6,249 research outputs found
Real scenario and simulations on GLOSA traffic light system for reduced CO2 emissions, waiting time and travel time
Cooperative ITS is enabling vehicles to communicate with the infrastructure
to provide improvements in traffic control. A promising approach consists in
anticipating the road profile and the upcoming dynamic events like traffic
lights. This topic has been addressed in the French public project Co-Drive
through functions developed by Valeo named Green Light Optimal Speed Advisor
(GLOSA). The system advises the optimal speed to pass the next traffic light
without stopping. This paper presents results of its performance in different
scenarios through simulations and real driving measurements. A scaling is done
in an urban area, with different penetration rates in vehicle and
infrastructure equipment for vehicular communication. Our simulation results
indicate that GLOSA can reduce CO2 emissions, waiting time and travel time,
both in experimental conditions and in real traffic conditions.Comment: in 22nd ITS World Congress, Oct 2015, Bordeaux, France. 201
Heterogeneous V2V Communications in Multi-Link and Multi-RAT Vehicular Networks
Connected and automated vehicles will enable advanced traffic safety and
efficiency applications thanks to the dynamic exchange of information between
vehicles, and between vehicles and infrastructure nodes. Connected vehicles can
utilize IEEE 802.11p for vehicle-to-vehicle (V2V) and vehicle-to-infrastructure
(V2I) communications. However, a widespread deployment of connected vehicles
and the introduction of connected automated driving applications will notably
increase the bandwidth and scalability requirements of vehicular networks. This
paper proposes to address these challenges through the adoption of
heterogeneous V2V communications in multi-link and multi-RAT vehicular
networks. In particular, the paper proposes the first distributed (and
decentralized) context-aware heterogeneous V2V communications algorithm that is
technology and application agnostic, and that allows each vehicle to
autonomously and dynamically select its communications technology taking into
account its application requirements and the communication context conditions.
This study demonstrates the potential of heterogeneous V2V communications, and
the capability of the proposed algorithm to satisfy the vehicles' application
requirements while approaching the estimated upper bound network capacity
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