Adaptive Control Model for Bus Priority at an Intersection Based on Speed Guidance

This paper proposes an adaptive control model for bus priority at an intersection based on speed guidance to minimize the average waiting time per passenger at the intersection, This method further satisfies the demand for real-time priority for buses at the intersection with different volume scenarios. The relationship between bus speed and signal timing parameters is established, and the simultaneous optimization of the intersection signal timing scheme and bus speed guidance scheme is realized by taking into account the real-time volume of the intersection approach and the real- time operation status of buses. To lower the computational complexity of the model and increase its speed of solution, the phase sequence of the intersection is represented by the 0-1 decision variable. The effectiveness of the model is confirmed by simulation experiments. When compared to the comparison schemes for the three different traffic volume scenarios, the proposed model can reduce average bus delays by at least 17.86%, 12.04%, and 8.81%, average bus stops by 21.82%, 17.86%, and 17.74%, and average passenger waiting times by 24.56%, 8.03%, and 3.38% . Furthermore, the model's solution time for different traffic scenarios is less than 0.01 seconds, which is a significant reduction in computing time when compared to the traditional models and further satisfies the real-time bus priority calculation efficiency requirements. The proposed model can meet the requirement for model optimization rate in the networked environment while simultaneously achieving bus priority and lowering the average waiting time per passenger at intersections without compromising the overall intersection and social vehicle efficiency. © 2024 Science Press. All rights reserved.