Komitova, Rumena Raabe, Dominik Rein, Robert Memmert, Daniel
Published in
International Journal of Computer Science in Sport
Time series data mining deals with extracting useful and meaningful information from time series data. Recently, the increasing use of temporal data, in particular time series data, has received much attention in the literature. Since most of sports data contain time information, it is natural to consider the temporal dimension in form of time seri...
badhrudeen;, mohamed
This article presents a method to uncover universal patterns and similarities in the urban road networks of the 80 most populated cities in the world. To that end, we used degree distribution, link length distribution, and intersection angle distribution as topological and geometric properties of road networks. Moreover, we used ISOMAP, a nonlinear...
Bonfils, Louise Same, Allou Oukhellou, Latifa
Clustering is used in many applicative fields to organize data into a few groups. Motivated by behavioral extraction issues from urban data, this paper proposes a new clustering method to model clusters with dynamic profiles while considering common regressive effects. As maximum likelihood estimation is not suitable in this case, the parameters of...
Bonfils, Louise Same, Allou Oukhellou, Latifa
ESANN 2021, European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, Bruges, Belgique, 06-/10/2021 - 08/10/2021
Ambuhl, Lukas Loder, Allister Leclercq, Ludovic Menendez, Monica
Urban road transportation performance is the result of a complex interplay between the network supply and the travel demand. Fortunately, the framework around the macroscopic fundamental diagram (MFD) provides an efficient description of network wide traffic performance. In this paper, we show how temporal patterns of vehicle traffic define the per...
Chiabaut, Nicolas Faitout, Rémi
In this paper, a new practice-ready method for the real-time estimation of traffic conditions and travel times on highways is introduced. First, after a principal component analysis, observation days of a historical dataset are clustered. Two different methods are compared: a Gaussian Mixture Model and a k-means algorithm. The clustering results re...
RIVOIRARD, Lucas Wahl, Martine SONDI, Patrick
Routing protocols for vehicular ad hoc networks resort to clustering in order to optimize network performance. Concerning the Optimized Link State Routing (OLSR) protocol and the plethora of its derivatives, the multipoint relaying (MPR) technique has proven its efficiency as an accurate clustering scheme over the last two decades. However, it has ...
Schmutz, Amandine
With the growth of smart devices market to provide athletes and trainers a systematic, objective and reliable follow-up, more and more parameters are monitored for a same individual. An alternative to laboratory evaluation methods is the use of inertial sensors which allow following the performance without hindering it, without space limits and wit...
ALISOLTANI, Negin ZARGAYOUNA, Mahdi Leclercq, Ludovic
AICCSA 2019, 16th ACS/IEEE International Conference on Computer Systems and Applications, Abu Dhabi, EMIRATS ARABES UNIS, 03-/11/2019 - 07/11/2019
RIVOIRARD, Lucas Wahl, Martine SONDI, Patrick
Les réseaux véhiculaires Ad-Hoc (VANET) permettent d'envisager une large gamme d'applications pour les systèmes de transport intelligents, notamment des systèmes d'assistance au conducteur et d'automatisation de la conduite pour réduire le risque d'accident, améliorer la perception de l'environnement autour du véhicule et plus largement perfectionn...