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Modeling lateral interferences between motor vehicles and non-motor vehicles: A survival analysis based approach

机译:建模机动车与非机动车之间的横向干扰:基于生存分析的方法

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Mixed traffic consisting of motor vehicles and non-motor vehicles has a significant impact on traffic efficiency and safety. Aiming at analyzing the interaction between motor vehicles and non-motor vehicles, a lateral interference model based on survival analysis approach is proposed. The trajectory data for motor vehicles and non-motor vehicles are acquired from video capture and processed with coordinate conversion. The lateral interference between the motor vehicle and the non-motor vehicle is analyzed by the relation between reference probability and lateral distance. The shortest distance which is able to cause lateral interference is defined as critical distance and will be discussed quantitatively. The results show motor vehicle drivers and non-motor vehicle drivers endow different sensitivities to the lateral interference. The motor vehicle drivers are inclined to keep longer lateral distance to non-motor vehicles, while the non-motor vehicle drivers accept shorter lateral distance. Also the sensitivity of bicycle riders in avoiding lateral interference is greater than that of the electric bicycle riders. This study attempts to provide a more comprehensive and profound understanding of the safety behavior in mixed traffic circumstances. (C) 2015 Elsevier Ltd. All rights reserved.
机译:由机动车辆和非机动车辆组成的混合交通对交通效率和安全性有重大影响。为了分析机动车与非机动车之间的相互作用,提出了一种基于生存分析的横向干扰模型。从视频捕获中获取机动车辆和非机动车辆的轨迹数据,并通过坐标转换对其进行处理。通过参考概率与横向距离之间的关系来分析机动车辆与非机动车辆之间的横向干扰。能够引起横向干扰的最短距离被定义为临界距离,并将对其进行定量讨论。结果表明,机动车辆驾驶员和非机动车辆驾驶员对横向干扰具有不同的敏感性。机动车驾驶员倾向于与非机动车保持更长的横向距离,而非机动车驾驶员则接受较短的横向距离。而且,骑自行车的人在避免侧向干扰方面的灵敏度比电动自行车的骑手更高。这项研究试图对混合交通情况下的安全行为提供更全面和深刻的理解。 (C)2015 Elsevier Ltd.保留所有权利。

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