Open AccessMethods and models of traffic analysis
Author(s) -
J I Shamlitskiy,
D V Rogova,
A S Polyakova,
А. А. Попов,
L V Lipinskiy
Publication year - 2021
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1155/1/012045
Subject(s) - computer science , floating car data , data collection , transport engineering , real time computing , operations research , data mining , traffic congestion , engineering , mathematics , statistics
This article analyzes the traffic situation, and also discusses the methods of collecting data and how they are applied on the road. In addition, the advantages and disadvantages of the methods studied in the work are given. There is a separate talk about the Floating Car Data (FCD) method, what is the essence of the method, its advantages and disadvantages. In turn, the paper presents a difference in the approaches to using data collection methods, namely the Floating Car Data method on the use of the Global Positioning System in cars and the method based on telephone devices with a Global Positioning System signal. The average annual daily traffic is considered as one of the most important traffic data. Describes a way to implement the Floating Car Data method, the advantage in using and improving this method and the prospects of the method in the future.