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首页> 外文期刊>Journal of Intelligent Transportation Systems >Evaluation and augmentation of traffic data including Bluetooth detection system on arterials
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Evaluation and augmentation of traffic data including Bluetooth detection system on arterials

机译：在动脉中的蓝牙检测系统包括蓝牙检测系统的评估和增强

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摘要

Recently, traffic agencies have implemented Bluetooth detection systems (BDS) on arterials to collect traffic data and purchased data from private sector companies such as HERE, INRIX, and TomTom for real-time traffic monitoring and long-term traffic system management and performance evaluation. However, the quality and reliability of the aforementioned two data sources are subject to rigorous evaluation. This study utilized high-resolution GPS trajectory to evaluate data from private sector, HERE and BDS of a principal arterial corridor in Orlando, FL, USA. The results showed that the accuracy and reliability of BDS data are better than private sector data on the study corridor, which might be credited to a better presentation of the bimodal traffic flow pattern on signalized arterials. In order to improve the quality of private sector data, information about bimodal traffic flow was extracted by a finite mixture model from historical BDS data and incorporated with the real-time private sector data by a Bayesian inference framework. The evaluation of the augmented data showed that the augmentation framework is effective for the most part of the corridor except for segments highly influenced by traffic from or to the expressway ramps where evaluation datasets might have some bias.
机译：最近，交通机构在动脉上实施了蓝牙检测系统（BDS），以收集来自私营部门公司的交通数据和购买的数据，例如这里，inrix和Tomtom进行实时交通监控和长期交通系统管理和绩效评估。然而，上述两个数据源的质量和可靠性受到严格的评估。本研究利用高分辨率GPS轨迹来评估来自美国奥兰多的主要动脉走廊的私营部门的数据。结果表明，BDS数据的准确性和可靠性优于研究走廊的私营部门数据，这可能是在最佳地呈现信号化动脉上的双峰交通流量模式。为了提高私营部门数据的质量，通过历史BDS数据的有限混合物模型提取有关双峰交通流量的信息，并通过贝叶斯推理框架与实时私营部门数据结合。对增强数据的评估表明，除了从商业流量或高速公路坡道受到高度影响的区段，增强框架对于大部分地区来说，增强框架是有效的，评估数据集可能有一些偏见。

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