VANET Applications: Hot Use Cases

Current challenges of car manufacturers are to make roads safe, to achieve free flowing traffic with few congestions, and to reduce pollution by an effective fuel use. To reach these goals, many improvements are performed in-car, but more and more approaches rely on connected cars with communication capabilities between cars, with an infrastructure, or with IoT devices. Monitoring and coordinating vehicles allow then to compute intelligent ways of transportation. Connected cars have introduced a new way of thinking cars - not only as a mean for a driver to go from A to B, but as smart cars - a user extension like the smartphone today. In this report, we introduce concepts and specific vocabulary in order to classify current innovations or ideas on the emerging topic of smart car. We present a graphical categorization showing this evolution in function of the societal evolution. Different perspectives are adopted: a vehicle-centric view, a vehicle-network view, and a user-centric view; described by simple and complex use-cases and illustrated by a list of emerging and current projects from the academic and industrial worlds. We identified an empty space in innovation between the user and his car: paradoxically even if they are both in interaction, they are separated through different application uses. Future challenge is to interlace social concerns of the user within an intelligent and efficient driving

On the Importance of Real Data for Microscopic Urban Vehicular Mobility Trace

International audienceVehicular networks reflect user mobility behavior and present complex microscopic and macroscopic mobility patterns. Microscopic mobility is often simplified in macroscopic systems and we argue that its impact is too largely neglected. Notwithstanding improvements in realistically modeling and predicting mobility, few vehicular traces-especially complex microscopic ones-are available to validate such models. In this paper, we present a realistic synthetic dataset of vehicular mobility over two daily traffic peaks in a small area: the Europarc roundabout in the town of Creteil, France. We outline how the description and comprehensive representation of local mobility at an intersection, such as the roundabout chosen here, is important for any interpretation made of it

Efficient Vehicular Crowdsourcing Models in VANET for Disaster Management

International audienceRoute planning in a vehicular network is a well known problem. Static solutions for finding a shortest path have proven their efficiency, however in a dynamic network such as a vehicular network, they are confronted to dynamic costs (travel time, consumption, waiting time, ...) and time constraints (traffic peaks, ghost traffic jam, accidents ...). This is a practical problem faced by several services providers on traffic information who want to offer a realistic computation of a shortest path. This paper propose a model based on the communication between vehicles (Vehicle to Vehicle: V2V) to reduce the time spend by travels taking into account the travel time registered and exchanged between vehicles in real time. In our model, vehicles act as ants and they choose their itineraries thanks to a pheromone map affected by the phenomenon of evaporation. The presented algorithms are evaluated in real world traffic networks and by modeling and simulating extreme cases such as accidents, act of terrorism and disasters

Resilient, Decentralized V2V Online Stop-Free Strategy in a Complex Roundabout

International audienceRoad intersections are considered to be bottlenecks for urban transportation whose impacts are longer travel times and wasted human resources. In this paper we focus on vehicle to vehicle communications (V2V) that allow exchanging data between vehicles. Considering that vehicles are controlled by drivers (not autonomous), we do not pretend to take control of them, nor is the goal to avoid collision or improve safety, as is often done elsewhere. By eliminating the potential overlaps of vehicular trajectories coming from all opposing directions at an intersection, our aim is to demonstrate the potential of communication between vehicles in a complex roundabout and test the connexion strength of that network. We test it on a synthetic trace that reproduces a real traffic flow at a roundabout in Creteil (France)

VANET Applications: Hot Use Cases

Current challenges of car manufacturers are to make roads safe, to achieve free flowing traffic with few congestions, and to reduce pollution by an effective fuel use. To reach these goals, many improvements are performed in-car, but more and more approaches rely on connected cars with communication capabilities between cars, with an infrastructure, or with IoT devices. Monitoring and coordinating vehicles allow then to compute intelligent ways of transportation. Connected cars have introduced a new way of thinking cars - not only as a mean for a driver to go from A to B, but as smart cars - a user extension like the smartphone today. In this report, we introduce concepts and specific vocabulary in order to classify current innovations or ideas on the emerging topic of smart car. We present a graphical categorization showing this evolution in function of the societal evolution. Different perspectives are adopted: a vehicle-centric view, a vehicle-network view, and a user-centric view; described by simple and complex use-cases and illustrated by a list of emerging and current projects from the academic and industrial worlds. We identified an empty space in innovation between the user and his car: paradoxically even if they are both in interaction, they are separated through different application uses. Future challenge is to interlace social concerns of the user within an intelligent and efficient driving

Microscopic vehicular mobility trace of Europarc roundabout, Creteil, France

Understanding the dynamics of vehicles is a major issue in smart citiesevolution. Most intelligent transportation systems concentrate on macro-mobility with centralized decisions and global optimizations for wholecities. With the great development of autonomous cars and vehicle-to-vehiculecommunication systems, micro-mobility is again of special importance foropportunistic data dissemination and local decisions - for instance whenarriving at traffic lights or when vehicles meet.Simulation tools are widely used to evaluate assumption correctness andperformances of optimization algorithms. Several macroscopic vehicularmobility trace exist, but few detailed ones at the microscopic level. Most ofmacro traces integrate simplistic models for intersections and roundabout,while the complexity of this fine-grained mobility can greatly affect theglobal optimization. For that purpose, we propose a dataset describing acomplex roundabout in Creteil, France

Computational 2D and 3D extraction of liver mouse vasculature within synchrotron radiation X-ray phase tomography

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