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为提高城市公交服务水平和效率,基于复杂网络理论对公交线网协同调度问题开展研究。通过构建公交线网协同调度换乘复杂网络,以路网换乘点换乘车辆数最大作为优化目标,从路网结构层面提出换乘点换乘权重系数,建立时刻表模型。针对模型的特点,设计了基于遗传算法的求解方法,用算例验证了模型和算法的有效性。
In order to improve the service level and efficiency of urban public transportation, the coordinated scheduling problem of public transportation network is studied based on complex network theory. By constructing a public transportation network coordinated scheduling and transferring to complex networks, taking the maximum number of vehicles transferring from road network to the optimal destination as an optimization objective, a transfer coefficient weight coefficient is proposed from the level of road network structure and a timetable model is established. According to the characteristics of the model, a solution method based on genetic algorithm is designed. The effectiveness of the model and the algorithm is verified by an example.