Computer Science and Statistics

College of Arts and Sciences

Previous Research Groups and Projects


Behavioral Model of Pedestrian Dynamics

The goal of this project is to develop models to support a prototype similation tool that will permit professionals to analyze the various geometric and human factor elements that influence the ways which pedestrians move in buildings during emergency and non-emergency situations. This is a multidisciplinary project that brings together safety professionals, and researchers (faculty and students). The research expertises are from civil egineering, computer science, industrial and manufacturing engineering, psychology, and social psychology.

Intelligent Transportation Systems

The intent of these multidisciplinary URITC and RIDOT funded projects is to provide new data analysis models and software prototypes for traffic management in Rhode Island. The team is collecting and analyzing traffic data and developing analytical and predictive models for traffic management. At the same the group is developing software designs and prototypes that integrate GIS, Web, and database technology to provide information to the various stake holders (the traveling public, the DOT, safety and crisis management professionals). These projects are also providing good practical and educational experiences to the graduate students who are involved in the work.

Real-Time Distributed Object Computing

The RTDOC group at the Univeristy of Rhode Island performs research and development of real-time distributed object computing technology. Real-time applications have timing constraints, such as deadlines and/or periods of execution. Examples of distributed real-time systems include military command and control applications, manufacturing control, sensor networks, and telecommunication. We express, enforce, and analyze real-time requirements, by using, adapting, and extending, classic real-time scheduling algorithms, mechanisms, and approaches in the distributed object paradigm.

Sensor Networks

You may have read or heard about wireless sensor networks or “smart dust” in the popular media. Recent advances in hardware have made it possible to design tiny computers with two key features: sensors that measure environmental properties, and radios that can communicate readings over a wireless network. These computers – often called “motes” – are roughly 1 by 2 inches in size and run on small batteries. Standard sensors include light, temperature, humidity, and barometric pressure sensors, as well as microphones, accelerometers, and magnetometers. Sensors for soil moisture, leaf wetness, wind speed & direction, and a rain gauge may also be available. For communications, each computer has a radio with a broadcast range of approximately 150 feet. The computers autonomously form a wireless network that can report readings to one or more base stations. Our research group has been funded by the National Science Foundation to study real-time data distribution in sensor networks. Our work-in-progress involves developing network algorithms for sensor networks. We are currently implementing medium access control and routing protocols for network-wide dissemination.

Think Big We Do

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