Development and calibration of the Anisotropic Mesoscopic Simulation model for uninterrupted flow facilities

Yi-Chang Chiu, Liang Zhou and Houbing Song

Transportation Research Part B: Methodological, 2010, vol. 44, issue 1, 152-174

Abstract: This paper presents the development, analysis, and calibration of the Anisotropic Mesoscopic Simulation (AMS) model for uninterrupted flow facilities, such as freeways. The proposed AMS model is a vehicle-based mesoscopic traffic simulation approach that explicitly considers the anisotropic property of traffic flow into the vehicle state update at each simulation step. The advantage of AMS is its ability to address a variety of uninterrupted flow conditions in a relatively simple, unified and computationally efficient manner. The discussions focus on the key modeling concepts, the analytical properties and numerical analysis, and the calibration process and results. The addressed analytical properties are the overtaking conditions, acceleration and deceleration rate bounds, and shockwaves. The numerical analysis includes both freeway segments as well as merging junctions. Considerable efforts were devoted to employ the Next-Generation Simulation (NGSIM) program datasets to calibrate the AMS model parameters. The high traffic fidelity and satisfactory computational efficiency make AMS a promising simulation approach for large-scale regional dynamic traffic simulation and assignment.

Keywords: Mesoscopic; Traffic; simulation; Anisotropic; Dynamic; traffic; assignment; Speed; Influencing; Region (search for similar items in EconPapers)
Date: 2010
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Citations: View citations in EconPapers (6)

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