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DataSet

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etc数据/高速etc数据数据.json 0 → 100644
{
{
"name": "高速etc数据数据",
"source": "实验室组内数据",
"url": "xxx",
"description": "不停车收费系统又称作电子收费系统（Electronic Toll Collection, ETC）是指利用车辆自动识别（Automatic Vehicle Identification, AVI）技术完成车辆与收费站之间的无线数据通讯，进行车辆自动识别和有关收费数据的交换，通过计算机网络进行收费数据的处理，实现不停车自动收费的全电子收费系统。ETC 收费系统中包含大量诸如入口、出口、标识站、时间、车型、车牌等车辆通行的序列数据信息。利用这些历史数据能够挖掘出很多实际应用，如找出车辆通行规律，准确预测车辆的后续通行路径，并从中检测出异常的通行路径。利用高速公路ETC 收费数据实现多维统计分析，为多维交通量构建预测模型，从而实现 ETC 交通量的多维预测。",
"data": [
{
"name": "Type",
"type": "xxx",
"comment": "交易类型"
},
{
"name": "Id",
"type": "xxx",
"comment": "交易编号"
},
{
"name": "chargeTime",
"type": "xxx",
"comment": "记账时间"
},
{
"name": "fee",
"type": "xxx",
"comment": "交易金额"
},
{
"name": "weight",
"type": "xxx",
"comment": "重量"
},
{
"name": "enTollLaneId",
"type": "xxx",
"comment": "入口车道编号"
},
{
"name": "enTime",
"type": "xxx",
"comment": "入口交易时间"
},
{
"name": "passCardId",
"type": "xxx",
"comment": "通行卡id号"
},
{
"name": "cardId",
"type": "xxx",
"comment": "用户卡编号"
},
{
"name": "terminalTransNo",
"type": "xxx",
"comment": "PSAM脱机交易流水号"
},
{
"name": "OBUId",
"type": "xxx",
"comment": "OBU编号"
},
{
"name": "enVehicleId",
"type": "xxx",
"comment": "入口实际收费车辆车牌号码+颜色"
},
{
"name": "exVehicleId",
"type": "xxx",
"comment": "出口实际收费车辆车牌号码+颜色"
},
{
"name": "identifyVehicleId",
"type": "xxx",
"comment": "出口识别的车牌号码+颜色"
},
{
"name": "enVehicleType",
"type": "xxx",
"comment": "入口收费车辆类型"
},
{
"name": "exVehicleType",
"type": "xxx",
"comment": "出口收费车辆类型"
},
{
"name": "sectionCount",
"type": "xxx",
"comment": "拆分路段数量"
},
{
"name": "splitTime",
"type": "xxx",
"comment": "拆分时间"
},
{
"name": "greenTraffic",
"type": "xxx",
"comment": "是否是绿通车"
},
{
"name": "TAC",
"type": "xxx",
"comment": "TAC码"
},
{
"name": "transType",
"type": "xxx",
"comment": "交易类型标识"
},
{
"name": "terminalNo",
"type": "xxx",
"comment": "终端机编号"
},
{
"name": "preBalance",
"type": "xxx",
"comment": "卡交易前余额"
},
{
"name": "postBalance",
"type": "xxx",
"comment": "卡交易后余额"
},
{
"name": "identification",
"type": "xxx",
"comment": "开票标识"
},
{
"name": "payType",
"type": "xxx",
"comment": "支付类型"
}
]
}
\ No newline at end of file
公交地铁/北京市地铁公交刷卡记录.json 0 → 100644
{
{
"name": "北京市地铁公交刷卡记录",
"source": "实验室组内数据",
"url": "xxx",
"description": "城市公共交通一卡通（简称“公交一卡通”）作为近年来在公共交通领域发展非常迅速的一种便捷的支付工具得到了广泛的应用和发展。公交1C卡刷卡数据SCD作为一种大规模的具有地理标识(Geo一tagged)和时间标签的数据,可以用于城市空间结构的研究与分析。而SCD具有连续型好、覆盖面广、信息全面且动态更新等优点,因此在城市研究中具有较好的可应用型。庞大的数据量隐含着巨大的经济政治价值，以往小范围的数据统计模式已经满足不了现代化公共交通信息应用建设的需要，大数据的挖掘技术不仅可以从各方面掌握大量的数据信息，还能对有价值、有意义的数据进行全面的分析与处理，从数据中挖掘出潜在的内在价值，用于支持企业的决策、交通政策法规的制定、市民出行的咨询服务。",
"data": [
{
"name": "ID",
"type": "xxx",
"comment": "数据编号"
},
{
"name": "user_ID",
"type": "xxx",
"comment": "用户ID"
},
{
"name": "type",
"type": "xxx",
"comment": "交通工具类型"
},
{
"name": "inter_change_info",
"type": "xxx",
"comment": "换乘信息"
},
{
"name": "get_on_time",
"type": "xxx",
"comment": "上车时间"
},
{
"name": "get_on_station",
"type": "xxx",
"comment": "上车站点"
},
{
"name": "src_longitude",
"type": "xxx",
"comment": "起点经度"
},
{
"name": "src_latitude",
"type": "xxx",
"comment": "起点纬度"
},
{
"name": "src_id",
"type": "xxx",
"comment": "起点编号"
},
{
"name": "get_off_time",
"type": "xxx",
"comment": "下车时间"
},
{
"name": "get_off_station",
"type": "xxx",
"comment": "下车站点"
},
{
"name": "dst_longitude",
"type": "xxx",
"comment": "终点经度"
},
{
"name": "dst_latitude",
"type": "xxx",
"comment": "终点纬度"
},
{
"name": "dst_id",
"type": "xxx",
"comment": "终点编号"
}
]
}
\ No newline at end of file
共享单车/共享单车数据.json 0 → 100644
{
{
"name": "共享单车数据",
"source": "实验室组内数据",
"url": "xxx",
"description": "在大数据时代，随着互联网的快速发展，共享经济的浪潮卷席着各行各业，为解决城市居民出行“最后一公里”的痛点，绿色环保经济的单车共享服务应运而生. 共享单车，以人为本的城市复兴。摩拜单车作为当前主流的共享单车平台，在许多城市已成为仅次于出租车、地铁、公交的第四大公共出行方式。 因其具备GPS定位功能，可实现动态监测车辆，可通过网络爬虫技术获取骑行大数据，其位置信息体现了用户的活动范围、聚集、活动轨迹等内容，对用户出行行为特征及热点区域挖掘有潜在的价值。通过分析共享单车的行驶轨迹，可以发现区域人口流动的主要特征，探究城市的功能与活力，注重科学规划。共享单车骑行大数据为城市慢行系统环境改善及用地规划提供数据支撑，利用骑行数据挖掘居民出行规律，希望能为单车投放、优化调度提供有效指引，从而提升共享单车的使用效率，完善单车与多种公共交通接驳，让城市规划更加智慧，更好地推动城市绿色交通发展。",
"data": [
{
"name": "ORDERCODE",
"type": "xxx",
"comment": "订单编号"
},
{
"name": "COMPANYID",
"type": "xxx",
"comment": "企业标识"
},
{
"name": "BICYCLEID",
"type": "xxx",
"comment": "车辆编码"
},
{
"name": "LOCKID",
"type": "xxx",
"comment": "锁编码"
},
{
"name": "ORDERTIME",
"type": "xxx",
"comment": "下单时间"
},
{
"name": "STARTIME",
"type": "xxx",
"comment": "租车时间"
},
{
"name": "ENDTIME",
"type": "xxx",
"comment": "还车时间"
},
{
"name": "START_LNG",
"type": "xxx",
"comment": "租车地经度"
},
{
"name": "START_LAT",
"type": "xxx",
"comment": "租车地纬度"
},
{
"name": "END_LNG",
"type": "xxx",
"comment": "还车地经度"
},
{
"name": "END_LAT",
"type": "xxx",
"comment": "还车地纬度"
},
{
"name": "UNITPRICE",
"type": "xxx",
"comment": "单价（元）"
},
{
"name": "ORDER_KM",
"type": "xxx",
"comment": "订单里程"
},
{
"name": "ORDER_ STATUS",
"type": "xxx",
"comment": "订单状态"
},
{
"name": "BRI_DATE",
"type": "xxx",
"comment": "出生年月"
},
{
"name": "GENDER",
"type": "xxx",
"comment": "性别"
}
]
}
\ No newline at end of file
出租车/出租车数据.csv 0 → 100644
generate_date,generate_time,city_code,car_id,longitude,latitude,speed,angle,car_type,passenger_status,is_sat_valid,gps_rcv_time
generate_date,generate_time,city_code,car_id,longitude,latitude,speed,angle,car_type,passenger_status,is_sat_valid,gps_rcv_time
20180731,235957,BJJYJ,194176,116.107088,39.955243,0,128,3,1,1,2018-08-01 00:00:04;
20180731,235957,BJJYJ,480788,116.161328,39.927748,0,0,3,1,1,2018-08-01 00:00:04;
20180731,235957,BJJYJ,487105,116.419552,39.939898,0,0,0,1,1,2018-08-01 00:00:04;
20180731,235957,BJJYJ,487156,116.828,40.378237,0,0,3,1,1,2018-08-01 00:00:04;
20180731,235957,BJJYJ,153628,116.621897,40.043165,29,172,0,1,1,2018-08-01 00:00:04;
20180731,235957,BJJYJ,564457,116.279565,39.830443,0,326,0,1,1,2018-08-01 00:00:04;
