Open AccessAnomalies in Transport Data
Author(s) -
O. Pokusaev,
Dmitry Namiot
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/666/5/052015
Subject(s) - computer science , task (project management) , analytics , point (geometry) , big data , interval (graph theory) , data analysis , transport engineering , telecommunications , operations research , data science , engineering , data mining , systems engineering , mathematics , geometry , combinatorics
Over time, the analysis of traffic data has come down to predicting traffic flows. Building correspondence matrices describing traffic flows, forecasting traffic flows at a specific point and at a specific time interval is what transport analytics did. However, the development of technology and the economy has led to the fact that the penetration of mobile phones and the efforts of telecommunications operators provide complete information about the movements of mobile devices (their users) in modern cities. This means, in particular, that predicting flows is no longer a task. Other issues come to the fore. And one of them is just an analysis of anomalies. This is necessary, first of all, at the stage of operation of Smart City systems.