Balazs Kulcsar

Balazs Kulcsar

Chalmers tekniska högskola

H-index: 26

Europe-Sweden

About Balazs Kulcsar

Balazs Kulcsar, With an exceptional h-index of 26 and a recent h-index of 16 (since 2020), a distinguished researcher at Chalmers tekniska högskola, specializes in the field of intelligent transportation systems, traffic networks, traffic control, robust control.

His recent articles reflect a diverse array of research interests and contributions to the field:

The Traffic Reaction Model: A kinetic compartmental approach to road traffic modeling

Personalized dynamic pricing policy for electric vehicles: Reinforcement learning approach

Minimum-Delay Opportunity Charging Scheduling for Electric Buses

Less Is More-On the Importance of Sparsification for Transformers and Graph Neural Networks for TSP

Controlled descent training

Data-driven distance metrics for kriging-short-term urban traffic state prediction

Incremental Exponential Stability of the Unidirectional Flow Model

Deep Q‐learning: A robust control approach

Balazs Kulcsar Information

University

Position

___

Citations(all)

2208

Citations(since 2020)

1315

Cited By

1302

hIndex(all)

26

hIndex(since 2020)

16

i10Index(all)

52

i10Index(since 2020)

29

Email

University Profile Page

Chalmers tekniska högskola

Google Scholar

View Google Scholar Profile

Balazs Kulcsar Skills & Research Interests

intelligent transportation systems

traffic networks

traffic control

robust control

Top articles of Balazs Kulcsar

Title

Journal

Author(s)

Publication Date

The Traffic Reaction Model: A kinetic compartmental approach to road traffic modeling

Transportation research part C: emerging technologies

Mike Pereira

B Kulcsár

Gy Lipták

M Kovács

G Szederkényi

2024/1/1

Personalized dynamic pricing policy for electric vehicles: Reinforcement learning approach

Transportation Research Part C: Emerging Technologies

Sangjun Bae

Balazs Kulcsar

Sébastien Gros

2024/4/1

Minimum-Delay Opportunity Charging Scheduling for Electric Buses

arXiv preprint arXiv:2403.17527

Dan McCabe

Balazs Kulcsar

2024/3/26

Less Is More-On the Importance of Sparsification for Transformers and Graph Neural Networks for TSP

arXiv preprint arXiv:2403.17159

Attila Lischka

Jiaming Wu

Rafael Basso

Morteza Haghir Chehreghani

Balázs Kulcsár

2024/3/25

Controlled descent training

International Journal of Robust and Nonlinear Control

Viktor Andersson

Balázs Varga

Vincent Szolnoky

Andreas Syrén

Rebecka Jörnsten

...

2024/1/16

Data-driven distance metrics for kriging-short-term urban traffic state prediction

IEEE Transactions on Intelligent Transportation Systems

Balázs Varga

Mike Pereira

Balázs Kulcsár

Luigi Pariota

Tamás Péni

2023/3/14

Incremental Exponential Stability of the Unidirectional Flow Model

arXiv preprint arXiv:2312.11061

Sondre Wiersdalen

Mike Pereira

Annika Lang

Gabor Szederkenyi

Jean Auriol

...

2023/12/18

Deep Q‐learning: A robust control approach

International Journal of Robust and Nonlinear Control

Balázs Varga

Balázs Kulcsár

Morteza Haghir Chehreghani

2023/1/10

A predictive chance constraint rebalancing approach to mobility-on-demand services

Communications in Transportation Research

Sten Elling Tingstad Jacobsen

Anders Lindman

Balázs Kulcsár

2023/12/1

Back-Pressure Traffic Signal Control in the Presence of Noisy Queue Information

IFAC-PapersOnLine

Themistoklis Charalambous

Muwahida Liaquat

Balázs Kulcsár

Henk Wymeersch

2023/1/1

Collaborative electric vehicle routing with meet points

arXiv preprint arXiv:2310.02797

Fangting Zhou

Ala Arvidsson

Jiaming Wu

Balazs Kulcsar

2023/10/4

Mean-square exponential stabilization of coupled hyperbolic systems with random parameters

IFAC-PapersOnLine

Jean Auriol

Mike Pereira

Balazs Kulcsar

2023/1/1

Integrated Charging Scheduling and Operational Control for an Electric Bus Network

arXiv preprint arXiv:2309.00523

Rémi Lacombe

Nikolce Murgovski

Sébastien Gros

Balázs Kulcsár

2023/9/1

Conflict-free charging and real-time control for an electric bus network

IFAC-PapersOnLine

Rémi Lacombe

Nikolce Murgovski

Sébastien Gros

Balázs Kulcsár

2023/1/1

Critical Zones for Comfortable Collision Avoidance with a Leading Vehicle

arXiv preprint arXiv:2303.14709

Jordanka Kovaceva

Nikolce Murgovski

Balázs Kulcsár

Henk Wymeersch

Jonas Bärgman

2023/3/26

Dynamic stochastic electric vehicle routing with safe reinforcement learning

Transportation research part E: logistics and transportation review

Rafael Basso

Balázs Kulcsár

Ivan Sanchez-Diaz

Xiaobo Qu

2022/1/1

On the interpretability of regularisation for neural networks through model gradient similarity

Advances in Neural Information Processing Systems

Vincent Szolnoky

Viktor Andersson

Balazs Kulcsar

Rebecka Jörnsten

2022/12/6

Parameter and density estimation from real-world traffic data: A kinetic compartmental approach

Transportation Research Part B: Methodological

Mike Pereira

Pinar Boyraz Baykas

Balázs Kulcsár

Annika Lang

2022/1/1

Incident indicators for freeway traffic flow models

Communications in Transportation Research

Azita Dabiri

Balázs Kulcsár

2022/12/1

Distributed eco-driving control of a platoon of electric vehicles through Riccati recursion

IEEE Transactions on Intelligent Transportation Systems

Rémi Lacombe

Sébastien Gros

Nikolce Murgovski

Balázs Kulcsár

2022/11/29

See List of Professors in Balazs Kulcsar University(Chalmers tekniska högskola)