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- W598972692 abstract "Urban expressways play an important role in urban road networks. Although automatic incident detection (AID) methods have been studied for a long time, most of the existing AID algorithms are designed for freeways and not explicitly consider the detection of incidents near ramps under frequent in and out flows. However, urban express ways usually have short spaced on ramps and off ramps, which makes the traffic flow characterizes quite different from the ones of freeways. In addition, expressways usually have heavy traffic flow, which makes it more difficult to distinguish incidents from congestions. This paper presents an automatic incident detection (AID) method for urban expressways, using loop detector data. An expressway is divided into short segments based on detector locations and the geometric conditions. The volume and occupancy data from the loop detectors are used to determine the upstream and downstream density difference for a specific segment. The incident warming is triggered by the significant change of the density difference. An experiment was conducted to investigate the performance of this method, using actual incident data from Shanghai, China. The results indicate that this method has good performance and is suitable for urban expressways." @default.
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- W598972692 date "2011-01-01" @default.
- W598972692 modified "2023-09-23" @default.
- W598972692 title "Urban Expressway Automatic Incident Detection Based on Traffic Flow Density" @default.
- W598972692 hasPublicationYear "2011" @default.
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