雾天高速公路实时交通安全状态评价方法

发布时间：2018-06-23 06:10

本文选题：高速公路 + 实时交通安全状态　；参考：《中国安全科学学报》2017年04期

【摘要】：为量化评价雾天环境中高速公路实时交通安全状态,以雾天高速公路交通观测数据为基础,在VISSIM仿真软件中模拟不同雾天环境下高速公路交通流运行状态,并分析雾天能见度、交通流参数与实时交通安全状态之间的关系;将交通冲突数作为高速公路实时交通安全状态的表征指标,运用随机森林算法确定影响实时交通安全状态的主要因素,并利用回归分析方法建立雾天环境中高速公路实时交通冲突数计算模型;选取美国I-43高速公路交通和气象数据,对雾天实时交通安全状态评价方法进行测试和验证。结果表明,模型计算的交通冲突数与交通事故的发生状态一致,能准确反映雾天交通事故发生前后的交通安全状态。
[Abstract]:In order to quantitatively evaluate the real-time traffic safety state of freeway in foggy weather environment, based on the traffic observation data of fog day expressway, the traffic flow running state of expressway under different fog weather environment was simulated in Visual IM simulation software, and the visibility of fog day was analyzed. The relationship between traffic flow parameters and real-time traffic safety state, the number of traffic conflicts as the representation index of real-time traffic safety state, and the main factors affecting real-time traffic safety state are determined by using stochastic forest algorithm. The real time traffic conflict calculation model of expressway in foggy weather environment is established by regression analysis, and the traffic and meteorological data of I-43 freeway in USA are selected to test and verify the evaluation method of real-time traffic safety state in foggy days. The results show that the number of traffic conflicts calculated by the model is consistent with the occurrence state of traffic accidents and can accurately reflect the traffic safety state before and after traffic accidents in fog weather.
【作者单位】：武汉理工大学智能交通系统研究中心;武汉交通科技研究院有限责任公司;
【基金】：国家自然科学基金资助(51578432) 武汉市青年科技晨光计划资助项目(2016070204010124) 云南省交通运输厅科技计划资助项目(2016A05)
【分类号】：U492.8

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