ACP-based modeling of the parallel vehicular crowd sensing system: Framework, components and an application example
As an emerging paradigm for urban sensing, vehicular crowd sensing (VCS) has received
increasing attention in recent years. Unlike traditional sensing paradigms, VCS leverages …
increasing attention in recent years. Unlike traditional sensing paradigms, VCS leverages …
When Crowdsensing Meets Smart Cities: A Comprehensive Survey and New Perspectives
Crowdsensing has received widespread attention in recent years. It is extensively employed
in smart cities and intelligent transportation systems. This paper comprehensively surveys …
in smart cities and intelligent transportation systems. This paper comprehensively surveys …
Ship: a state-aware hybrid incentive program for urban crowd sensing with for-hire vehicles
Benefiting from unified sensors and long-term traffic engagement, for-hire vehicles (FHVs)
are widely considered the mainstay for vehicular crowd sensing (VCS) tasks. However …
are widely considered the mainstay for vehicular crowd sensing (VCS) tasks. However …
A crowd-aided vehicular hybrid sensing framework for intelligent transportation systems
In traditional practices of transportation system's constructions, traffic-related information is
collected based on dedicated sensor networks, which are not only coverage-limited but also …
collected based on dedicated sensor networks, which are not only coverage-limited but also …
Integrating Machine Learning Into Vehicle Routing Problem: Methods and Applications
R Shahbazian, LDP Pugliese, F Guerriero… - IEEE …, 2024 - ieeexplore.ieee.org
The vehicle routing problem (VRP) and its variants have been intensively studied by the
operational research community. The existing surveys and the majority of the published …
operational research community. The existing surveys and the majority of the published …
Destination-Oriented Data Collection and Uploading for Mobile Crowdsensing with Multi-Agent Deep Reinforcement Learning
C Xu, W Song - IEEE Internet of Things Journal, 2023 - ieeexplore.ieee.org
Data collection and uploading are among the most fundamental problems in an mobile
crowdsensing (MCS) system and involve complicated interactions among the system's …
crowdsensing (MCS) system and involve complicated interactions among the system's …
Trading off Coverage and Emergency for Hybrid Task Scheduling in Traffic Anomaly Detection
X Liu, Y Chen, S Pang - IEEE Transactions on Mobile …, 2024 - ieeexplore.ieee.org
Traffic anomaly detection in road networks is vital for patrol participants to adaptively
optimize patrol routes for hybrid task scheduling. In most cases, the routine patrol routing …
optimize patrol routes for hybrid task scheduling. In most cases, the routine patrol routing …
Adaptive scheduling for Internet of Vehicles using deconfounded graph transfer learning
X Liu, S Wang, Y Chen - Computer Networks, 2025 - Elsevier
With the rapid development of Internet of Things technology, the Internet of Vehicles has
emerged as a significant application. The Internet of Vehicles connects vehicles with traffic …
emerged as a significant application. The Internet of Vehicles connects vehicles with traffic …
Optimal pricing under vertical and horizontal interaction structures for IoT networks
An Internet of Things (IoT) system can include several different types of service providers,
who sell IoT service, network service, and computation service to customers, either jointly or …
who sell IoT service, network service, and computation service to customers, either jointly or …
Optimal pricing design for coordinated and uncoordinated iot networks
An Internet of Things (IoT) system can include several different types of service providers,
who sell IoT service, network service, and computation service to customers, either jointly or …
who sell IoT service, network service, and computation service to customers, either jointly or …