基于可达性的公交网络分层优化

Accessibility-oriented hierarchical optimization of public transport network

为促进公共交通的发展,从可达性的角度对城市常规公交网络优化方法进行了研究。对各层公交网络分别提出不同的优化模型:快线层以直达客流密度最大为目标函数;普线层以乘客总出行阻抗最小为目标函数;支线层则以线网覆盖率最大为目标函数。并对各层模型约束条件的取值范围分别进行了研究。采用蚁群算法,对公交网络进行了优化布设。借助Matlab软件,对所提出的优化方法和算法进行了验证。研究结果表明:该方法具有一定的可行性和合理性。

In order to promote the development of public transportation, the optimization method of urban public transit network is studied from the perspective of accessibility. Different optimization models are proposed for each layer of bus network： The express line layer is the objective function with the maximum passenger flow density,the general line layer is the objective function with the minimal passenger travel impedance,and the feeder layer is the objective function with the maximum network coverage, and the range of the constraint conditions of each layer model is studied, respectively. The ant colony algorithm is used to optimize the layout of the public transport network. With the help of Matlab software programming, the optimization method and algorithm are verified by an example, which proves that it has certain feasibility and rationality.