Institutional Repository
Technical University of Crete
Technical University of Crete
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| URI: | http://purl.tuc.gr/dl/dias/9805A2D2-006A-485E-A7EC-12BEB2EA3F92 | ||
| Year | 2025 | ||
| Type of Item | Conference Full Paper | ||
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| Bibliographic Citation | X. Wang, Y. Tang, N. Espitia, and N. Bekiaris-Liberis, "Event-triggered control of freeway traffic flow with connected and automated vehicles," IFAC Workshop on Control of Systems Governed by Partial Differential Equations- CPDE 2025, Beijing, China, 2025. https://doi.org/10.1016/j.ifacol.2025.08.062 | ||
| Appears in Collections |
We propose an event-triggered control (ETC) strategy for the Aw-Rascle-Zhang (ARZ) traffic model under congested conditions. The considered ARZ-type model, governed by first-order hyperbolic partial differential equations (PDEs), captures traffic dynamics involving both Adaptive Cruise Control (ACC) and human-driven vehicles. Control actions adjust the time gap for ACC vehicles and are updated based on a suitable triggering rule. We conduct the stability analysis on a linearized and transformed system (a 2×2 linear hyperbolic system with in-domain control), and we asses input-to-state stability (ISS) with respect to actuation errors. A small-gain approach guides the design of appropriate triggering rule (small-gain event based triggering condition), ensuring exponential stability while preventing the Zeno phenomenon. Numerical simulations demonstrate the effectiveness of the proposed control strategy in stabilizing traffic flow.
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