- DISCO: Ultra-Lightweight Mobility Discovery
Capturing individual mobility patterns has become a crucial issue for a tremendous number of applications, often requiring the use of privacy-invasive or energy-consuming sensors and online services. In parallel to this, the proliferation of wireless network access points (APs), scattered in a very dense manner in many geographical areas, is now opening up new technological […]
- MAMBA: A Platform for Personalised Multimodal Trip Planning
In recent years, multimodal transportation has become a challenging approach to route planning. Most existing planning systems usually rely on data sourced from different organisations, enabling the user to select a limited number of routing strategies. As part of the MAMBA project, developed in Luxembourg until 2017, we have been interested in the potential benefits […]
- LuST-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 […]
- Luxembourg 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 […]
- Human 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 […]
- Characterizing the Topology of an Urban Wireless Sensor Network for Road Traffic Management
In a near future, wireless networks will be one of the key technologies for road traffic management in smart cities. Vehicles and dedicated roadside units should be interconnected through wireless technologies such as IEEE 802.11p (WAVE). Traffic light and road signs may also take their place in this architecture, forming a large-scale network of small […]
- SWIPE: Monitoring Human Dynamics using Smart Devices
SWIPE is a platform for sensing, recording and processing human dynamics using smart devices. The idea behind this type of system, which exists for the most part on smartphones, is to consider new metrics from wearables — in our case smartwatches. These new devices, used in parallel with traditional smartphones, provide clear indicators of the […]
- Using Wearables to Learn from Human Dynamics
Recent technological advances have allowed the development of miniaturized sensors and the emergence of a wide range of connected objects. Whether it’s smartphones or in the broader sense wearables, the diversity of these devices and their accessibility opens up new fields for applications in the computer sciences [2, 3]. Smartwatches, which are experiencing a boom […]
- Influence of radio communications on multiple intersection control by a wireless sensor network
In this paper, we describe and enhance TAPIOCA (distribuTed and AdaPtive IntersectiOns Control Algorithm), a distributed algorithm that relies on a wireless sensor network to manage urban road traffic efficiently. We detail TAPIOCA with a special emphasis on communications and we study its reaction to losses and delays induced by the use of wireless communication. […]
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