Assessment of the level of influence of weather conditions on the mode of operation of the regulated intersection

Shevtsova, Anastasia; Kravchenko, Andrey; Vasilyeva, Victoria · 2019 · Crossref

DOI: 10.1051/matecconf/201929800077

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Summary

This paper addresses the optimization of traffic management at regulated intersections by accounting for the influence of weather conditions, specifically temperature and precipitation, on vehicle movement modes. The authors argue that traditional traffic organization often assumes ideal conditions, failing to adapt to environmental changes that significantly impact safety and efficiency. In regions with variable climates, such as the Russian Federation, this lack of adaptation can compromise the balance between safety and traffic flow efficiency. The study aims to establish a quantitative link between ambient temperature, road surface adhesion, and traffic signal control to improve intersection performance. The methodology involves developing a six-stage algorithm that adjusts traffic light cycles based on real-time weather data. First, ambient temperature and humidity are measured. Second, pavement temperature is estimated using climatology data for Belgorod, Russia. Third, the road adhesion coefficient is determined based on eight specific temperature ranges, with coefficients ranging from 0.1 (at –2°C to 0°C) to 0.65–0.7 (above 5°C). Fourth, safety distances are calculated by adjusting vehicle speeds according to adhesion levels (e.g., 20 km/h for an adhesion coefficient of 0.1, up to 60 km/h for 0.5–0.7). Fifth and sixth, dynamic dimensions and basic saturation flows are computed to determine the optimal traffic light coordination program. The algorithm distinguishes between dry and wet conditions, assigning different adhesion coefficients and coordination programs for each temperature bracket. The proposed algorithm was tested via simulation using Aimsun software on a specific X-shaped intersection in Belgorod (Belgorodsky Avenue and Bogdan Khmelnitsky Avenue). The simulation compared the existing fixed traffic light cycle (88 seconds) against the new weather-responsive cycle (90 seconds). The results indicated that implementing the adaptive algorithm reduced the average vehicle delay at the intersection from 71.9 seconds to 65 seconds. This represents an average deviation of 10% in delay reduction. The study found that the new cycle increased the number of vehicles passing through the intersection per cycle while maintaining safety standards appropriate for the prevailing weather conditions. The significance of this work lies in its demonstration that integrating weather-responsive parameters into traffic light control algorithms can enhance both safety and efficiency. By dynamically adjusting signal timing based on adhesion coefficients derived from temperature and precipitation data, traffic managers can mitigate the risks associated with slippery roads while minimizing unnecessary delays. The authors conclude that this approach provides a rational method for optimizing traffic flow at regulated intersections, offering a practical solution for regions experiencing significant seasonal and daily weather variations.

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• roadway lighting effects