20180731,235957,BJJYJ,489381,115.931767,39.602197,1,82,2,1,1,2018-08-01 00:00:04;
20180731,235957,BJJYJ,194707,116.240652,39.61781,0,0,2,1,1,2018-08-01 00:00:04;
20180731,235957,BJJYJ,403180,116.316917,40.040772,0,0,0,1,1,2018-08-01 00:00:04;
20180731,235957,BJJYJ,194129,116.506632,39.93786,57,70,1,1,1,2018-08-01 00:00:04;
20180731,235957,BJJYJ,63174,116.258985,40.136938,0,0,1,1,1,2018-08-01 00:00:04;
20180731,235957,BJJYJ,153634,116.503598,40.007727,0,0,3,1,1,2018-08-01 00:00:04;
20180731,235957,BJJYJ,431453,116.212137,40.56916,2,358,3,1,1,2018-08-01 00:00:04;
20180731,235957,BJJYJ,235415,116.03959,39.620687,63,244,0,1,1,2018-08-01 00:00:04;
20180731,235957,BJJYJ,174730,116.106613,39.931633,53,166,1,1,1,2018-08-01 00:00:04;
20180731,235957,BJJYJ,495057,116.427458,39.940053,20,264,0,1,1,2018-08-01 00:00:04;
20180731,235957,BJJYJ,164331,116.605563,39.921245,0,0,3,1,1,2018-08-01 00:00:04;
20180731,235956,BJJYJ,174973,116.153935,39.75632,0,0,0,1,1,2018-08-01 00:00:04;
20180731,235957,BJJYJ,164831,116.454805,39.90167,40,178,1,1,1,2018-08-01 00:00:04;
20180731,235957,BJJYJ,194381,116.525408,40.038115,0,0,3,1,1,2018-08-01 00:00:04;
20180731,235957,BJJYJ,194319,116.397112,39.710518,0,0,3,1,1,2018-08-01 00:00:04;
20180731,235957,BJJYJ,487204,116.00829,39.68326,0,0,3,1,1,2018-08-01 00:00:04;
20180731,235956,BJJYJ,194293,116.085623,39.66918,0,138,3,1,1,2018-08-01 00:00:04;
20180731,235957,BJJYJ,495349,116.311977,39.973318,44,162,1,1,1,2018-08-01 00:00:04;
20180731,235957,BJJYJ,486554,116.228253,40.0853,0,0,3,1,1,2018-08-01 00:00:04;
20180731,235957,BJJYJ,164462,116.352107,40.088273,0,0,3,1,1,2018-08-01 00:00:04;
20180731,235957,BJJYJ,426345,116.090755,39.99719,0,0,3,1,1,2018-08-01 00:00:04;
20180731,235957,BJJYJ,194685,115.945725,39.673507,0,0,3,1,1,2018-08-01 00:00:04;
20180731,235957,BJJYJ,489529,116.104257,39.818318,0,0,3,1,1,2018-08-01 00:00:04;
20180731,235957,BJJYJ,204901,116.455027,39.875248,59,0,1,1,1,2018-08-01 00:00:04;
20180731,235957,BJJYJ,489464,116.374605,39.920205,0,142,3,1,1,2018-08-01 00:00:04;
20180731,235957,BJJYJ,136194,116.671548,39.734003,0,0,3,1,1,2018-08-01 00:00:04;
20180731,235957,BJJYJ,431105,116.494875,39.94712,31,356,0,1,1,2018-08-01 00:00:04;
20180731,235957,BJJYJ,194795,116.54831,39.692182,0,0,3,1,1,2018-08-01 00:00:04;
20180731,235957,BJJYJ,403290,116.62848,39.615837,0,0,3,1,1,2018-08-01 00:00:04;
20180731,235956,BJJYJ,254118,116.061853,39.721578,0,270,0,1,1,2018-08-01 00:00:04;
20180731,235957,BJJYJ,214282,116.488145,39.909622,21,270,0,1,1,2018-08-01 00:00:04;
20180731,235957,BJJYJ,66834,116.598382,39.678483,0,0,2,1,1,2018-08-01 00:00:04;
20180731,235957,BJJYJ,486340,116.989128,40.259947,0,0,3,1,1,2018-08-01 00:00:04;
20180731,235957,BJJYJ,232462,116.310613,39.907517,0,176,0,1,1,2018-08-01 00:00:04;
20180731,235957,BJJYJ,426483,116.521445,39.84687,24,6,0,1,1,2018-08-01 00:00:04;
20180731,235957,BJJYJ,431174,115.930488,39.593022,0,0,3,1,1,2018-08-01 00:00:04;
20180731,235957,BJJYJ,194390,116.115668,39.72206,0,0,2,1,1,2018-08-01 00:00:04;
20180731,235957,BJJYJ,194789,116.092953,39.8858,0,154,3,1,1,2018-08-01 00:00:04;
20180731,235957,BJJYJ,431054,116.170622,39.85276,0,0,3,1,1,2018-08-01 00:00:04;
20180731,235957,BJJYJ,194299,115.915515,39.638547,0,0,3,1,1,2018-08-01 00:00:04;
20180731,235957,BJJYJ,486280,116.048678,39.975152,0,118,3,1,1,2018-08-01 00:00:04;
20180731,235957,BJJYJ,403763,116.42647,40.027467,0,30,1,1,1,2018-08-01 00:00:04;
20180731,235957,BJJYJ,254120,116.309608,39.98298,0,262,0,1,1,2018-08-01 00:00:04;
20180731,235957,BJJYJ,431584,116.437237,39.922265,63,104,1,1,1,2018-08-01 00:00:04;
20180731,235957,BJJYJ,214067,116.591365,40.013027,37,306,0,1,1,2018-08-01 00:00:04;
20180731,235957,BJJYJ,68804,116.05453,39.968117,0,0,3,1,1,2018-08-01 00:00:04;
20180731,235957,BJJYJ,129324,116.30245,39.895138,40,268,1,1,1,2018-08-01 00:00:04;
20180731,235957,BJJYJ,431548,115.89655,39.631603,0,0,3,1,1,2018-08-01 00:00:04;
20180731,235957,BJJYJ,164787,116.09395,39.678438,0,0,3,1,1,2018-08-01 00:00:04;
20180731,235957,BJJYJ,254112,116.302315,40.078353,0,0,3,1,1,2018-08-01 00:00:04;
20180731,235957,BJJYJ,194067,116.07923,39.945503,0,0,3,1,1,2018-08-01 00:00:04;
20180731,235957,BJJYJ,194352,116.077962,39.630952,0,0,3,1,1,2018-08-01 00:00:04;
20180731,235957,BJJYJ,194089,115.942658,39.630583,0,0,3,1,1,2018-08-01 00:00:04;
20180731,235957,BJJYJ,489322,116.046212,39.9747,0,0,3,1,1,2018-08-01 00:00:04;
20180731,235957,BJJYJ,199554,116.274927,39.651618,0,0,2,1,1,2018-08-01 00:00:04;
20180731,235957,BJJYJ,199497,117.028303,40.567078,0,0,3,1,1,2018-08-01 00:00:04;
20180731,235957,BJJYJ,489463,116.421233,39.803923,0,114,3,1,1,2018-08-01 00:00:04;
20180731,235948,BJJYJ,185134,116.373043,39.975087,0,0,3,1,1,2018-08-01 00:00:04;
20180731,235954,BJJYJ,140779,116.387702,39.8661,0,308,2,1,1,2018-08-01 00:00:04;
20180731,235957,BJJYJ,489583,116.260208,39.929653,0,0,3,1,1,2018-08-01 00:00:04;
20180731,235957,BJJYJ,156416,116.470487,39.891833,59,90,1,1,1,2018-08-01 00:00:04;
20180731,235957,BJJYJ,194417,115.963642,39.612872,0,0,3,1,1,2018-08-01 00:00:04;
20180731,235957,BJJYJ,174763,116.633918,40.19117,0,0,3,1,1,2018-08-01 00:00:04;
20180731,235957,BJJYJ,141823,116.433922,39.67034,0,322,2,1,1,2018-08-01 00:00:04;
20180731,235957,BJJYJ,162411,116.434223,39.897838,66,104,1,1,1,2018-08-01 00:00:04;
20180731,235956,BJJYJ,487141,115.978753,39.70555,0,0,3,1,1,2018-08-01 00:00:04;
20180731,235957,BJJYJ,492260,116.266892,39.868907,0,0,0,1,1,2018-08-01 00:00:04;
20180731,235957,BJJYJ,96545,116.500555,40.0037,83,218,3,1,1,2018-08-01 00:00:04;
20180731,235957,BJJYJ,251451,116.488165,39.914493,35,266,0,1,1,2018-08-01 00:00:04;
20180731,235957,BJJYJ,480786,115.96841,40.447982,0,0,3,1,1,2018-08-01 00:00:04;
