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 …
A Survey of Machine Learning for Urban Decision Making: Applications in Planning, Transportation, and Healthcare
Developing smart cities is vital for ensuring sustainable development and improving human
well-being. One critical aspect of building smart cities is designing intelligent methods to …
well-being. One critical aspect of building smart cities is designing intelligent methods to …
Deep reinforcement learning for demand driven services in logistics and transportation systems: A survey
Recent technology development brings the booming of numerous new Demand-Driven
Services (DDS) into urban lives, including ridesharing, on-demand delivery, express …
Services (DDS) into urban lives, including ridesharing, on-demand delivery, express …
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 …
PPTA: A location privacy-preserving and flexible task assignment service for spatial crowdsourcing
With the rapid growth of sensor-rich mobile devices, spatial crowdsourcing (SC) has
emerged as a new crowdsourcing paradigm harnessing the crowd to perform location …
emerged as a new crowdsourcing paradigm harnessing the crowd to perform location …
PPO-TA: Adaptive task allocation via Proximal Policy Optimization for spatio-temporal crowdsourcing
B Zhao, H Dong, Y Wang, T Pan - Knowledge-Based Systems, 2023 - Elsevier
With the pervasiveness of dynamic task allocation in sharing economy applications, the
online bipartite graph matching has attracted people's increasing attention to its research in …
online bipartite graph matching has attracted people's increasing attention to its research in …
A task allocation algorithm based on reinforcement learning in spatio-temporal crowdsourcing
B Zhao, H Dong, Y Wang, T Pan - Applied Intelligence, 2023 - Springer
With the pervasiveness of dynamic task allocation in sharing economy applications, online
bipartite graph matching has attracted more and more research attention. In sharing …
bipartite graph matching has attracted more and more research attention. In sharing …
Towards fair workload assessment via homogeneous order grouping in last-mile delivery
The popularity of e-commerce has promoted the rapid development of the logistics industry
in recent years. As an important step in logistics, last-mile delivery from delivery stations to …
in recent years. As an important step in logistics, last-mile delivery from delivery stations to …
[PDF][PDF] 数据驱动与知识引导结合下人工智能算法模型
金哲， 张引， 吴飞， 朱文武， 潘云鹤 - 电子与信息学报, 2023 - jeit.ac.cn
当前人工智能的学习模式主要以数据驱动为主要手段, 以深度神经网络为主流的机器学习算法
取得了显著进展. 但是这种数据驱动的人工智能手段依然面临数据获取成本高, 可解释性弱 …
取得了显著进展. 但是这种数据驱动的人工智能手段依然面临数据获取成本高, 可解释性弱 …