Challenges and opportunities in algorithmic solutions for re-balancing in bike sharing systems
J Wu - Tsinghua Science and Technology, 2020 - ieeexplore.ieee.org
In recent years, the booming of the Bike Sharing System (BSS) has played an important role
in offering a convenient means of public transport. The BSS is also viewed as a solution to …
in offering a convenient means of public transport. The BSS is also viewed as a solution to …
Optimizing rebalance scheme for dock-less bike sharing systems with adaptive user incentive
Recently, the development of Bike Sharing Systems (BSSs) brings environmental and
economic benefits to the public. However, BSSs frequently suffer from the imbalanced bike …
economic benefits to the public. However, BSSs frequently suffer from the imbalanced bike …
Spatial-temporal inventory rebalancing for bike sharing systems with worker recruitment
Bike-sharing systems usually suffer from out-of-service events due to bike underflow or
overflow. We propose to recruit workers to rebalance station loads. We partition the complex …
overflow. We propose to recruit workers to rebalance station loads. We partition the complex …
Large-scale trip planning for bike-sharing systems
Abstract Bike-Sharing System (BSS) is a convenient service deployed in many big cities to
alleviate the last-mile problem. However, the explosion of users in BSS causes the …
alleviate the last-mile problem. However, the explosion of users in BSS causes the …
Integrating price-incentive and trip-selection policies to rebalance shared electric vehicles
Because electric vehicle sharing (EVS) offers the advantages of high flexibility and
convenience, it has been receiving increasing attention worldwide as an effective approach …
convenience, it has been receiving increasing attention worldwide as an effective approach …
Online user and power allocation in dynamic NOMA-Based mobile edge computing
This study tackles the online user allocation problem in mobile edge computing (MEC)
systems powered by non-orthogonal multiple access. App vendors need to determine a …
systems powered by non-orthogonal multiple access. App vendors need to determine a …
When congestion games meet mobile crowdsourcing: Selective information disclosure
In congestion games, users make myopic routing decisions to jam each other, and the social
planner with the full information designs mechanisms on information or payment side to …
planner with the full information designs mechanisms on information or payment side to …
Incentivizing the workers for truth discovery in crowdsourcing with copiers
Crowdsourcing has become an efficient paradigm for performing large scale tasks. Truth
discovery and incentive mechanism are fundamentally important for the crowdsourcing …
discovery and incentive mechanism are fundamentally important for the crowdsourcing …
To Analyze and Regulate Human-in-the-Loop Learning for Congestion Games
In congestion games, selfish users behave myopically to crowd to the shortest paths, and the
social planner designs mechanisms to regulate such selfish routing through information or …
social planner designs mechanisms to regulate such selfish routing through information or …
Redundancy-reducing and holiday speed prediction based on highway traffic speed data
Z Gao, X Yang, J Zhang, H Lu, R Xu, W Diao - IEEE Access, 2019 - ieeexplore.ieee.org
The accurate prediction of the highway traffic speed plays an important role in improving the
production efficiency and the convenience of lives, and it is also one of the important issues …
production efficiency and the convenience of lives, and it is also one of the important issues …