Estimation of Time-Varying OD Demands Incorporating FCD and RTMS Data

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• 作者：Hui ZHAO ; Lei YU ; Jifu GUO ; Nale ZHAO ; Huimin WEN ; Lin ZHU
• 关键词：urban traffic ; time-varying OD demand estimation ; time-varying splitting rates ; controlling static OD demands estimation ; floating car data (FCD) ; remote traffic microwave sensors (RTMS) data
• 刊名：Journal of Transportation Systems Engineering and Information Technology
• 出版年：2010
• 出版时间：February 2010
• 年：2010
• 卷：10
• 期：1
• 页码：72-80
• 全文大小：430 K

文摘

Time-varying origin-destination (OD) demands are the essential elements in the modeling and evaluation of urban traffic planning and traffic management and control strategies. However, most of existing methodologies in estimating time-varying OD demands are not able to be applied for real-world networks. This paper intends to develop a practical approach to estimate time-varying OD demands incorporating both floating car data (FCD) and remote traffic microwave sensors (RTMS) data. The paper proposes a framework of the methodology which includes two stages. The first stage is to estimate the controlling static OD demands based on RTMS data for the entire modeling period to ensure that the total modeled demands match the total observed demands. The second stage is to modify the controlling static OD demands to ultimately obtain the time-varying OD demands using the resulting time-varying splitting rates by a combined application of FCD and RTMS data. The paper applies the proposed methodology to derive the time-varying OD demands for the Western 3rd Ring-Road corridor network in Beijing, which is shown to be accurate and practical.