403. Adaptable robust traffic control for urban networks with uncertain capacity
Invited abstract in session TA-59: Road network optimization, monitoring and control, stream Transportation.
Tuesday, 8:30-10:00Room: Liberty 1.14
Authors (first author is the speaker)
| 1. | Suh-Wen Chiou
|
| Information Management, National Dong Hwa University |
Abstract
In order to effectively mitigate congestion and propagate uncertainty in urban traffic networks, a robust signal control with adaption to traffic dynamics can be presented. A stochastic traffic model is introduced to appropriately address spatial evolution of traffic congestion inside road links. An Identification of Robust Family (IRF) for Stochastic Performance Index (SPI) is proposed. A stochastic program can be proposed and efficiently solved by a variant of Benders’ decomposition. While time-varying SPI value functions can be improved progressively by proposed adaption algorithm, the feasibility of constraints against high-consequence realization of capacity uncertainty is recursively enforced for unknown probability distribution of occurrence. Numerical experiments are performed at a real-data city network. As compared to recently proposed the state-of-the-art traffic signal control, obtained results showed that the proposed robust signal control can exhibit sufficient gain of achieving network effectiveness while attenuating time-varying congestion in the presence of uncertain capacity at links downstream.
Keywords
- Network Design
- Optimization Modeling
- Transportation
Status: accepted
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