Azita Dabiri
Azita Dabiri
Assistant Professor, Delft Center for Systems and Control, Delft University of Technology
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Cited by
Cited by
Distributed ramp metering—a constrained discharge flow maximization approach
A Dabiri, B Kulcsár
IEEE Transactions on Intelligent Transportation Systems 18 (9), 2525-2538, 2017
Distributed LPV state-feedback control under control input saturation
A Dabiri, B Kulcsár, H Köroğlu
IEEE Transactions on Automatic Control 62 (5), 2450-2456, 2016
Single-region robust perimeter traffic flow control
B Kulcsár, K Ampountolas, A Dabiri
2015 European Control Conference (ECC), 2628-2633, 2015
Freeway traffic incident reconstruction–A bi-parameter approach
A Dabiri, B Kulcsár
Transportation Research Part C: Emerging Technologies 58, 585-597, 2015
Energy-based shape regulation of soft robots with unactuated dynamics dominated by elasticity
P Borja, A Dabiri, C Della Santina
2022 IEEE 5th international conference on soft robotics (RoboSoft), 396-402, 2022
Incident indicators for freeway traffic flow models
A Dabiri, B Kulcsár
Communications in Transportation Research 2, 100060, 2022
Personalised optimal speed advice to cyclists approaching an intersection with uncertain green time
A Dabiri, A Hegyi
2018 European Control Conference (ECC), 1666-1671, 2018
Distributed LPV state-feedback control with application to motorway ramp metering
A Dabiri, B Kulcsár, H Köroğlu
2015 European control conference (ECC), 1480-1485, 2015
Incident parameter scheduled freeway traffic control-a ramp meter approach
A Dabiri, B Kulcsar
IFAC Proceedings Volumes 47 (3), 11338-11343, 2014
Deep learning for object detection and segmentation in videos: Toward an integration with domain knowledge
A Ilioudi, A Dabiri, BJ Wolf, B De Schutter
IEEE Access 10, 34562-34576, 2022
Clustering-based methodology for estimating bicycle accumulation levels on signalized links: a case study from the Netherlands
G Reggiani, A Dabiri, W Daamen, S Hoogendoorn
2019 IEEE Intelligent Transportation Systems Conference (ITSC), 1788-1793, 2019
Modeling and Efficient Passenger-Oriented Control for Urban Rail Transit Networks
X Liu, A Dabiri, Y Wang, B De Schutter
IEEE Transactions on Intelligent Transportation Systems 24 (3), 3325-3338, 2022
Optimized speed trajectories for cyclists, based on personal preferences and traffic light information-a stochastic dynamic programming approach
A Dabiri, A Hegyi, S Hoogendoorn
IEEE Transactions on Intelligent Transportation Systems 23 (2), 777-793, 2020
Optimal speed advice for cyclists using a roadside sign at signalized intersections with uncertainty in traffic light timing
A Dabiri, A Hegyi, B Gońi-Ros
Transportation research record 2673 (7), 239-247, 2019
Timetable scheduling for passenger-centric urban rail networks: Model predictive control based on a novel absorption model
X Liu, A Dabiri, B De Schutter
2022 IEEE Conference on Control Technology and Applications (CCTA), 1147-1152, 2022
Automatic learning of cyclist’s compliance for speed advice at intersections-a reinforcement learning-based approach
A Dabiri, A Hegyi, S Hoogendoorn
2019 IEEE Intelligent Transportation Systems Conference (ITSC), 2375-2380, 2019
On the role of coupled damping and gyroscopic forces in the stability and performance of mechanical systems
P Borja, C Della Santina, A Dabiri
IEEE Control Systems Letters 6, 3433-3438, 2022
Incident parameter estimation
A Dabiri, B Kulcsár
2013 European Control Conference (ECC), 3518-3523, 2013
Bi-level model predictive control for metro networks: Integration of timetables, passenger flows, and train speed profiles
X Liu, A Dabiri, J Xun, B De Schutter
Transportation Research Part E: Logistics and Transportation Review 180, 103339, 2023
Distributed dynamic output feedback control for discrete-time linear parameter varying systems
A Dabiri, B Kulcsár
2016 IEEE 55th Conference on Decision and Control (CDC), 6080-6085, 2016
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