This thesis addresses the multifaceted challenge of designing connected, autonomous urban emergency response systems that are both highly efficient and ethically accountable while maintaining public trust. It integrates three core areas of investigation. 

First, in connected vehicle technologies, the work advances emergency coordination frameworks by leveraging Vehicular Ad-hoc Networks (VANETs, IEEE 802.11p), cellular LTE, and prospective 6G capabilities for real-time V2I communication and traffic-signal preemption. Simulation-based evaluations using realistic VEINS/SUMO traffic models demonstrate substantial reductions in emergency vehicle travel times and collision risk under varied urban scenarios. 

Second, on ethical reasoning, it develops formal decision-making architectures with multi-layered ethical arbitration and novel ethical role models for autonomous infrastructure and agents. These conceptual frameworks embed normative rules, such as prioritized emergency triage and principles for robot self-defense, to ensure that autonomous systems act fairly, transparently, and in accordance with human values in critical situations. 

Third, on human factors, the thesis examines trust calibration in autonomous emergency interventions, studying how transparent intent communication and human-in-the-loop control architectures affect user trust and acceptance. Empirical user studies indicate that conveying system intent and providing shared control modes improve perceived trustworthiness and acceptance of the autonomous system. 

Together, these practical designs, theoretical models, and user studies offer a unified approach to balancing efficiency, ethics, and trust in emergency systems.