Dedicated Bus Arterial Coordination Control Based on Particle Swarm Optimization

Buses are a crucial part of urban transportation and are responsible for relieving traffic congestion. However, due to limited road capacity, buses often face problems such as delays and congestion, which can negatively impact the travel experience of citizens. To address these issues, a priority coordination model for dedicated bus arteries has been proposed in this paper. The model aims to minimize per capita passenger delay by adjusting bus speeds and extending green light times. The model takes into account vehicle speed limitations, green light times, and green wave zones, and uses a particle swarm algorithm to obtain optimal solutions for priority coordination control schemes for dedicated lane bus arterials. The reliability of the model was verified using bus operation data from South Qingnian Road in Yantai City, and simulation experiments were conducted in Vissim software to evaluate the performance of the model in real scenarios. The results showed that the proposed model was effective in reducing bus running time on bus arterials, reducing per-passenger delays, and improving the efficiency of bus arterials operations. The model has theoretical and practical implications for reducing per capita delay of bus passengers.