Zareian, Mohammad Mahdi, Mesbah, Mahmoud, Moradi, Sepehr, Ghatee, Mehdi. (1401). A combined Apriori algorithm and fuzzy controller for simultaneous ramp metering and variable speed limit determination in a freeway. نشریه مهندسی عمران امیرکبیر, 3(2), 237-251. doi: 10.22060/ajmc.2022.21399.1087
Mohammad Mahdi Zareian; Mahmoud Mesbah; Sepehr Moradi; Mehdi Ghatee. "A combined Apriori algorithm and fuzzy controller for simultaneous ramp metering and variable speed limit determination in a freeway". نشریه مهندسی عمران امیرکبیر, 3, 2, 1401, 237-251. doi: 10.22060/ajmc.2022.21399.1087
Zareian, Mohammad Mahdi, Mesbah, Mahmoud, Moradi, Sepehr, Ghatee, Mehdi. (1401). 'A combined Apriori algorithm and fuzzy controller for simultaneous ramp metering and variable speed limit determination in a freeway', نشریه مهندسی عمران امیرکبیر, 3(2), pp. 237-251. doi: 10.22060/ajmc.2022.21399.1087
Zareian, Mohammad Mahdi, Mesbah, Mahmoud, Moradi, Sepehr, Ghatee, Mehdi. A combined Apriori algorithm and fuzzy controller for simultaneous ramp metering and variable speed limit determination in a freeway. نشریه مهندسی عمران امیرکبیر, 1401; 3(2): 237-251. doi: 10.22060/ajmc.2022.21399.1087

A combined Apriori algorithm and fuzzy controller for simultaneous ramp metering and variable speed limit determination in a freeway

AUT Journal of Mathematics and Computing
مقاله 11، دوره 3، شماره 2، آذر 2022، صفحه 237-251    اصل مقاله (538.54 K)
نوع مقاله: Original Article
شناسه دیجیتال (DOI): 10.22060/ajmc.2022.21399.1087
نویسندگان
Mohammad Mahdi Zareian1؛ Mahmoud Mesbah2؛ Sepehr Moradi3؛ Mehdi Ghatee* 3
1Department of Civil Engineering, University of Calgary, Canada
2Department of Civil and Environmental Engineering, Amirkabir University of Technology, Tehran, Iran
3Department of Mathematics and Computer Science, Amirkabir University of Technology, Tehran, Iran
چکیده
This paper proposes an integrated system to control ramps and adjust variable speed limits. It includes three essential modules to predict the starting time of congestion and a fuzzy controller to determine the parameters and a model predictive control. An Apriori algorithm that is a powerful tool for frequent pattern mining is used in the first module. The proposed system is neither sensitive to the traffic distribution nor computationally intensive. Two traffic simulators of Aimsun and CTMSIM are applied to validate the results. Compared with the most recent algorithms, including Gated Recurrent Unit (GRU) and Long Short-Term Memory (LSTM), this system improves prediction accuracy up to 2.63%. The results of ramp metering and variable speed limit subsystems are also promising. The embedded controller shows 0.6% and 4% overall and rush hour improvement in the total travel time.
کلیدواژه‌ها
Data mining؛ Frequent pattern mining؛ Apriori algorithm؛ Ramp metering؛ Variable speed limit
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