Automatic Incident Detection for Urban Roads in Hong Kong
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概要
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In this paper, two models are proposed for automatic incident detection on urban roads in Hong Kong. The first model is the threshold-based incident detection model, adopting the ratio of predicted speed over estimated speed as the detection criterion. The second model is established on a basis of the discriminant analysis. These two models are evaluated, in terms of detection rate, false alarm rate and mean time to detect, under different pre-incident traffic conditions (represented as level of service), using the traffic data from a real-time travel information system in Hong Kong. Also, the impacts of level of service on the model detection performance are specified and quantified in this study. The empirical results indicate that the pre-incident traffic conditions (congested or non-congested) may significantly affect the detection performance of models.
著者
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TAM Mei
Department of Civil and Environmental Engineering, The Hong Kong Polytechnic University
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YE Dao
Department of Civil and Structural Engineering The Hong Kong Polytechnic University
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LAM William
Department of Civil and Structural Engineering, The Hong Kong Polytechnic University
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LAM William
Department of Civil and Structural Engineering The Hong Kong Polytechnic University
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LAM William
Department of Civil and Environmental Engineering, The Hong Kong Polytechnic University
関連論文
- Transport Management and Land Value
- Automatic Incident Detection for Urban Roads in Hong Kong
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- Validation of ATIS Journey Time and Traffic Speed Estimates by Floating Car Survey
- MULTI-MODAL NETWORK DESIGN: SELECTION OF PEDESTRIANISATION LOCATION