Yu H Traffic Congestion Control by PDE Backstepping 2022

Yu H Traffic Congestion Control by PDE Backstepping 2022 | 8.58 MB
N/A | 363 Pages

Title: Stochastic adaptive control model for traffic signal systems [An article from: Transportation Research Part C]
Author: X.H. Yu
Year: N/A

Description:
This digital document is a journal article from Transportation Research Part C, published by Elsevier in 2006. The article is delivered in HTML format and is available in your Amazon.com Media Library immediately after purchase. You can view it with any web browser.

Description:
An adaptive control model of a network of signalized intersections is proposed based on a discrete-time, stationary, Markov decision process. The model incorporates probabilistic forecasts of individual vehicle actuations at downstream inductance loop detectors that are derived from a macroscopic link transfer function. The model is tested both on a typical isolated traffic intersection and a simple network comprised of five four-legged signalized intersections, and compared to full-actuated control. Analyses of simulation results using this approach show significant improvement over traditional full-actuated control, especially for the case of high volume, but not saturated, traffic demand.

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