Balázs Adam Kulcsár
Balázs Kulcsár är i forskargruppen Reglerteknik. Hans forskning syftar främst på design för intelligenta transportsystem, modellering av trafikflöden för styrning, linjära parametervarierande system och feldiagnostik. Balázs är medlem i projektet Transport Area on Advance, med syftet att uppnå ledande kompetens i framtida miljövänliga, säkra och effektiva transportsystem.
Visar 97 publikationer
Personalized Dynamic Pricing Policy for Electric Vehicles: Reinforcement learning approach
Minimum-Delay Opportunity Charging Scheduling for Electric Buses
The Traffic Reaction Model: A kinetic compartmental approach to road traffic modeling
Integrated Charging Scheduling and Operational Control for an Electric Bus Network
Integrated Charging Scheduling and Operational Control for an Electric Bus Network
Collaborative electric vehicle routing with meet points
Incremental Exponential Stability of the Unidirectional Flow Model
Deep Q-learning: a robust control approach
Conflict-free Charging and Real-time Control for an Electric Bus Network
A Predictive Chance Constraint Rebalancing Approach to Mobility-on-Demand Services
Mean-square exponential stabilization of coupled hyperbolic systems with random parameters
Data-driven distance metrics for kriging - Short-term urban traffic state prediction
Back-Pressure Traffic Signal Control in the Presence of Noisy Queue Information
Distributed eco-driving control of a platoon of electric vehicles through Riccati recursion
Short-term traffic prediction using physics-aware neural networks
A Predictive Chance Constraint Rebalancing Approach to Mobility-on-Demand Services
Parameter and density estimation from real-world traffic data: A kinetic compartmental approach
Incident indicators for freeway traffic flow models
Can AI Abuse Personal Information in an EV Fast-Charging Market?
Dynamic Stochastic Electric Vehicle Routing with Safe Reinforcement Learning
Bilevel optimization for bunching mitigation and eco-driving of electric bus lines
A Game Approach for Charging Station Placement Based on User Preferences and Crowdedness
On the Interpretability of Regularisation for Neural Networks Through Model Gradient Similarity
Robust H-infinity Position Control for Vehicle Steering
Electric Vehicle Routing Problem with Machine Learning for Energy Prediction
A Platoon Regulation Algorithm to Improve the Traffic Performance of Highway Work Zones
Pro-social control of connected automated vehicles in mixed-autonomy multi-lane highway traffic
Induced L2-gain computation for rational LPV systems using Finsler's lemma and minimal generators
Public transport trajectory planning with probabilistic guarantees
Emergency vehicle lane pre-clearing: From microscopic cooperation to routing decision making
Set-based multi-objective control of metered ramps at ring road junctions
Hierarchical Control of Electric Bus Lines
Network-Level Optimal Control for Public Bus Operation
Altruistic Control of Connected Automated Vehicles in Mixed-Autonomy Multi-Lane Highway Traffic
Energy-aware predictive control for electrified bus networks
Energy consumption estimation integrated into the Electric Vehicle Routing Problem
Passivity analysis of rational LPV systems using Finsler's lemma
Freeway Traffic Jam Mitigation via Connected Automated Vehicles
Optimally combined headway and timetable reliable public transport system
Optimal headway merging for balanced public transport service in urban networks
Robust tracking controller design for active dolly steering
On the convergence of driver centric zone pricing for traffic networks
Electric vehicle routing problem – a nested two level approach
Variable speed limit design based on mode dependent Cell Transmission Model
Network traffic flow optimization under performance constraints
Optimal headway and schedule control of public transport buses
Distributed ramp metering - a constrained discharge flow maximisation approach
Distributed LPV state-feedback control under control input saturation
Traffic flow optimization with QoS constrained network admission control