20180731,235948,BJJYJ,431176,116.374527,39.921453,0,0,3,1,1,2018-08-01 00:00:04;
20180731,235957,BJJYJ,68924,116.100803,39.88604,0,0,3,1,1,2018-08-01 00:00:04;
20180731,235957,BJJYJ,403543,116.290625,40.212872,0,0,3,1,1,2018-08-01 00:00:04;
20180731,235957,BJJYJ,37174,116.675322,40.276315,0,0,3,1,1,2018-08-01 00:00:04;
20180731,235957,BJJYJ,185974,116.323942,40.044852,0,0,3,1,1,2018-08-01 00:00:04;
20180731,235957,BJJYJ,487147,116.099547,39.736487,0,114,3,1,1,2018-08-01 00:00:04;
20180731,235957,BJJYJ,151048,115.80631,39.582687,0,0,3,1,1,2018-08-01 00:00:04;
20180731,235957,BJJYJ,156994,116.375455,39.898713,0,264,0,1,1,2018-08-01 00:00:04;
20180731,235958,BJJYJ,214102,116.420443,39.906958,0,86,1,1,1,2018-08-01 00:00:04;
20180731,235957,BJJYJ,403582,116.076332,39.984248,0,0,3,1,1,2018-08-01 00:00:04;
20180731,235957,BJJYJ,403332,116.829035,40.378662,0,0,3,1,1,2018-08-01 00:00:04;
20180731,235957,BJJYJ,235416,116.26782,40.11831,0,210,3,1,1,2018-08-01 00:00:04;
20180731,235957,BJJYJ,403058,116.004897,39.817267,0,0,3,1,1,2018-08-01 00:00:04;
20180731,235956,BJJYJ,431585,116.455408,39.906918,19,94,1,1,1,2018-08-01 00:00:04;
20180731,235957,BJJYJ,431588,116.297723,39.89559,29,88,0,1,1,2018-08-01 00:00:04;
20180731,235956,BJJYJ,174794,116.349865,39.949655,0,0,3,1,1,2018-08-01 00:00:04;
20180731,235957,BJJYJ,194724,116.076253,39.631775,0,0,3,1,1,2018-08-01 00:00:04;
20180731,235956,BJJYJ,174793,116.393608,39.62214,0,0,3,1,1,2018-08-01 00:00:04;
20180731,235957,BJJYJ,214250,116.280067,39.846618,0,0,3,1,1,2018-08-01 00:00:04;
20180731,235957,BJJYJ,431258,116.246823,40.278648,0,0,3,1,1,2018-08-01 00:00:04;
20180731,235957,BJJYJ,488107,116.121178,40.0006,0,0,0,1,1,2018-08-01 00:00:04;
20180731,235957,BJJYJ,570488,116.47175,39.87812,24,82,1,1,1,2018-08-01 00:00:04;
20180731,235957,BJJYJ,431517,116.556915,39.908588,38,268,0,1,1,2018-08-01 00:00:04;
20180731,235957,BJJYJ,426104,116.363077,40.010047,0,0,3,1,1,2018-08-01 00:00:04;
出租车/北京市出租车GPS数据.json 0 → 100644
{
{
"name": "北京市出租车GPS数据",
"source": "实验室组内数据",
"url": "xxx",
"description": "随着城市智能交通化的普及，科学技术的快速发展，交通数据的获得途径更加广泛，目前国内大部分城市出租车己经安装GPS设备。目前，GPS技术己广泛应用于交通管理领域。出租车车载GPS设备在车辆运营过程中，按照系统设定时间间隔将出租车的运营时间、车牌号、位置坐标、行驶角度、瞬时速度及出租车空重载状态传至出租车管理中心，生成出租车状态信息，每条信息详细记录了出租车运营情况，信息中心对出租车车载GPS设备采集的数据完成存储、定位及调度管理等服务。出租车GPS数据具有覆盖面广、维度高及数据量大的特点，可以实现出租车行驶状态实时动态采集，能够很好的反应出租车出行需求时空分布特性，也成为地理信息系统、智能交通及行为地理学等多个领域的研宄热点。随着出租车车载GPS设备的安装与普及，国内外学者利用出租车GPS数据研究出租车的出行规律与运营状态，主要包括出租车出行时空分布特征研宄和出租车供需水平的研究。",
"data": [
{
"name": "generate_date",
"type": "xxx",
"comment": "数据生成日期"
},
{
"name": "generate_time",
"type": "xxx",
"comment": "数据生成时间"
},
{
"name": "city_code",
"type": "xxx",
"comment": "城市代码"
},
{
"name": "car_id",
"type": "xxx",
"comment": "车辆ID"
},
{
"name": "longitude",
"type": "xxx",
"comment": "经度"
},
{
"name": "latitude",
"type": "xxx",
"comment": "纬度"
},
{
"name": "speed",
"type": "xxx",
"comment": "车速"
},
{
"name": "angle",
"type": "xxx",
"comment": "角度"
},
{
"name": "car_type",
"type": "xxx",
"comment": "车辆类型"
},
{
"name": "passenger_status",
"type": "xxx",
"comment": "乘客状态"
},
{
"name": "gps_rcv_time",
"type": "xxx",
"comment": "卫星状态"
}
]
}
\ No newline at end of file
北京POI/POI数据.csv 0 → 100644
NAME,TYPE,LON,LAT,TYPE_NUMBER
NAME,TYPE,LON,LAT,TYPE_NUMBER
公共厕所,公共设施,116.629359,41.003937,1
雾灵浩宇度假村,体育休闲服务,117.429676,40.631066,2
北京知青食堂,餐饮服务,116.462506,40.68397,3
中共下德龙湾村支部委员会,政府机构及社会团体,116.395685,40.69722,4
北京市延庆县沙梁子中心小学,科教文化服务,116.456585,40.710907,5
停车场,交通设施服务,116.460192,40.682429,6
加油站(千家店镇人民政府经济发展办公室东),汽车服务,116.352411,40.694382,7
停车场,交通设施服务,116.459631,40.69738,6
夏都顺祥惠百(韩立国店),购物服务,116.452218,40.68917,8
燕山书院售票处,生活服务,116.46453,40.68378,9
千家店镇下湾村党支部,政府机构及社会团体,116.463879,40.686678,4
千家店镇下湾村民委员会,政府机构及社会团体,116.463878,40.686678,4
延庆县千家店镇河南村村民委员会,政府机构及社会团体,116.354579,40.692627,4
中共延庆县千家店镇河南村村支部委员会,政府机构及社会团体,116.354577,40.69263,4
千家店作业组,公司企业,116.353062,40.694532,10
千家店公路服务站,公司企业,116.353062,40.694531,10
公共厕所,公共设施,116.456656,40.706909,1
雾灵仙界,体育休闲服务,117.428909,40.631729,2
万寿行宫,风景名胜,117.158392,40.689723,11
天一客栈,住宿服务,117.163854,40.687984,12
密云县古北口镇人大,政府机构及社会团体,117.163771,40.691688,4
中共古北口镇委员会,政府机构及社会团体,117.163771,40.691687,4
金水湾,住宿服务,117.206391,40.645962,12
大星发超市(东庄禾店),购物服务,117.232988,40.611612,8
雾灵山森林公园(北门),风景名胜,117.422141,40.646511,11
北京雾灵祥隆度假山庄,体育休闲服务,117.427184,40.641318,2
红果寺,风景名胜,116.347918,40.561388,11
珍珠泉,风景名胜,116.424195,40.556105,11
北京农商银行(永宁支行珍珠泉分理处),金融保险服务,116.419881,40.557264,13
延庆县珍珠泉中心小学,科教文化服务,116.424205,40.556113,5
北京市一路好运加油站,汽车服务,117.323154,40.638847,7
新城子俊义卫生室,医疗保健服务,117.332084,40.640968,14
马场村委会,政府机构及社会团体,117.26488,40.621871,4
乡村月庄,餐饮服务,117.327769,40.637965,3
司马台饭庄,餐饮服务,117.261616,40.646999,3
塔沟村委会,政府机构及社会团体,117.279234,40.591944,4
瑞华小吃,餐饮服务,117.330417,40.638516,3
中共新城子镇委员会,政府机构及社会团体,117.334728,40.644052,4
密云县新城子镇人大,政府机构及社会团体,117.334728,40.644053,4
司马聚堡饭庄,餐饮服务,117.261953,40.646558,3
青年宾馆,住宿服务,117.276454,40.653937,12
密云县新城子镇人民政府,政府机构及社会团体,117.334728,40.644053,4
龙聚堂餐厅,餐饮服务,117.273341,40.653515,3
巴各庄村村委会,政府机构及社会团体,117.301128,40.636477,4
雾灵山森林公园,风景名胜,117.436785,40.630302,11
南湾民俗村,体育休闲服务,116.371829,40.544852,2
西沟里自然风景区,风景名胜,116.362137,40.523089,11
苗梁小学,科教文化服务,116.424206,40.556114,5
水泉子小学,科教文化服务,116.424186,40.556091,5
龙泉堡民俗旅游合作社,餐饮服务,116.413154,40.531579,3
北京市延庆县四海镇人民政府,政府机构及社会团体,116.413287,40.531548,4
中国石化四海古海城加油站,汽车服务,116.414435,40.531552,7
珍珠泉山庄,体育休闲服务,116.421678,40.556976,2
香满浓餐厅,餐饮服务,116.412177,40.528954,3
心甜餐厅,餐饮服务,116.225483,40.567156,3
神潭,风景名胜,116.681811,40.535462,11
祥隆度假山庄,体育休闲服务,117.425004,40.638517,2
北京雾灵山吧草地婚礼会所,住宿服务,117.436786,40.630011,12
北京雾灵峰度假村,体育休闲服务,117.424917,40.638569,2
千叠溪风景区,风景名胜,117.429158,40.637349,11
欧亚风情园,体育休闲服务,117.429681,40.631112,2
雾灵溪谷度假村,体育休闲服务,117.430874,40.630496,2
司马台长城售票处,生活服务,117.277401,40.654434,9
北京市怀柔区宝山镇西帽山党支部,政府机构及社会团体,116.514752,40.685303,4
