| Autor: |
Dmitry E. Namiot, Oleg N. Pokusaev, Vasily P. Kupriyanovsky |
| Jazyk: |
ruština |
| Rok vydání: |
2018 |
| Předmět: |
|
| Zdroj: |
Современные информационные технологии и IT-образование, Vol 14, Iss 3, Pp 756-761 (2018) |
| Druh dokumentu: |
article |
| ISSN: |
2411-1473 |
| DOI: |
10.25559/SITITO.14.201803.756-761 |
| Popis: |
Transport (smart transport) is one of the main components of the Smart City. Accordingly, much attention is paid to the analysis and planning of transport (traffic flows) in cities. Naturally, any analysis should be based on some collected (measured) data. In this article, information about the use of railway stations by passengers is used as such data. This is data on the validation (checking) of travel documents at the entrance to the station and at the exit from it. For each station, the data includes time, the characteristics of the travel document, as well as information on the starting and ending station of the trip. The article is based on the results of work on the design of a new system of urban railways, and this design involves analyzing data on the use of railway stations, both within the city and in the urban metropolitan area. In the paper, the patterns (models) of the use of railway stations are considered. An understanding of how a station is used by passengers is necessary to assess the traffic (passenger traffic) of the transport system, which in turn is the main task at the design stage. Another important point is that usage patterns reflect the current state of the transport system and the urban environment. Accordingly, these patterns (models) can be used in urban analytics and act as indicators and metrics of changes in the urban environment. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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