Traffic incident aware coordination of ramp meters
Traffic aware electric vehicle routing
Distributed dynamic output feedback control for discrete-time linear parameter varying systems
Safety and efficiency analysis of HCT-Traffic flow indicators
Switching CTM for mode dependent travel delay minimisation
Set-theoretic analysis of the isolated ramp metering problem
Coordinted risk aware ramp metering
Back Pressure Traffic Signal Control with Fixed and Adaptive Routing for Urban Vehicular Network
Distributed LPV State-Feedback Control with Application to Motorway Ramp Metering
Single-Region Robust Perimeter Traffic Flow Control
Traffic-adaptive Signal Control and Vehicle Routing Using a Decentralized Back-pressure Method
Fault Estimation for Discrete Time LPV Systems under Noisy Scheduling Measurements
Freeway traffic incident reconstruction – A bi-parameter approach
Distributed control of traffic flow in motorways
Impulse response parameter based internal model control for discrete-time LPV systems
Robust real-time control for urban road traffic networks
Incident parameter scheduled freeway traffic control - A ramp meter approach
Incident description in METANET model
Mean-square optimal control of Linear Parameter Varying systems
Cooperative driving for best road network capacity
Constrained Freeway Traffic Control via Linear Parameter Varying Paradigms
Integrated robust control/fault diagnosis design for LPV systems under input constraints
Dynamic relaxation in hyperbolic conservation law for incident traffic flow modeling
Robust inversion based fault estimation for discrete-time LPV systems
Robust Inversion Based Fault Estimation for Discrete-Time LPV Systems (vol 57, pg 1581, 2012)
Linear Parameter Varying Identification of Freeway Traffic Models
On the similarity state transformation for Linear Parameter-Varying systems
Freeway ramp metering: an LPV set theoretical analysis
Uncertainty modeling and robust control in urban traffic
Robust servo control of a novel type 1 diabetic model
Robust cautious data driven control with guaranteed mean square stability
Unknown input reconstruction for LPV systems
Parameter-dependent modeling of freeway traffic flow
Induced L2 norm improvement by interpolating controllers for discrete time LPV systems
Yaw Control via Combined Braking and Steering
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Visar 30 forskningsprojekt
ERGODIC: Kombinerade person- och godstransporter i förortstrafik
E-Laas: Energioptimal urban logistik som tjänst
ARC: Aerodynamic Parameter estimation for Subscale Aircraft
FEAT: Fordonshantering för effektiva och hållbara elekriska mikromobilitetssystem
LEAR: Robust LEArning methods for electric vehicle Route selection
Learning in Stochastic Traffic Networks
RHEA: Demand-supply asymmetRy mitigation witH modular Electric bus plAtforms
Robustly and Optimally Controlled Training Of neural Networks II (OCTON II)
STOchastic Traffic NEtworks (STONE)
IRIS: Inverse förstärkning-lärande och intelligenta svarmalgoritmer för elastiska transportnät
Real-Time Robust and AdaptIve Learning in ElecTric VEhicles (RITE)
Använda dataanalys för smart hantering av hanteringszoner i städer
Plattform för analys och modellering av framtida trafiksystem
Robustly and Optimally Controlled Training Of neural Networks I (OCTON I)
TSIM: Simulering, analys och modellering av framtida effektiva trafiksystem
Public transit shared mobility - connected and safe solutions
Övergång till framtidens transportsystem: Planering av flera nivåer för autonoma fordon
Smart indoor logistics (SIL): technology, business, and acceptance
ServiCe OPtimization of charging station for Electrified vehicles
Optimal energihantering för nätverk av elektrifierade bussar (OPNET)
EL FORT - Optimering av elfordonsflotta i Real-Tid - (Fas 2)
Autonomous and Connected Trucks for Electric Distribution (ACTED)
Att skapa en kärn möjliggörare för att utvärdera scenarier av blandad fordonstrafik
Safety aware vehicular routing using on-car sensors
Kapacitetsanalys busståg - förstudie
Analys av High Capacity Transports säkerhet och effektivitet genom trafikflödeshinder