arXiv:2611.06155v1 Announce Type: new Abstract: Max-pressure (MP) traffic signal control provides a decentralized mechanism for urban networks, but conventional pressure states do not directly capture the propulsion burden generated by signal-induced stop-and-go traffic. Eco-driving, by contrast, typically relies on prespecified signal information and optimizes vehicle trajectories separately from the feedback among vehicle motion, traffic states, and signal decisions. This paper develops Ecological Max-Pressure (Eco-MP), a closed-loop framework that integrates ecological MP signal control with MP-adaptive ecological driving. At the signal layer, connected-vehicle observations are aggregated into a common movement state based on cumulative positive propulsion work, and the resulting upstream--downstream ecological pressure determines phase selection in mixed petrol and electric traffic. At the vehicle layer, a rolling signal interface translates the evolving Eco-MP process into near-term signal information, while each connected and automated vehicle solves a powertrain-independent finite-horizon trajectory problem subject to vehicle-dynamic, car-following, and signal-compliance constraints to reduce unnecessary stopping and acceleration effort. Under full-state information, a finite-storage Lyapunov analysis establishes strong stability for admissible demands satisfying a strict supportability condition and extends the result to the coupled signal--vehicle system. When ecological driving enlarges the admissible-flow sets, the coupled admissible demand region contains the signal-only region. Microscopic experiments on an Amsterdam arterial corridor show that, relative to queue-based MP, Eco-MP reduces mean positive propulsion work by 5.2%, vehicle delay by 20.8%, and stopping time by 39.0%. With only 15% of vehicles directly controlled, ecological driving further reduces positive propulsion work by 4.2% and stopping time by 19.6%......