This is a particularly opportune time to address this topic due to a confluence of relevant developments: major advances in computing, communications, and sensing technologies; the great progress that has been made in recent years in our ability to model, evaluate and optimize urban mobility systems; the growing importance of environmental sustainability issues; the aging of physical infrastructure in developed countries and the need for massive new infrastructure in less developed ones; and the vast economic stimulus that can be provided by the modernization and renewal of urban mobility systems worldwide.
The FM IRG will:
-harness and enhance promising networked computing and control (NCC) technology-enabled innovations that may contribute to improved future urban mobility; -develop decision models that can be applied to support various novel mobility concepts, such as the pervasive use of real-time information, mobility-on-demand services and green logistics; -investigate the potential and impacts of these innovations and decision models; -and assess their implications for urban development and urban planning organizations and institutions.
The concrete project is the following: Real-time Path Tracking/Predictions and On-Demand Route Guidance Under Uncertainty Develop algorithms that use real-time data to:
(i) track and predict paths in dynamic transportation networks (ii) provide on-demand route guidance under uncertainty.
Student must have graduated with an undergraduate degree at the level of a first class or second uppers (equivalent).
Scholarship Deadline: July 10, 2011
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