Transportation Systems Sector
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Abstract:
Electrification of the transportation market offers revenue growth for utility companies and automobile manufacturers, lower operational costs for consumers, and benefits to the environment. However, even moderate penetration of PEVs will stress the power grid. This project formulates and solves optimization problems critical to various entities in the PEV ecosystem -- PEV owners, commercial charging station owners, aggregators, and distribution companies -- at the distribution / retail level.
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This study attempts to address a range of problems associated with autonomous navigation in real-life urban traffic, most recently including controller design and safety, secure communication, mapping, pedestrian behavior, testing and intersection access.
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The objective of this inter-disciplinary research is to develop new wireless technologies that transform the streets of a city into a hybrid transportation/communication system, called the Intelligent Road (iRoad), where autonomous wireless devices are co-located with traffic signals, forming a wireless network that fuses transportation data from all over the city to support a wide range of new applications.
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Advanced autonomous transportation technologies must become robust, affordable and maintainable before safe and wide public adoption. The following research challenges of cyber-physical systems must be overcome before autonomous vehicles become practical:
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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.
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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.).
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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.
