关键词: 城市交通, 动态优化, 公交网络调整, 数据驱动决策

Abstract:

In order to meet the variable demand of bus transit and improve the efficiency of operation, this paper proposes a data- driven dynamic transit network optimization method- rolling decision, frequency priority, iterating of generating and deleting routes. The method consists of two parts: the first part is the decision making of data-driven optimization timing; the second part is the decision making of optimization adjustment measures, which including the departure frequency optimization and the bus network structure optimization. The specific idea of this method is that through data modeling and analysis on the current transit network, the system determines whether to take optimization adjustment of transit network on time. If the network needs to be optimized, the system optimizes the frequency of transit lines with priority. If not, it should optimize the structure of the transit network by iterating generating and deleting routes. The example analysis shows that this method can make full use of the data collected by the Intelligent Public Transit System, and the operation is convenient. Finally, it can provide decision reference for dynamic transit network optimization.

Key words: urban traffic, dynamic optimization, transit network adjustment, data-driven decision making