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Dynamic Evaluation Model of Urban Public Transport Service Level

机译：城市公共交通服务水平动态评价模型

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摘要

With today's urban public transport system's functions becoming increasingly perfect, how to make the dynamic evaluation of the existing traffic facilities and service based on the card consumption data of bus and the GPS data of taxi or other large data information, whose target is to improve the quality specially has gradually became a major concern to relevant government departments. In view of the given information and data, we make the following work to solve the problem of the topic proposed. We use the vehicle flow rate recognition algorithm and cross section calculation method after successfully importing the original data into MATLAB and making classification by screening in the database. According to the vehicle's GPS data, we finally work out a figure for bus and subway traffic statistics, and furthermore, forecast the citizens-traveling-figure in that city. On this basis, we explore a more intuitive citizens-traveling-histogram. At last, according to the information of time-determained passenger's number, the eventually mapped the entire network section of passenger flow rate information was created to reflect the city traffic flow changes of the different time and space. On the basis of above, added the GPS data and bus brush calorie of consumption data of residents, the matrix of OD was made to help deepen the comprehension.
机译：随着当今城市公共交通系统的功能越来越完善，如何根据总线的卡消费数据和出租车的GPS数据或其他大数据信息进行动态评估现有的交通设施和服务，其目标是提高质量特别逐渐成为相关政府部门的主要关注点。鉴于给定的信息和数据，我们做出以下工作来解决所提出的主题问题。我们使用车辆流量识别算法和横截面计算方法成功将原始数据导入MATLAB并通过筛选数据库进行分类。根据车辆的GPS数据，我们终于为公共汽车和地铁交通统计数据锻炼了一个数字，而且，预测该城市的公民旅游人物。在此基础上，我们探索一个更直观的公民旅行直方图。最后，根据时间确定的乘客号码的信息，最终映射了乘客流量信息的整个网络部分，以反映不同时间和空间的城市交通流量变化。在上面的基础上，增加了居民消费数据的GPS数据和总线刷卡，使OD矩阵有助于加深理解。

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