A systematic literature review on pricing strategies in the sharing economy
M Yang, E Xia - Sustainability, 2021 - mdpi.com
As an emerging business model, the sharing economy has gained a large amount of
academic attention; the pricing problem in the sharing economy has also been widely …
academic attention; the pricing problem in the sharing economy has also been widely …
Deep learning for intelligent traffic sensing and prediction: recent advances and future challenges
With the emerging concepts of smart cities and intelligent transportation systems, accurate
traffic sensing and prediction have become critically important to support urban …
traffic sensing and prediction have become critically important to support urban …
Edge computing-empowered large-scale traffic data recovery leveraging low-rank theory
Intelligent Transportation Systems (ITSs) have been widely deployed to provide traffic
sensing data for a variety of smart traffic applications. However, the inevitable and …
sensing data for a variety of smart traffic applications. However, the inevitable and …
A polynomial-time algorithm for user-based relocation in free-floating car sharing systems
Free-floating car sharing (FFCS) systems are a promising concept to reduce the traffic
volume in cities. However, spatial and temporal mismatches of supply and demand require a …
volume in cities. However, spatial and temporal mismatches of supply and demand require a …
Dynamic flow distribution prediction for urban dockless e-scooter sharing reconfiguration
Thanks to recent progresses in mobile payment, IoT, electric motors, batteries and location-
based services, Dockless E-scooter Sharing (DES) has become a popular means of last …
based services, Dockless E-scooter Sharing (DES) has become a popular means of last …
User recruitment for enhancing data inference accuracy in sparse mobile crowdsensing
Sparse mobile crowdsensing is a practical paradigm for large sensing systems, which
recruits a small number of users to sense data from only a few subareas and, then, infers the …
recruits a small number of users to sense data from only a few subareas and, then, infers the …
Towards fine-grained flow forecasting: A graph attention approach for bike sharing systems
As a healthy, efficient and green alternative to motorized urban travel, bike sharing has been
increasingly popular, leading to wide deployment and use of bikes instead of cars. Accurate …
increasingly popular, leading to wide deployment and use of bikes instead of cars. Accurate …
Rebalancing and charging scheduling with price incentives for car sharing systems
G Guo, M Kang - IEEE Transactions on Intelligent …, 2022 - ieeexplore.ieee.org
This paper studies the joint problem of optimal pricing, charging scheduling and rebalancing
for one-way car sharing systems. Firstly, a price driven customers travel mechanism is given …
for one-way car sharing systems. Firstly, a price driven customers travel mechanism is given …
A cost-quality beneficial cell selection approach for sparse mobile crowdsensing with diverse sensing costs
The Internet of Things (IoT) and mobile techniques enable real-time sensing for urban
computing systems. By recruiting only a small number of users to sense data from selected …
computing systems. By recruiting only a small number of users to sense data from selected …
Three-way decision based participants selection optimization model in sparse mobile crowdsensing
J Wang, G Zhao, H Ge - Information Sciences, 2023 - Elsevier
Aiming at the problem of low data quality caused by the low quality of participants in sparse
mobile crowdsensing, a participant's selection optimization algorithm based on the three …
mobile crowdsensing, a participant's selection optimization algorithm based on the three …