TFT Webinars: Vikash Gayah -- July 9th @ 2:30 PM EST

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Rafegh Aghamohammadi

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Jun 26, 2020, 7:20:35 PM6/26/20
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Dear colleagues, 


Please mark your calendars for our next webinar:


Application of deep reinforcement learning for perimeter metering control in urban networks with MFDs


Speaker: Dr. Vikash Gayah, Associate Professor, Penn State University


Date & Time: Thursday, July 9th, 2:30 PM EST


Link: https://gatech.bluejeans.com/2831735251     NOTE: You don't need to install the bluejeans app, just click join with browser. 


Abstract:

Various perimeter control strategies have been proposed for urban traffic networks that rely on the existence of well-defined relationships between network productivity and accumulation, known more commonly as network Macroscopic Fundamental Diagrams (MFD). Most existing perimeter control strategies require accurate modeling of traffic dynamics with full knowledge of the network’s MFD. However, such information is generally difficult to obtain and subject to error. This talk describes recent efforts to alleviate this using deep reinforcement learning for networks made up of two unique regions. The proposed methods are completely model free in that they do not require knowledge of the network’s MFD. The algorithm learns the consequences of different control actions over time and uses this information to obtain optimal control policies under different situations. Results from numerical experiments show that the proposed method: (a) can stably learn perimeter control strategies under various types of environment configurations; (b) can consistently outperform the state-of-the-art, model predictive control (MPC); (c) demonstrates sufficient transferability to a wide range of traffic conditions and dynamics in the environment; and, (d) exhibits great potential for practical implementation.


Short Bio:

Dr. Vikash V. Gayah is an associate professor in the Department of Civil and Environmental Engineering at The Pennsylvania State University (joined 2012). He received his B.S. and M.S. degrees from the University of Central Florida (2005 and 2006, respectively) and his Ph.D. degree from the University of California, Berkeley (2012). Dr. Gayah currently serves as an editorial advisory board member of Transportation Research Part C: Emerging Technologies, an editorial board editor of Transportation Research Part B: Methodological, an associate editor for the IEEE Intelligent Transportation Systems Magazine (an international peer-reviewed journal), a handling editor for the Transportation Research Record and is a member of the Transportation Research Board’s Committee on Traffic Flow Theory and Characteristics (AHB 45), where he serves as a paper review coordinator and the committee research coordinator. He has been recognized with multiple awards for his research and teaching activities, including the Dwight D. Eisenhower Transportation Fellowship, Gordon F. Newell Award for Excellence in Transportation Science, University of California Transportation Center Student of the Year Award, New Faculty Award by the Council of University Transportation Centers, the Cunard, Fred Burggraf and D. Grant Mickle outstanding paper awards by the Transportation Research Board, Harry West Teaching Award by the Department of Civil and Environmental Engineering at Penn State, Outstanding Teaching Award by the Penn State Engineering Alumni Society, and Faculty Early Career Development (CAREER) Award by the National Science Foundation.

Rafegh Aghamohammadi

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Jul 8, 2020, 11:16:53 AM7/8/20
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Friendly reminder for the webinar tomorrow 2:30 PM EST. Thank you for spreading the word.

Rafegh Aghamohammadi

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Jul 9, 2020, 1:39:08 PM7/9/20
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Dear colleagues,

We are looking forward to see you in our webinar by Dr. Vikash Gayah in less than an hour at 2:30 PM EST.

Regards

Traffic Flow Committee Tft

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Jul 15, 2020, 7:55:39 PM7/15/20
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Traffic Flow Committee Tft

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Jul 15, 2020, 7:56:05 PM7/15/20
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video recording: https://www.youtube.com/watch?v=QpEiCFHH--k

On Friday, June 26, 2020 at 7:20:35 PM UTC-4, Rafegh Aghamohammadi wrote:
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