北京市怀柔区宝山镇西帽山村委会,政府机构及社会团体,116.514748,40.685303,4
齐仙岭,风景名胜,116.500755,40.6456,11
日月秀玉水产品商店,购物服务,116.162729,40.528674,8
西关胖利餐厅,餐饮服务,116.154806,40.52666,3
永宁中心市场,购物服务,116.162252,40.529079,8
振先农家餐厅,餐饮服务,116.160665,40.528352,3
永宁会友饭馆,餐饮服务,116.162865,40.528698,3
明清堂,购物服务,116.166066,40.526134,8
双顺源商店,购物服务,116.160378,40.52832,8
中国联通(延庆永宁营业厅),生活服务,116.171497,40.525672,9
永宁万兴建材商店,购物服务,116.15756,40.527709,8
永禄综合商店,购物服务,116.164201,40.529246,8
延庆永宁中学,科教文化服务,116.174158,40.525651,5
老沪州延庆总代理,购物服务,116.155564,40.52692,8
永吉兴熟肉部,餐饮服务,116.165669,40.527238,3
延庆县刘斌堡乡红果寺村民委员会,政府机构及社会团体,116.325027,40.550843,4
中共刘斌堡乡红果寺村党支部,政府机构及社会团体,116.325025,40.550844,4
爱华大厦,商务住宅,116.295797,40.526948,15
富强民俗餐厅,餐饮服务,116.482041,40.584446,3
小川村村委会,政府机构及社会团体,116.500225,40.632515,4
中共小川村支部委员会,政府机构及社会团体,116.500225,40.632515,4
北京绿岸养殖,公司企业,116.587803,40.598785,10
365日梨文化主题公园,风景名胜,116.929443,40.560709,11
365日梨文化主题公园(北门),风景名胜,116.92946,40.560916,11
燕落古城址,风景名胜,116.961554,40.564244,11
北京市怀柔区琉璃庙镇人民政府,政府机构及社会团体,116.651694,40.627182,4
中共琉璃庙镇纪律检查委员会(琉璃庙镇后勤事务管理中心北),政府机构及社会团体,116.65167,40.62719,4
琉璃庙派出所,政府机构及社会团体,116.650824,40.627608,4
春来饭馆,餐饮服务,116.653465,40.629603,3
北京农商银行(琉璃庙分理处),金融保险服务,116.650843,40.627598,13
杨公子山庄,餐饮服务,116.65193,40.628093,3
琉璃庙中心小学,科教文化服务,116.649712,40.62909,5
琉璃庙120急救站,医疗保健服务,116.650532,40.629775,14
北京澳洲红酒庄园,体育休闲服务,117.169275,40.692746,2
中国石化古北口加油站,汽车服务,117.16615,40.691514,7
北京POI/北京市POI数据.json 0 → 100644
{
{
"name": "北京市POI数据",
"source": "实验室组内数据",
"url": "xxx",
"description": "兴趣点（POI，Point of Interest）是通过对空间实体进行抽象化，忽略其体积、面积、外观等实体信息的点状空间数据，每一个 POI 都对应着一个空间实体，一般都记录了实体的经度、纬度等基本信息，而根据 POI 种类的不同，其所携带的信息也有所差别。POI（point of interest）感兴趣点包括医院、公司、学校、餐馆、购物商店等包含城市多种多样的设施点，同时 POI 点包含地理信息，通过对城市 POI 的聚类分布可以分析出不同的功能区，以及解释相应的城市问题，比如早晚高峰情况，节假日景点活跃区域等。日常生活中使用的电子地图、导航产品有着种类富、分类细致的 POI 数据，除了经度、纬度外，还记录了名称、类别的信息；而新浪微博、微信等的签到数据则记录了用户在现实中的日常活动记录；另外，诸如大众点评、美团上的评价数据则记录了用户对商家的评价信息。POI 数据因其在日常生活中使用广泛，并蕴含着相对丰富的信息，加上较低的获取门槛，在不同的研究或商业活动中均具有较高的研究、应用价值。",
"data": [
{
"name": "NAME",
"type": "xxx",
"comment": "POI名称"
},
{
"name": "TYPE",
"type": "xxx",
"comment": "POI类型"
},
{
"name": "LON",
"type": "xxx",
"comment": "经度"
},
{
"name": "LAT",
"type": "xxx",
"comment": "纬度"
},
{
"name": "TYPE_number",
"type": "xxx",
"comment": "类型代号"
}
]
}
\ No newline at end of file
北京交通事故/北京市交通事故数据.json 0 → 100644
{
{
"name": "北京市交通事故数据",
"source": "实验室组内数据",
"url": "xxx",
"description": "随着社会的进步以及城市的大力建设，汽车数量持续增长，人们出行越来越方便，但交通事故次数也在持续增长，道路安全问题已经成为世界各地不可忽视的问题。根据相关资料统计，国内每年因为道路交通事故而伤亡的人数不断增长，带来的财产损失也持续增长，分析国内多年来交通事故的数据，以及对比国外相关情况，都可以发现我国道路安全状况不容乐观，交通事故极大的威胁着人民以及社会的安全。随着社会、经济快速发展，机动车辆迅猛增加，交通行使条件与交通流量之间的矛盾日益突出。通过利用交通事故数据，可以更好的识别发现事故对交通造成的影响，对交通疏导与决策提供有力的数据与模型支撑。交通事故发生时受多种因素的影响,因此对已发生事故做出正确的分析研判，将能直接影响到未来类似事故的预防。",
"data": [
{
"name": "longitude",
"type": "xxx",
"comment": "经度"
},
{
"name": "latitude",
"type": "xxx",
"comment": "纬度"
},
{
"name": "startTime",
"type": "xxx",
"comment": "开始时间"
},
{
"name": "endTime",
"type": "xxx",
"comment": "结束时间"
},
{
"name": "roadId",
"type": "xxx",
"comment": "道路编号"
},
{
"name": "name",
"type": "xxx",
"comment": "道路名称"
}
]
}
\ No newline at end of file
北京出租车/北京出租车数据描述.json 0 → 100644
{
{
"name":"北京出租车经纬度数据",
"source":"实验室",
"url": "https://www.xxxxx.com",
"description":"展示北京出租车的经度、纬度、公司名称、订单号、数据来源等",
"data":[
{
"name": "StrDepLongitude",
"type": "varchar(255)",
"comment": "经度"
},
{
"name": "StrDepLatitude",
"type": "varchar(255)",
"comment": "纬度"
},
{
"name": "StrCompanyID",
"type": "varchar(255)",
"comment": "公司名"
}，
{
"name": "StrOrderID",
"type": "varchar(255)",
"comment": "订单ID"
}
]
}
\ No newline at end of file
北京出租车/样例数据.json 0 → 100644
{
{
"companyName":"Didicompany",
"dataSource":"Didisource",
"dataName":"ORDER",
"dataBody":[
{"StrDepLongitude":116.4174881,"StrDepLatitude":39.9321251,"StrCompanyID":"0000SZ","StrOrderID":"000000"},
{"StrDepLongitude":116.2870026,"StrDepLatitude":39.2345711,"StrCompanyID":"0000SZ","StrOrderID":"000000"}
]
}
\ No newline at end of file
北京天气/北京市天气数据.json 0 → 100644
{
{
"name": "北京市天气数据",
"source": "实验室组内数据",
"url": "xxx",
"description": "天气数据记录了城市天气的各项数值变化，反映了不同类型的天气。天气数据作为城市数据集中一个重要的组成部分，对于城市交通出行规划有着重要的影响和干预作用。",
"data": [
{
"name": "valid_time",
"type": "xxx",
"comment": "***"
},
{
"name": "temp",
"type": "xxx",
"comment": "***"
},
{
"name": "dewPt",
"type": "xxx",
"comment": "***"
},
{
"name": "rh",
"type": "xxx",
"comment": "***"
},
{
"name": "pressure",
"type": "xxx",
"comment": "***"
},
{
"name": "wspd",
"type": "xxx",
"comment": "***"
},
{
"name": "feels_like",
"type": "xxx",
"comment": "***"
},
{
"name": "wx_phrase_Cloudy",
"type": "xxx",
"comment": "***"
},
{
"name": "wx_phrase_Fair",
"type": "xxx",
"comment": "***"
},
{
"name": "wx_phrase_Fog",
"type": "xxx",
"comment": "***"
},
{
"name": "wx_phrase_Haze",
"type": "xxx",
"comment": "***"
},
{
"name": "wx_phrase_Heavy T-Storm",
"type": "xxx",
"comment": "***"
},
{
"name": "wx_phrase_Light Rain",
"type": "xxx",
"comment": "***"
},
{
"name": "wx_phrase_Light Rain Shower",
"type": "xxx",
"comment": "***"
},
{
"name": "wx_phrase_Light Rain with Thunder",
"type": "xxx",
"comment": "***"
},
{
"name": "wx_phrase_Mist",
"type": "xxx",
"comment": "***"
},
{
"name": "wx_phrase_Mostly Cloudy",
"type": "xxx",
"comment": "***"
},
{
"name": "wx_phrase_Partly Cloudy",
"type": "xxx",
"comment": "***"
},
{
"name": "wx_phrase_Rain",
"type": "xxx",
"comment": "***"
},
{
"name": "wx_phrase_T-Storm",
"type": "xxx",
"comment": "***"
},
{
"name": "wx_phrase_Thunder",
"type": "xxx",
"comment": "***"
},
{
"name": "wdir_cardinal_CALM",
"type": "xxx",
"comment": "***"
},
{
"name": "wdir_cardinal_E",
"type": "xxx",
"comment": "***"
},
{
"name": "wdir_cardinal_ENE",
"type": "xxx",
"comment": "***"
},
{
"name": "wdir_cardinal_ESE",
"type": "xxx",
"comment": "***"
},
{
"name": "wdir_cardinal_N",
"type": "xxx",
"comment": "***"
