Description for aBeacon Data Release

Large scale mobile sensing network is at the intersection of multiple research communities, including mobile computing, networked systems design and implementation, and spatial-temporal data mining. However, the progress of studies on large-scale mobile sensing networks does not meet industrial expectations. One of the main reasons is that there is no well-organized dataset that provides large amounts of sensing and mobility data from multiple channels to support related studies. Motivated by the observation, we release aBeacon: Alibaba Beacon System of Couriers’ Arrival Detection: a large-scale repository composed of BLE sensing, location trace, and manual report data, including 31,131 couriers at 2,466 merchant locations in one month. More details on the aBeacon system can be found in our NSDI’21 paper “Operational: From Conception to Retirement: a Lifetime Story of a 3-Year-Old Operational Wireless Beacon System in the Wild”.

aBeacon provides the BLE sensing, location trace and manual report data of 31,131 couriers at 2,466 merchants in one month.

(1) For aBeacon sensing data, we envision the following research topics:　
    a) Bluetooth network topology;
    b) Impact of device type on Bluetooth monitoring;
    c) Relation between Bluetooth-based detection and courier report (with courier location report data);
    d) Relation between Bluetooth-based detection and GPS (with courier location trace data);

(2) For courier location trace data, we envision the following research topics:
    a) Courier Mobility Study (Cluster analysis/Destination prediction);
    b) Differences between e-scooter mobility and other transportation types (with other data-sets);
    c) Location privacy;

(3) For courier location report data, we envision the following research topics:
    a) Order scheduling strategy study;
    b) Order scheduling system efficiency (with courier location trace data);

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Ding Yi*, Ling Liu, Yu Yang*, Yunhuai Liu, Tian He, Desheng Zhang.
From Conception to Retirement: a Lifetime Story of a 3-Year-Old Operational Wireless Beacon System in the Wild.
To Appear in USENIX NSDI 2021. [Paper]; 19/114=16%.

Yu Yang*, Ding Yi, D.Yuan, Guang Wang*, Xiaoyang Xie*, Y. Liu, T. He and Desheng Zhang.
TransLoc: Transparent Indoor Localization with Uncertain Human Participation. In ACM MobiCom'20. [Paper]

 

Yi Ding (dingx447@umn.edu)

Yu Yang (y.y@rutgers.edu)

Desheng Zhang (desheng@cs.rutgers.edu)

Description for ETC Data Release V0

This dataset contains ETC transaction samples for one day in Guangdong Province including: origin, destination, origin time, destination time, plate id. It includes 1,531,863 of vehicles and 2,515,672 of records. This dataset is for academic research only. All rights reserved. For privacy concerns, all identifiable IDs have been replaced by serial numbers.

We have been negotiating with service providers in Shenzhen to publish more data safely. But due to security and privacy concerns, some data used in the paper cannot be made public currently. Please follow our future work. Please cite the following paper when using this dataset.

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Yang, Yu, Fan Zhang, and Desheng Zhang.

VeMo: Enabling Transparent Vehicular Mobility Modeling at Individual Levels with Full Penetration.

In The 25th Annual International Conference on Mobile Computing and Networking (MobiCom) 2019.

 

Yang, Yu, Fan Zhang, and Desheng Zhang.

SharedEdge: GPS-free fine-grained travel time estimation in state-level highway systems.

Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 2, no. 1 (2018): 48.

 

Yu Yang (y.y@rutgers.edu)

Desheng Zhang (d.z@rutgers.edu)

Fan Zhang (zhangfan@siat.ac.cn)

Description for Electric Vehicle Data Release V0

This dataset contains Electric Taxi GPS samples for one day in the Chinese city Shenzhen including: vehicle id, longitude, latitude, time, speed. In total, there are 664 Electric Taxis and 1,155,654 GPS records. This dataset is for academic research only. All rights reserved. For privacy concerns, all identifiable IDs have been replaced by serial numbers.

We have been negotiating with service providers in Shenzhen to publish more data safely. But due to security and privacy concerns, some data used in the paper cannot be made public currently. Please follow our future work. Please cite the following paper when using this dataset.

Download

Wang, Guang, Xiuyuan Chen, Fan Zhang, Yang Wang, and Desheng Zhang.

Experience: Understanding long-term evolving patterns of shared electric vehicle networks.

In The 25th Annual International Conference on Mobile Computing and Networking (MobiCom) 2019.

