论文标题
评估新泽西州道路上的连接车辆数据覆盖
Assessing Connected Vehicle Data Coverage on New Jersey Roadways
论文作者
论文摘要
连接的车辆数据（CVD）是最有前途的移动性数据之一，可大大提高有效监视运输系统性能的能力。评估了商用车轨迹数据集的市场渗透和覆盖范围，以确定它是否代表了新泽西州全州道路网络中车辆量的足够样本。将数据集（正式命名为Wejo车辆移动数据）与在相应的两个月期间从46重量（WIM）交通计数站获得的车辆量进行了比较。在州际高速公路，非隔离高速公路，主要动脉和次要动脉的运动数据的观察到的市场渗透率为2.55％（Std。Dev。0.76％），2.31％，2.31％（Std。1.07％），3.25％，3.25％（标准偏差1.48％），和4.39％（标准偏差）（标准偏差为2.65％）。此外，还发现数据集的时间分辨率（即，在给定的道路部分捕获的连续Wejjo车辆旅行之间的时间间隔，日期变化，月份变化）也被发现在评估的WIM位置之间是一致的。尽管相对较低（小于5％），但一致的市场渗透，结合了交通流量中配备的车辆的均匀空间分布，可以启用或增强广泛的交通分析应用程序。
The connected vehicle data (CVD) is one of the most promising emerging mobility data that greatly increases the ability to effectively monitor transportation system performance. A commercial vehicle trajectory dataset was evaluated for market penetration and coverage to establish whether it represents a sufficient sample of the vehicle volumes across the statewide roadway network of New Jersey. The dataset (officially named Wejo Vehicle Movement data) was compared to the vehicle volumes obtained from 46 weight-in-motion (WIM) traffic count stations during the corresponding two-month period. The observed market penetration rates of the Movement data for the interstate highways, non-interstate expressways, major arterials, and minor arterials are 2.55% (std. dev. 0.76%), 2.31% (std. dev. 1.07%), 3.25% (standard deviation 1.48%), and 4.39% (standard deviation 2.65%), respectively. Additionally, the temporal resolution of the dataset (i.e., the time interval between consecutive Wejo vehicle trips captured at a given roadway section, time-of-day variation, day-of-month variation) was also found to be consistent among the evaluated WIM locations. Although relatively low (less than 5%), the consistent market penetration, combined with uniform spatial distribution of equipped vehicles within the traffic flow, could enable or enhance a wide range of traffic analytics applications.
