Research on the speed mode of vehicles in dedicated lanes

TT.
2025;
: 9-22
Received: August 28, 2025
Accepted: November 10, 2025
1
Lviv Polytechnic National University
2
Lviv Polytechnic National University

The issue of changing the speed mode for vehicles in dedicated lanes for public transport is discussed in the paper. Several arterial streets in Lviv were selected to analyze this concept. The study assesses the impact of various factors, such as traffic volume and composition, on road traffic efficiency. It has been found that in areas with dedicated lanes for public transport, there is a reduction in delays and an increase in traffic capacity. It has also been established that the allocation of dedicated lanes improves the reliability of bus and trolleybus services, which has a positive impact on adherence to transport schedules. The results showed virtually no significant traffic delays on streets with dedicated lanes for public transport. It ensures unobstructed movement of public transport even in conditions of high traffic volume, which is typical for urban environments. A decrease in traffic flow speed was observed mainly in areas located near intersections, pedestrian crosswalks, parked cars, and other objects that can affect the overall traffic dynamics. It has been established that the minimum speeds for private and public transport lanes are almost identical – the difference does not exceed 10 km/h. The data obtained confirms the feasibility of expanding the network of dedicated lanes within the city, especially in areas with high passenger traffic.

Simulation modeling was performed for each studied section using the PTV VISSIM software package. During the experiment, the traffic volume gradually increased by 10%, 20%, 30%, 40%, and 50% from the initial values. It allowed us to assess how the increase in the number of vehicles affects key traffic parameters, particularly the travel time on the studied section, average speed, and maximum queue length. The results obtained were also compared with actual field observations, which confirmed the reliability of the model and its suitability for further research into transport processes.. The results obtained can contribute to improving urban transport infrastructure, which, in turn, will help reduce delays and increase traffic efficiency in areas with high traffic loads.