Optimizing Long-Term Efficiency and Fairness in Ride-Hailing under Budget Constraint via Joint Order Dispatching and Driver Repositioning
Ride-hailing platforms (eg, Uber and Didi Chuxing) have become increasingly popular in
recent years. Efficiency has always been an important metric for such platforms. However …
recent years. Efficiency has always been an important metric for such platforms. However …
Optimizing long-term efficiency and fairness in ride-hailing via joint order dispatching and driver repositioning
The ride-hailing service offered by mobility-on-demand platforms, such as Uber and Didi
Chuxing, has greatly facilitated people's traveling and commuting, and become increasingly …
Chuxing, has greatly facilitated people's traveling and commuting, and become increasingly …
Dynamic joint decision of matching parameters and relocation strategies in ride-sourcing systems interacting with traffic congestion
J Zhang, L Hu, Y Li, W Xu, Y Jiang - Transportation Research Part C …, 2024 - Elsevier
As the ride-sourcing market expands, ride-sourcing fleets have increased urban traffic
congestion, and in turn, road congestion is affecting ride-sourcing operations. It is crucial to …
congestion, and in turn, road congestion is affecting ride-sourcing operations. It is crucial to …
Hmdrl: Hierarchical mixed deep reinforcement learning to balance vehicle supply and demand
The imbalance of vehicle supply and demand is a common phenomenon that influences the
efficiency of online ride-hailing systems greatly. To address this problem, a three-level …
efficiency of online ride-hailing systems greatly. To address this problem, a three-level …
Supply-demand-aware deep reinforcement learning for dynamic fleet management
Online ride-hailing platforms have reduced significantly the amounts of the time that taxis are
idle and that passengers spend on waiting. As a key component of these platforms, the fleet …
idle and that passengers spend on waiting. As a key component of these platforms, the fleet …
Towards accessible shared autonomous electric mobility with dynamic deadlines
Shared autonomous electric mobility has attracted significant interest in recent years due to
its potential to save energy consumption, enhance mobility accessibility, reduce air pollution …
its potential to save energy consumption, enhance mobility accessibility, reduce air pollution …
Record: Joint real-time repositioning and charging for electric carsharing with dynamic deadlines
Electric carsharing, ie, electric vehicle sharing, as an emerging mobility-on-demand service,
has been proliferating worldwide recently. Though providing convenient, low-cost, and …
has been proliferating worldwide recently. Though providing convenient, low-cost, and …
Construct trip graphs by using taxi trajectory data
H Yu, X Guo, X Luo, W Bian, T Zhang - Data Science and Engineering, 2023 - Springer
The trip graph, which can model the residents' taxi demands, consists of vertices used to
indicate trips and edges used to indicate the follow-up relationships between trips. A trip vj is …
indicate trips and edges used to indicate the follow-up relationships between trips. A trip vj is …
A greedy approach for increased vehicle utilization in ridesharing platforms
AA Makhdomi, IA Gillani - Expert Systems with Applications, 2024 - Elsevier
Ridesharing platforms provide an eco-friendly transportation system by enabling multiple
passengers to share a single vehicle. However, the existing approaches, in this direction do …
passengers to share a single vehicle. However, the existing approaches, in this direction do …
Soup: spatial-temporal demand forecasting and competitive supply in transportation
We consider a setting with an evolving set of requests for transportation from an origin to a
destination before a deadline and a set of agents capable of servicing the requests. In this …
destination before a deadline and a set of agents capable of servicing the requests. In this …