Оригинал (Original)
Автори: Жекова, М. М., Шопов, М. П.
Заглавие: Математически Модели От Напречни Сечения На Първични Данни От Управление На Трафика, Основани На Пространствени, Времеви И Структурни Измерения
Ключови думи: traffic management systems; traffic analytics; traffic dynam

Абстракт: This study examines the development of mathematical and statistical models using primary data from traffic management systems in the municipality of Plovdiv. The data include multidimensional characteristics such as time stamp, direction, speed, lane, vehicle class, weight, and country of registration. The main goal is to transform raw observations into analytical structures with high added value by using cross-sections that combine spatial, temporal and structural dimensions. The methodological approach is based on a three-layer architecture – empirical, statistical, and mathematical. In the empirical layer, the primary data are organized in summary tables; in the statistical layer, conditional expectations and probabilistic dependencies are estimated; and in the mathematical layer, functional dependencies, regression models and density estimates are built. Using the five defined cross-sections, the following are analysed: traffic dynamics over time, speed distribution, lane usage..

Библиография

    Издание

    Proc. Int. Sci. Conf. Mechatronic, Eco- and Energy Saving Systems and Technologies (SMEEST), Plovdiv, Bulgaria, Jun. 2026, стр. стр. 301-306, 2026, България, Plovdiv, Proc. Int. Sci. Conf. Mechatronic, Eco- and Energy Saving Systems and Technologies (SMEEST)
    		Autors: Zhekova, M. M., Shopov, M. P.
    Title: Mathematical Models From Cross-Sections Of Primary Traffic Management Data Based On Spatial, Temporal And Structural Dimensions
    Keywords: traffic management systems; traffic analytics; traffic dynamics; traffic dependences; mathematical models

    Abstract: This study examines the development of mathematical and statistical models using primary data from traffic management systems in the municipality of Plovdiv. The data include multidimensional characteristics such as time stamp, direction, speed, lane, vehicle class, weight, and country of registration. The main goal is to transform raw observations into analytical structures with high added value by using cross-sections that combine spatial, temporal and structural dimensions. The methodological approach is based on a three-layer architecture – empirical, statistical, and mathematical. In the empirical layer, the primary data are organized in summary tables; in the statistical layer, conditional expectations and probabilistic dependencies are estimated; and in the mathematical layer, functional dependencies, regression models and density estimates are built. Using the five defined cross-sections, the following are analysed: traffic dynamics over time, speed distribution, lane usage..

    References

      Issue

      Proc. Int. Sci. Conf. Mechatronic, Eco- and Energy Saving Systems and Technologies (SMEEST), Plovdiv, Bulgaria, Jun. 2026, pp. 301-306, 2026, Bulgaria, Plovdiv, Proc. Int. Sci. Conf. Mechatronic, Eco- and Energy Saving Systems and Technologies (SMEEST)

      Вид: пленарен доклад в международен форум, публикация в реферирано издание