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首页> 外文期刊>Transportation Research Record >Level-of-Service Model for Pedestrians at Signalized Intersections
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Level-of-Service Model for Pedestrians at Signalized Intersections

机译：信号交叉口行人服务水平模型

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This paper documents a study performed to develop a level-of-service (LOS) model that accurately represents pedestrians' perceptions of crossings at signalized intersections. This model incorporates perceived safety and comfort (i.e., perceived exposure and conflicts) and operations (i.e., delay and signalization). Data for the model were obtained from an innovative Walk for Science field data collection event and video simulations. The data consist of (a) participants' perceptions of safety, comfort, and operations as they walk through selected signalized intersections and (b) the design and operational characteristics of these intersections. The resulting model provides a measure of the pedestrian's perspective on how well an intersection's geometric and operational characteristics meets his or her needs. The pedestrian LOS model for intersections described in this paper is based on Pearson correlation analyses and stepwise regression modeling of approximately 800 combined real-time perceptions (observations) from pedestrians walking a course through signalized intersections in a typical U.S. metropolitan area. The resulting general model for the pedestrian LOS at intersections is highly reliable, has a high correlation coefficient (R~2 = .73) with the average observations, and is transferable to the majority of metropolitan areas in the United States. Primary factors in the pedestrian LOS model for intersections include right-turn-on-red volumes for the street being crossed, permissive left turns from the street parallel to the crosswalk, motor vehicle volume on the street being crossed, midblock 85th percentile speed of the vehicles on the street being crossed, number of lanes being crossed, pedestrian's delay, and presence or absence of right-turn channelization islands.
机译：本文记录了一项旨在开发服务水平（LOS）模型的研究，该模型可准确表示行人对信号交叉口的交叉口的感知。该模型结合了感知的安全性和舒适性（即感知的暴露和冲突）和操作（即延迟和信号通知）。该模型的数据来自创新的Walk for Science现场数据收集事件和视频模拟。数据由（a）参与者经过选定的信号交叉口时对安全性，舒适性和操作的感知以及（b）这些交叉口的设计和操作特性组成。由此产生的模型可以衡量行人对交叉路口的几何和操作特性如何满足其需求的观点。本文所述的十字路口行人LOS模型基于Pearson相关分析和逐步回归模型，该模型对典型的美国大都市区中经过信号交叉口的行人行进路线进行了大约800种组合的实时感知（观察）。由此得出的交叉口行人LOS的通用模型是高度可靠的，与平均观测值具有较高的相关系数（R〜2 = .73），并且可以转移到美国的大多数大都市地区。交叉路口的人行LOS模型中的主要因素包括：正穿过的街道的右转红灯量，平行于人行横道的街道允许的左转弯，正过的街道上的车辆通行量，路口中间85％的速度穿过街道的车辆，穿过的车道数量，行人的延误以及是否存在右转通道化岛。

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