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首页> 外文会议>COTA international conference of transportation professionals >A Study on Highway Corridor Traffic State Identification Based on Data Fusion of DSRC Data and ETC Data
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A Study on Highway Corridor Traffic State Identification Based on Data Fusion of DSRC Data and ETC Data

机译：基于DSRC数据与ETC数据融合的公路走廊交通状态识别研究

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摘要

Traffic state identification is an important part in real-time traffic management and intelligent transportation systems (ITS) applications, which is conventionally based on the available single dataset from traffic sensors such as loop detector, microwave detector, video camera, Bluetooth detector, etc. An accurate profile of the traffic state on highway corridor in terms of speed and density is expected to be a critical factor for supporting traffic management measures. Data fusion techniques are nowadays applied to ITS to improve efficiency and safety of highways. As more and more ETC and DSRC data can be obtained, a method of analyzing traffic status with the datasets gained from ETC via DSRC is expected. In this paper, the DSRC was firstly large scaled installed and applied as a traffic detector along Jingcheng Highway, and the data from DSRC based detector and tolling data were used to identify the traffic state along this corridor. A data fusion method was developed in order to consider both space and time effects was proposed. The results indicated that the DSRC detector could be a promising way to collect traffic data and represent the traffic state on the network with ETC data.
机译：交通状态识别是实时交通管理和智能交通系统（ITS）应用程序中的重要组成部分，该应用程序通常是基于来自交通传感器（例如环路探测器，微波探测器，摄像机，蓝牙探测器等）的可用单个数据集。在速度和密度方面，高速公路走廊上交通状态的准确分布有望成为支持交通管理措施的关键因素。如今，数据融合技术已应用于ITS，以提高高速公路的效率和安全性。随着可以获取越来越多的ETC和DSRC数据，人们期望有一种通过DSRC从ETC获得的数据集来分析交通状况的方法。在本文中，首先将DSRC大规模安装并应用于京城高速公路上的交通检测器，然后将基于DSRC的检测器的数据和收费数据用于识别该走廊的交通状态。为了同时考虑时空效应，提出了一种数据融合方法。结果表明，DSRC检测器可能是一种收集流量数据并用ETC数据表示网络流量状态的有前途的方法。

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