2026 Serge P. Hoogendoorn: Engineering and Technology Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Engineering and Technology	85	387	365	10	8	784	26647

Research.com Recognitions

2026 - Research.com Engineering and Technology in Netherlands Leader Award
2025 - Research.com Engineering and Technology in Netherlands Leader Award
2022 - Research.com Engineering and Technology in Netherlands Leader Award

Overview

Serge P. Hoogendoorn is affiliated with Delft University of Technology in the Netherlands. Their research primarily centers on engineering and social sciences, with a focus on transportation and its various subfields. Their work contributes notably to the domains of transportation planning, urban transport, and mobility innovations.

Hoogendoorn's main fields of study include:

Engineering
Social Sciences

Their subfields of study further specify their expertise in:

Transportation
Automotive Engineering
Ocean Engineering
Building and Construction
Control and Systems Engineering

Major topics covered in Hoogendoorn's research are:

Transportation Planning and Optimization
Urban Transport and Accessibility
Transportation and Mobility Innovations
Evacuation and Crowd Dynamics
Traffic control and management
Human Mobility and Location-Based Analysis
Traffic Prediction and Management Techniques

The scientist has authored numerous papers, with some recent publications including:

A comparison in travel patterns and determinants of user demand between docked and dockless bike-sharing systems using multi-sourced data, 2020, Transportation Research Part A Policy and Practice
Data collection methods for studying pedestrian behaviour: A systematic review, 2020, Building and Environment
Bike-sharing systems' impact on modal shift: A case study in Delft, the Netherlands, 2020, Journal of Cleaner Production
What are the determinants of the willingness to share rides in pooled on-demand services?, 2020, Transportation
Design and operation of dedicated lanes for connected and automated vehicles on motorways: A conceptual framework and research agenda, 2020, Transportation Research Part C Emerging Technologies

Frequent publication venues for Hoogendoorn's work include:

arXiv (Cornell University)
Transportation Research Part C Emerging Technologies
Transportation
Transportation Research Record Journal of the Transportation Research Board
IEEE Transactions on Intelligent Transportation Systems

Hoogendoorn often collaborates with a group of coauthors who have appeared frequently alongside their research, such as:

Niels van Oort
Winnie Daamen
Oded Cats
Dorine C. Duives
Sascha Hoogendoorn-Lanser

Best Publications

Pedestrian route-choice and activity scheduling theory and models

S.P. Hoogendoorn;P.H.L. Bovy

1071
Citations
State-of-the-art of vehicular traffic flow modelling

S P Hoogendoorn;P H L Bovy

1038
Citations
Pedestrian Behavior at Bottlenecks

Serge P. Hoogendoorn;W. Daamen

635
Citations
Accurate freeway travel time prediction with state-space neural networks under missing data

J.W.C. van Lint;S.P. Hoogendoorn;H.J. van Zuylen

568
Citations
State-of-the-art crowd motion simulation models

Dorine C. Duives;Winnie Daamen;Serge P. Hoogendoorn

558
Citations
Experimental research of pedestrian walking behavior

Winnie Daamen;Serge P. Hoogendoorn

455
Citations
A review on travel behaviour modelling in dynamic traffic simulation models for evacuations

Adam J Pel;Michiel C J Bliemer;Serge Paul Hoogendoorn

411
Citations
Simulation of Pedestrian Flows by Optimal Control and Differential Games

Serge Hoogendoorn;Piet H.L. Bovy

368
Citations
Game theoretic approach for predictive lane-changing and car-following control

Meng Wang;Serge P. Hoogendoorn;Winnie Daamen;Bart van Arem

346
Citations
Freeway Travel Time Prediction with State-Space Neural Networks: Modeling State-Space Dynamics with Recurrent Neural Networks:

J. W. C. van Lint;S. P. Hoogendoorn;H. J. van Zuylen

319
Citations
Genealogy of traffic flow models

Femke van Wageningen-Kessels;Hans van Lint;Kees Vuik;Serge P. Hoogendoorn

295
Citations
Drivers and barriers in adopting Mobility as a Service (MaaS) – A latent class cluster analysis of attitudes

María J. Alonso-González;Sascha Hoogendoorn-Lanser;Niels van Oort;Oded Cats

282
Citations
Rolling horizon control framework for driver assistance systems. Part II: Cooperative sensing and cooperative control

Meng Wang;Winnie Daamen;Serge P. Hoogendoorn;Bart van Arem

276
Citations
Heterogeneity In Car-Following Behavior: Theory And Empirics

Saskia Ossen;Serge P. Hoogendoorn

260
Citations
Real-Time Lagrangian Traffic State Estimator for Freeways

Yufei Yuan;J. W. C. van Lint;R. E. Wilson;F. van Wageningen-Kessels

254
Citations
Cycling or walking? Determinants of mode choice in the Netherlands

Danique Ton;Dorine C. Duives;Oded Cats;Sascha Hoogendoorn-Lanser

253
Citations
A Robust and Efficient Method for Fusing Heterogeneous Data from Traffic Sensors on Freeways

J.W.C. Van Lint;Serge P. Hoogendoorn

240
Citations
Rolling horizon control framework for driver assistance systems. Part I: Mathematical formulation and non-cooperative systems

Meng Wang;Winnie Daamen;Serge P. Hoogendoorn;Bart van Arem

234
Citations
Gas-Kinetic Modeling and Simulation of Pedestrian Flows

Serge P Hoogendoorn;Piet H L Bovy

232
Citations
A comparison in travel patterns and determinants of user demand between docked and dockless bike-sharing systems using multi-sourced data

Xinwei Ma;Yanjie Ji;Yufei Yuan;Niels Van Oort

232
Citations
SPECIALIST: A dynamic speed limit control algorithm based on shock wave theory

A. Hegyi;S.P. Hoogendoorn;M. Schreuder;H. Stoelhorst

228
Citations