Development and evaluation of an effective sequential approach for dynamic accident duration forecasting

Ying Lee, Chien Hung Wei

研究成果: Chapter

摘要

This study creates a sequential approach to represent the dynamic update forecast of accident duration. This procedure includes two Artificial Neural Network-based models. Model A is used to forecast the duration time at the instant of accident notification while Model B provides multi-period updates of duration time after the moment of accident notification. These two models together provide a sequential forecast of accident duration from the accident notification to the accident site clearance. With these two models, the estimated duration time can be provided by plugging in relevant traffic data as soon as an incident is reported. This study shows very promising practical applicability of the proposed models in the Intelligent Transportation Systems context.

原文English
主出版物標題Road Traffic
主出版物子標題Safety, Modeling and Impacts
發行者Nova Science Publishers, Inc.
頁面347-365
頁數19
ISBN(電子)9781616680039
ISBN(列印)9781604568844
出版狀態Published - 2009 1月 1

All Science Journal Classification (ASJC) codes

  • 工程 (全部)

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