Ad hoc communication between intelligent vehicles

International audienceWireless ad hoc networks are composed of mobile autonomous nodes, and can work without any fiwed infrastructure or centralised entity. Moreover, they are adaptive and self-configurating. These kind of networks are well suited for inter-vehicles communication and information exchange (used for tele-traffic management for example). Depending on the context, some of these information need to be sent to almost all the network, and other information need to be sent to a smaller subset of vehicles

A Cooperative Personal Automated Transport System - A CityMobil Demonstration in Rocquencourt

International audienceThis article tackles the problem of the autonomous navigation and coordination of multiple driverless vehicles for the transport of persons or goods in outdoor environments. The system composed of fully automated road vehicles, capable of providing an effective transportation service, was recently tested at the city of La Rochelle. This same system was further improved, and a new demonstration was performed at Inria Rocquencourt, in order to demonstrate the validity of the concepts for a coordinated navigation in the presence of ambiguous and conflictual situations in a mixed environment. The originality of the approach relies on the use of new cooperative concepts and their combination with advanced perception tasks operating simultaneously on several robots. This system was developed in the context of the European project CityMobil

Cybernetic Transportation Systems Design and Development: Simulation Software cybercars

The growing number of vehicles saturates cities in terms of congestion and pollution. A Cybernetic Transportation System (CTS) appears to be a way to resolve those problems. Based on a network of clean driverless vehicles (the cybercars), CTS aims to improve safety and organization of urban transport by providing a door-to-door complement to efficient and fast mass transport. The simulation software presented in this paper has a goal to facilitate the development of such a transportation system. It simulates several cybercars in a dynamic virtual 3D environment, and provides sensors information in real vehicles. As it is easy to create scenarios containing various static and moving obstacles, evaluation of control algorithms in several situations is its main feature. The adopted architecture for the simulation tool also enables evaluation of road traffic scenarios constructed on various levels of interaction or cooperation among cybercars

Cybercar Cooperation for Safe Intersections

voir basilic : http://emotion.inrialpes.fr/bibemotion/2006/BPLFP06/ address: Toronto, ON (CA)The paper addresses the problem of motion autonomy of Cybercars across a urban intersection. Cybercars are small electric city vehicles aimed at navigating autonomously. In the context of a crossing, the motion generation together with its safety are critical issues. The proposed approach to the problem lies in the coupling of perception and planning capabilities. A new car to car communication algorithm provides necessary information to a trajectory planner capable of iteratively generate safe trajectories within a dynamic environment in order to drive Cybercars safely through the intersection. The main contributions of this work are the development and integration of these modules into one single application, considering explicitly the constraints related to the environment and the system and to provide an original answer to the problem of intelligent crossing

An on-demand personal automated transport system: The CityMobil demonstration in La Rochelle

International audienceThe objective of the CityMobil project is to achieve a more effective organisation of urban transport, resulting in a more rational use of motorised traffic with less congestion and pollution, safer driving, a higher quality of living and an enhanced integration with spatial development. This objective is brought closer by developing integrated traffic solutions: advanced concepts for innovative autonomous and automated road vehicles for passengers and goods, embedded in an advanced spatial setting. This paper presents the automated road vehicles service demonstration to be held in La Rochelle in 2011

The added value of the multi-system spread information for ocean heat content and steric sea level investigations in the CMEMS GREP ensemble reanalysis product

Since 2016, the Copernicus Marine Environment Monitoring Service (CMEMS) has produced and disseminated an ensemble of four global ocean reanalyses produced at eddy-permitting resolution for the period from 1993 to present, called GREP (Global ocean Reanalysis Ensemble Product). This dataset offers the possibility to investigate the potential benefits of a multi-system approach for ocean reanalyses, since the four reanalyses span by construction the same spatial and temporal scales. In particular, our investigations focus on the added value of the information on the ensemble spread, implicitly contained in the GREP ensemble, for temperature, salinity, and steric sea level studies. It is shown that in spite of the small ensemble size, the spread is capable of estimating the flow-dependent uncertainty in the ensemble mean, although proper re-scaling is needed to achieve reliability. The GREP members also exhibit larger consistency (smaller spread) than their predecessors, suggesting advancement with time of the reanalysis vintage. The uncertainty information is crucial for monitoring the climate of the ocean, even at regional level, as GREP shows consistency with CMEMS high-resolution regional products and complement the regional estimates with uncertainty estimates. Further applications of the spread include the monitoring of the impact of changes in ocean observing networks; the use of multi-model ensemble anomalies in hybrid ensemble-variational retrospective analysis systems, which outperform static covariances and represent a promising application of GREP. Overall, the spread information of the GREP product is found to significantly contribute to the crucial requirement of uncertainty estimates for climatic datasets.Data from the reanalyses presented in this work are available from the Copernicus Marine Environment Monitoring Service (CMEMS, http://marine.copernicus.eu/). Part of this work was supported by the EOS COST Action (“Evaluation of Ocean Synthesis”, http://eos-cost.eu/) through its Short Term Scientific Missions program. The full C-GLORS dataset is available at http://c-glors.cmcc.it. This work has received funding from the Copernicus Marine Environment Monitoring Service (CMEMS).Published287-3124A. Oceanografia e climaJCR Journa

Le FORUM, Vol. 38 No. 2

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