Evaluation of Work Zone Mobility by Utilizing Naturalistic Driving Study Data

The purpose of this research is to evaluate work zone mobility using SHRP2 NDS naturalistic driving data. In this study, forward, rear-view video, and time series traces for traversed work zones are collected at 0.1 second intervals. Using the forward and rear-ward videos work zone configurations such as traffic control devices, area types, presence of dynamic message signs (DMS), intelligent transportation systems technologies (ITS), as well as the presence of workers and equipment are identified. These videos are also used for estimating traffic density by observing the number of vehicles surrounding the participant, and average traffic flow by observed speed and traffic density. The capacities of different work zone sections and configurations are estimated based on developed speed-flow relationships and this capacity is used to verify and calibrate the work zone capacity method defined by the newest addition of Highway Capacity Manual (HCM). The probability of breakdown is then estimated for each level of flow rates and volume to capacity ratios can be used to verify the results of HCM.本研究旨在利用SHRP2自然驾驶研究（SHRP2 NDS）的自然驾驶数据，评估作业区的通行机动性。本研究以0.1秒的采样间隔，采集了驶过作业区的前方视屏、后方视屏及时间序列轨迹数据。借助前方与后方视屏数据，可识别作业区配置信息，包括交通管控设施、区域类型、动态信息标志（Dynamic Message Signs，DMS）、智能运输系统技术（Intelligent Transportation Systems，ITS）的布设情况，以及作业人员与工程设备的存在状态。同时，通过观测受试车辆周边的车辆数量估算交通密度，并结合观测得到的行驶速度与交通密度估算平均交通流量。基于构建的速度-流量关系模型，可估算不同作业区路段及配置的通行能力，并利用该通行能力对最新版《道路通行能力手册》（Highway Capacity Manual，HCM）新增的作业区通行能力计算方法进行验证与校准。随后，针对各流量水平估算通行中断概率，并可通过流量-容量比验证《道路通行能力手册》的相关研究结果。