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The Expressway Traffic Sign Information Volume Threshold and AGS Position Based on Driving Behaviour

机译:基于驾驶行为的高速公路交通标志信息量阈值和AGS位置

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Reasonable traffic signs are important for ensuring operation safety and efficiency of expressways. The overloaded information of the traffic signs and improper distance ahead of the signs present serious problems, for they may raise the driver's visual cognition burden, reduce expressway operation efficiency and cause potential safety hazards. This paper aims at developing design criteria of traffic sign information volume and reasonable AGS positions with regard to driving behavior and traffic safety. The relationship among driving behavior, traffic sign information and AGS positions has been studied based upon driving simulation tests in this paper. The information of traffic signs is processed and quantified with the method of information entropy under the framework of information theory. According to traffic flow theory and a mathematical model of vehicle lane change, AGS positions are analyzed and reasonable positions are recommended in relation to the operation conditions on multi-lane expressways. During the simulation tests, drivers aged 20-40 with 2-10 year driving experience were invited for the tests and asked to drive along the designed expressway scenes. The driver's visual behavior was monitored with an eye tracking system and data of driving behavior and the vehicle running tracks were also collected during the simulation tests. The relationship model between traffic sign information volume, AGS position and driving behavior parameters was developed as a result of further data mining, analysis and synthesis. Eventually, a multidimensional indicator of expressway sign information volume threshold has been proposed and reasonable AGS positions on multi-lane expressways are determined.
机译:合理的交通标志对于确保高速公路的运营安全和效率至关重要。交通标志的超载信息和标志前方的不适当距离带来了严重的问题,因为它们可能增加驾驶员的视觉认知负担,降低高速公路的运营效率并造成潜在的安全隐患。本文旨在针对交通行为和交通安全制定交通标志信息量和合理的AGS位置的设计标准。基于驾驶模拟测试,研究了驾驶行为,交通标志信息和AGS位置之间的关系。在信息论的框架下,采用信息熵的方法对交通标志信息进行处理和量化。根据交通流理论和车道变更数学模型,分析了AGS位置,并针对多车道高速公路的运行条件推荐了合理的位置。在模拟测试中,邀请了具有2-10年驾驶经验的20-40岁的驾驶员进行测试,并要求他们沿着设计的高速公路场景行驶。通过眼睛跟踪系统监控驾驶员的视觉行为,并在模拟测试过程中收集驾驶行为和车辆行驶轨迹的数据。通过进一步的数据挖掘,分析和综合,建立了交通标志信息量,AGS位置和驾驶行为参数之间的关系模型。最终,提出了高速公路标志信息量阈值的多维指标,并确定了多车道高速公路上合理的AGS位置。

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