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Mobin Yazdani
Mobin Yazdani
Department of Transport and Planning, Victoria
Dirección de correo verificada de transport.vic.gov.au
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Año
Intelligent vehicle pedestrian light (IVPL): A deep reinforcement learning approach for traffic signal control
M Yazdani, M Sarvi, SA Bagloee, N Nassir, J Price, H Parineh
Transportation Research Part C: Emerging Technologies 149, 103991, 2023
422023
A Comparison Study of Different Data Resolutions for Deep Reinforcement Learning Based Adaptive Traffic Signal Control System
M Yazdani, M Sarvi, SA Bagloee
42nd Australasian Transport Research Forum (ATRF), Brisbane, Australia 2021, 2021
12021
Warm-starting the rolling horizon-based traffic volume prediction using neural networks
ZMM Aye, SA Bagloee, M Sarvi, M Yazdani
44th Australasian Transport Research Forum (ATRF), Perth, Australia 2023, 2023
2023
Value of Cross Box Data at the Intersection on Deep Reinforcement Learning based Traffic Signal
M Yazdani, M Sarvi, SA Bagloee, N Nassir
28th ITS World Congress, Los Angeles, California, USA, 2022, 2022
2022
Data-driven evaluation model of safety risks at signalised intersection
LS Chan, N Nassir, S Bagloee, M Sarvi, M Yazdani
43nd Australasian Transport Research Forum (ATRF), Adelaide, Australia 2022, 2022
2022
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