},
{
"name": "wdir_cardinal_NE",
"type": "xxx",
"comment": "***"
},
{
"name": "wdir_cardinal_NNE",
"type": "xxx",
"comment": "***"
},
{
"name": "wdir_cardinal_NNW",
"type": "xxx",
"comment": "***"
},
{
"name": "wdir_cardinal_NW",
"type": "xxx",
"comment": "***"
},
{
"name": "wdir_cardinal_S",
"type": "xxx",
"comment": "***"
},
{
"name": "wdir_cardinal_SE",
"type": "xxx",
"comment": "***"
},
{
"name": "wdir_cardinal_SSE",
"type": "xxx",
"comment": "***"
},
{
"name": "wdir_cardinal_SSW",
"type": "xxx",
"comment": "***"
},
{
"name": "wdir_cardinal_SW",
"type": "xxx",
"comment": "***"
},
{
"name": "wdir_cardinal_VAR",
"type": "xxx",
"comment": "***"
},
{
"name": "wdir_cardinal_W",
"type": "xxx",
"comment": "***"
},
{
"name": "wdir_cardinal_WNW",
"type": "xxx",
"comment": "***"
},
{
"name": "wdir_cardinal_WSW",
"type": "xxx",
"comment": "***"
}
]
}
\ No newline at end of file
气象数据/weatherBriefing.json 0 → 100644
{
{
"name":"数据名称: 气象简报数据",
"source":"中央气象台,中国海洋预报,航空气象网",
"url": "http://aviation.nmc.cn/ ,http://www.nmc.cn/publish/marine/offshore.html,http://www.nmc.cn/publish/weather-bulletin/index.htm , http://www.nmc.cn/publish/traffic.html ,http://www.nmc.cn/publish/marine/forecast.htm ,http://www.oceanguide.org.cn/hyyj/seasDetail/offshore-meshing.htm",
"description":"由中央气象台、中国海洋预报和航空气象网每日发布的原始气象数据为基础，获得气象简报生成所需数据",
"data":[
{
"name": "name",
"type": "String",
"comment": "每日简报的日期"
},
{
"name": "document",
"type": "Object",
"comment": "存储简报中的文字数据"
},
{
"name": "image",
"type": "Object",
"comment": "存储简报中的图像数据"
}
]
}
\ No newline at end of file
纽约自行车公开数据集/NYC CitiBike数据样例.csv 0 → 100644
"tripduration","starttime","stoptime","start station id","start station name","start station latitude","start station longitude","end station id","end station name","end station latitude","end station longitude","bikeid","usertype","birth year","gender"
"tripduration","starttime","stoptime","start station id","start station name","start station latitude","start station longitude","end station id","end station name","end station latitude","end station longitude","bikeid","usertype","birth year","gender"
"496","4/1/2016 00:00:26","4/1/2016 00:08:42","254","W 11 St & 6 Ave","40.73532427","-73.99800419","236","St Marks Pl & 2 Ave","40.7284186","-73.98713956","19704","Subscriber","1984","1"
"104","4/1/2016 00:00:27","4/1/2016 00:02:12","311","Norfolk St & Broome St","40.7172274","-73.98802084","350","Clinton St & Grand St","40.71559509","-73.9870295","21555","Subscriber","1970","1"
"128","4/1/2016 00:00:30","4/1/2016 00:02:38","3064","Myrtle Ave & Lewis Ave","40.69681963","-73.93756926","3059","Pulaski St & Marcus Garvey Blvd","40.6933982","-73.939877","17430","Subscriber","1986","1"
"1197","4/1/2016 00:00:34","4/1/2016 00:20:31","3156","E 72 St & York Ave","40.76663814","-73.95348296","490","8 Ave & W 33 St","40.751551","-73.993934","17413","Subscriber","1981","1"
"419","4/1/2016 00:00:46","4/1/2016 00:07:46","116","W 17 St & 8 Ave","40.74177603","-74.00149746","405","Washington St & Gansevoort St","40.739323","-74.008119","16714","Subscriber","1982","2"
"388","4/1/2016 00:00:59","4/1/2016 00:07:28","161","LaGuardia Pl & W 3 St","40.72917025","-73.99810231","326","E 11 St & 1 Ave","40.72953837","-73.98426726","19581","Subscriber","1996","1"
"558","4/1/2016 00:01:38","4/1/2016 00:10:56","453","W 22 St & 8 Ave","40.74475148","-73.99915362","161","LaGuardia Pl & W 3 St","40.72917025","-73.99810231","21125","Subscriber","1983","1"
"236","4/1/2016 00:01:38","4/1/2016 00:05:34","477","W 41 St & 8 Ave","40.75640548","-73.9900262","379","W 31 St & 7 Ave","40.749156","-73.9916","16677","Subscriber","1965","1"
"493","4/1/2016 00:01:40","4/1/2016 00:09:53","478","11 Ave & W 41 St","40.76030096","-73.99884222","459","W 20 St & 11 Ave","40.746745","-74.007756","18880","Subscriber","1977","1"
"1117","4/1/2016 00:01:48","4/1/2016 00:20:25","401","Allen St & Rivington St","40.72019576","-73.98997825","337","Old Slip & Front St","40.7037992","-74.00838676","21394","Subscriber","1981","1"
"379","4/1/2016 00:02:13","4/1/2016 00:08:33","521","8 Ave & W 31 St N","40.75096734871598","-73.99444207549095","470","W 20 St & 8 Ave","40.74345335","-74.00004031","16412","Subscriber","1980","2"
"236","4/1/2016 00:02:15","4/1/2016 00:06:12","3087","Metropolitan Ave & Meeker Ave","40.71413311","-73.95234386","3086","Graham Ave & Conselyea St","40.715143","-73.944507","15919","Subscriber","1990","1"
"429","4/1/2016 00:02:18","4/1/2016 00:09:27","546","E 30 St & Park Ave S","40.74444921","-73.98303529","501","FDR Drive & E 35 St","40.744219","-73.97121214","20828","Subscriber","1991","1"
"701","4/1/2016 00:02:25","4/1/2016 00:14:07","252","MacDougal St & Washington Sq","40.73226398","-73.99852205","393","E 5 St & Avenue C","40.72299208","-73.97995466","21003","Subscriber","1992","1"
"495","4/1/2016 00:02:26","4/1/2016 00:10:41","439","E 4 St & 2 Ave","40.7262807","-73.98978041","361","Allen St & Hester St","40.71605866","-73.99190759","15965","Subscriber","1969","1"
"501","4/1/2016 00:02:33","4/1/2016 00:10:54","174","E 25 St & 1 Ave","40.7381765","-73.97738662","394","E 9 St & Avenue C","40.72521311","-73.97768752","20944","Subscriber","1983","1"
\ No newline at end of file
纽约自行车公开数据集/纽约自行车.json 0 → 100644
{
{
"name": "纽约citibike订单记录",
"source": "实验室组内数据",
"url": "https://s3.amazonaws.com/tripdata/index.html",
"description":"在大数据时代，随着互联网的快速发展，共享经济的浪潮卷席着各行各业，为解决城市居民出行“最后一公里”的痛点，绿色环保经济的单车共享服务应运而生. 共享单车，以人为本的城市复兴。数据跨度 2013.06-至今 ",
"data": [
{
"name": "tripduration",
"type": "xxx",
"comment": ""
},
{
"name": "starttime",
"type": "xxx",
"comment": ""
},
{
"name": "stoptime",
"type": "xxx",
"comment": ""
},
{
"name": "start station name",
"type": "xxx",
"comment": ""
},
{
