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Vehicular ad hoc networks for joint traffic and mobility management
2013
2013 5th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT)
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As for traffic management, the focus is made on collaborative routing and green light speed advisory. ...
We introduce a generic system architecture based on buses that can support traffic-and mobility-related applications relying on VANETs. ...
ACKNOWLEDGMENT This work has been founded by MobiTraff Project (INTER-PolLux programme) financed by National Research Fund (FNR, Luxembourg) and National Centre for Research and Development (NCBR, Poland ...
doi:10.1109/icumt.2013.6798397
dblp:conf/icumt/SeredynskiAMSK13
fatcat:swcuxfm5lfcg3klsw33g3ojcem
Distributed Vehicular Computing at the Dawn of 5G: a Survey
[article]
2022
arXiv
pre-print
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Addressing such constraints introduces significant challenges for current communication and computing technologies. ...
Relatedly, the fifth generation of cellular networks (5G) was developed to respond to communication challenges by providing for low-latency, high-reliability, and high bandwidth communications. ...
For instance, the system might change the duration of a traffic light phase based on road occupancy. ...
arXiv:2001.07077v2
fatcat:ixgjkwdx6zdsvfcpviptpf32by
Connected Vehicles: Solutions and Challenges
2014
IEEE Internet of Things Journal
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Providing various wireless connectivity for vehicles enables the communication between vehicles and their internal and external environments. ...
Such a connected vehicle solution is expected to be the next frontier for automotive revolution and the key to the evolution to next generation intelligent transportation systems. ...
It is noteworthy that there is a lack of unified channel model that can be applied for all scenarios (e.g., urban, rural, and highway), and the existing channel models, only for a specific scenario, have ...
doi:10.1109/jiot.2014.2327587
fatcat:66ry4jcgtvegfihtjvvej2ouy4
Integration of Vehicular Clouds and Autonomous Driving: Survey and Future Perspectives
[article]
2022
arXiv
pre-print
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In this article, we first present a comprehensive survey and an overview of the emerging key challenges related to the two worlds of Vehicular Clouds (VCs) including communications, networking, traffic ...
For decades, researchers on Vehicular Ad-hoc Networks (VANETs) and autonomous vehicles presented various solutions for vehicular safety and autonomy, respectively. ...
Kaiwartya et al. proposed a new routing protocol, Traffic light-based Time Stable Geocast (T-TSG) [77] , for disseminating accident messages in urban vehicular environments by considering the traffic ...
arXiv:2201.02893v2
fatcat:bqnscosmqrfdvihexa4mhqv2dy
Potential for ITS/ICT Solutions in Urban Freight Management
2016
Transportation Research Procedia
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The first stage may involve modelling and analysis of freight vehicle traffic with new multilevel transport model for Gdynia. ...
Recommendations for urban freight policy development supplementing Gdynia's Sustainable Urban Mobility Plan were used as a basis for identification where ITS/ITC could be implemented. ...
(V2I) communication would supply freight operators and drivers with information on traffic obstructions. ...
doi:10.1016/j.trpro.2016.11.041
fatcat:7itt2kfbojcgzldri6nti5vp7a
Traffic Congestion Detection System through Connected Vehicles and Big Data
2016
Sensors
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of Urban MObility) traffic simulator and the Veins vehicular network framework. ...
This article discusses the simulation and evaluation of a traffic congestion detection system which combines inter-vehicular communications, fixed roadside infrastructure and infrastructure-to-infrastructure ...
communication (V2I) [63] . ...
doi:10.3390/s16050599
pmid:27136548
pmcid:PMC4883290
fatcat:bxrzg3kcozdeveysyt52lojkny
Autonomous Vehicles: Open-Source Technologies, Considerations, and Development
[article]
2022
arXiv
pre-print
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Third, we will review popular open-source driving simulators, a cost-effective way to train machine learning models and test vehicle software performance. ...
It will focus on open-source tools and libraries for autonomous vehicle development, making it cheaper and easier for developers and researchers to participate in the field. ...
V2I connects to Road-side Units (RSU) and traffic lights to the network. ...
arXiv:2202.03148v1
fatcat:nwnhy4r2kvawbgitr52lbtxxym
Sensors for Sustainable Smart Cities: A Review
2021
Applied Sciences
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Smarter communities are those that socialize, adapt, and invest through transparent and inclusive community engagement in these technologies based on local and regional societal needs and values. ...
Thus, one of the steps towards sustainability for cities around the world is to make a transition into smart cities. ...
