Thierry Derrmann

Thierry Derrmann
University of Luxembourg · Interdisciplinary Centre for Security, Reliability and Trust

About

14
Publications
2,712
Reads
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311
Citations
Additional affiliations
June 2014 - present
University of Luxembourg
Position
  • PhD Student

Publications

Publications (14)
Article
We propose a novel way of linking mobile network signaling data to the state of the underlying urban road network. We show how a predictive model of traffic flows can be created from mobile network signaling data. To achieve this, we estimate the vehicular density inside specific areas using a polynomial function of the inner and exiting mobile pho...
Conference Paper
Full-text available
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...
Article
The proliferation of connected mobile devices together with advances in their sensing capacity has enabled a new distributed telematics platform. In particular, smartphones can be used as driving sensors to identify individual driver behavior and risky maneuvers. However, in order to estimate driver behavior with smartphones, the system must deal w...
Conference Paper
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) applic...
Conference Paper
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 eval...
Conference Paper
Full-text available
The country of Luxembourg possesses a road network topology that provides direct highway connectivities to its three neighbouring countries. Its economic strength attracts cross-border commuters who represent approximately half of the work force in Luxembourg. As a consequence, significant flows of vehicles coming from France, Germany and Belgium s...
Conference Paper
In recent years, due to the increasing sensing capabilities of mobile devices, smartphones have become a suitable solution for telematics systems. By combining multiple sensors, GPS information and environmental data, smartphones can be used to detect abnormal driving events that are used to compute driving scores. In this paper we propose a Multiv...
Conference Paper
In this work we propose a novel Cell Dwell Time Model that can be used to generate a synthetic population. We introduce two new metrics to define the attractivity of cell sites based on global and individual parameters obtained via the analysis of the Data For Development (D4D) Call Detail Records (CDR). We rely on the shortest path road network to...
Conference Paper
Full-text available
The analysis of Call Detail Records has captured the attention of traffic and transportation researchers to optimize people's mobility. In our work, we analyze Call Detail Records in order to extract realistic human mobility models adapted to the Senegal use case. In this paper, we describe our analysis of the available D4D datasets. The first cont...
Article
Full-text available
Today's smartphones and mobile devices typically embed advanced motion sensors. Due to their increasing market penetration, there is a potential for the development of distributed sensing platforms. In particular, over the last few years there has been an increasing interest in monitoring vehicles and driving data, aiming to identify risky driving...

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Projects

Projects (2)
Archived project
The MAMBA (MultimodAl MoBility Assistance) project intends to propose and validate a multimodal mobility platform that relies on new Internet technologies to interconnect different mobile services with the aim of providing relevant travel advice based on users’ contexts, so as to optimize overall system performance. Taking into account real time traffic conditions, the status of existing public transport services (e.g., buses, trains) and user preferences, a personalised travel assistant will proactively suggest the best transportation possibility to reach a desired destination while also balancing the load over the different transportation modes in the multimodal system.
Archived project
LuST Scenario is an open source traffic scenario built for SUMO (http://sumo.dlr.de) and compatible with Veins (http://veins.car2x.org). The scenario is freely available under the MIT license to the whole community, and it is hosted on GitHub (https://github.com/lcodeca/LuSTScenario) Features: 24 hours of synthetic mobility generated with the ACTIVITYGEN tool. 931.11 km of roads on a surface of 155.95 square kilometers. More than 500 bus stops over 35 bus routes. More than 14,000 polygons including buildings and parking lots. More than 3,000 inductive loops located on the highway and in the city.