An approach to traffic flows intensity calculating in the organization of groundtransportation in the area of emergency response based on the Earth remote sensing data

M. A. Skvaznikov, D. L. Kolygin
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Abstract

When carrying out emergency recovery work to eliminate the consequences of an emergency, it is necessary to promptly provide information on the state of transport infrastructure facilities, which is possible only when using aerospace survey data. The aim of the study is to increase the efficiency of transportation in the emergency zone using heterogeneous vehicles under the conditions of synchronization of its movement, based on the use of Earth remote sensing data. Data source analysis for traffic flow modeling was carried out. Land transportation typical network graph description is presented. The dependences of the intensity of traffic flows along the edges of the network graph on traffic conditions, infrastructure characteristics and loading and unloading operations, parameters of wheeled, tracked vehicles and railway cars are revealed. It is proposed to use the minimax criterion when calculating the maximum traffic flow intensity along the network graph path and the entire transport network capacity. Based on the analysis of the tasks of monitoring the state of transport infrastructure facilities, the possibility of using Earth remote sensing data to reveal damage and flooding in the emergency zone was assessed. Based on the simulation modeling results of the ground transportation organization in the area of emergency response based on the Earth remote sens-ing data, the applicability of the proposed approach to the traffic flows intensity calculating based on the Earth remote sensing data was confirmed.
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基于地球遥感数据的应急区域地面交通组织中交通流强度计算方法
在开展紧急恢复工作以消除紧急情况的后果时,必须及时提供关于运输基础设施状况的信息,而这只有在使用航空航天调查数据时才有可能做到。本研究的目的是在使用地球遥感数据的基础上,在其运动同步的条件下,使用异构车辆提高应急区域的运输效率。进行了交通流建模的数据源分析。给出了陆地交通典型网络图描述。揭示了沿网络图边缘的交通流强度与交通条件、基础设施特征、轮式、履带车辆和轨道车辆的装卸作业、参数的依赖关系。在计算沿网络图路径的最大交通流强度和整个运输网络容量时,提出了使用极小极大准则。在对监测运输基础设施状况任务进行分析的基础上,评估了利用地球遥感数据揭示紧急区域的破坏和洪水的可能性。通过基于地球遥感数据的应急响应区域地面交通组织仿真建模结果,验证了该方法在基于地球遥感数据的交通流强度计算中的适用性。
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