Abstract
A model is proposed for the flow of vehicles of different types, with different speeds and driver psychophysiological characteristics. The vehicles are regarded as particles moving in a cellular field according to specific rules. The highway section under consideration is divided into zones characterized by their distance from the end of the section, which is the exit. In a determinate–stochastic approach, the velocity of the vehicle flow is represented as the sum of a determinate component depending on the vehicle’s lane and the zone; and a stochastic component characterized by the mean particle velocity in the cellular field. An algorithm is developed for computing the characteristics of the vehicle flow. The algorithm estimates the probability that the vehicle will be in the required extreme lane when it finishes driving along the section. This probability is a function of the type of vehicle and the lane in which it enters the section. The proposed algorithm is used for a sample computation.
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Yashina, M.V., Tatashev, A.G., Dotkulova, A.S. et al. Model of Traffic Flow with Different Types of Vehicles on Multilane Highway Section Ahead of Exit. Russ. Engin. Res. 42, 1207–1210 (2022). https://doi.org/10.3103/S1068798X22110259
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DOI: https://doi.org/10.3103/S1068798X22110259