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A Novel VANET-Assisted Traffic Control for Supporting Vehicular Cloud Computing

https://doi.org/10.1109/tits.2020.2994280
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1016/j.trc.2014.08.001openalex-snapshot
A traffic congestion detection and information dissemination scheme for urban expressways using vehicular networks
inferredcites →https://doi.org/10.1049/cp:19980161openalex-snapshot
Intelligent systems for priority at traffic signals in London: the INCOME project
inferredcites →https://doi.org/10.1049/iet-its.2010.0129openalex-snapshot
Wireless sensor networks for traffic management and road safety
inferredcites →https://doi.org/10.1063/1.3047872openalex-snapshot
The Theory of Stochastic Processes
inferredcites →https://doi.org/10.1090/s0002-9947-1954-0063607-6openalex-snapshot
Diffusion Processes in One Dimension
inferredcites →https://doi.org/10.1109/aict.2009.14openalex-snapshot
Transient States of Priority Queues - A Diffusion Approximation Study
inferredcites →https://doi.org/10.1109/infocom.2008.4544658openalex-snapshot
A vehicle route management solution enabled by Wireless Vehicular Networks
inferredcites →https://doi.org/10.1109/itsc.2009.5309870openalex-snapshot
A decentralized adaptive traffic signal control using V2I communication data
inferredcites →https://doi.org/10.1109/jproc.2008.2006141openalex-snapshot
Modeling and Optimization in Traffic Flow Management
inferredcites →https://doi.org/10.1109/jsac.2014.141214openalex-snapshot
Sustainability Analysis and Resource Management for Wireless Mesh Networks with Renewable Energy Supplies
inferredcites →https://doi.org/10.1109/jsyst.2018.2806996openalex-snapshot
Traffic-Aware VANET Routing for City Environments—A Protocol Based on Ant Colony Optimization
inferredcites →https://doi.org/10.1109/mis.2008.112openalex-snapshot
Toward a Revolution in Transportation Operations: AI for Complex Systems
inferredcites →https://doi.org/10.1109/surv.2012.101912.00184openalex-snapshot
Vehicular Networks for a Greener Environment: A Survey
inferredcites →https://doi.org/10.1109/tits.2010.2060218openalex-snapshot
Parallel Control and Management for Intelligent Transportation Systems: Concepts, Architectures, and Applications
inferredcites →https://doi.org/10.1109/tits.2014.2336266openalex-snapshot
Optimization of Evacuation Traffic Management With Intersection Control Constraints
inferredcites →https://doi.org/10.1109/tits.2015.2423667openalex-snapshot
Routing in Internet of Vehicles: A Review
inferredcites →https://doi.org/10.1109/tvt.2013.2241460openalex-snapshot
Adaptive Traffic Signal Control With Vehicular Ad hoc Networks
inferredcites →https://doi.org/10.1109/tvt.2015.2480004openalex-snapshot
Toward Vehicle-Assisted Cloud Computing for Smartphones
inferredcites →https://doi.org/10.1112/blms/8.3.326aopenalex-snapshot
THE THEORY OF STOCHASTIC PROCESSES 1
inferredcites →https://doi.org/10.1145/1644038.1644048openalex-snapshot
VTrack
inferredcites →https://doi.org/10.1145/321879.321888openalex-snapshot
On Approximate Computer System Models
inferredcites →https://doi.org/10.1201/9781420062700openalex-snapshot
Optimal Traffic Control
inferredcites →https://doi.org/10.20381/ruor-4963openalex-snapshot
Performance Improvement for Wireless Mesh Networks with Renewable Energy Source

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4145214openalex-extracted
A Performance Modeling of Dynamic Vehicular Clouds
inferred← citeshttps://doi.org/10.1007/978-981-19-2347-0_67openalex-snapshot
GPS-Based Route Choice Model for Smart Transportation System: Bringing Intelligence into Vehicular Cloud
inferred← citeshttps://doi.org/10.1007/s11277-023-10844-zopenalex-snapshot
Domain-Based Address Configuration for Vehicular Networks
inferred← citeshttps://doi.org/10.1007/s11277-023-10853-yopenalex-snapshot
Mobility Handover in VANET
inferred← citeshttps://doi.org/10.1016/b978-0-44-327726-9.00015-0openalex-snapshot
Integration of edge-enabled IoT in vehicular networks in smart cities
inferred← citeshttps://doi.org/10.1016/b978-0-443-13402-9.00010-5openalex-snapshot
Digital infrastructure
inferred← citeshttps://doi.org/10.1016/j.comnet.2020.107484openalex-snapshot
Artificial intelligence-based vehicular traffic flow prediction methods for supporting intelligent transportation systems
inferred← citeshttps://doi.org/10.1109/access.2024.3441949openalex-snapshot
