金华市公共交通车辆运行管理数据

金华市公共交通车辆运行管理数据作为金华市公共交通系统的核心关键数据，依托金华市公交集团智能调度监控系统的软件和硬件设备实时采集和监测公共交通车辆的发车和运行数据，可应用于如下场景：一、公交车辆行驶实时管控。利用公交车的GPS经纬度数据掌握车辆定位信息，便于驾驶路线偏离的判定。二、第三方地图软件的公交服务，将车辆运行管理数据集成至地图软件中，为公众提供公交车实时查看和到站提示等服务。1、数据采集：从金华市智能调度监控系统实时采集金华市内公共交通车辆的发车队列信息、站点到站信息、轨迹信息、里程信息等数据；2、数据处理：对采集到的数据按照车辆路线进行汇总、分类、清洗，对GPS定位数据进行结构化转化，形成可加工的数据集合；3、数据加工：采用Haversine算法对公交车辆的经纬度数据进行路线偏离可信度计算，首先计算两个点之间经度差的弧度值=（经度-平均经度）/π*180；再次计算两个点之间纬度差的弧度值=（经度-平均经度）/π*180；最后利用Haversine算法计算偏离的可信度=1-（经度差的弧度值+纬度差的弧度值）/AVG（经度差的弧度值+纬度差的弧度值），其实AVG表示平均值。4、数据应用：通过计算并分析某一班次公交车辆的路线偏离可信度的大小，分析该班次公交车辆的路线运行情况，偏离可信度在（0.95,1.05）之间为车辆运行正常范围；偏离可信度在0.95以下或1.05以上的为存在车辆偏离，需重新调整车辆到站的时间预判。

The operation and management data of public transport vehicles in Jinhua City is the core key data of Jinhua's public transport system. Collected and monitored in real time via the software and hardware equipment of the intelligent dispatching and monitoring system of Jinhua Bus Group, this dataset covers the departure and operation data of public transport vehicles, and can be applied to the following scenarios:
1. Real-time management of public transport vehicle operation: Use the GPS longitude and latitude data of buses to obtain vehicle positioning information, which facilitates the identification of driving route deviations.
2. Public transport services for third-party map applications: Integrate vehicle operation and management data into map software to provide the public with services such as real-time bus status inquiry and arrival alerts.

1. Data Collection: Collect real-time data including departure queue information, station arrival information, trajectory information, and mileage information of public transport vehicles within Jinhua City from the intelligent dispatching and monitoring system of Jinhua Bus Group;
2. Data Processing: Summarize, classify, and clean the collected data according to vehicle routes, and perform structured conversion on GPS positioning data to form a processable dataset;
3. Data Algorithm Processing: Use the Haversine algorithm to calculate the route deviation credibility of public transport vehicles based on their longitude and latitude data. First, calculate the radian value of the longitude difference between two points: (longitude - average longitude) / π * 180; then calculate the radian value of the latitude difference between two points: (longitude - average longitude) / π * 180; finally, use the Haversine algorithm to calculate the deviation credibility: 1 - (radian value of longitude difference + radian value of latitude difference) / AVG(radian value of longitude difference + radian value of latitude difference), where AVG represents the average value.
4. Data Application: Calculate and analyze the route deviation credibility of a single bus trip to evaluate the vehicle's route operation status. When the deviation credibility is within the range of (0.95, 1.05), the vehicle is operating normally; when the deviation credibility is below 0.95 or above 1.05, the vehicle has deviated from the route, and the arrival time prediction needs to be readjusted.

搜集汇总

数据集介绍

特点

金华市公共交通车辆运行管理数据包含6481条记录，涵盖公交车辆的GPS定位、速度、方向等26个字段，用于实时管控和地图服务。数据通过Haversine算法计算路线偏离可信度，确保车辆运行正常。