"name": "start station latitude",
"type": "xxx",
"comment": ""
},
{
"name": "start station longitude",
"type": "xxx",
"comment": ""
},
{
"name": "end station id",
"type": "xxx",
"comment": ""
},
{
"name": "end station latitude",
"type": "xxx",
"comment": ""
},
{
"name": "end station longitude",
"type": "xxx",
"comment": ""
},
{
"name": "bikeid",
"type": "xxx",
"comment": ""
},
{
"name": "usertype",
"type": "xxx",
"comment": ""
},
{
"name": "birth year",
"type": "xxx",
"comment": ""
},
{
"name": "birth year",
"type": "xxx",
"comment": ""
}
]
}
\ No newline at end of file
纽约计程车公开数据集/NYC taxi数据样例.csv 0 → 100644
VendorID,tpep_pickup_datetime,tpep_dropoff_datetime,passenger_count,trip_distance,RatecodeID,store_and_fwd_flag,PULocationID,DOLocationID,payment_type,fare_amount,extra,mta_tax,tip_amount,tolls_amount,improvement_surcharge,total_amount,congestion_surcharge
VendorID,tpep_pickup_datetime,tpep_dropoff_datetime,passenger_count,trip_distance,RatecodeID,store_and_fwd_flag,PULocationID,DOLocationID,payment_type,fare_amount,extra,mta_tax,tip_amount,tolls_amount,improvement_surcharge,total_amount,congestion_surcharge
2,2019-07-01 00:51:04,2019-07-01 00:51:33,1,.00,1,N,193,193,1,2.5,0.5,0.5,1.14,0,0.3,4.94,0
2,2019-07-01 00:46:04,2019-07-01 01:05:46,1,4.16,1,N,234,25,2,16.5,0.5,0.5,0,0,0.3,20.3,2.5
1,2019-07-01 00:25:09,2019-07-01 01:00:56,1,18.80,2,N,132,42,1,52,0,0.5,11.75,6.12,0.3,70.67,0
2,2019-07-01 00:33:32,2019-07-01 01:15:27,1,18.46,2,N,132,142,1,52,0,0.5,11.06,0,0.3,66.36,2.5
1,2019-07-01 00:00:55,2019-07-01 00:13:05,0,1.70,1,N,107,114,1,9.5,3,0.5,2,0,0.3,15.3,2.5
1,2019-07-01 00:18:23,2019-07-01 00:30:42,0,2.10,1,N,125,45,1,10,3,0.5,2.75,0,0.3,16.55,2.5
1,2019-07-01 00:28:09,2019-07-01 00:51:00,1,2.40,1,N,142,68,1,13,3,0.5,3.35,0,0.3,20.15,2.5
1,2019-07-01 00:57:07,2019-07-01 01:11:41,1,3.00,1,N,246,141,2,12.5,3,0.5,0,0,0.3,16.3,2.5
4,2019-07-01 00:06:16,2019-07-01 00:33:14,1,7.89,1,N,50,80,1,26,0.5,0.5,5.96,0,0.3,35.76,2.5
4,2019-07-01 00:37:19,2019-07-01 00:52:30,1,4.09,1,N,80,97,2,15,0.5,0.5,0,0,0.3,16.3,0
1,2019-07-01 00:17:29,2019-07-01 00:26:33,1,2.30,1,N,170,142,1,9.5,3,0.5,2.65,0,0.3,15.95,2.5
\ No newline at end of file
纽约计程车公开数据集/纽约计程车.json 0 → 100644
{
{
"name": "纽约taxi订单记录",
"source": "实验室组内数据",
"url": "https://www1.nyc.gov/site/tlc/about/tlc-trip-record-data.page",
"description":"随着城市智能交通化的普及，科学技术的快速发展，交通数据的获得途径更加广泛，目前国内大部分城市出租车己经安装GPS设备。目前，GPS技术己广泛应用于交通管理领域。出租车车载GPS设备在车辆运营过程中，按照系统设定时间间隔将出租车的运营时间、车牌号、位置坐标、行驶角度、瞬时速度及出租车空重载状态传至出租车管理中心，生成出租车状态信息，每条信息详细记录了出租车运营情况，信息中心对出租车车载GPS设备采集的数据完成存储、定位及调度管理等服务。出租车GPS数据具有覆盖面广、维度高及数据量大的特点，可以实现出租车行驶状态实时动态采集，能够很好的反应出租车出行需求时空分布特性，也成为地理信息系统、智能交通及行为地理学等多个领域的研宄热点。随着出租车车载GPS设备的安装与普及，国内外学者利用出租车GPS数据研究出租车的出行规律与运营状态，主要包括出租车出行时空分布特征研宄和出租车供需水平的研究。",
"data": [
{
"name": "VendorID",
"type": "xxx",
"comment": ""
},
{
"name": "tpep_pickup_datetime",
"type": "xxx",
"comment": ""
},
{
"name": "tpep_dropoff_datetime",
"type": "xxx",
"comment": ""
},
{
"name": "passenger_count",
"type": "xxx",
"comment": ""
},
{
"name": "trip_distance",
"type": "xxx",
"comment": ""
},
{
"name": "RatecodeID",
"type": "xxx",
"comment": ""
},
{
"name": "store_and_fwd_flag",
"type": "xxx",
"comment": ""
},
{
"name": "PULocationID",
"type": "xxx",
"comment": ""
},
{
"name": "DOLocationID",
"type": "xxx",
"comment": ""
},
{
"name": "payment_type",
"type": "xxx",
"comment": ""
},
{
"name": "fare_amount",
"type": "xxx",
"comment": ""
},
{
"name": "extra",
"type": "xxx",
"comment": ""
},
{
"name": "mta_tax",
"type": "xxx",
"comment": ""
},
{
"name": "tip_amount",
"type": "xxx",
"comment": ""
},
{
"name": "tolls_amount",
"type": "xxx",
"comment": ""
},
{
"name": "improvement_surcharge",
"type": "xxx",
"comment": ""
},
{
"name": "total_amount",
"type": "xxx",
"comment": ""
},
{
"name": "congestion_surcharge",
"type": "xxx",
"comment": ""
}
]
}
\ No newline at end of file
网约车/北京市网约车GPS数据.json 0 → 100644
{
{
"name": "北京市网约车GPS数据",
"source": "实验室组内数据",
"url": "xxx",
"description": "2016 年 7 月 28 日，《网络预约出租汽车经营服务管理暂行办法》宣布网约车合法化，越来越多的私家车加入到网约车的行列，丰富了城市交通系统。优步、滴滴、易到等诸多互联网约车平台相继问世，通过这些互联网预约平台，用户实时下单，司机实时接单，需求和供给第一时间得到匹配。网约车是网络预约出租汽车的简称，是移动互联网时代由传统的出租载客服务演变而生的。通过各种打车软件，网约车也分为网约出租车、专车、快车、拼车、顺风车这五种不同的服务类型。网约车这种新型出行方式的引入，缓解了打车难的困境，为居民提供多样化、多层次的出行方式选择。然而，网约车与私家车类似，属于道路资源占用率高的低集约化出行方式。网约车GPS数据具有覆盖面广、维度高及数据量大的特点，可以实现网约车行驶状态实时动态采集，也成为地理信息系统、智能交通及行为地理学等多个领域的研究热点。",
"data": [
{
"name": "name",
"type": "xxx",
"comment": "姓名"
},
{
"name": "id",
"type": "xxx",
"comment": "编号"
},
{
"name": "car_id",
"type": "xxx",
"comment": "车牌号"
},
{
"name": "time",
"type": "xxx",
"comment": "时间"
},
{
"name": "longitude",
"type": "xxx",
"comment": "经度"
},
{
"name": "latitude",
"type": "xxx",
"comment": "纬度"
},
{
"name": "status",
"type": "xxx",
"comment": "状态"
}
]
}
\ No newline at end of file
网约车/网约车数据.csv 0 → 100644
name,id,car_id,time,longitude,latitude,status
name,id,car_id,time,longitude,latitude,status
陶全峰,4.12821E+17,京QV30C3,2.01707E+13,116.45574,39.8647,PASSENGER
陈晓文,1.30732E+17,京Q7H7L6,2.01707E+13,116.467995,40.088825,EMPTY
王学秋,1.10105E+17,京Q0P5A2,2.01707E+13,116.604474,39.923947,HALT
毛尚武,1.10106E+17,京QJ9Y92,2.01707E+13,116.576866,40.039746,PASSENGER
辛剑,1.10109E+17,京QL15D8,2.01707E+13,116.095507,39.885629,HALT
王涛,1.10221E+17,京Q2M0B0,2.01707E+13,116.23357,40.216854,DISPATCH
于爱国,1.30228E+17,京NNG322,2.01707E+13,116.55087,39.91208,DISPATCH
苏海军,5.11324E+17,京Q0R6N3,2.01707E+13,116.54186,39.75245,EMPTY
杨建民,1.31126E+17,京Q2GF30,2.01707E+13,116.50695,39.912163,EMPTY
陈剑虹,1.10117E+17,京QW6P23,2.01707E+13,116.367,39.945853,DISPATCH
曹志强,5.10902E+17,京Q0QE79,2.01707E+13,116.407888,39.997836,EMPTY
赵占京,1.32421E+17,京N18JE8,2.01707E+13,116.48992,39.87102,PASSENGER
刘振华,3.7293E+17,京Q8MV36,2.01707E+13,116.39064,39.841747,PASSENGER
丁玲,2.20822E+17,京N90CP9,2.01707E+13,116.59314,40.080505,EMPTY
