A validated multi-agent simulation test bed to evaluate congestion pricing policies on population segments by time-of-day in New York City.
Brian Yueshuai HeJinkai ZhouZiyi MaDing WangDi ShaMina LeeJoseph Y. J. ChowKaan OzbayPublished in: CoRR (2020)
Keyphrases
- test bed
- multi agent simulation
- computer vision systems
- revenue management
- multi agent
- optimal pricing
- test beds
- optimal policy
- population size
- dynamic pricing
- trading strategies
- ip networks
- space station
- reinforcement learning
- transmission rate
- pricing model
- financial markets
- packet loss
- line segments
- inventory replenishment
- profit maximization