Transcription of Stochastic Simulation - MIT
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Stochastic Simulation - MIT
Spring 2024. Stochastic Simulation Cathy Wu Transportation: Foundations and Methods Wu 2. Readings 1. Larson, Richard C. and Amedeo R. Odoni. Urban Operations Research. Prentice-Hall (1981). Chapter 7: Simulations. URL. 2. (Optional) X. Wang et al., Traffic light optimization with low penetration rate vehicle trajectory data, Nat Commun, vol. 15, no. 1, Art. no. 1, Feb. 2024, doi: 45427-4. Wu 3. Unit 2: Queuing systems Modeling mathematical programs Uncertainty Linear programs Poisson process Sequential decision Queueing models problems Unit 2 LAB 1: Build your Time-space Cumulative Simplex method diagrams diagrams own traffic jam LAB 2: Build a queuing Vehicle Facility dynamics model for Seattle transit Markov chains dynamics Modeling Discrete event Markov decision processes Traffic flow Simulation Value iteration Numerical theory integration Stochastic Q-learning Integer programs Deep learning Branch-and-bound Deep Q Networks LAB 3: Build an AI agent LAB 4: Solve the traveling to optimize traffic salesman problem Wu Traffic light optimization with low penetration rate 4.
Stochastic simulation models. Def. Simulation: Modeling approach, the aim of which is to approximate (i.e. simulate) the systems' behaviour with the help of models that: are computer …
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