Szilárd Aradi

About Szilárd Aradi

Szilárd Aradi, With an exceptional h-index of 14 and a recent h-index of 13 (since 2020), a distinguished researcher at Budapesti Muszaki és Gazdaságtudományi Egyetem,

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

Model Development for Off-Road Traction Control: A Linear Parameter-Varying Approach

Traffic Signal Control with Successor Feature-Based Deep Reinforcement Learning Agent

Runtime Performance Analysis of a MILP-Based Real-Time Railway Traffic Management Algorithm

Multi-agent reinforcement learning for traffic signal control: A cooperative approach

Object-Level Data-Driven Sensor Simulation for Automotive Environment Perception

A Runtime-Efficient Multi-Object Tracking Approach for Automotive Perception Systems

Multi-Agent Reinforcement Learning for railway rescheduling

Reinforcement learning-based motion planning methods

Szilárd Aradi Information

University

Position

___

Citations(all)

1093

Citations(since 2020)

937

Cited By

371

hIndex(all)

14

hIndex(since 2020)

13

i10Index(all)

23

i10Index(since 2020)

23

Email

University Profile Page

Budapesti Muszaki és Gazdaságtudományi Egyetem

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Top articles of Szilárd Aradi

Title

Journal

Author(s)

Publication Date

Model Development for Off-Road Traction Control: A Linear Parameter-Varying Approach

Agriculture

Adam Szabo

Daniel Karoly Doba

Szilard Aradi

Peter Kiss

2024/3/19

Traffic Signal Control with Successor Feature-Based Deep Reinforcement Learning Agent

Electronics

Laszlo Szoke

Szilárd Aradi

Tamás Bécsi

2023/1

Runtime Performance Analysis of a MILP-Based Real-Time Railway Traffic Management Algorithm

Szilárd Aradi

László Lindenmaier

István Ferenc Lövátei

2023/9/21

Multi-agent reinforcement learning for traffic signal control: A cooperative approach

arXiv preprint arXiv:2204.12190

Qize Jiang

Minhao Qin

Shengmin Shi

Weiwei Sun

Baihua Zheng

2022/4/26

Object-Level Data-Driven Sensor Simulation for Automotive Environment Perception

IEEE Transactions on Intelligent Vehicles

László Lindenmaier

Szilárd Aradi

Tamás Bécsi

Olivér Törő

Péter Gáspár

2023/6/19

A Runtime-Efficient Multi-Object Tracking Approach for Automotive Perception Systems

László Lindenmaier

Balázs Czibere

Szilárd Aradi

Tamás Bécsi

2023/5/23

Multi-Agent Reinforcement Learning for railway rescheduling

Bálint Kővári

Csanád L Balogh

Szilárd Aradi

2023/5/23

Reinforcement learning-based motion planning methods

Arpád Fehér

Szilárd Aradi

2023/3/31

Maneuver Classification of Dynamic Occupancy Grid Time Series From Highway Traffic

Olivér Rákos

Szilárd Aradi

2022/3/2

Reward design for intelligent intersection control to reduce emission

IEEE Access

Bálint Kővári

Bálint Pelenczei

Szilárd Aradi

Tamás Bécsi

2022/4/11

Competitive Multi-Agent Reinforcement Learning for Traffic Signal Control

Bálint Kóvári

Máté Kolat

Tamás Bécsi

Szilárd Aradi

2022/9/15

LPV-based modeling of a floating piston pneumatic actuator

Adam Szabo

Tamas Becsi

Szilard Aradi

2022/3/2

Online trajectory planning with reinforcement learning for pedestrian avoidance

Electronics

Árpád Fehér

Szilárd Aradi

Tamás Bécsi

2022/7/27

Development of a gnss based high accuracy measurement system to support vehicle dynamics testing

Árpád Fehér

Gábor Kardos

Ádám Szabó

Szilárd Aradi

2022

Skills to drive: Successor features for autonomous highway pilot

IEEE Transactions on Intelligent Transportation Systems

Laszlo Szoke

Szilárd Aradi

Tamás Bécsi

Péter Gáspár

2022/2/23

Defining metrics for scenario-based evaluation of autonomous vehicle models

Peter Farkas

Laszlo Szoke

Szilard Aradi

2022/10/12

Milp-based optimization of the extended real-time railway traffic management problem

László Lindenmaier

Szilárd Aradi

Tamás Bécsi

István Ferenc Lövétei

2022/5/25

Comparison of sensor data fusion algorithms for automotive perception system

László Lindenmaier

Szilárd Aradi

Tamás Bécsi

Olivér Törő

2022/3/2

Environment representations of railway infrastructure for reinforcement learning-based traffic control

Applied Sciences

István Lövétei

Bálint Kővári

Tamás Bécsi

Szilárd Aradi

2022/4/28

Efficient Real-time Rail Traffic Optimization: Decomposition of Rerouting, Reordering, and Rescheduling Problem

arXiv preprint arXiv:2209.12689

László Lindenmaier

István Ferenc Lövétei

Szilárd Aradi

2022/9/22

See List of Professors in Szilárd Aradi University(Budapesti Muszaki és Gazdaságtudományi Egyetem)