An application of Deep learning in smart city traffic management

The report is on an effort to build smart traffic network management based on video surveillance and traffic light centralized in Vietnamese cities. A presentation of smart transportation management infrastructure with integration of network IP cameras, video analytic application running on high performance computing systems, automatic traffic data recognition, automatic calculation of traffic light control strategy for maximal flows in main city corridors. For extracting traffic flow data to input in optimization modelling system, an attempt to deploy deep learning/ tensorflow on specific hardware and software infrastructure: results and challenges.

Assoc. Prof. Pham Hong Quang – Vietnam Academy of Science and Technology (Vietnam)

Pham Hong Quang graduated from the Faculty of Applied Mathematics in Russian (1983), got Ph.D degree (1987) in Game Theory. From 2010 he is Director of Center for Informatics and Computing – Vietnam Academy of Science and Technology. His research interests are optimization control, high performance computing, signal processing and embedded computing… He has deep experiences in designing and realization of ICT infrastructure for Intelligent Transportation System, Smart Traffic Management for urban and highway network.