City governments all over the world face challenges understanding mobility patterns within
dense urban environments at high spatial and temporal resolution. While such measures …

We study six months of human mobility data, including WiFi and GPS traces recorded with
high temporal resolution, and find that time series of WiFi scans contain a strong latent …

In this paper, we present a systematic analysis of large-scale human mobility patterns
obtained from a passive Wi-Fi tracking system, deployed across different location typologies …

New streams of data are being generated by a range of in-situ instrumentation, mobile
sensing, and social media that can be integrated and analyzed to better understand urban …

The optimization of logistics in large building complexes with many resources, such as
hospitals, require realistic facility management and planning. Current planning practices rely …

Mobile sensing systems employ various sensors in smartphones to extract human-related
information. As the demand for sensing systems increases, a more effective mechanism is …

In this paper, we propose a methodology to use the communication network infrastructure, in
particular WiFi traces, to detect the sequence of activity episodes visited by pedestrians. Due …

While WiFi was initially designed as a local-area access network, mesh networking
technologies have led to increasingly expansive deployments of WiFi networks. In urban …

This chapter presents the iSPOTS project, which collects and maps data of WiFi usage on
the Massachusetts Institute of Technology campus in Cambridge, Boston. Instead of simply …

While WiFi was initially designed as a local-area access network, mesh networking
technologies have led to increasingly expansive deployments of WiFi networks. In urban …