# Big Data for Traffic Estimation and Prediction: A Survey of Data and Tools
## 2 Data-Driven Traffic Estimation and Prediction
### GPS Trajectory Data
\begin{table}
\begin{tabular}{p{56.9 pt} p{56.9 pt} p{56.9 pt} p{56.9 pt} p{56.9 pt}} \hline \hline
**Name** & **Type** & **Spatial Range** & **Temporal Range** & **Download Link** \\ \hline SF Taxis or Cabspotting [37] & Taxi GPS trajectory & San Francisco, CA, USA & 17 May 2008 to 10 June 2008 & [[http://crawdad.org/epfl/mobility/20090](http://crawdad.org/epfl/mobility/20090)]([http://crawdad.org/epfl/mobility/20090](http://crawdad.org/epfl/mobility/20090)) June 2008 & 224/index.html \\ \hline Rome Taxis [38] & Taxi GPS trajectory & Rome, Italy & 1 February 2014 to 3 March 2014 & [[http://crawdad.org/roma/taxi/20140717](http://crawdad.org/roma/taxi/20140717)]([http://crawdad.org/roma/taxi/20140717](http://crawdad.org/roma/taxi/20140717)) /index.html \\ \hline Porto Taxis & Taxi GPS trajectory & Porto, Portugal & 1 July 2013 to 30 June 2014 & [[https://www.kaggle.com/c/pkdd-15-pre](https://www.kaggle.com/c/pkdd-15-pre)]([https://www.kaggle.com/c/pkdd-15-pre](https://www.kaggle.com/c/pkdd-15-pre)) / dict- taxi-service-trajectory-i/data \\ \hline Geolife [39] & Taxi GPS trajectory & Beijing, China & April 2007 to August 2012 & [[https://www.microsoft.com/en-us/down](https://www.microsoft.com/en-us/down)]([https://www.microsoft.com/en-us/down](https://www.microsoft.com/en-us/down)) load/details.aspx?id=52367 \\ \hline Mobile Data Challenge (MDC) [40] & Taxi GPS trajectory & Lake Geneva region & 2009 to 2011 region & [[https://www.idiap.ch/dataset/mdc](https://www.idiap.ch/dataset/mdc)]([https://www.idiap.ch/dataset/mdc](https://www.idiap.ch/dataset/mdc)) \\ \hline TaxiCD & Taxi GPS trajectory & Chengdu, China & 3 August to 30 2014 & [[https://js.dclab.run/v2/cmptDetail.html?id=175](https://js.dclab.run/v2/cmptDetail.html?id=175)]([https://js.dclab.run/v2/cmptDetail.html?id=175](https://js.dclab.run/v2/cmptDetail.html?id=175)) \\ \hline Grab-Posisi [41] & Grab Drive GPS trajectory & Southeast Asia & 8 April 2019 to 21 April 2019 & Upon request \\ \hline PrivateCarTrajectoryData & Private car GPS trajectory & Shenzhen, China & January 2016 & [[https://github.com/HumanUniversityZh](https://github.com/HumanUniversityZh)]([https://github.com/HumanUniversityZh](https://github.com/HumanUniversityZh)) uXiao/PrivateCarTrajectoryData \\ \hline TaxiB [42] & Taxi traffic flow & Beijing, China & Multiple time periods & [[https://github.com/[PERSON]/ASTIR](https://github.com/[PERSON]/ASTIR)]([https://github.com/[PERSON]/ASTIR](https://github.com/[PERSON]/ASTIR)) or [[https://www.jianguoyun.com/p/DesHv2](https://www.jianguoyun.com/p/DesHv2) UQs-HRBxi9 gtYB]([https://www.jianguoyun.com/p/DesHv2](https://www.jianguoyun.com/p/DesHv2) UQs-HRBxi9 gtYB) \\ \hline BikeNYC [43] & Bike traffic flow & NYC, USA & 1 April 2014 to 30 September 2014 & [[https://github.com/[PERSON]/ASTIR](https://github.com/[PERSON]/ASTIR)]([https://github.com/[PERSON]/ASTIR](https://github.com/[PERSON]/ASTIR)) or [[https://www.jianguoyun.com/p/DesHv2](https://www.jianguoyun.com/p/DesHv2) UQs-HRBxi9 gtYB]([https://www.jianguoyun.com/p/DesHv2](https://www.jianguoyun.com/p/DesHv2) UQs-HRBxi9 gtYB) \\ \hline Traffic Chengdu [44] & Speed & Taxi traffic speed & Chengdu, China & 1 June 2015 to 15 July 2015 & [[https://doi.org/10.6084/m9.figshare.7140](https://doi.org/10.6084/m9.figshare.7140)]([https://doi.org/10.6084/m9.figshare.7140](https://doi.org/10.6084/m9.figshare.7140)) \\ \hline SHSpeed (Shanghai Traffic Speed) [45] & Taxi traffic speed & Shanghai, China & 1 April to 30 2015 & [[https://github.com/xxArbiter/grnn](https://github.com/xxArbiter/grnn)]([https://github.com/xxArbiter/grnn](https://github.com/xxArbiter/grnn)) \\ \hline TaxiSZ [46] & Taxi traffic speed & Shenzhen, China & 1 January to 31 & [[https://github.com/lehaifeng/T-GCN](https://github.com/lehaifeng/T-GCN)]([https://github.com/lehaifeng/T-GCN](https://github.com/lehaifeng/T-GCN)) \\ \hline \hline \end{tabular}
\end{table} 
Table 4: The list of open GPS trajectory and relevant data.