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Received 05.08.2022

Revised 17.11.2022

Accepted 15.12.2022

Retrieved from Iss. 112, 2022

Pages 280 -286

  • 131 Views

Suggested citation

Kuzminets, M., & Dubovenko, Yu. (2022). MULTIMODAL SIMULATION OF URBAN OPTIMIZATION ROAD TRAFFIC FOR PERSONNEL-INTENSIVE LARGE-SCALE EVENTS WAR TIME. Automobile Roads and Road Construction, (112), 280-286. https://doi.org/10.33744/0365-8171-2022-112-280-286

MULTIMODAL SIMULATION OF URBAN OPTIMIZATION ROAD TRAFFIC FOR PERSONNEL-INTENSIVE LARGE-SCALE EVENTS WAR TIME

Mykola Kuzminets Yurii Dubovenko

Abstract

In the current conditions, an important issue is the modeling of urban optimization road traffic for personnel-intensive large-scale wartime events. Geoinformation technologies, which combine visualization and intellectual analysis of spatially distributed data, are increasingly used in planning, reconstruction and monitoring of the state of road management. Taking into account the above-mentioned prerequisites, we consider it expedient to investigate, on the basis of world experience, the best alternatives for optimizing the methods of traffic intensity management in a closed compact area with predetermined routes of the main traffic in the city. At the same time, taking into account the cyclical nature of the movement of vehicles under normal conditions and the possibility of its regulation with the help of automated dispatching of the network of traffic lights ("green wave"), we will narrow down the task. Therefore, we will analyze only abnormally high manifestations of traffic, which occur, as a rule, only during the occurrence of extreme events for the city infrastructure with the participation of large masses of people. Such mega-events include religious, cultural and sports events of a global level, public riots and some other events that dramatically disrupt the established practice of using the public road network. It should be noted that such measures often lead to an artificial limitation of the bandwidth of this network for one reason or another, which should be taken into account in the further analysis of possible scenarios. Therefore, the aim of the work is to determine the basic factors for the optimization of traffic in order to distribute large masses of people in given locations and to develop a suitable algorithm for energy- and time-saving traffic management

Keywords:

Passenger flow design, traffic management, transport planning, transport demand, traffic scenarios, route capacity, collective benefit

References

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https://doi.org/10.33744/0365-8171-2022-112-280-286

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