CRAWDAD roma/taxi

User Mobility Characterization</purpose><purpose>Network Performance Analysis</purpose><purpose>Routing Protocol for DTNs (Disruption Tolerant Networks)</purpose><purpose>Positioning Systems</purpose><purpose>Human Behavior Modeling</purpose><purpose>Localization</purpose><purpose>Opportunistic ConnectivityDataset of mobility traces of taxi cabs in Rome, Italy.Dataset of mobility traces of taxi cabs in Rome, Italy.This dataset contains mobility traces of taxi cabs in Rome, Italy. It contains GPS coordinates of approximately 320 taxis collected over 30 days. Related publication: Marco Bonola, Lorenzo Bracciale, Pierpaolo Loreti, Raul Amici, Antonello Rabuffi, and Giuseppe Bianchi. 'Opportunistic communication in smart city: Experimental insight with small-scale taxi fleets as data carriers'. Ad Hoc Networks, February 2016.date/time of measurement start: 2014-02-01date/time of measurement end: 2014-03-02collection environment: 320 taxi drivers that work in the center of Rome. Traces present the positions of drivers, collected every 7 seconds.sanitization: Driver names have been replaced with an id.limitation: To retrieve the position, we used the getAccuracy function of Android LocationManager objects. We filter out the positions if their precision is less than 20m.Tracesetroma/taxi/taxicabsDataset of mobility traces of taxi cabs in Rome, Italy.file: taxi_february.tar.gzdescription: Dataset of mobility traces of taxi cabs in Rome, Italy.measurement purpose: User Mobility Characterization, Network Performance Analysis, Routing Protocol for DTNs (Disruption Tolerant Networks), Positioning Systems, Human Behavior Modeling, Opportunistic Connectivityroma/taxi/taxicabs Tracetaxi-rome1: 392 Mb of compressed data regarding the position of taxi cabs working for a month in the center of Rome, Italy.format: The trace is a txt file formatted as: DRIVER_ID;TIMESTAMP;POSITION Where: - Driver_id is an integer. - Timestamp includes date and time. - Position is formatted as POINT(latitude, longitude) The trace is sorted on the timestamp.

本数据集为意大利罗马出租车移动轨迹数据集，可应用于以下研究方向：用户移动性表征、网络性能分析、容迟网络（DTNs, Disruption Tolerant Networks）路由协议研究、定位系统研发、人类行为建模以及机会连通性研究。
本数据集包含意大利罗马约320辆出租车的移动轨迹与GPS坐标，采集周期为30天。相关学术出版物为：Marco Bonola、Lorenzo Bracciale、Pierpaolo Loreti、Raul Amici、Antonello Rabuffi与Giuseppe Bianchi发表于*Ad Hoc Networks*2016年2月的论文《Opportunistic communication in smart city: Experimental insight with small-scale taxi fleets as data carriers》。
### 采集相关参数
- 测量起始时间：2014-02-01
- 测量结束时间：2014-03-02
- 采集环境：面向320名在罗马市中心作业的出租车驾驶员，每7秒采集一次其位置轨迹数据
- 数据脱敏处理：已将驾驶员姓名替换为唯一ID标识符
- 数据过滤规则：通过Android LocationManager的`getAccuracy`函数获取位置精度，过滤掉精度低于20米的点位记录
### 数据集文件详情
数据集路径为`tracesetroma/taxi/taxicabs`，亦可通过taxi-rome1标识；数据归档文件为`taxi_february.tar.gz`，压缩后大小约392 Mb，涵盖罗马市中心出租车一个月的位置轨迹数据。
轨迹文件格式说明：
轨迹为纯文本格式，每行数据格式为：`DRIVER_ID;TIMESTAMP;POSITION`
各字段含义如下：
1. Driver_id：整数类型的驾驶员唯一标识符
2. Timestamp：包含日期与时间的时间戳
3. Position：格式为`POINT(纬度, 经度)`的位置坐标
所有轨迹数据均按时间戳排序。

搜集汇总

背景与挑战

背景概述

该数据集记录了意大利罗马约320辆出租车30天内的GPS轨迹数据，采集频率为每7秒一次，位置精度过滤阈值为20米。数据格式为包含司机ID、时间戳和经纬度的文本文件，适用于移动性分析和网络性能研究等场景。