黄庆强,3.42222E+17,京Q5K3V5,2.01707E+13,116.48576,39.959892,PASSENGER
鲁庆华,1.42623E+17,京N6JB89,2.01707E+13,116.657875,39.809975,PASSENGER
郑春茂,2.11011E+17,京Q9TE16,2.01707E+13,116.19716,39.911358,EMPTY
梁博,1.10106E+17,京BZ7388,2.01707E+13,116.466481,39.911605,HALT
胡越云,1.10224E+17,京NM6B85,2.01707E+13,116.310684,39.76331,EMPTY
牛亚飞,1.10108E+17,京QJ3Y25,2.01707E+13,116.568904,40.034627,EMPTY
李战龙,1.30184E+17,京Q9EW36,2.01707E+13,116.56419,39.92389,DISPATCH
侯金宝,1.10108E+17,京QB2S13,2.01707E+13,116.479189,39.979931,PASSENGER
贾志强,37232819720618183X,京Q0F1X6,2.01707E+13,116.348854,39.88038,PASSENGER
张强,1.32526E+17,京N187Z1,2.01707E+13,116.40825,39.950287,PASSENGER
马超,1.10224E+17,京QW2T83,2.01707E+13,116.31713,39.97702,PASSENGER
张大海,1.30827E+17,京QN6Z67,2.01707E+13,116.455505,39.922844,DISPATCH
赵合兴,1.10115E+17,京Q279V8,2.01707E+13,116.490005,39.931349,PASSENGER
管世录,4.10928E+17,京N18V75,2.01707E+13,116.37449,40.022457,EMPTY
陆宪华,1.10102E+17,京Q6X6W3,2.01707E+13,116.43698,39.870552,PASSENGER
王洪新,1.10106E+17,京BZ2151,2.01707E+13,116.263681,39.849246,DISPATCH
柳青林,1.10222E+17,京BZ4381,2.01707E+13,116.31245,39.90625,PASSENGER
黄天柱,1.32404E+17,京PBP526,2.01707E+13,116.363075,39.9152,PASSENGER
王伟伟,1.10109E+17,京Q279V6,2.01707E+13,116.569523,39.94078,DISPATCH
杭海,11010819790815491X,京N61U25,2.01707E+13,116.44291,39.898865,EMPTY
谢成,34122519830525601X,京PVV719,2.01707E+13,116.27998,39.933266,EMPTY
高燕鑫,1.10228E+17,京HU9239,2.01707E+13,116.495852,39.816777,PASSENGER
吴连强,1.10222E+17,京N81W16,2.01707E+13,116.72067,40.133854,PASSENGER
汶春蕾,11010819831016064X,京QB2S71,2.01707E+13,116.497405,39.996436,PASSENGER
鲁元书,4.10927E+17,京QY72K3,2.01707E+13,116.351776,40.020504,PASSENGER
石磊,3.70481E+17,京N032Q5,2.01707E+13,116.1562,40.041412,EMPTY
丁淼,1.10105E+17,京BZ2144,2.01707E+13,116.579715,39.947571,DISPATCH
吴位民,1.32235E+17,京NR8J68,2.01707E+13,116.50081,39.801807,EMPTY
谭小刚,1.10101E+17,京Q013Z1,2.01707E+13,116.588001,40.075966,EMPTY
徐龙龙,4.11521E+17,京QK79D6,2.01707E+13,116.48267,39.89849,PASSENGER
郭胜利,13042319810322101X,京QR8B10,2.01707E+13,116.45269,40.068626,EMPTY
胡委委,1.30433E+17,京QZ25P5,2.01707E+13,116.58093,39.998688,EMPTY
周朝辉,6.1063E+17,京QV5E90,2.01707E+13,116.467291,40.001571,PASSENGER
王占余,1.10223E+17,京PBE616,2.01707E+13,116.54072,39.795002,EMPTY
王林飞,13042319910808213X,京PD5E38,2.01707E+13,116.48907,39.874416,PASSENGER
王彬,1.10105E+17,京Q6HE31,2.01707E+13,116.366643,39.989347,PASSENGER
毕泗勇,3.72525E+17,京L11488,2.01707E+13,116.32291,39.93893,PASSENGER
陈启超,1.30633E+17,冀FP568Z,2.01707E+13,116.51309,39.83802,EMPTY
李吉满,4.12902E+17,京QP09H7,2.01707E+13,116.32703,40.077553,EMPTY
张胜武,1.10224E+17,京GDW192,2.01707E+13,116.488464,39.79593,DISPATCH
高金奚,3.41225E+17,京Q6Q258,2.01707E+13,116.29296,39.8503,PASSENGER
赵安明,3.20825E+17,京Q2GT10,2.01707E+13,116.2883,40.088055,EMPTY
王志国,3.42125E+17,京N9R769,2.01707E+13,116.502983,39.941241,HALT
侯金宝,1.10108E+17,京QB2S13,2.01707E+13,116.52571,40.018659,EMPTY
林会江,1.50422E+17,京NB3D02,2.01707E+13,116.23399,39.94961,EMPTY
张树成,4.13024E+17,京Q9PU22,2.01707E+13,116.60409,39.92521,DISPATCH
朱绍宽,1.10221E+17,京P39M06,2.01707E+13,116.3705,40.119175,PASSENGER
金海军,1.10227E+17,京GLS222,2.01707E+13,116.64485,40.33845,EMPTY
闫涛,1.10106E+17,京N0C9Z8,2.01707E+13,116.304241,40.054471,HALT
张力,1.10105E+17,京QK77V3,2.01707E+13,116.844115,40.37459,EMPTY
潘广华,4.13021E+17,京QJ95R6,2.01707E+13,116.38415,39.862736,DISPATCH
程子厚,1.30929E+17,京NRT080,2.01707E+13,116.41776,40.022987,PASSENGER
姜献武,1.30532E+17,京QK09C5,2.01707E+13,116.230446,39.8925,PASSENGER
乔永传,4.13026E+17,京QJ78X8,2.01707E+13,116.13593,39.739414,PASSENGER
纪卫勋,1.10221E+17,京Q7Z953,2.01707E+13,116.287865,40.20674,EMPTY
梁玉陈,4.12726E+17,京MD0878,2.01707E+13,116.43464,39.905674,DISPATCH
马晓荣,5.11324E+17,京Q5S8L6,2.01707E+13,116.528404,39.923183,PASSENGER
王新刚,65010419851113531X,冀J6082D,2.01707E+13,116.634214,40.130332,HALT
严秋林,2.30207E+17,京Q3EG92,2.01707E+13,116.58203,40.045402,EMPTY
田世富,5.10724E+17,京Q0T9A2,2.01707E+13,116.5329,39.89223,EMPTY
刘东喜,1.10117E+17,京QW6P25,2.01707E+13,116.548879,39.875124,PASSENGER
赵立严,11022719680121031X,京QNE593,2.01707E+13,116.64451,40.34264,EMPTY
金新群,4.13025E+17,京PRV973,2.01707E+13,116.461624,39.937378,PASSENGER
杨海军,4.12728E+17,京Q8D068,2.01707E+13,116.3127,39.78842,EMPTY
白凤生,4.12702E+17,京N94U50,2.01707E+13,116.456833,39.919682,HALT
杨绪强,3.72929E+17,京QV83Q9,2.01707E+13,116.441864,39.870758,PASSENGER
王小兵,1.10102E+17,京Q0SX71,2.01707E+13,116.336325,39.889778,HALT
张伯乐,1.10103E+17,京QS95J8,2.01707E+13,116.23822,40.1992,EMPTY
段立永,1.30125E+17,京Q9E5D8,2.01707E+13,116.35539,39.951134,EMPTY
康俊平,1.10101E+17,京BZ0992,2.01707E+13,116.605869,40.052043,EMPTY
陈长三,4.10622E+17,京P6KS80,2.01707E+13,116.27213,40.007904,EMPTY
杨冰,1.31082E+17,京LS6339,2.01707E+13,116.70368,39.948063,PASSENGER
李建廷,6.22827E+17,京Q1BT65,2.01707E+13,116.30155,40.04501,DISPATCH
陈响,4.11521E+17,京QS09S9,2.01707E+13,116.422745,40.037613,EMPTY
题长青,3.72525E+17,京N175F8,2.01707E+13,116.26471,39.894833,DISPATCH
陈昌欣,4.12822E+17,京N4C432,2.01707E+13,116.44565,39.933838,DISPATCH
张缘,1.10224E+17,京NB3V30,2.01707E+13,116.436502,39.892642,HALT
冉禄,1.10224E+17,京Q6G3Z3,2.01707E+13,116.33085,39.790825,PASSENGER
季世聪,3.71481E+17,京NQ8934,2.01707E+13,116.4671,39.84356,DISPATCH
丁继广,2.10311E+17,京NNW000,2.01707E+13,116.38422,39.76435,PASSENGER
李宁,1.3063E+17,京QY91K7,2.01707E+13,116.54316,39.753105,EMPTY
李佳膊,1.10105E+17,京PV5H65,2.01707E+13,116.3232,39.96425,EMPTY
马中刚,1.10102E+17,京H31390,2.01707E+13,116.49603,39.927807,EMPTY
王修兵,4.12932E+17,京Q931N3,2.01707E+13,116.36663,39.80762,PASSENGER
吕新光,37252319830709291X,京N4Z305,2.01707E+13,116.260021,40.003443,HALT
杜君,1.10227E+17,京NVL591,2.01707E+13,116.413284,40.006477,EMPTY
航班数据/航班数据.json 0 → 100644
{
{
"name": "航班数据",
"source": "实验室组内数据",
"url": "xxx",
"description": "空中交通作为城市交通的一部分，航班轨迹数据能够记录着飞机的实时轨迹动态，掌握航班的实时信息，能够有效进行航班的监控。",
"data": [
{
"name": "id",
