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The Road Regional Hazard Level Evaluation Method Based on Ising Model

机译:基于伊辛模型的道路区域危险性评价方法

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On-road risk assessment is one of the important topics for intelligent vehicles research. Efficiency of risk assessment is affected by lack of on-road vehicles information, which should be solved by The Vehicular Ad-Hoc Network (VANET). In this paper, a regional vehicles hazard level estimation method, which employs Ising model to explain the inter-vehicles relationship, is proposed, an inter-vehicles relationship model is constructed, and corresponding parameters mapping relationship is studied. Then Ising model's energy formula is used to illustrate regional hazard level. Moreover, based on the inter-vehicles relationship, we present an approach to build a regional threat distribution map, which indicates the passing threat of a certain ego-car. A series of experiments are done to examine the efficiency of the proposed method. Experiment results show that the proposed method can produce a reasonable danger evaluation for an ego-car.
机译:道路风险评估是智能车辆研究的重要主题之一。缺乏公路车辆信息会影响风险评估的效率,这应通过车辆自组织网络(VANET)解决。提出了一种基于伊辛模型的车辆间关系预测方法,建立了一种车辆间关系模型,并研究了相应的参数映射关系。然后使用伊辛模型的能量公式来说明区域性危害程度。此外,基于车辆之间的关系,我们提出了一种构建区域威胁分布图的方法,该图表明了某辆自驾车的经过威胁。进行了一系列实验,以检验所提出方法的效率。实验结果表明,所提出的方法可以对电动汽车进行合理的危险性评估。

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