Concept

Prévention et sécurité routières

Publications associées (284)

Dynamic clustering and propagation of congestion in heterogeneously congested urban traffic networks

Nikolaos Geroliminis, Mohammadreza Saeedmanesh

The problem of clustering in urban traffic networks has been mainly studied in static framework by considering traffic conditions at a given time. Nevertheless, it is important to underline that traffic is a strongly time-variant process and it needs to be ...

2017

Estimation of pedestrian origin-destination demand in train stations

Michel Bierlaire, Flurin Silvan Hänseler, Nicholas Alan Molyneaux

We present a framework for estimating pedestrian demand within a train station. It takes into account ridership data, and various direct and indirect indicators of demand. Such indicators may include link flow counts, density measurements, survey data, his ...

Informs2017

Hyperbolic Embedding for Efficient Computation of Path Centralities and Adaptive Routing in Large-Scale Complex Commodity Networks

Eleni Stai

Computing the most central nodes in large-scale commodity networks is rather important for improving routing and associated applications. In this paper, we introduce a novel framework for the analysis and efficient computation of routing path-based central ...

Ieee Computer Soc2017

Human-Comfortable Collision Free Navigation for Personal Aerial Vehicles

Dario Floreano, Felix Stephan Schill, Grégoire Hilaire Marie Heitz, Nicolas Dousse

Semi- or fully-autonomous Personal Aerial Vehicles (PAVs) are currently studied and developed by public and private organizations as a solution for traffic congestion. While optimal collision-free navigation algorithms have been proposed for autonomous rob ...

Ieee-Inst Electrical Electronics Engineers Inc2017

Probabilistic speed-density relationship for pedestrian traffic

Michel Bierlaire, Matthieu Marie Cochon de Lapparent, Bilal Farooq, Marija Nikolic

We propose a probabilistic modeling approach to represent the speed-density relationship of pedestrian traffic. The approach is data-driven, and it is motivated by the presence of high scatter in the raw data that we have analyzed. We show the validity of ...

Pergamon-Elsevier Science Ltd2016

Frequent walkers are multimodal in their actions and individualistic in their motivations, according to a qualitative study in two Swiss cities

Vincent Kaufmann, Emmanuel Pierre Jean Ravalet, Derek Pierre Christie

We define “frequent walkers” as people who walk over one hour in public space on most days of the week. Because they have successfully undergone mode shift, such pioneers have the potential to initiate change towards sustainable transportation at populatio ...

2016

Deriving a load model for the braking force on road bridges: Comparison between a deterministic and a probabilistic approach

Katrin Beyer, André-Gilles Dumont, Marc-Antoine Fénart, Glauco Feltrin

The current provisions for the braking force in the Eurocodes are much more demanding than previously enforced national codes from most European countries. Hence, safety assessments of existing bridges may show a lack of compliance with the new safety requ ...

Springer International Publishing2016

Data-driven characterization of pedestrian flows

Michel Bierlaire, Marija Nikolic

We propose a novel approach to pedestrian flow characterization. The definitions of density, flow and velocity existing in the literature are extended through a data-driven spatio-temporal discretization framework. The framework is based on three-dimension ...

2016

Modelling wet snow avalanche runout to assess road safety at a high-altitude mine in the central Andes

Nander Wever

Mining activities in cold regions are vulnerable to snow avalanches. Unlike operational facilities, which can be constructed in secure locations outside the reach of avalanches, access roads are often susceptible to being cut, leading to mine closures and ...

Copernicus GmbH2016

An Overtaking Decision Algorithm for Networked Intelligent Vehicles Based on Cooperative Perception

Alcherio Martinoli, Milos Vasic, Inaki Navarro Oiza, Gael Lederrey

This paper presents an overtaking decision algorithm for networked intelligent vehicles. The algorithm is based on a cooperative tracking and sensor fusion algorithm that we previously developed. The ego vehicle is equipped with lane keeping and lane chang ...

Ieee2016

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