"type": "xxx",
"comment": "数据编号"
},
{
"name": "Flight_No",
"type": "xxx",
"comment": "航班号"
},
{
"name": "lng",
"type": "xxx",
"comment": "经度"
},
{
"name": "lat",
"type": "xxx",
"comment": "纬度"
},
{
"name": "height",
"type": "xxx",
"comment": "高度"
},
{
"name": "speed",
"type": "xxx",
"comment": "速度"
},
{
"name": "angle",
"type": "xxx",
"comment": "角度"
},
{
"name": "time",
"type": "xxx",
"comment": "时间"
}
]
}
\ No newline at end of file
航班数据/飞机数据.csv 0 → 100644
id,Flight_No,lng,lat,height,speed,angle,time
id,Flight_No,lng,lat,height,speed,angle,time
1,CHH7106,116.6324,39.9641,1675,472,353,1548682493
2,!CES5180,116.5915,40.114,1825,162,353,1548687041
3,CES5180,116.5915,40.114,1825,162,353,1548687041
4,CSC8827,116.0639,40.2185,18075,288,257,1548687041
5,CSC8827,116.0639,40.2185,18075,288,257,1548687041
6,CES2372,115.8742,40.1481,20700,331,264,1548687041
7,CES2372,115.8742,40.1481,20700,331,264,1548687041
8,CSN6115,116.7759,40.5894,11800,341,195,1548687041
9,CSN6115,116.7759,40.5894,11800,341,195,1548687041
10,CQH8674,117.4166,40.7048,25600,373,230,1548687041
11,CQH8674,117.4166,40.7048,25600,373,230,1548687041
12,CQH8674,117.4166,40.7048,25600,373,230,1548687041
13,CQH8674,117.4166,40.7048,25600,373,230,1548687041
14,TAY811,116.9567,39.6516,33100,473,176,1548687041
15,TAY811,116.9567,39.6516,33100,473,176,1548687041
16,CSZ9165,116.9921,39.9236,18700,347,179,1548687041
17,CSZ9165,116.9921,39.9236,18700,347,179,1548687041
18,CSZ9156,116.5815,40.027,725,148,353,1548687041
19,CSZ9156,116.5815,40.027,725,148,353,1548687041
20,CSZ9165,116.9921,39.9236,18700,347,179,1548687041
21,CSZ9165,116.9921,39.9236,18700,347,179,1548687041
22,AMU008,116.6253,40.0096,725,153,353,1548687041
23,AMU008,116.6253,40.0096,725,153,353,1548687041
24,AMU008,116.6253,40.0096,725,153,353,1548687041
25,AMU008,116.6253,40.0096,725,153,353,1548687041
26,CSZ9156,116.5815,40.027,725,148,353,1548687042
27,CSZ9156,116.5815,40.027,725,148,353,1548687042
28,CDG4994,116.8748,39.7811,17750,385,181,1548687042
29,CDG4994,116.8748,39.7811,17750,385,181,1548687042
30,CDG4994,116.8748,39.7811,17750,385,181,1548687042
31,CDG4994,116.8748,39.7811,17750,385,181,1548687042
32,CSC8827,116.0631,40.2184,18100,288,257,1548687042
33,CSC8827,116.0631,40.2184,18100,288,257,1548687042
34,CSN6256,116.6305,39.5756,29100,458,7,1548687042
35,CSN6256,116.6305,39.5756,29100,458,7,1548687042
36,CSZ9156,116.5815,40.027,725,148,353,1548687042
37,CSZ9156,116.5815,40.027,725,148,353,1548687042
38,CCA8282,115.8513,40.3731,14800,408,93,1548687042
39,CCA8282,115.8513,40.3731,14800,408,93,1548687042
40,CCA1134,116.62,39.7787,5525,197,358,1548687042
41,CCA1134,116.62,39.7787,5525,197,358,1548687042
42,CSZ9165,116.9921,39.9236,18700,347,179,1548687042
43,CSZ9165,116.9921,39.9236,18700,347,179,1548687042
44,CSZ9156,116.5815,40.027,725,148,353,1548687042
45,CSZ9156,116.5815,40.027,725,148,353,1548687042
46,CSN6256,116.6306,39.5764,29100,458,7,1548687042
47,CSN6256,116.6306,39.5764,29100,458,7,1548687042
48,CSN6256,116.6306,39.5764,29100,458,7,1548687042
49,CSN6256,116.6306,39.5764,29100,458,7,1548687042
50,CHH7146,115.2703,40.3932,15175,418,91,1548687042
51,CHH7146,115.2703,40.3932,15175,418,91,1548687042
52,CCA1134,116.62,39.7787,5525,197,358,1548687042
53,CCA1134,116.62,39.7787,5525,197,358,1548687042
54,CCA9644,116.7408,39.7583,4150,175,268,1548687042
55,CCA9644,116.7408,39.7583,4150,175,268,1548687042
56,CCA1708,116.6387,40.1424,3300,182,26,1548687042
57,CCA1708,116.6387,40.1424,3300,182,26,1548687042
58,CHH7146,115.2713,40.3932,15175,418,91,1548687042
59,CHH7146,115.2713,40.3932,15175,418,91,1548687042
60,CSN6207,116.7163,40.1616,9425,286,173,1548687042
61,CSN6207,116.7163,40.1616,9425,286,173,1548687042
62,TAY811,116.957,39.6481,33100,473,176,1548687042
63,TAY811,116.957,39.6481,33100,473,176,1548687042
64,CCA8282,115.8513,40.3731,14800,408,93,1548687042
65,CCA8282,115.8513,40.3731,14800,408,93,1548687042
66,CCA1134,116.62,39.7787,5525,197,358,1548687042
67,CCA1134,116.62,39.7787,5525,197,358,1548687042
68,CSN6207,116.7164,40.1609,9425,286,173,1548687042
69,CSN6207,116.7164,40.1609,9425,286,173,1548687042
70,TAY811,116.957,39.6481,33100,473,176,1548687042
71,TAY811,116.957,39.6481,33100,473,176,1548687042
72,CCA1708,116.6388,40.1426,3325,182,26,1548687042
73,CCA1708,116.6388,40.1426,3325,182,26,1548687042
74,CSN6207,116.7164,40.1609,9425,286,173,1548687042
75,CSN6207,116.7164,40.1609,9425,286,173,1548687042
76,CSC8827,116.0631,40.2184,18100,288,257,1548687042
77,CSC8827,116.0631,40.2184,18100,288,257,1548687042
78,CCA8282,115.8513,40.3731,14800,408,93,1548687042
79,CCA8282,115.8513,40.3731,14800,408,93,1548687042
80,CSC8892,114.5267,40.0831,32125,365,235,1548687042
81,CSC8892,114.5267,40.0831,32125,365,235,1548687042
82,CSN6115,116.7756,40.5886,11800,341,195,1548687042
83,CSN6115,116.7756,40.5886,11800,341,195,1548687042
84,BJN1648,117.7789,41.1017,14800,344,240,1548687042
85,BJN1648,117.7789,41.1017,14800,344,240,1548687042
86,CDG4994,116.8748,39.7811,17750,385,181,1548687042
87,CDG4994,116.8748,39.7811,17750,385,181,1548687042
88,CES2372,115.8742,40.1481,20700,331,264,1548687042
89,CES2372,115.8742,40.1481,20700,331,264,1548687042
90,TBA9880,115.9785,42.0338,32100,366,266,1548687042
91,TBA9880,115.9785,42.0338,32100,366,266,1548687042
92,AMU008,116.6253,40.0096,725,153,353,1548687042
93,AMU008,116.6253,40.0096,725,153,353,1548687042
94,CCA8282,115.8513,40.3731,14800,408,93,1548687042
95,CCA8282,115.8513,40.3731,14800,408,93,1548687042
96,CSZ9165,116.9921,39.9236,18700,347,179,1548687042
97,CSZ9165,116.9921,39.9236,18700,347,179,1548687042
98,CES5180,116.5914,40.1144,1850,162,353,1548687042
99,CES5180,116.5914,40.1144,1850,162,353,1548687042
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