Information support of cargo ferry transport: case study of Latvia

Filina-Dawidowicz, Ludmiła; Cernova-Bickova, Anna; Semenov, Iouri N.; Możdrzeń, Daria; Wiktorowska-Jasik, Anna; Bickovs, Deniss

doi:10.1016/j.procs.2020.09.256

Cited by 4 publications

(1 citation statement)

References 25 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The effectiveness of cognitive processes aimed at studying possible events and phenomena that are able to disrupt the course of the transport process, including, for example, in cargo processes in freight transport, is increasing signi cantly [38]. Every attempt to broaden the information [39] is based on the procedures of data collection and processing in order to organize (structure) them according to certain parameters, e.g. the level of threats to tra c ow, probability of road accidents, etc.…”

Section: Road Infrastructure Safety Inspection (Safety Inspections)mentioning

confidence: 99%

Cluster Analysis as a Basis for the Development of an Application Assessing the Reliability of Transport Infrastructure

Trojanowski,

Husár,

Hrehová

et al. 2024

Preprint

View full text Add to dashboard Cite

Increased demand for transport services and increased mobility of citizens can lead to a reduction in the level of reliability of transport systems. This in turn increases the demand for ways to assess the reliability of road infrastructure by both transport companies and individual users. The article presents the substantive basis of an application used to determine the reliability of transport infrastructure. Our approach was based on grouping information into clusters – based on the author's proprietary clustering method. Its basis is the detailed analysis of the road infrastructure in terms of errors occurring on it, divided into conceptual, design and operational errors. The methodology consists of three stages of clustering (1) creating a database of sections with assigned errors, (2) determining the initial clusters, (3) creating a final database of clusters, and then assessing the reliability of the road infrastructure of the transport system on their basis. The assumption is that the application will remain open-ended – i.e. the database will be developed by users. The proposed methodology was verified on the example of the selected route in Poland (between Kalisz and Szczecin). Based on the results obtained during the experiment on the selected route, errors in the road infrastructure were determined. This, in turn, allowed us to find that there are a number of errors in the road infrastructure, including errors with a high frequency of occurrence i.e. the so-called permanent errors, which further confirms the need to create an application to assess the reliability of the road infrastructure.

show abstract

Section: Road Infrastructure Safety Inspection (Safety Inspections)mentioning

confidence: 99%

Cluster Analysis as a Basis for the Development of an Application Assessing the Reliability of Transport Infrastructure

Trojanowski,

Husár,

Hrehová

et al. 2024

Preprint

View full text Add to dashboard Cite

show abstract

First Step Towards Creating a Software Package for Detecting the Dangerous States During Driver Eye Monitoring

Andriyanov

2021

Pattern Recognition. ICPR International Workshops and Challenges

View full text Add to dashboard Cite

Cluster Analysis as a Basis for the Development of an Application Assessing the Reliability of Transport Infrastructure

Trojanowski,

Husár,

Hrehová

et al. 2024

Mobile Netw Appl

View full text Add to dashboard Cite

Increased demand for transport services and increased mobility of citizens can lead to a reduction in the level of reliability of transport systems. This in turn increases the demand for ways to assess the reliability of road infrastructure by both transport companies and individual users. The article presents the substantive basis of an application used to determine the reliability of transport infrastructure. Our approach was based on grouping information into clusters – based on the author’s proprietary clustering method. Its basis is the detailed analysis of the road infrastructure in terms of errors occurring on it, divided into conceptual, design and operational errors. The methodology consists of three stages of clustering (1) creating a database of sections with assigned errors, (2) determining the initial clusters, (3) creating a final database of clusters, and then assessing the reliability of the road infrastructure of the transport system on their basis. The assumption is that the application will remain open-ended – i.e. the database will be developed by users. The proposed methodology was verified on the example of the selected route in Poland (between Kalisz and Szczecin). Based on the results obtained during the experiment on the selected route, errors in the road infrastructure were determined. This, in turn, allowed us to find that there are a number of errors in the road infrastructure, including errors with a high frequency of occurrence i.e. the so-called permanent errors, which further confirms the need to create an application to assess the reliability of the road infrastructure.

show abstract

Information support of cargo ferry transport: case study of Latvia

Cited by 4 publications

References 25 publications

Cluster Analysis as a Basis for the Development of an Application Assessing the Reliability of Transport Infrastructure

Cluster Analysis as a Basis for the Development of an Application Assessing the Reliability of Transport Infrastructure

First Step Towards Creating a Software Package for Detecting the Dangerous States During Driver Eye Monitoring

Cluster Analysis as a Basis for the Development of an Application Assessing the Reliability of Transport Infrastructure

Contact Info

Product

Resources

About