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Optimizing Transportation Dynamics at a City-Scale Using a Reinforcement Learning Framework

Overview of attention for article published in IEEE Access, September 2020
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mendeley
47 Mendeley
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Article details
Title
Optimizing Transportation Dynamics at a City-Scale Using a Reinforcement Learning Framework
Published in
IEEE Access, September 2020
DOI 10.1109/access.2020.3024979
Authors

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 47 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 8 17%
Student > Bachelor 4 9%
Student > Master 4 9%
Student > Doctoral Student 3 6%
Lecturer 2 4%
Other 2 4%
Unknown 24 51%
Readers by discipline
Readers by discipline Count As %
Engineering 11 23%
Computer Science 5 11%
Business, Management and Accounting 3 6%
Environmental Science 1 2%
Mathematics 1 2%
Other 2 4%
Unknown 24 51%