SIMULATION OF THE TRAFFIC PROCESS ON THE MAIN STREET OF VORONEZH IN THE ANY LOGIC SOFTWARE ENVIRONMENT

Dorokhin, Sergey; Likhachev, Dmitry; Artemov, Aleksandr; Marusin, Alexey · 2022 · Crossref

DOI: 10.34220/2311-8873-2022-73-84

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Summary

This study evaluates the effectiveness of the AnyLogic simulation software for modeling traffic processes on a coordinated urban street segment. The research addresses the need for accurate pre-implementation assessment of traffic organization measures, specifically focusing on Leninskiy Prospekt in Voronezh, Russia. While various simulation tools exist, AnyLogic is noted for its accessibility and utility in macro-level traffic modeling. The primary objective was to determine the specific software blocks required to model a coordinated traffic section and to validate the simulation’s accuracy by comparing modeled vehicle delay indicators against real-world data collected from traffic detectors. The methodology involved constructing a simulation model of an 840-meter coordinated section comprising three regulated intersections: Leninskiy Prospekt with Tsiolkovsky Street, Poliny Osipenko Street, and Olkhovy Lane. The model utilized specific AnyLogic blocks, including `Car Source` for vehicle generation, `Select Output` and `Select Output5` for distributing traffic intensity across multiple directions, `Car Move To` for path calculation, and `Traffic Light` for signal control. To measure performance, `TimeMeasureStart` and `TimeMeasureEnd` blocks were employed to calculate vehicle delay times. The simulation focused on the morning peak period (08:00–09:00), incorporating specific traffic intensities for each entry direction. The results presented average delay times for 11 distinct traffic directions within the model, ranging from 31.74 seconds to 166.64 seconds. These modeled values were compared against empirical data obtained from physical traffic detectors installed on the street. The differences between the modeled delays and observed object delays ranged from 0.95 seconds to 29.27 seconds. Statistical analysis using descriptive statistics in Excel at a 95% confidence interval revealed that the mean modeled delay was 104.99 seconds, while the mean observed delay was 116.39 seconds. The study found that the percentage difference between the model and real-world observations did not exceed 10% for the majority of the analyzed directions. The authors conclude that the AnyLogic simulation model demonstrates adequate accuracy for evaluating the efficiency of coordinated traffic sections. The small margin of error between simulated and detected delay times validates the use of the specific block configuration described in the study. This finding supports the application of AnyLogic as a reliable tool for traffic engineers to assess traffic control methods and network efficiency during the design phase, prior to physical implementation. The study confirms that the software can effectively replicate real-world traffic dynamics on complex urban corridors when properly calibrated with local traffic intensity data.

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