Automatically collecting data traffic in intersections by using video analytics software for vehicle counting

Autor: A I Dontu, L Gaiginschi, A Sachelarie
Rok vydání: 2022
Předmět:
Zdroj: IOP Conference Series: Materials Science and Engineering. 1262:012063
ISSN: 1757-899X
1757-8981
DOI: 10.1088/1757-899x/1262/1/012063
Popis: Traffic volume and composition data are important for infrastructure planning and increase traffic safety. The actual survey techniques depend on the goals of the survey, the amount of traffic data and the human and financial resources available. The purpose of this research is to improve classical collecting data by creating an automatically collecting data traffic with the help of a video analytics software. Authors present in this paper a new method for automatically collecting data traffic using Camlytics, a video analytics software, which is automatic processing the videos. This method is less time consuming, don’t need a significant human resource and it is easy to apply. Also, this new method for counting the traffic may be used by the municipality for making a better fluidisation of traffic in the city by corelating the data traffic with the Intelligent Transportation Systems (I.T.S.).
Databáze: OpenAIRE