Usage of Smartphone Data to Derive an Indicator for Collaborative Mobility between Individuals
The potential of geospatial big data has been drawing attention for a few years. Despite the larger and larger market penetration of portable technologies (nomadic and wearable devices like smartphones and smartwatches), their opportunities for travel behavior analysis are still relatively unexplored. The main objective of our study is to extract the human mobility patterns […]
Read MoreLuST-LTE: A Simulation Package for Pervasive Vehicular Connectivity
Recent technological advances in communication technology have provided new ways to understand human mobility. Connected vehicles with their rising market penetration rate are particularly representative of this trend. They become increasingly interesting not only as sensors but also as participants in Intelligent Transportation System (ITS) applications. More specifically, their pervasive connectivity to cellular networks enables […]
Read MoreLuxembourg SUMO Traffic (LuST) Scenario: Traffic Demand Evaluation
Both the industrial and the scientific communities are working on problems related to vehicular traffic congestion, intelligent transportation systems, and mobility patterns using information collected from a variety of sources. Usually, a vehicular traffic simulator, with an appropriate scenario for the problem at hand, is used to reproduce realistic mobility patterns. Many mobility simulators are […]
Read MoreHuman Mobility Profiling Using Privacy-Friendly Wi-Fi and Activity Traces
Human mobility is one of the key topics to be considered in the networks of the future, both by industrial and research communities that are already focused on multidisciplinary applications and user-centric systems. If the rapid proliferation of networks and high-tech miniature sensors makes this reality possible, the ever-growing complexity of the metrics and parameters […]
Read MoreUnderstanding User Daily Mobility Using Mobile and Wearable Sensing Systems
Recent technological advances and the ever-greater developments in sensing and computing continue to provide new ways of understanding our daily mobility. Smart devices such as smartphones or smartwatches can, for instance, provide an enhanced user experience based on different sets of built-in sensors that follow every user action and identify its environment. Monitoring solutions such […]
Read MoreTowards Privacy-Neutral Travel Time Estimation from Mobile Phone Signalling Data
Today’s mobile penetration rates enable cellular signaling data to be useful in diverse fields such as transportation planning, the social sciences and epidemiology. Of particular interest for these applications are mobile subscriber dwell times. They express how long users stay in the service range of a base station. In this paper, we want to evaluate […]
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