Adaptive Traffic Signal Control

As part of the Traffic21 initiative at CMU, we are investigating the design and application of adaptive traffic signal control strategies for urban road networks.

Global Mission Scheduling

As part of the Global Mission Scheduling (GMS) research and development project, funded by Air Mobility Command (AMC) through the sponsorship of the Air Force Research Laboratory (AFRL), we are developing scheduling algorithms to support human planners in their effort to efficiently allocate resources to airlift requirements.

Market-Based Task Allocation on RF Devices

As part of the DARPA RadioMap program, we are developing a market-based, distributed approach to allocating application tasks to Radio Frequency (RF) devices in dynamic and uncertain environments

Real-Time Scheduling of ACCESS Paratransit Transportation

The goal of this project is to increase the effectiveness of paratransit service providers in managing daily operations through the development and deployment of dynamic, real-time scheduling technology.

Cross-Domain Mission Planning

As part of the Synchronized Constraint-based Optimization, Repair, and Assembly (SCORA) project and in concert with BAE Systems and Securboration, Inc., we are developing algorithms to compute the best plan options that satisfy the desired effects in a distributed, collaborative enterprise.

Older Projects

A link to our previous work


Problems of large-scale coordination and logistics are ubiquitous, and better solutions are becoming increasingly critical in many domains. In manufacturing, trends toward industrial globalization and constrained market focus on high value-adding products, together with new coordination concepts such as electronic marketplaces, require organizations to become more agile. Military command and control infra-structure is faced with shrinking budgets and personnel, even though current geopolitical realities demand improved capability for rapid crisis-action mission planning and deployment. The rising cost of health care places a premium on more efficient methods for administration and delivery.

Intelligent systems technologies provide new opportunities for addressing such problems of large-scale planning, scheduling and control. The Intelligent Coordination and Logistics Laboratory (ICLL) is developing new theories, techniques and software technologies that capitalize on these opportunities and enable flexible, robust, efficient, and high quality management and control of complex organizations. Our research is tackling fundamental technological challenges relating to problem complexity and solution/system scalability, decision-making under diverse and complex constraints, time-stressed decision-making in dynamic domains, human-computer collaboration, multi-agent and distributed decision-making, and solution/system reconfigurability, reuse and self-improvement. Methodologically, our research is driven by the requirements and complexities of actual applications; we are developing, validating and transitioning intelligent planning and scheduling tools in a variety of application contexts spanning manufacturing management, transportation logistics, and space mission planning.


Stephen F Smith
Research Professor
Director, Intelligent Coordination and Logistics Laboratory
Phone: (412) 268-8811
Fax: (412) 268-5569
Office: 1502E Newell & Simon Hall
Zack Rubinstein
Senior Systems Scientist
Laura Barbulescu
Senior Project Scientist
Gregory Barlow
Project Scientist
Isaac Isukapati
Postdoctoral Fellow
Joris Kinable
Postdoctoral Fellow
Achal Arvind
MS Student, RI
Allen Hawkes
MS student, RI
Jayanth Krishna Mogali
MS Student, RI
Pranav Shah
Research Associate

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