Abstract:
The microscopic car-following model with explicit reaction-time delay and several predecessors in interaction is presented. This model is based on the well-known optimal velocity approach. Multi-anticipation and human reaction time allow for the capturing of natural drivers’ behavior when identifying their longitudinal acceleration. The traffic behavior of the proposed model is investigated analytically and numerically. Linear stability on a ring is analyzed by introducing small disturbances into the homogeneous traffic flow. By increasing the number of leaders in interaction, the traffic flow stability is enhanced. As a result, the traffic jams can be reduced by introducing the more front interactions. Behavior of stop-and-go waves and the speed of its propagation are in a good agreement with the observations.
Keywords:
microscopic traffic models, model with multiple predecessors, stability condition, equations with explicit delay.
Citation:
V. V. Kurtc, I. E. Anufriev, D. O. Trufanov, “Multi-anticipative car-following model with explicit reaction-time delay”, Mat. Model., 33:5 (2021), 35–46; Math. Models Comput. Simul., 13:6 (2021), 1109–1115
This publication is cited in the following 2 articles:
Sunita Yadav, Vikash Siwach, Poonam Redhu, Lecture Notes in Civil Engineering, 426, Proceedings of the 7th International Conference of Transportation Research Group of India (CTRG 2023), Volume 2, 2025, 101
M. A. Pogrebnyak, “Traffic flow model”, Math. Models Comput. Simul., 15:3 (2023), 436–444