System analysis and modeling of objects, processes and phenomena of transport infrastructure in road traffic control systems
Автор: Golovnin Oleg
Журнал: Известия Самарского научного центра Российской академии наук @izvestiya-ssc
Рубрика: Информатика, вычислительная техника и управление
Статья в выпуске: 6-2 т.20, 2018 года.
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Modern traffic control systems implementation increases traffic flow safety and sustainability. It is important to develop models of transport infrastructure that have the ability to integrate with traffic control systems and allow to take into account the control effects of traffic facilities and environmental effects on traffic flows, their mutual influence on each other, which leads to the need to be considered as semantic (attribute) and spatial characteristics. Thus, the purpose of the work is to simulate objects, processes and phenomena of the transport infrastructure taking into account the spatial and attribute components based on the system analysis methods. The decomposition of the subject area was carried out. Transport infrastructure model is represented by the following sub-models: transport process models, road network, traffic control technical facilities, incidents, roadside objects, and environment. Simulation modeling via ITSGIS using heterogeneous sources of information in identifying models was carried out. Using the proposed models, analytical modeling was carried out based on the hydrodynamic approach to traffic flow simulation: the effect of planned incidents and weather conditions on the road network capacity, the effect of roadside objects on the traffic flow intensity. The use of proposed models of objects, processes and phenomena of transport infrastructure in traffic control systems will allow organizing effective traffic flow control, estimating the change in speed, density, intensity of traffic flows, calculating traffic delays, identifying the formation of queues and congestion caused by various road, organizational and weather factors.
Traffic control, transport infrastructure analysis, traffic flow model
Короткий адрес: https://sciup.org/148314125
IDR: 148314125