Project B2 - 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.本研究旨在依托SHRP2 NDS自然驾驶数据，评估道路作业区的通行机动性。本研究采集了途经道路作业区的受试车辆的前方、后方视角视频及时间序列轨迹，采样间隔为0.1秒。借助上述前方及后方视角视频，可识别道路作业区的多项配置参数，包括交通管控设施、区域类型、动态信息标志（DMS）、智能交通系统技术（ITS）的布设情况，以及作业人员与施工设备的存在状态。此外，可通过观测研究对象周边的车辆数量估算交通密度，并结合实测车速与交通密度计算平均交通流量。基于已构建的车速-流量关系模型，可估算不同路段及配置形式下的道路作业区通行能力，并利用该估算结果对《公路通行能力手册（HCM）》最新增补版所定义的作业区通行能力计算方法进行验证与校准。随后可针对各流量等级估算通行中断概率，并通过流量-通行能力比验证《公路通行能力手册》的相关计算结果。