  
Ingrid Kaminger
Keyword(s):  
Distance Matrix ◽  
Freight Transport ◽  
Postal Code ◽  
High Positive Correlation ◽  
Road Freight ◽  
Postal Code Area ◽  
Data Statistics ◽  
Loading And Unloading ◽  
Transport Volume

Distances driven by road freight vehicles are an essential parameter for the calculation of transport volume. In the Austrian road freight survey, places of loading and unloading are recorded on a postal code basis. To derive the actual distances driven from this data, Statistics Austria uses a distance matrix that was first created in the 1980s. While the first version of this matrix was based on manual measurements, it has recently been recreated and updated using modern routing software. This article describes the methodology on which the current Austrian distance matrix is based. The main points discussed are: how to determine representative centroids for postal code areas; how to deal with journeys within one postal code area; and how to calculate the actual distances using routing software. The last part of the article compares the distance matrix to odometer readings from the Austrian road freight survey of the reference year 2015. This comparison showed a high positive correlation which indicates the good quality of the developed distance matrix and emphasises its usefulness in road freight transport statistics.

scholarly journals Influencing Factors of Carbon Emission in China's Road Freight Transport

2012 ◽  
Vol 43 ◽  
pp. 54-64 ◽  
Author(s):  
Tianyi Wang ◽  
Hongqi Li ◽  
Jun Zhang ◽  
Yue Lu
Keyword(s):  
Influencing Factors ◽  
Carbon Emission ◽  
Freight Transport ◽  
Road Freight

A study on spot welding quality judgment based on hidden Markov model

2020 ◽  
pp. 095440892095395
Author(s):  
Bing Wang
Keyword(s):  
Markov Model ◽  
Hidden Markov Model ◽  
Influencing Factors ◽  
Process Parameters ◽  
Spot Welding ◽  
Hidden Markov ◽  
Welding Current ◽  
Welding Quality ◽  
Electrode Voltage ◽  
Spot Welder

Aiming at the influencing factors of spot welding quality and the shortcomings of the method of judging the spot welding quality based on the monitoring waveform curves: it is impossible to deeply analyze the differences between the corresponding monitoring waveform curves and spot welding qualities. In this study, according to the monitoring waveform curves of the welding current, inter-electrode voltage, electrode pressure and other signals when the spot welder executes the process parameters, by establishing the HMM model to realize the judgment of spot welding quality. The proposed method was also applied to the experiments of spot welding quality judgment for verifying the algorithm effectiveness.

scholarly journals Using Constraints in Freight Volume to Identify Regional Needs for Roadway Infrastructure

2020 ◽  
Vol 32 (2) ◽  
pp. 237-246
Author(s):  
Jiri Alina ◽  
Richard McGrath ◽  
Ivana Faltová Leitmanová ◽  
Filip Petrách
Keyword(s):  
Czech Republic ◽  
Freight Transport ◽  
Marginal Effect ◽  
Developed Country ◽  
The Czech Republic ◽  
Preliminary Model ◽  
Freight Volume ◽  
Transport Volume ◽  
Transportation Flows ◽  
The Relationship

Policy decisions on the allocation of funds among sub-national regions for transportation infrastructure, specifically for motorways, face budgetary constraints and problems of geographical allocation. The purpose of this research is to assist the policymakers in efficiently allocating resources. The objective of this research is to test the ability of a limited model to identify regions whose freight transport capacity is constrained by lack of motorway infrastructure. This paper conducts an analysis of the relationship between freight transport volume, indicators of the demand for goods, indicators of congestion, and the availability of motorways and class one roadways across regions to determine if a model based on available data may inform the policymakers to effectively use limited funds and avoid unnecessary construction. The NUTS3 regions in the Czech Republic are used to estimate a preliminary model that may be generalized for the use across countries. The analysis finds sufficient variability across regions in the marginal effect of motorways on freight transport to assist the policymakers in determining which regions face the most economically severe constraints, and to separate the effects of population density from the lack of infrastructure. Although the Czech Republic is a developed country, there is significant emphasis, due to the increasing volumes of transportation flows, on the analysis of transportation in relation with the land use.

POSSIBLE INFLUENCING FACTORS OF BOWEL CLEANLINESS DURING COLONOSCOPY

2018 ◽  
Author(s):  
I Iozsef ◽  
O Ilyés ◽  
P Miheller ◽  
AV Patai
Keyword(s):  
Influencing Factors

Reliability-Based Assessment of the Truck Safe Following Distance Considering Multiple Influencing Factors

CICTP 2017 ◽  
2018 ◽  
Author(s):  
Bowen Dong ◽  
Wenjun Du ◽  
Feng Chen ◽  
Qi Deng ◽  
Xiaodong Pan
Keyword(s):  
Influencing Factors
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