 

Guang Wang (Guang.Wang@rutgers.edu)

Desheng Zhang (d.z@rutgers.edu)

Fan Zhang (zhangfan@siat.ac.cn)

Description for Urban Data Release V2

This 7GB dataset contains five kinds of data: Cellphone CDR Data, Smartcard Data, Taxicab GPS data, Bus GPS data and Truck GPS data of the Chinese City Shenzhen. This dataset is for academic research only. All rights reserved. For privacy concerns, all specific date info was removed and all identifiable IDs have been replaced by serial numbers in each kind of data.

 

1. CDR Data Format:0055556100, 08:27:50,114.121305,22.57902
   SIM Card ID, Time, Latitude, Longitude;
   Download
   


2. Smartcard Data Format:000000064,2013-10-22 09:49:33,31,26
   Smartcard ID, Time, Transaction type (21, 22, 31), Metro Station or Bus Line, Transaction Type;
   31-Bus Boarding & 21-Subway Swiped-In & 22-Subway Swiped-Out;
   Download
   


3. Taxi GPS Data Format: 22223,2013-10-22 08:49:25,114.116631,22.582466,0
   Taxi ID, Time, Latitude, Longitude, Occupancy Status, Speed; Occupancy Status: 1-with passengers & 0-with passengers;
   Download
   


4. Bus GPS Data Format:55640,2013-10-22 09:13:16,BJ2413,113.890800,22.580256，27.0000
   BUS ID, Time, PlateID, Latitude, Longitude, Speed;
   Download
   


5. Truck GPS Data Format: 856,****-**-19 14:44:36,113.93882,2.25392,0
   Truck ID, Date Time, Latitude, Longitude, Speed;
   Download
   

We have been negotiating with service providers in Shenzhen to publish more data safely. But due to security and privacy concerns, some data used in the paper cannot be made public currently. Please follow our future work. Please cite the following paper when using this dataset.

 

Desheng Zhang, Juanjuan Zhao, Fan Zhang, and Tian He.

UrbanCPS:a Cyber-Physical System based on Multi-source Big Infrastructure Data for Heterogeneous Model Integration.

In the 6th ACM/IEEE International Conference on Cyber-Physical Systems (ICCPS'15), 2015.

 

Desheng Zhang (zhang@cs.umn.edu)

Tian He (tianhe@cs.umn.eud)

Fan Zhang (zhangfan@siat.ac.cn)

Description for Urban Data Release V1

This 5GB dataset contains four kinds of data for One Day: Cellphone CDR Data, Smartcard Data, Taxicab GPS data, and Bus GPS data of the Chinese City Shenzhen. This dataset is for academic research only. All rights reserved. For privacy concerns, all identifiable IDs have been replaced by serial numbers in each kind of data.

 

We have been negotiating with service providers in Shenzhen to publish more data safely. But due to security and privacy concerns, some data used in the paper cannot be made public currently. Please follow our future work. Please cite the following paper when using this dataset.

 

Desheng Zhang, Juanjuan Zhao, Fan Zhang, Ruobing Jiang and Tian He.

Feeder: Supporting Last-Mile Transit with Extreme-Scale Urban Infrastructure Data

In The 14th International Conference on Information Processing in Sensor Networks (IPSN'15), 2015.

 

Desheng Zhang (zhang@cs.umn.edu)

Tian He (tianhe@cs.umn.eud)

Fan Zhang (zhangfan@siat.ac.cn)

Description for Urban Data Release V0

This 400MB dataset contains 4 kinds of data: CDR Data, Smartcard Data, Taxicab GPS data and Bus GPS data of Shenzhen City China from 6AM 2013-10-22 to 12AM 2013-10-23. This dataset is for academic research only. All rights reserved. All identifiable IDs have been replaced by serial numbers in each kind of data for privacy concerns. The dataset is given at here.

We have been negotiating with service providers in Shenzhen to publish more data safely. But due to security and privacy concerns, some data used in the paper cannot be made public currently. Please follow our future work. Please cite the following paper when using this dataset.

Desheng Zhang, Jun Huang, Ye Li, Fan Zhang, Chengzhong Xu, and Tian He.

Exploring Human Mobility with Multi-Source Data at Extremely Large Metropolitan Scales.

In MobiCom '14, 2014.

 

Desheng Zhang (zhang@cs.umn.edu)

Tian He (tianhe@cs.umn.eud)

Fan Zhang (zhangfan@siat.ac.cn)