考虑实时公交信息的发车频率优化模型研究

Considering Real-time Transit Information in the Frequency Setting Problem

建立以乘客广义出行成本和公交线网运营成本之和最小为目标的公交发车频率优化模型,并将乘客出行前获得的实时公交信息对其出发时刻和出行路径选择的影响融入公交客流分配中,以实现对乘客公交出行行为决策的真实描述。运用改进的遗传算法求解所提出的优化模型。以国内某城市区域内的公交网络为案例,结果表明提出的方法能够在有效控制公交线网运营成本的同时提高公交乘客的整体服务水平,并强调了在规划模型中考虑实时公交信息的必要性。

A model for optimizing bus frequency is presented,which aims to minimize the sum of passenger generalized travel cost and bus network operational cost.A genetic algorithm is developed to solve the frequency optimization model.The example is used to verify the logical rationality and practical feasibility of the proposed method.Results show that the proposed method is able to effectively control the bus network operational cost and improve the overall bus service quality,and emphasize the necessity of considering realtime transit information in planning models.