Publication detail

Statistical Evaluation of Large-Scale Data Logistics System

ŠOMPLÁK, R. ŠMÍDOVÁ, Z. SMEJKALOVÁ, V. NEVRLÝ, V.

Original Title

Statistical Evaluation of Large-Scale Data Logistics System

Type

journal article in Scopus

Language

English

Original Abstract

Data recording is struggling with the occurrence of errors, which worsen the accuracy of follow-up calculations. Achievement of satisfactory results requires the data processing to eliminate the influence of errors. This paper applies a data reconciliation technique for mining of data from ecording movement vehicles. The database collects information about the start and end point of the route (GPS coordinates) and total duration. The presented methodology smooths available data and allows to obtain an estimation of transportation time through individual parts of the entire recorded route. This process allows obtaining valuable information which can be used for further transportation planning. First, the proposed mathematical model is tested on simplifled example. The real data application requires necessary preprocessing within which anticipated routes are designed. Thus, the database is supplemented with information on the probable speed of the vehicle. The mathematical model is based on weighted least squares data reconciliation which is organized iteratively. Due to the time-consuming calculation, the linearised model is computed to initialize the values for a complex model. The attention is also paid to the weight setting. The weighing system is designed to reflect the quality of specific data and the dependence on the frequency of trafic. In this respect, the model is not strict, which leaves the possibility to adapt to the current data. The case study focuses on the GPS data of shipping vehicles in the particular city in the Czech Republic with several types of roads.

Keywords

data reconciliation; GPS data; random errors; weight of data; transportation time

Authors

ŠOMPLÁK, R.; ŠMÍDOVÁ, Z.; SMEJKALOVÁ, V.; NEVRLÝ, V.

Released

21. 12. 2018

Publisher

Brno University of Technology

Location

Brno, Czech Republic

ISBN

1803-3814

Periodical

Mendel Journal series

Year of study

24

Number

2

State

Czech Republic

Pages from

9

Pages to

16

Pages count

8

URL

https://mendel-journal.org/index.php/mendel/article/view/3

BibTex

@article{BUT156433,
  author="Radovan {Šomplák} and Zlata {Šmídová} and Veronika {Smejkalová} and Vlastimír {Nevrlý}",
  title="Statistical Evaluation of Large-Scale Data Logistics System",
  journal="Mendel Journal series",
  year="2018",
  volume="24",
  number="2",
  pages="9--16",
  doi="10.13164/mendel.2018.2.009",
  issn="1803-3814",
  url="https://mendel-journal.org/index.php/mendel/article/view/3"
}