Science – Future of Lithuania / Mokslas – Lietuvos Ateitis, Vol 7, No 5 (2015)

Vehicles' Sample Generation and Realization in Car-Following Mathematical Models

Algimantas Danilevičius (Vilnius Gediminas Technical University, Lithuania)
Raimundas Junevičius (Vilnius Gediminas Technical University, Lithuania)


The object of the article is the adjustment of car-following mathematical models according to collected traffic data. Here the problem of ineffectively burdened road section is solved by adjusting the speed of vehicles in order to reduce the distance between the cars to a safe distance. The paper analyzes the car-following models to measure the interaction between vehicles in the same lane. Experimental data processed in Matlab and traffic distribution histograms are created using the most appropriate distribution curve. Distribution curve is used to compile congestion scenario of road section. Applicable model uses fundamental diagrams, which are created from the kind of traffic flow measurements. The mathematical model allows to choose the optimal vehicle speed while maintaining safe distance between vehicles, and to make recommendations to improve the traffic as the process.

Article in: Lithuanian

Article published: 2016-02-02

Keyword(s): car-following model; distribution histogram; distribution curve; Matlab; traffic flow.

DOI: 10.3846/mla.2015.820

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Science – Future of Lithuania / Mokslas – Lietuvos Ateitis ISSN 2029-2341, eISSN 2029-2252
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 License.