Improving commute experience for private car users via blockchain-enabled multitask learning

J Yang, K Yang, Z Xiao, H Jiang, S Xu… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
With deepening urbanization and Internet of Vehicles (IoV) applications, the number of
private cars has been increasing in recent years. However, because the surging number of …

Blockchain-enabled intelligent transportation systems: a distributed crowdsensing framework

Z Ning, S Sun, X Wang, L Guo, S Guo… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
Intelligent Transportation System (ITS) is critical to cope with traffic events, eg, traffic jams
and accidents, and provide services for personal traveling. However, existing researches …

A systematic literature review on blockchain enabled federated learning framework for internet of vehicles

M Billah, ST Mehedi, A Anwar, Z Rahman… - arXiv preprint arXiv …, 2022 - arxiv.org
While the convergence of Artificial Intelligence (AI) techniques with improved information
technology systems ensured enormous benefits to the Internet of Vehicles (IoVs) systems, it …

Deep -Network-Based Route Scheduling for TNC Vehicles With Passengers' Location Differential Privacy

D Shi, J Ding, SM Errapotu, H Yue, W Xu… - IEEE Internet of …, 2019 - ieeexplore.ieee.org
The transportation network company (TNC) services efficiently pair the passengers with the
vehicles/drivers through mobile applications, such as Uber, Lyft, Didi, etc. TNC services …

Deep reinforcement learning based performance optimization in blockchain-enabled internet of vehicle

M Liu, Y Teng, FR Yu, VCM Leung… - ICC 2019-2019 IEEE …, 2019 - ieeexplore.ieee.org
The rapid development of Internet of Vehicles (IoV) necessitates a secure and reliable
infrastructure to store and share the massive data. Blockchain, a distributed and immutable …

Secure crowdsensing in 5G internet of vehicles: When deep reinforcement learning meets blockchain

S Wang, S Sun, X Wang, Z Ning… - IEEE Consumer …, 2020 - ieeexplore.ieee.org
Vehicular crowdsensing has been widely leveraged in the intelligent transportation systems
to collect real-time traffic data. However, the data security and privacy preservation issues …

Blockchain and deep reinforcement learning empowered spatial crowdsourcing in software-defined internet of vehicles

H Lin, S Garg, J Hu, G Kaddoum… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
Owing to its benefits such as flexibility, scalability, and interoperability, Software-Defined
Networking (SDN) has been incorporated into Internet of Vehicles (IoV) to cope with the …

TrafficChain: A blockchain-based secure and privacy-preserving traffic map

Q Wang, T Ji, Y Guo, L Yu, X Chen, P Li - Ieee Access, 2020 - ieeexplore.ieee.org
Intelligent Connected Vehicles (ICVs) can provide smart, safe, and efficient transportation
services and have attracted intensive attention recently. Obtaining timely and accurate traffic …

An attention-based deep learning framework for trip destination prediction of sharing bike

W Wang, X Zhao, Z Gong, Z Chen… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
With the advancement of communication technology and location acquisition technology in
the context of modern smart cities, the sharing bike systems offer users the great autonomy …

Blockchain and federated edge learning for privacy-preserving mobile crowdsensing

Q Hu, Z Wang, M Xu, X Cheng - IEEE Internet of Things Journal, 2021 - ieeexplore.ieee.org
Mobile crowdsensing (MCS) counting on the mobility of massive workers helps the
requestor accomplish various sensing tasks with more flexibility and lower cost. However, for …