Optimizing Large-Scale Fleet Management on a Road Network using Multi-Agent Deep Reinforcement Learning with Graph Neural Network.
Juhyeon KimKihyun KimPublished in: ITSC (2021)
Keyphrases
- road network
- reinforcement learning
- multi agent
- fleet management
- neural network
- shortest path
- travel time
- location based services
- function approximation
- moving objects
- transportation networks
- route planning
- road segments
- function approximators
- weighted graph
- traffic data
- state space
- multi agent systems
- spatial networks
- genetic algorithm
- map matching
- graph structure
- bipartite graph
- machine learning
- trajectory data
- reinforcement learning agents
- directed graph
- traffic congestion
- delay tolerant
- multiple agents
- line segments
- optimal policy
- random walk
- learning algorithm
- multi agent environments