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Zijian Zhao, Jing Gao
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On-demand high-capacity ride-sharing via dynamic trip-vehicle assignment
10.1073/pnas.1611675114 · 2017
Predictive routing for autonomous mobility-on-demand systems with ride-sharing
2017
Rl4co: an extensive reinforcement learning for combinatorial optimization benchmark
2025
Towards efficient constraint handling in neural solvers for routing problems
2026
Real-time dispatch management of shared autonomous vehicles with on-demand and pre-booked requests
10.1016/j.tra.2024.104021 · 2024
Centralized and decentralized autonomous dispatching strategy for dynamic autonomous taxi operation in hybrid request mode
10.1016/j.trc.2019.12.020 · 2020
Simulating ride-pooling services with pre-booking and on-demand customers
2023
Hierarchical value decomposition for effective on-demand ride-pooling
10.65109/kvwu6345 · 2022
Global rewards in multi-agent deep reinforcement learning for autonomous mobility on demand systems
2024
Evaluating prebooked on-demand mobility services using MATSim
10.1016/j.procs.2024.06.089 · 2024
PMAT: optimizing action generation order in multi-agent reinforcement learning
10.65109/jglp2455 · 2025
Coordinating ride-pooling with public transit using reward-guided conservative q-learning: an offline training and online fine-tuning reinforcement learning framework
10.1016/j.trc.2025.105051 · 2025
10.1109/tits.2025.3595653
10.1109/tits.2025.3595653
Dynamic autonomous vehicle fleet operations: optimization-based strategies to assign AVs to immediate traveler demand requests
10.1016/j.trc.2018.05.003 · 2018
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On ride-pooling and traffic congestion
10.1016/j.trb.2020.10.003 · 2020
Efficient ridesharing order dispatching with mean field multi-agent reinforcement learning
2019
Efficient algorithms for stochastic ride-pooling assignment with mixed fleets
10.1287/trsc.2021.0349 · 2023
Multiobjective stochastic optimization: a case of real-time matching in ride-sourcing markets
10.1287/msom.2020.0247 · 2024
Algorithms for the assignment and transportation problems
10.1137/0105003 · 1957
Ride-hailing order dispatching at didi via reinforcement learning
10.1287/inte.2020.1047 · 2020
Real-time dispatching of large-scale ride-sharing systems: integrating optimization, machine learning, and model predictive control
2021
Operating electric vehicle fleet for ride-hailing services with reinforcement learning
10.1109/tits.2019.2947408 · 2019
Real-time city-scale ridesharing via linear assignment problems
10.1016/j.trc.2019.01.019 · 2019
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AOAD-MAT: transformer-based multi-agent deep reinforcement learning model considering agents’ order of action decisions
2025
A four-layer learning-driven optimization framework for inclusive mobility in mixed-fleet ride-hailing
2025
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Optimization of ride-sharing with passenger transfer via deep reinforcement learning
10.1016/j.tre.2023.103080 · 2023
Multi-agent reinforcement learning is a sequence modeling problem
10.52202/068431-1201 · 2022
Large-scale order dispatch in on-demand ride-hailing platforms: a learning and planning approach
2018
Future aware pricing and matching for sustainable on-demand ride pooling
2023
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2025
CrossFI: a cross domain wi-fi sensing framework based on siamese network
10.1109/jiot.2025.3542850 · 2025
The impacts of data privacy regulations on food-delivery platforms
10.1016/j.trc.2025.105364 · 2025
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Discriminatory order assignment and payment-setting of on-demand food-delivery platforms: a multi-action and multi-agent reinforcement learning framework
10.1016/j.tre.2025.104653 · 2026
Discriminatory order assignment and payment-setting of on-demand food-delivery platforms: a multi-action and multi-agent reinforcement learning framework
10.1016/j.tre.2025.104653 · doi-reference
The impacts of data privacy regulations on food-delivery platforms
10.1016/j.trc.2025.105364 · doi-reference
CrossFI: a cross domain wi-fi sensing framework based on siamese network
10.1109/jiot.2025.3542850 · doi-reference
Multi-agent reinforcement learning is a sequence modeling problem
10.52202/068431-1201 · doi-reference
Optimization of ride-sharing with passenger transfer via deep reinforcement learning
10.1016/j.tre.2023.103080 · doi-reference
Real-time city-scale ridesharing via linear assignment problems
10.1016/j.trc.2019.01.019 · doi-reference
Operating electric vehicle fleet for ride-hailing services with reinforcement learning
10.1109/tits.2019.2947408 · doi-reference
Ride-hailing order dispatching at didi via reinforcement learning
10.1287/inte.2020.1047 · doi-reference
Algorithms for the assignment and transportation problems
10.1137/0105003 · doi-reference
Multiobjective stochastic optimization: a case of real-time matching in ride-sourcing markets
10.1287/msom.2020.0247 · doi-reference
Efficient algorithms for stochastic ride-pooling assignment with mixed fleets
10.1287/trsc.2021.0349 · doi-reference
On ride-pooling and traffic congestion
10.1016/j.trb.2020.10.003 · doi-reference
Dynamic autonomous vehicle fleet operations: optimization-based strategies to assign AVs to immediate traveler demand requests
10.1016/j.trc.2018.05.003 · doi-reference
10.1109/tits.2025.3595653
10.1109/tits.2025.3595653 · doi-reference
Coordinating ride-pooling with public transit using reward-guided conservative q-learning: an offline training and online fine-tuning reinforcement learning framework
10.1016/j.trc.2025.105051 · doi-reference
PMAT: optimizing action generation order in multi-agent reinforcement learning
10.65109/jglp2455 · doi-reference
Evaluating prebooked on-demand mobility services using MATSim
10.1016/j.procs.2024.06.089 · doi-reference
Hierarchical value decomposition for effective on-demand ride-pooling
10.65109/kvwu6345 · doi-reference
Centralized and decentralized autonomous dispatching strategy for dynamic autonomous taxi operation in hybrid request mode
10.1016/j.trc.2019.12.020 · doi-reference
Real-time dispatch management of shared autonomous vehicles with on-demand and pre-booked requests
10.1016/j.tra.2024.104021 · doi-reference
On-demand high-capacity ride-sharing via dynamic trip-vehicle assignment
10.1073/pnas.1611675114 · doi-reference