Modelling of Highway Traffic Using a Triangular Fundamental Diagram with Hybrid Petri Net Continue
Publish Year: 1404
نوع سند: مقاله ژورنالی
زبان: English
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شناسه ملی سند علمی:
JR_IJE-38-10_015
تاریخ نمایه سازی: 26 فروردین 1404
Abstract:
This paper focuses on creating a macroscopic traffic flow model that describes crucial traffic dynamics: density, traffic flow, and average speed. Changes in traffic flow dynamics are captured through a simplified macroscopic traffic flow model with a triangular shape, which allows the system to respond quickly to developments in real-world conditions. The triangular shape model is called the Triangular Fundamental Diagram (TFD), which represent substantial traffic condition namely free-flow, equilibrium flow, and congested flow conditions. This research employs Hybrid Petri Net (HPN) Continue and the SimHPN simulator to develop the TFD model. Subsequently, the TFD-HPN Continue model is applied to a case study involving traffic on the Pasteur highway. The paper successfully introduces a macroscopic traffic flow model, TFD, and pairs it with the HPN Continue approach to simulation. The simulation results showed that the differences between the TFD-HPN Continue model and the MFD model are as follows: Kcrit by ۱.۸۷%, qmax by ۰.۷۴%, and Kjam by ۰.۱۲%. In summary, the TFD-HPN Continue model demonstrates its ability to resemble real-world traffic dynamics through its application to the Pasteur highway case.
Keywords:
Macroscopic model , Highway traffic , Triangular Fundamental Diagram , Hybrid Petri Net Continue , Simulation analysis
Authors
H. Luthfiyah
Research Center for Transportation Technology, National Research and Innovation Agency, Serpong, Indonesia
A. S. Yunata
Research Center for Electronics, National Research and Innovation Agency, Serpong, Indonesia
M. S. Harjono
Research Center for Transportation Technology, National Research and Innovation Agency, Serpong, Indonesia
A. Halim
Department of Electrical Engineering, Faculty of Engineering, Universitas Indonesia, Depok, Indonesia
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