福建省山区高速公路雾区预警系统研究

发布时间：2018-03-25 17:02

本文选题：高速公路　切入点：雾　出处：《福建农林大学》2013年硕士论文

【摘要】：雾是高速公路上经常遇到的恶劣天气之一，雾造成高速公路能见度的降低，影响驾驶员行驶中的视距。由于高速公路上雾的产生具有突发性，驾驶员不能提前预知雾的相关情况，因此雾天的高速公路极易发生事故。福建省多山且空气湿度大的地理环境造就了每年秋冬季山区的雾天很多。因此，那些在山区穿行的高速公路上极易有雾产生，且容易形成经常有雾产生的雾区。由于雾的产生具有地域性，故福建省山区的雾的形成机理与别的省份和地区不同。研究福建省山区雾与天气因子关系，尝试建立福建山区高速公路雾区预警系统，对雾的生成进行提前预警，提前告知驾驶员和管理部门，以便提前做好预防措施，将有效减少高速公路上因雾引起的交通事故的发生。雾的生成具有复杂的气候条件，即包括大范围的天气气候背景，又受到局部的温度、湿度、风速风向等天气因子的影响。雾的生成是各天气因子间共同作用的结果，且雾与各天气因子之间的关系是复杂的非线性关系。目前对高速公路的雾多采用的方法是监测能见度，在雾生成后采取相应的开启雾灯、诱导交通等措施，而没能实现短时小范围雾区雾的提前预测。本文对福建省山区高速公路雾区的雾进行分析和研究，着重分析了雾与相对湿度、风速之间的关系，指出有雾生成时相对湿度、风速的大致范围。利用近年来比较新颖的支持向量机方法建立预测雾的有无和能见度范围的模型，并用WINSVM软件对模型进行求解，找出最优的预测模型，并以此为基础通过Web等软件技术构建福建省山区雾的预警系统。构建福建省山区雾的预警系统旨在可以根据收集的气象资料预测半小时后的雾情，预知雾区雾的发生，提前提醒驾驶员使其有心理准备。通过预警系统的预警，使高速公路交通管理部门能根据预测情况提前采取相应的雾天交通管理方案，对提高高速公路雾天的通行能力，，减少雾天高速公路交通事故具有重大的社会意义和经济意义。
[Abstract]:Fog is one of the severe weather often encountered on the expressway. Fog causes the visibility of the expressway to be reduced and affects the distance of sight in the driving of the driver. Because of the sudden occurrence of fog on the freeway, Drivers can't predict the fog in advance, so foggy freeways are prone to accidents. The mountainous and humid geographical environment in Fujian Province creates a lot of foggy weather in the mountains in autumn and winter every year. Those passing through mountain highways are prone to fogging and forming foggy areas that are often foggy. Because fog is regional in nature, Therefore, the formation mechanism of fog in mountain areas of Fujian Province is different from that of other provinces and regions. The relationship between fog and weather factors in mountain areas of Fujian Province is studied. To inform drivers and management in advance so as to take preventive measures in advance will effectively reduce the occurrence of traffic accidents caused by fog on the freeway. The formation of fog has complex climatic conditions, that is, it includes a wide range of weather and climate background, and is affected by local weather factors such as temperature, humidity, wind speed and wind direction. The relationship between fog and various weather factors is a complex nonlinear relationship. At present, many methods are used to monitor visibility, to turn on fog lights and to induce traffic after fog is generated. In this paper, the fog in the fog area of mountain highway in Fujian Province is analyzed and studied, the relationship between fog and relative humidity and wind speed is emphatically analyzed, and the relative humidity at the time of fog formation is pointed out. The approximate range of wind speed. Using the new support vector machine method in recent years to establish the model of fog and visibility range, using WINSVM software to solve the model, to find out the best prediction model. Based on this, the early warning system of mountain fog in Fujian Province is constructed by Web and other software technology. An early warning system for fog in mountain areas of Fujian Province can be constructed to predict the fog situation after half an hour based on the collected meteorological data, to predict the occurrence of fog in fog areas, and to alert drivers in advance to make them psychologically prepared. It is of great social and economic significance to make the expressway traffic management department adopt the corresponding traffic management plan in advance according to the forecast situation to improve the traffic capacity and reduce the traffic accidents of foggy days expressway.
【学位授予单位】：福建农林大学
【学位级别】：硕士
【学位授予年份】：2013
【分类号】：U492.8

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