浮动车数据质量对拥堵识别的影响

IF 2.1 4区 工程技术 Q3 TRANSPORTATION European Journal of Transport and Infrastructure Research Pub Date : 2020-10-01 DOI:10.18757/EJTIR.2020.20.4.5304
Wolfgang Blumthaler, Bartosz Bursa, M. Mailer
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引用次数: 1

摘要

本文探讨了混合质量的浮动车数据(FCD)在高速公路拥堵分析中的可用性。我们正在调查的具体数据质量方面是轨迹的数量和密度、GPS间隔和车队代表性。我们使用了德国汽车俱乐部ADAC提供的数据集,该数据集涵盖了2016年的蒂罗尔公路网。从该数据集中提取了A12高速公路沿线的轨迹,用于拥堵分析。这些数据的特点是GPS时间间隔高,轨迹数量少,并且由于卡车的代表性过高,不能代表总交通量。通过分析不同拥塞类型之间的参数分布,探讨了这些质量参数对拥塞识别的影响。此外,我们通过将结果与从静止探测器数据(SDD)中获得的拥堵事件进行比较,并检查质量参数对验证结果的影响,来验证结果。我们发现,由于质量缺陷,给定的数据集不允许识别短期拥塞模式。特别是低数量的轨迹被证明是有问题的,而其他参数的影响则不那么明显。尽管存在这些缺陷,但对于大规模拥堵事件,浮动汽车数据提供的结果与固定探测器得出的结果相似。
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Influence of floating car data quality on congestion identification
This paper explores the usability of floating car data (FCD) of mixed quality in congestion analysis on motorways. The specific data quality aspects that we are investigating are the number and density of trajectories, the GPS interval, and the fleet representativeness. We use a dataset provided by the German Automobile Club ADAC covering the Tyrolean road network in 2016. From this dataset, trajectories along the A12 motorway were extracted for congestion analysis. These data are characterized by high GPS time interval, low number of trajectories, and are not representative for total traffic due to overrepresentation of trucks. The influence of these quality parameters on congestion identification is explored by analyzing the parameter distribution among different congestion types. In addition, we validate the results by comparing them with congestion incidents obtained from the stationary detector data (SDD) and examining the impact of quality parameters on the validation results. We find that the given data set does not allow short-term congestion patterns to be identified due to quality flaws. Especially the low number of trajectories proved problematic, whereas the influence of other parameters was less distinct. Despite these flaws, for large-scale congestion incidents, floating car data provide outcomes similar to those derived from stationary detectors.
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来源期刊
CiteScore
3.80
自引率
0.00%
发文量
0
审稿时长
30 weeks
期刊介绍: The European Journal of Transport and Infrastructure Research (EJTIR) is a peer-reviewed scholarly journal, freely accessible through the internet. EJTIR aims to present the results of high-quality scientific research to a readership of academics, practitioners and policy-makers. It is our ambition to be the journal of choice in the field of transport and infrastructure both for readers and authors. To achieve this ambition, EJTIR distinguishes itself from other journals in its field, both through its scope and the way it is published.
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