Empirical Analysis of Traffic Sensor Data Surrounding a Bottleneck on a German Autobahn
Empirical Analysis of Traffic Sensor Data Surrounding a Bottleneck on a German Autobahn
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DOI：
10.1177/0361198105193400110
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发表时间：
2005
影响因子：
1.7
通讯作者：
R. Bertini;Steven Hansen;K. Bogenberger
中科院分区：
文献类型：
--
作者：
R. Bertini;Steven Hansen;K. Bogenberger
在慕尼黑附近的德国9号高速公路上，研究了交通从自由流动到排队状态和从排队到自由流动状态的演变。通过系统地检查在测量地点之间产生的过量车辆积累和过量旅行时间（延迟），确定了几个瓶颈。研究表明，在繁忙的高速公路上，入口匝道下游反复出现瓶颈。分析工具为累积车辆到达数-时间曲线和累积时间-平均速度-时间曲线。构建这些曲线所需的数据以存档的形式从嵌入高速公路的电感环路探测器中获取。这些累积图经过仔细和系统的转换，以产生必要的分辨率，以揭示交通流特征演变的重要细节。这些高分辨率的转换曲线使得识别与瓶颈激活和失效相关的关键时间相关特征成为可能。
The evolution of traffic from freely flowing to queued conditions and from queued to freely flowing conditions was studied along a 14-km section of German Autobahn 9 near Munich. Several bottlenecks were identified by a systematic examination of the excess vehicle accumulation and excess travel time (delay) that arose between measurement locations. It is shown that a bottleneck arose repeatedly downstream of an on-ramp on a busy freeway. The analysis tools used were curves of cumulative vehicle arrival number versus time and curves of cumulative time-averaged velocity versus time. The data required to construct these curves were available in archived form from inductive loop detectors embedded in the freeway. These cumulative plots were carefully and systematically transformed to produce the resolution necessary to reveal important details of the evolution of traffic flow features. These high-resolution transformed curves have made it possible to identify key time-dependent features related to the activation and deactivation of the bottleneck.