Research On Bus Intelligent Dispatching Based On The Data Of Bus IC Card

The rational bus scheduling, which directly affect the efficiency of vehicle resource and the quality of bus lines service, is the key of public transport operation. As the rapid improvement of the information technology, the more optimal bus scheduling methods which exert public transport efficiency can improve public management level, enhance the attractiveness of public transport, and establish an advanced public transport system. Based on public transportation IC card data and data analysis and mining, this paper obtains a relatively real-time traffic information, and applies this information to prepare the bus lane plan, implement the optimizing scheduling scheme and bus intelligent scheduling, improve operational efficiency, and enhance public appeal.Firstly, the bus IC card system is introduced from four aspects:IC card structure, system composition, data collection process and data structure, which help interpret the data sources and data forms. On this basis, this part explains the processing method of IC card data, analyzes the data characteristics over time, and summarizes the travel law of public transit passenger flow by using one-month bus lines IC card data.Secondly, combining city bus basic information and bus GPS positioning data, the calculation method about bus operation data and the bus station of passengers getting on or getting off in, is explained in detail. Specifically, the position determines the specific time of each bus to reach the bus station; the passengers getting on station is marked by using the time period of the selection criteria; then the passenger’s debussing station is constructed by applying the uplink and downlink data to obtain the closed trip chain. These methods provide basic data for the passenger bus scheduling.Finally, based on actual travel data, the author describes the different ways to determine grid spacing. Under reasonable assumptions, a bus scheduling model with departure interval as variable is proposed; this model defines the goal of minimizing the passenger travel time, traffic congestion, and the considerations of the maximum and minimum grid spacing, full rate, balance of payments and other operations. The model emphasizes the passengers’ profits, through improving the level of transit service; and increases the split rate of public transport. The model is solved by several examples, and finally the validity of the model is verified.