Modeling Vehicle–Pedestrian Interactions using a Nonprobabilistic Regression Approach
Modeling Vehicle–Pedestrian Interactions using a Nonprobabilistic Regression Approach
复制标题
使用非概率回归方法对车辆与行人交互进行建模
DOI：
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发表时间：
2020
影响因子：
1.7
通讯作者：
D. Noyce
中科院分区：
文献类型：
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作者：
Hiba Nassereddine;Kelvin R. Santiago;D. Noyce
了解车辆驾驶员和行人如何互动是确定提高互动安全性的对策的关键。因此，需要能够评估安全对策和交通控制设备有效性的技术，而无需等待碰撞数据的可用性。使用视频，右转车辆和冲突行人之间的相互作用被记录并使用车辆和行人位置时间戳进行量化。记录的交互故意缩小范围以获得受控数据集。记录的时间戳可以计算诸如完成右转的时间和车辆右转时行人到达关键冲突点的时间等值。创建了解释计算值之间关系的非概率回归模型。该模型描述了右转司机的预期行为：当司机意识到行人有可能与他们同时到达关键冲突点时，他们会改变自己的行为，即使没有完全停下来。这种行为并不奇怪，之前已经在文献中记录过。这项研究的主要贡献是证明，通过分析一组狭窄的相互作用，可以使用非概率线性回归技术开发主要解释右转车辆和行人之间相互作用的清晰而简单的模型。提出模型参数可以用来评估交通控制装置的有效性。
Understanding how vehicle drivers and pedestrians interact is key to identifying countermeasures that improve the safety of the interactions. As a result, techniques that can be used to evaluate the effectiveness of safety countermeasures and traffic control devices without the need to wait for the availability of crash data are needed. Using video, the interactions between right-turning vehicles and conflicting pedestrians were documented and quantified using vehicle and pedestrian position timestamps. Interactions documented were purposely narrow in scope to obtain a controlled dataset. Logged timestamps enabled the calculation of values such as time to complete a right turn and time for a pedestrian to reach a critical conflict point when a vehicle initiated a right turn. A nonprobabilistic regression model explaining the relationship between the calculated values was created. The model described the expected behavior of right-turning drivers: when drivers perceive the possibility of a pedestrian reaching a critical conflict point at the same time as them, they will modify their behavior, even if not coming to a complete stop. This behavior is not a surprise and has been previously documented in the literature. The primary contribution of this research is demonstrating that by analyzing a narrow set of interactions, clear and simple models that mostly explain the interactions between right-turning vehicles and pedestrians can be developed using nonprobabilistic linear regression techniques. An argument is made that the model parameters can be used to evaluate the effectiveness of traffic control devices.
影响因子：
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作者：
Schroeder BJ;Rouphail NM
通讯作者：
Rouphail NM