Real Time Routing Professors in Global

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Insup Lee
University of Pennsylvania United States of America
real-time systems
real-time embedded systems
runtime verification
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Wilco Burghout
KTH Royal Institute of Technology Sweden
traffic modeling
traffic data mining
simulation of traffic systems
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Ioannis Kaparias
University of Southampton United Kingdom
real-time routing
travel time estimation
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Gabriel Wainer
Carleton University Canada
real-time modeling
real-time operating systems
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Igor Averbakh
University of Toronto Canada
routing scheduling
network optimization
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Igor Averbakh
University of Toronto Canada
routing scheduling
network optimization
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Yehua Wei
Duke University Singapore
vehicle routing
queueing networks
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Chris Potts
University of Southampton United Kingdom
vehicle routing
train scheduling
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Cebrina Lindstrøm
Technical University of Denmark Denmark
vehicle routing
ridesharing
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Xiubin Wang
Texas A&M University United States of America
vehicle routing
network optimization
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Allan Larsen
Technical University of Denmark Denmark
dynamic vehicle routing
traffic planning
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Lawrence Duncan
Technical University of Denmark Denmark
route choice modeling
dynamic traffic modeling
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Shahrzad Pour
Technical University of Denmark Denmark
real-time process management
road condition modeling
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Matthew Bartos
University of Texas at Austin United States of America
real-time flood monitoring
real-time sensing control of civil infrastructure
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Klaus Bogenberger
Technical University of Munich Germany
traffic simulations
urban road networks
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Matthew Bartos
University of Texas at Austin United States of America
real-time flood monitoring stormwater control
real-time sensing control civil infrastructure
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Jiming Chen
University of Victoria Canada
network resource allocation
network optimization
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Computer Vision
RWTH Aachen University Germany
tracking
self-localization
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Leif Eriksson
Chalmers University of Technology Sweden
radar remote sensing
remote sensing
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Sebastiano Papini
ETH Zurich Switzerland
transport networks
remote sensing
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Michael Florian
University of Montreal Canada
transportation networks
network optimization
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