Crowdsensing has received widespread attention in recent years. It is extensively employed
in smart cities and intelligent transportation systems. This paper comprehensively surveys …

The connected and autonomous vehicles (CAV) applications and services-based traffic
make an extra burden on the already congested cellular networks. Offloading is envisioned …

Federated unlearning (FUL) is an emerging distributed machine learning paradigm which
enables the removal or unlearning of specific training data effects from trained Federated …

Traffic has been on the rise since the past decade that pose threats to driving safety and
traffic efficiency. Intelligent Transportation System (ITS) evolved as an alternative solution to …

Quality control of sensing data poses a fundamental challenge in Spatial Crowdsourcing
(SC) applications, and various incentive mechanisms have been proposed to effectively …

Augmented Intelligence of Things (AIoT) combines augmented intelligence algorithms with
the massive data collected by IoT devices, enabling more advanced decision-making. The …

Emerging intelligent public transportation systems (IPTS) enable various smart services by
collecting sensing data leveraging public transportation. However, existing researches …

The development of artificial intelligence (AI) in a variety of fields, particularly in autonomous
vehicles and traffic control. It emphasizes the historical backdrop while highlighting AI's aim …

Quantum informatics is a new subject formed by the intersection of quantum mechanics and
informatics. Quantum communication is a new way to transmit quantum states through …

Intelligent Transportation Systems (ITS) is an evolving technology that has many
applications to improve traffic safety and management. The utilization of advanced sensors …