Reinforcement learning for logistics and supply chain management: Methodologies, state of the art, and future opportunities
With advances in technologies, data science techniques, and computing equipment, there
has been rapidly increasing interest in the applications of reinforcement learning (RL) to …
has been rapidly increasing interest in the applications of reinforcement learning (RL) to …
Public transport for smart cities: Recent innovations and future challenges
The idea of a smart city is one that utilises Internet-of-Things (IoT) technologies and data
analytics to optimise the efficiency of city operations and services, so as to provide a high …
analytics to optimise the efficiency of city operations and services, so as to provide a high …
A reinforcement learning approach to robust scheduling of semiconductor manufacturing facilities
As semiconductor manufacturers, recently, have focused on producing multichip products
(MCPs), scheduling semiconductor manufacturing operations become complicated due to …
(MCPs), scheduling semiconductor manufacturing operations become complicated due to …
Understanding the modifiable areal unit problem in dockless bike sharing usage and exploring the interactive effects of built environment factors
Understanding the influence mechanisms of dockless bike-sharing usage is essential for
land use planning and bike scheduling strategy implementation. Although various studies …
land use planning and bike scheduling strategy implementation. Although various studies …
Dynamic planning of bicycle stations in dockless public bicycle-sharing system using gated graph neural network
Benefiting from convenient cycling and flexible parking locations, the Dockless Public
Bicycle-sharing (DL-PBS) network becomes increasingly popular in many countries …
Bicycle-sharing (DL-PBS) network becomes increasingly popular in many countries …
Quantifying greenhouse gas emissions reduction from bike share systems: a model considering real-world trips and transportation mode choice patterns
The emerging bike share systems provide convenient mobility to short-distance travelers for
both leisure and commuting purposes. Many cities are rolling out bike share programs …
both leisure and commuting purposes. Many cities are rolling out bike share programs …
Electric fence planning for dockless bike-sharing services
A new generation of bike-sharing services is emerging in China. With this service, bikes can
be unlocked and paid by using a smartphone and then picked up and left anywhere at users' …
be unlocked and paid by using a smartphone and then picked up and left anywhere at users' …
A bibliometric analysis and review on reinforcement learning for transportation applications
Transportation is the backbone of the economy and urban development. Improving the
efficiency, sustainability, resilience, and intelligence of transportation systems is critical and …
efficiency, sustainability, resilience, and intelligence of transportation systems is critical and …
Relocating operational and damaged bikes in free-floating systems: A data-driven modeling framework for level of service enhancement
X Chang, J Wu, H Sun, GH de Almeida Correia… - … Research Part A: Policy …, 2021 - Elsevier
Free-floating bike sharing is an innovative and sustainable travel mode, where shared bikes
can be picked up and returned at any proper place on the streets and not just at docking …
can be picked up and returned at any proper place on the streets and not just at docking …
Static rebalancing optimization with considering the collection of malfunctioning bikes in free-floating bike sharing system
M Du, L Cheng, X Li, F Tang - … Part E: Logistics and Transportation Review, 2020 - Elsevier
This study considers multiple depots, heterogeneous trucks and multiple visiting in a static
bike rebalancing optimization problem with malfunctioning bikes in free-floating bike sharing …
bike rebalancing optimization problem with malfunctioning bikes in free-floating bike sharing …