A Multi-Objective Resource Pre-Allocation Scheme Using SDN for Intelligent Transportation System
Y Liu, L Huo, X Zhang, J Wu - IEEE Transactions on Intelligent …, 2023 - ieeexplore.ieee.org
As 5-th Generation (5G) mobile communication and edge computing technologies mature,
Intelligent Transportation System (ITS) are gradually becoming a reality. In the 5G …
Intelligent Transportation System (ITS) are gradually becoming a reality. In the 5G …
Tasks-oriented joint resource allocation scheme for the Internet of vehicles with sensing, communication and computing integration
J Chen, C Guo, R Lin, C Feng - China Communications, 2023 - ieeexplore.ieee.org
With the development of artificial intelligence (AI) and 5G technology, the integration of
sensing, communication and computing in the Internet of Vehicles (IoV) is becoming a trend …
sensing, communication and computing in the Internet of Vehicles (IoV) is becoming a trend …
Traffic Management of Autonomous Vehicles using Policy Based Deep Reinforcement Learning and Intelligent Routing
Deep Reinforcement Learning (DRL) uses diverse, unstructured data and makes RL
capable of learning complex policies in high dimensional environments. Intelligent …
capable of learning complex policies in high dimensional environments. Intelligent …
AoI-Aware Joint Scheduling and Power Allocation in Intelligent Transportation System: A Deep Reinforcement Learning Approach
G Bai, L Qu, J Liu, D Sun - IEEE Transactions on Vehicular …, 2023 - ieeexplore.ieee.org
In Intelligent Transportation System (ITS), information freshness is a crucial indicator for
monitoring road traffic, which is measured by Age of Information (AoI). This paper studies the …
monitoring road traffic, which is measured by Age of Information (AoI). This paper studies the …
Multiple-feature-based vehicle supply–demand difference prediction method for social transportation
Z Zhang, Y Li, H Dong - IEEE Transactions on Computational …, 2020 - ieeexplore.ieee.org
Big data for social transportation brings unprecedented opportunities for us to solve the
transportation problems that cannot be solved by traditional methods and build the next …
transportation problems that cannot be solved by traditional methods and build the next …
Knowledge-Driven Resource Allocation for Efficient Task Offloading in Connected Autonomous Vehicles
Task offloading is a potential solution for computation-intensive vehicular applications due to
limited on-board computing resources. However, traditional model-driven methods are …
limited on-board computing resources. However, traditional model-driven methods are …
Temporal Data Scheduling in Internet of Vehicles Using an Improved Decomposition-Based Multi-Objective Evolutionary Algorithm
YL Li, ZY Chai, F Tan, X Liu - IEEE Transactions on Intelligent …, 2023 - ieeexplore.ieee.org
Nowadays, Internet of Vehicles plays an important role in the emerging intelligent
transportation systems. In Internet of Vehicles, it is crucial to make appropriate temporal data …
transportation systems. In Internet of Vehicles, it is crucial to make appropriate temporal data …
Dynamic Route Guidance System Based on Real-time Vehicle-Road Collaborations with Deep Reinforcement Learning
Z Su, C Li - 2023 IEEE 98th Vehicular Technology Conference …, 2023 - ieeexplore.ieee.org
To address the potential traffic congestion in urban transportation systems, an intelligent
dynamic Route Guidance System (RGS) is proposed, which calculates the road weights with …
dynamic Route Guidance System (RGS) is proposed, which calculates the road weights with …
User scheduling and task offloading in multi-tier computing 6G vehicular network
H Zhang, L Feng, X Liu, K Long… - IEEE Journal on …, 2022 - ieeexplore.ieee.org
Many real-time application scenarios are developed in 6G communications. Driven by the
low-latency data processing requirements, multi-tier computing has become an important …
low-latency data processing requirements, multi-tier computing has become an important …
Computing resource allocation scheme of IOV using deep reinforcement learning in edge computing environment
Y Zhang, M Zhang, C Fan, F Li, B Li - EURASIP Journal on Advances in …, 2021 - Springer
With the emergence and development of 5G technology, Mobile Edge Computing (MEC)
has been closely integrated with Internet of Vehicles (IoV) technology, which can effectively …
has been closely integrated with Internet of Vehicles (IoV) technology, which can effectively …