Stochastic Cell Transmission Models of Traffic Networks
arXiv:2304.11654v12 citationsh-index: 18
Originality Synthesis-oriented
AI Analysis
This work addresses traffic system design for urban planners, but it appears incremental as it builds on existing cell transmission models with stochastic elements.
The authors tackled the problem of modeling traffic networks by introducing a stochastic cell transmission framework, and they demonstrated its application in two case studies.
We introduce a rigorous framework for stochastic cell transmission models for general traffic networks. The performance of traffic systems is evaluated based on preference functionals and acceptable designs. The numerical implementation combines simulation, Gaussian process regression, and a stochastic exploration procedure. The approach is illustrated in two case studies.