Therefore, providing solutions for traffic jams represents a direct positive impact in terms of urban mobility and air quality in cities. ...
doi:10.3390/app11178198
fatcat:btsmetii4ndu7ag32u2zq62umq
Machine learning for next‐generation intelligent transportation systems: A survey
2021
Transactions on Emerging Telecommunications Technologies
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Intelligent transportation systems, or ITS for short, includes a variety of services and applications such as road traffic management, traveler information systems, public transit system management, and ...
ITS are expected to be an integral part of urban planning and future smart cities, contributing to improved road and traffic safety, transportation and transit efficiency, as well as to increased energy ...
ACKNOWLEDGMENTS This work was partly funded by Inria, supported by the French ANR "Investments for the Future" Program reference #ANR-11-LABX-0031-01, and UNICAMP, through the FAPESP Grant number #2017 ...
doi:10.1002/ett.4427
fatcat:ckkpq4vh5be3jg5ouhwhxdvbna
The Real Deal: A Review of Challenges and Opportunities in Moving Reinforcement Learning-Based Traffic Signal Control Systems Towards Reality
[article]
2022
arXiv
pre-print
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Traffic signal control (TSC) is a high-stakes domain that is growing in importance as traffic volume grows globally. ...
However, more work should take a systems thinking approach that considers the impacts of other pipeline components on RL. ...
Acknowledgments The authors thank Christian Kästner, Eunsuk Kang, Stephanie Milani, Peide Huang, Ryan Shi, and Steven Jecmen for useful information and suggestions that they provided to support the drafting ...
arXiv:2206.11996v2
fatcat:jwwnydngozegjcuvsbfzodqpfi
Cloud Control System Architectures, Technologies and Applications on Intelligent and Connected Vehicles: a Review
2021
Chinese Journal of Mechanical Engineering
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Intelligent and connected vehicles (ICV) cloud control system (CCS) has been introduced as a new concept as it is a potentially synthetic solution for high level automated driving to improve safety and ...
optimize traffic flow in intelligent transportation. ...
However, for ICV CCS, V2X is more than just a sensor but also a communication pipeline to exchange data between vehicles and cloud control platform. ...
doi:10.1186/s10033-021-00638-4
fatcat:32pl6levhfbsrprxfwct76vfzu
Evolutionary Computation for Intelligent Transportation in Smart Cities: A Survey [Review Article]
2022
IEEE Computational Intelligence Magazine
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In this paper, a twolayer taxonomy is introduced to review the research of evolutionary computation for intelligent transportation in smart cities. ...
A detailed review of related studies is presented based on the twolayer taxonomy. Future research directions and open issues are also discussed to inspire researchers. ...
FIGURE 2 2 FIGURE 2Example of a vehicular network with V2I and V2V communications.
FIGURE 3 3 FIGURE 3 Two examples of a traffic light signal phase. (a) Signal phase for the up-down direction. ...
doi:10.1109/mci.2022.3155330
fatcat:jepishz62jemhloum6zhkmxscy
Simulation Tools
[chapter]
2018
Intelligent Vehicles
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/ edge-based network performance information (vehicular noise emission based on HARMONOISE model), simulated detectors, and traffic lights information, among others. ...
They are the gas-kinetic (GKT) traffic flow models, for example, the one used by Delis (2015) for modeling traffic flow with adaptive cruise control. ...
doi:10.1016/b978-0-12-812800-8.00010-2
fatcat:ttp5rboeond4taxu4n3annzeou
Adversarial Attacks and Defense in Deep Reinforcement Learning (DRL)-Based Traffic Signal Controllers
2021
IEEE Open Journal of Intelligent Transportation Systems
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Combining deep neural networks with reinforcement learning (RL) models called DRL shows promising results when applied to urban Traffic Signal Control (TSC) for adaptive adjustment of traffic light schedules ...
The attacks are simulated on different DRL-based TSC algorithms in a single intersection and multiple intersections. ...
Traffic signal controller (TSC), which schedules the green/yellow/red phases at road intersections, plays a critical role in ITS, especially in busy urban settings. ...
doi:10.1109/ojits.2021.3118972
fatcat:fbtbpwn4yrgh3k2yzxqvorq3qq
Deep urban unaided precise Global Navigation Satellite System vehicle positioning
[article]
2020
arXiv
pre-print
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Development and evaluation of the unaided GNSS-based precise positioning system is a key milestone toward the overall goal of combining precise GNSS, vision, radar, and inertial sensing for all-weather ...
A performance sensitivity analysis reveals that navigation data wipeoff for fully-modulated GNSS signals and a dense reference network are key to high-performance urban RTK positioning. ...
ACKNOWLEDGMENTS The authors wish to thank iXblue engineers Jean-Baptiste Lacambre and Tim Barford for providing the ground truth trajectory based on the iXblue ATLANS-C system. ...
arXiv:1906.09539v2
fatcat:elprzhyaprh3bm6ioro2ga4hgq
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