David Gundlegård

About David Gundlegård

David Gundlegård, With an exceptional h-index of 13 and a recent h-index of 9 (since 2020), a distinguished researcher at Linköpings Universitet, specializes in the field of Cell phone positioning, road traffic modeling and estimation, Intelligent Transport Systems.

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

Decision support for improved construction traffic management and planning

Multimodal Traffic Management: Project Report

Multimodal trafikledning

Probe-data för kontinuerlig skattning av OD-matriser och länkflöden (CODE PROBE)

Analysis of Route Sets and Attributes in Route Choice Estimation for Urban Traffic Management Using GPS Data

O–D matrix estimation based on data-driven network assignment

Transition towards more efficient road transports: insights from mobility analytics

Clustering in Before-After Studies of ITS Measures

David Gundlegård Information

University

Position

Senior Lecturer in Mobile Communications

Citations(all)

562

Citations(since 2020)

291

Cited By

359

hIndex(all)

13

hIndex(since 2020)

9

i10Index(all)

15

i10Index(since 2020)

9

Email

University Profile Page

Google Scholar

David Gundlegård Skills & Research Interests

Cell phone positioning

road traffic modeling and estimation

Intelligent Transport Systems

Top articles of David Gundlegård

Decision support for improved construction traffic management and planning

Sustainable Cities and Society

2024/2/27

Probe-data för kontinuerlig skattning av OD-matriser och länkflöden (CODE PROBE)

2024

Analysis of Route Sets and Attributes in Route Choice Estimation for Urban Traffic Management Using GPS Data

2024

O–D matrix estimation based on data-driven network assignment

Transportmetrica B: Transport Dynamics

2023/12/31

Transition towards more efficient road transports: insights from mobility analytics

2023/12/5

Clustering in Before-After Studies of ITS Measures

2023/9/24

David Gundlegård
David Gundlegård

H-Index: 8

Spatio-Temporal Public Transport Mode Share Estimation and Analysis Using Mobile Network and Smart Card Data

2023/9/24

Revealing representative day-types in transport networks using traffic data clustering

Journal of Intelligent Transportation Systems

2023/4/20

Pejl-metodik med checklistor: Terrängpejlen, CARER arbetsrapport

2023

David Gundlegård
David Gundlegård

H-Index: 8

Rebecca Stenberg
Rebecca Stenberg

H-Index: 3

Nulägesanalys: Terrängpejlen, CARER arbetsrapport

2023

David Gundlegård
David Gundlegård

H-Index: 8

Rebecca Stenberg
Rebecca Stenberg

H-Index: 3

Lokalisering i oländig terräng: Slutrapport Terrängpejlen-projektet

2023

Rebecca Stenberg
Rebecca Stenberg

H-Index: 3

David Gundlegård
David Gundlegård

H-Index: 8

Utvärdering av styrning med variabla hastighetsgränser med fokus på framkomlighet: en fallstudie på E4 vid Södertälje

2023

David Gundlegård
David Gundlegård

H-Index: 8

Förslag på metodik för systematisk utvärdering av ITS i motorvägsmiljö: en sensorbaserad ansats

2023

David Gundlegård
David Gundlegård

H-Index: 8

Semi-supervised mode classification of inter-city trips from cellular network data

Journal of Big Data Analytics in Transportation

2022/4

Construction related urban disturbances: Identification and linking with an IoT-model

Automation in Construction

2022/2/1

Using flows or speeds in traffic pattern clustering and prediction–does the data type matter?

2022

Störningsfri stad: slutrapport i projektet Visualiserad byggtrafikplanering för en störningsfri stadsutveckling

2022

Similarity and Interchangeability of Flow and Speed Data for Transport Network Day-Type Clustering and Prediction

2021

See List of Professors in David Gundlegård University(Linköpings Universitet)

Co-Authors

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