1,767 research outputs found
iTETRIS: An Integrated Wireless and Traffic Platform for Real-Time Road Traffic Management Solutions
Wireless vehicular cooperative systems have been identified as an attractive solution to improve road traffic management, thereby contributing to the European goal of safer, cleaner, and more efficient and sustainable traffic solutions. V2V-V2I communication technologies can improve traffic management through real-time exchange of data among vehicles and with road infrastructure. It is also of great importance to investigate the adequate combination of V2V and V2I technologies to ensure the continuous and costefficient operation of traffic management solutions based on wireless vehicular cooperative solutions. However, to adequately design and optimize these communication protocols and analyze the potential of wireless vehicular cooperative systems to improve road traffic management, adequate testbeds and field operational tests need to be conducted.
Despite the potential of Field Operational Tests to get the first insights into the benefits and problems faced in the development of wireless vehicular cooperative systems, there is yet the need to evaluate in the long term and large dimension the true potential benefits of wireless vehicular cooperative systems to improve traffic efficiency. To this aim, iTETRIS is devoted to the development of advanced tools coupling traffic and wireless communication simulators
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
Smart Mobility Digital Twin Based Automated Vehicle Navigation System: A Proof of Concept
Digital twins (DTs) have driven major advancements across various industrial
domains over the past two decades. With the rapid advancements in autonomous
driving and vehicle-to-everything (V2X) technologies, integrating DTs into
vehicular platforms is anticipated to further revolutionize smart mobility
systems. In this paper, a new smart mobility DT (SMDT) platform is proposed for
the control of connected and automated vehicles (CAVs) over next-generation
wireless networks. In particular, the proposed platform enables cloud services
to leverage the abilities of DTs to promote the autonomous driving experience.
To enhance traffic efficiency and road safety measures, a novel navigation
system that exploits available DT information is designed. The SMDT platform
and navigation system are implemented with state-of-the-art products, e.g.,
CAVs and roadside units (RSUs), and emerging technologies, e.g., cloud and
cellular V2X (C-V2X). In addition, proof-of-concept (PoC) experiments are
conducted to validate system performance. The performance of SMDT is evaluated
from two standpoints: (i) the rewards of the proposed navigation system on
traffic efficiency and safety and, (ii) the latency and reliability of the SMDT
platform. Our experimental results using SUMO-based large-scale traffic
simulations show that the proposed SMDT can reduce the average travel time and
the blocking probability due to unexpected traffic incidents. Furthermore, the
results record a peak overall latency for DT modeling and route planning
services to be 155.15 ms and 810.59 ms, respectively, which validates that our
proposed design aligns with the 3GPP requirements for emerging V2X use cases
and fulfills the targets of the proposed design. Our demonstration video can be
found at https://youtu.be/3waQwlaHQkk.Comment: 15 pages, 10 figure
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