Gyozo Gidofalvi

About Gyozo Gidofalvi

Gyozo Gidofalvi, With an exceptional h-index of 21 and a recent h-index of 14 (since 2020), a distinguished researcher at Kungliga Tekniska högskolan, specializes in the field of Mobility data mining, big data analysis, geostreaming, machine learning.

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

Urban network geofencing with dynamic speed limit policy via deep reinforcement learning

A Novel Method for Extracting and Analyzing the Geometry Properties of the Shortest Pedestrian Paths Focusing on Open Geospatial Data

Modular vehicle routing for combined passenger and freight transport

Multi-purpose pickup and delivery problem for combined passenger and freight transport

Towards a better understanding of the health impacts of one’s movement in space and time

Improving Operational Efficiency In EV Ridepooling Fleets By Predictive Exploitation of Idle Times

Smart Control and Feasibility Analysis of Shared Electric Vehicle Charging Robots

Multi-purpose vehicle assignment for combined passenger and freight transport

Gyozo Gidofalvi Information

University

Position

Associate Professor of Geoinformatics Sweden

Citations(all)

1613

Citations(since 2020)

818

Cited By

1077

hIndex(all)

21

hIndex(since 2020)

14

i10Index(all)

30

i10Index(since 2020)

16

Email

University Profile Page

Google Scholar

Gyozo Gidofalvi Skills & Research Interests

Mobility data mining

big data analysis

geostreaming

machine learning

Top articles of Gyozo Gidofalvi

Urban network geofencing with dynamic speed limit policy via deep reinforcement learning

Transportation Research Part A: Policy and Practice

2024/5/1

A Novel Method for Extracting and Analyzing the Geometry Properties of the Shortest Pedestrian Paths Focusing on Open Geospatial Data

ISPRS International Journal of Geo-Information

2023/7/19

Modular vehicle routing for combined passenger and freight transport

Transportation Research Part A: Policy and Practice

2023/7/1

Multi-purpose pickup and delivery problem for combined passenger and freight transport

arXiv preprint arXiv:2210.05700

2022/10/11

Towards a better understanding of the health impacts of one’s movement in space and time

Journal of Location Based Services

2022/10/2

Improving Operational Efficiency In EV Ridepooling Fleets By Predictive Exploitation of Idle Times

arXiv preprint arXiv:2208.14852

2022/8/30

Smart Control and Feasibility Analysis of Shared Electric Vehicle Charging Robots

2022/5/20

Multi-purpose vehicle assignment for combined passenger and freight transport

2022

Towards a sustainable useof electric vehicles

2022

Mobile Phone Data as Alternative Source of Information for Affected Disaster Areas Detection after a Severe Cyclone

AGU Fall Meeting Abstracts

2021/12

Gyozo Gidofalvi
Gyozo Gidofalvi

H-Index: 13

Built Environment Characteristics, Daily Travel, and Biometric Readings: Creation of an Experimental Tool Based on a Smartwatch Platform

Sustainability

2021/9/6

Spatial distribution of displaced population estimated using mobile phone data to support disaster response activities

ISPRS International Journal of Geo-Information

2021/6/20

Mapping the intellectual structure of GIS-T field (2008–2019): A dynamic co-word analysis

Scientometrics

2021/4

How will digitalization change road freight transport? Scenarios tested in Sweden

Sustainability

2020/12/31

Detecting regional dominant movement patterns in trajectory data with a convolutional neural network

International Journal of Geographical Information Science

2020/5/3

Efficient Comparison of Contiguous Sequential Patterns in GPS Trajectory Data by Bidirectional Pruning

2020

Matching Sparse GPS Data to Large Scale Road Network Accelerated by AStar Search

2020

A matching algorithm to study the evolution of logistics facilities extracted from GPS traces

Transportation Research Procedia

2020/1/1

The potential of route based ERS network optimization: Transport demand optimized electric road placement

2020

See List of Professors in Gyozo Gidofalvi University(Kungliga Tekniska högskolan)