Abstract: Focusing on the problem of cooperative control of public transport priority in multi-intersection of the regional road network, this paper proposes a degraded modeling strategy and establishes a multi-intersection traffic signal collaborative optimal control model for the goal of minimizing passenger per-capita delay based on the strategy. By introducing the chaos optimization strategy and multi-group cooperative search strategy, this paper presents a multi-group cooperative chaotic particle swarm optimization algorithm for solving the model. The experiments show that the proposed model and algorithm have good practicability. Compared with the Webster fixed timing scheme, the genetic algorithm and the standard particle swarm algorithm, the proposed algorithm can get better signal timing scheme which can effectively reduce the per-capita delay.

Key words: Bus priority, PSO, collaborative optimal control, regional road network, traffic signal

摘要： 针对区域路网多交叉口公交优先通行协同控制问题，提出了一种区域路网降级建模策略，并基于此策略建立了一种以人均延误最小为目标的区域路网多交叉口交通信号协同优化控制模型；并通过引入混沌优化策略和多种群协同搜索策略，提出了多种群协同混沌粒子群算法求解模型。实验表明，所提出的模型和算法具有较好的实用性；所提算法相较于Webster固定配时方案、遗传算法和标准粒子群算法能得到更优的信号配时方案，区域路网的人均延误时间得到了有效降低。

关键词: 公交优先, 粒子群算法, 协同优化控制, 区域路网, 交通信号