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István Prof. Dr. Lakatos

Heda of Department, Full Professor

University of Szeged

Hungary

Research Interests

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About

István Prof. Dr. Lakatos is a Full Professor and Head of the Department at Széchenyi István University in Hungary. His research areas encompass vehicle diagnostics, traffic safety, and the ecological impacts of automotive technologies. Recent publications include studies on electric scooters, predictive maintenance for road vehicles, and the effects of weather on vehicle aerodynamics.

Articles (29)

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Collaborators (3)

Szabolcs Kocsis Szürke

Széchenyi István Egyetem

HUNGARY

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József Hlinka

Budapest University of Technology and Economics

HUNGARY

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D. M. Kurhan

Dr. Sc. (Tech.) / Professor (Full)

UKRAINE

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István Prof. Dr. Lakatos

Research Interests

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About

Articles (29)

Summary of Two-Dimensional CFD Simulations for Modelling the Effects of Weather Conditions on Vehicle Aerodynamic Properties

An Integrated FMEA–HFACS–Bayesian Framework for Railway Risk Assessment: Specification, Survey-Informed Parameterisation and Demonstration

Priority Flicker in Risk-Based Pedestrian Prioritization: A Baseline Temporal Stability Assessment on the ETH/UCY Benchmark

Influence of Tire Pressure Distribution on Vehicle Cornering and Self-Steering Behavior

Intelligent Pedestrian Model as a Risk-Based Framework for Pedestrian Prioritization

Predictive Repair of Vehicle R1234yf Refrigerant Systems Based on Monitoring of Micro-Leakages

Analysis of Repair Activities of Electric Vehicles, Taking into Account Occupational Health, Safety, Fire Safety, and Environmental Aspects

Simulation of the Turning Assistant in Road Traffic Accident Reconstruction

Passive Occupant Safety Solutions for Non-Conventional Seating Positions

Detection of Brake Disc Deformation With Adaptive Wavelet Neural Networks

Unanswered Questions on the Registration of Electric Scooters from the Perspective of the Automotive Industry and the Law

Economic and Ecological Aspects of Vehicle Diagnostics

According to Whose Morals? The Decision-Making Algorithms of Self-Driving Cars and the Limits of the Law

Building a Training Dataset for Machine Learning, Radar-Based Pedestrian Detection

Extended Measurement Methods for Onboard Detection of Brake Disc Deformation

Analytical Overview of Accident Emergencies Arising from the Structure and Characteristics of Various Alternative Fuel Vehicles

How the Influence of Psychoactive Substances Impacts the Road Safety of Drivers

Analyzing Energy Efficiency and Battery Supervision in Electric Bus Integration for Improved Urban Transport Sustainability

Self-Diagnostic Opportunities for Battery Systems in Electric and Hybrid Vehicles

Brake Disc Deformation Detection Using Intuitive Feature Extraction and Machine Learning

Prevalence and Characteristics of Traffic Accidents Endangering Vulnerable Pedestrians in Hungary

Theoretical Study of the Effect of Weather Conditions on Vehicle Aerodynamic Properties

Predictive Maintenance and Predictive Repair of Road Vehicles—Opportunities, Limitations and Practical Applications

The Role of Vehicle Diagnostics in Supporting the Law-Abiding “Behavior” of Self-Driving Vehicles

Vibration Diagnostic Methods of Automatic Transmission Service Requirement Prediction

Cell Fault Identification and Localization Procedure for Lithium-Ion Battery System of Electric Vehicles Based on Real Measurement Data

Developing water supply system in Szőgye

EXAMINATION OF FUEL CONSUMPTION FACTORS, BASICS OF PRECISION AND ON-BOARD DIAGNOSTIC MEASUREMENTS

Integrated application of network traffic and intelligent driver models in the test laboratory analysis of autonomous vehicles and electric vehicles

Collaborators (3)

Szabolcs Kocsis Szürke

József Hlinka

D. M. Kurhan

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