Internet-of-Vehicles Network for CO₂ Emission Estimation and Reinforcement Learning-Based Emission Reduction
inferred← citeshttps://doi.org/10.1109/bsc57238.2023.10201819openalex-snapshot
Towards Modeling Computation Capacity of a Vehicular Cloud While Overcoming Resource Volatility
inferred← citeshttps://doi.org/10.1109/comst.2024.3370169openalex-snapshot
Vehicle as a Service (VaaS): Leverage Vehicles to Build Service Networks and Capabilities for Smart Cities
inferred← citeshttps://doi.org/10.1109/icacrs62842.2024.10841671openalex-snapshot
Secure Channel Creation for Task Delivery in Vehicular Cloud Computing to Avoid Denial of Service (DoS)
inferred← citeshttps://doi.org/10.1109/icc52391.2025.11162117openalex-snapshot
Aligning Priorities: Interconnecting Vehicular Cloud Using IEEE 802.11bd Communications
inferred← citeshttps://doi.org/10.1109/icnc57223.2023.10074524openalex-snapshot
Analysis of Job Completion Time in Vehicular Cloud Under Concurrent Task Execution
inferred← citeshttps://doi.org/10.1109/icoin68469.2026.11480547openalex-snapshot
AI-Driven Vehicular Data Mining and Route Navigation for Advance ITS: Integrating V2X, Cloud Computing and Big Data Analytics
inferred← citeshttps://doi.org/10.1109/icumt61075.2023.10333298openalex-snapshot
Efficiency of VANET Routing Algorithms in Traffic Use Cases
inferred← citeshttps://doi.org/10.1109/jiot.2025.3554484openalex-snapshot
Vehicular Cloud With Threshold-Based Prioritized Task Service and IEEE 802.11bd Communication
inferred← citeshttps://doi.org/10.1109/jiot.2025.3559151openalex-snapshot
Privacy-Preserving Autonomous Vehicle Group Formation in a Collusive Attack Scenario
inferred← citeshttps://doi.org/10.1109/lcn53696.2022.9843398openalex-snapshot
Towards Job Completion Time in Vehicular Cloud by Overcoming Resource Volatility
inferred← citeshttps://doi.org/10.1109/sm63044.2024.10733469openalex-snapshot
Performance Assessment of Vehicular Cloud Systems: An Analytical Approach Using M/G/m Queueing Model
inferred← citeshttps://doi.org/10.1109/tifs.2024.3356809openalex-snapshot
Secure Channel Establishment Scheme for Task Delivery in Vehicular Cloud Computing
inferred← citeshttps://doi.org/10.1109/tits.2021.3119132openalex-snapshot
Intelligent 3D Objects Classification for Vehicular Ad Hoc Network Based on Lidar and Deep Learning Approaches
inferred← citeshttps://doi.org/10.1109/tits.2021.3139738openalex-snapshot
2021 Index IEEE Transactions on Intelligent Transportation Systems Vol. 22
inferred← citeshttps://doi.org/10.1109/tits.2022.3152677openalex-snapshot
Artificial Intelligence-Based Energy Efficient Communication System for Intelligent Reflecting Surface-Driven VANETs
inferred← citeshttps://doi.org/10.1109/tits.2023.3234559openalex-snapshot
Amalgamating Vehicular Networks With Vehicular Clouds, AI, and Big Data for Next-Generation ITS Services
inferred← citeshttps://doi.org/10.1109/tsusc.2021.3138926openalex-snapshot
FECO: An Efficient Deep Reinforcement Learning-Based Fuel-Economic Traffic Signal Control Scheme
inferred← citeshttps://doi.org/10.1109/tvt.2020.3036631openalex-snapshot
ARFV: An Efficient Shared Data Auditing Scheme Supporting Revocation for Fog-Assisted Vehicular Ad-Hoc Networks
inferred← citeshttps://doi.org/10.1109/tvt.2026.3674840openalex-snapshot
Enhancing C-V2X With Blockchain and Zero-Knowledge Proofs for Improved Privacy and Trustworthiness
inferred← citeshttps://doi.org/10.1109/wimob58348.2023.10187866openalex-snapshot
Robotaxis as Computing Clusters: A Stochastic Modeling Approach
inferred← citeshttps://doi.org/10.1145/3416012.3424632openalex-snapshot
Empirical Study and Analysis of the Impact of Traffic Flow Control at Road Intersections on Vehicle Energy Consumption
inferred← citeshttps://doi.org/10.1145/3551659.3559047openalex-snapshot
A Novel Mixed Method of Machine Learning Based Models in Vehicular Traffic Flow Prediction
inferred← citeshttps://doi.org/10.3390/s21217330openalex-snapshot
Predictive Intelligent Transportation: Alleviating Traffic Congestion in the Internet of Vehicles
inferred← citeshttps://doi.org/10.3837/tiis.2021.04.007openalex-snapshot
Towards the Saturation Throughput Disparity of Flows in Directional CSMA/CA Networks: An Analytical Model
inferred← citeshttps://doi.org/10.46300/9106.2022.16.73openalex-snapshot
Intelligent Network Traffic Control Based on Deep Reinforcement Learning
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