Data processing intersection detectors Antwerp
22075
2022
TML filtered and aggregated raw data from traffic detection into a new database that presents traffic intensities from the past four years at different levels of aggregation.This allows easy analysis of average traffic intensities per quarter-hour, year, and week, including detection of faulty or incorrect counts.
For various purposes, it is important that accurate counts of intensities of all modes are available. With smart traffic lights making their appearance, there is a large influx of data. However, raw data from traffic detectors is not easy to interpret and use. In this project, we filtered and aggregated this data for easy presentation afterwards.
The main result was a database in which we presented all data at intersections from the past four years at different levels of aggregation. The database allowed us to analyse average traffic intensities per quarter of an hour or per year, for all days or for all school days. In this way, we obtained three results, each giving an average value per street, either for all days combined or for school days only:
- Average traffic intensity per quarter of the day: an average number of vehicles (in vehicles per hour) for 0:00 to 0:15, 0:15 to 0:30 ...
- Average traffic intensity per year: an average number of vehicles (in vehicles per day) for 2019, 2020, 2021, and 2022.
- Average traffic intensity per week: an average number of vehicles (in vehicles per day) for the first week of 2019 and the second week of 2019.
