Abstract: The objective of the project is to demonstrate the synergistic use of a cyber-physical infrastructure consisting of smart-phone devices; cloud computing, wireless communication, and intelligent transportation systems to manage vehicles in the complex urban network – through the use of traffic controls, route advisories and road pricing – to jointly optimize drivers’ mobility and the sustainability goals of reducing energy usage and improving air quality.

Abstract: The computing landscape is a richly-heterogeneous space including both fixed  and mobile  nodes  with  a  large variety  of  sensing,   actuation   and   computational capabilities (including   mobile devices,   home   electronics,   taxis,   robotic    drones, etc.).

Abstract: We are designing lane merging systems that assist drivers to maneuver safely. The driver signals his intent to change lanes. The cars communicate and create a safe gap. The driver is notified when it is safe to merge, or when a condition occurs that makes a lane change dangerous.

Abstract: Wireless sensor-actuator networks (WSAN) are systems consisting of numerous sensing and actuation devices that interact with the environment and coordinate their activities over a wireless communication network. WSANs represent an important class of cyber-physical system (CPS) found in the national power grid and air/traffic networks. This project addresses the issue of resilience in WSANs.

Abstract: Transforming the traditional, single-vehicle-based safety and efficiency control, next-generation vehicles are expected to form platoons for optimizing roadway usage and fuel efficiency while ensuring transportation safety. Two basic enablers of vehicle platooning are vehicular wireless networking and platoon control.

Abstract: The goal of this project is to develop fundamental theory, computationally efficient algorithms, and real- world experiments for the analysis and design of safety-critical cyber-physical transportation systems with human operators. We envision a nearby future in which roads will be populated by networks of smart vehicles that will cooperate with each other, with the surrounding infrastructure, and with their drivers to make transportation safer, more enjoyable, and more efficient.

Abstract: This project has two closely related objectives. The first is to design and evaluate new Cyber Transportation System (CTS) architectures, protocols and applications for improved traffic safety and traffic operations. The second is to design and develop an integrated traffic-driving-networking simulator. The project takes a multi-disciplinary approach that combines cyber technologies, transportation engineering and human factors.

Abstract: The relentless competition among automotive companies and increasing demands from customers for driver assistance functions and dynamically-controlled safety systems in vehicles are creating mounting time-to-market pressures and, consequently, shortened development times. With the increased vehicle complexity and shortened development times, guaranteeing hardware-software integrity and, hence, vehicle performance has become a salient issue.

Abstract: This research proposal focuses on event-­‐based information acquisition, state estimation and control in the context of high dimensional cyber physical systems. In particular, as part of the cyber system a (set of) decision maker(s) or agents is responsible for the acquisition of information, learning, and control about the underlying physical system of interest. The information acquisition process may be instigated or adapted based on events in the systems.

Abstract: Cyber-Physical Systems (CPS) are being increasingly deployed in critical infrastructures such as electric- power, water, transportation, and other networks. These deployments are facilitating real-time monitoring and control by exploiting the advances in wireless sensor-actuator networks, the internet of “everything”, data-driven analytics, and machine-to-machine interfaces. CPS operations depend on the synergy of com- putational and physical components. In addition, in many cases, CPS also interact with human decision makers.