- Tytuł:
- Urban Traffic Detectors Data Mining for Determination of Variations in Traffic Volumes
- Autorzy:
-
Bartuska, Ladislaw
Hanzl, Jiří
Lizbetin, Jan - Powiązania:
- https://bibliotekanauki.pl/articles/1838327.pdf
- Data publikacji:
- 2020
- Wydawca:
- Sieć Badawcza Łukasiewicz. Przemysłowy Instytut Motoryzacji
- Tematy:
-
urban road traffic
traffic variations
road traffic data mining
classification of roads - Opis:
- This paper analyses road traffic volumes in the urban environment for the purpose of traffic planning and creation of traffic models. For modelling traffic in a certain area, the initial information about transport demand and distribution in given area is required. The demand for transport is further re-distributed to the transport network and measured against the current road traffic volumes / intensity of traffic. Traffic volumes over time are characterized by various periodic and non-periodic influences (variations). By studying these variations, the tools can be specified for making the final estimate of traffic volumes for a specific time period, a specific type of road or specific vehicle category, and for improving the traffic models for a specific area. In this paper, the authors study time variations in traffic volumes using the data obtained from vehicle detectors for monitoring traffic located on roads in the city of Ceske Budejovice, the Czech Republic.
- Źródło:
-
Archiwum Motoryzacji; 2020, 90, 4; 15-31
1234-754X
2084-476X - Pojawia się w:
- Archiwum Motoryzacji
- Dostawca treści:
- Biblioteka Nauki
Artykuł