Riender Happee

Riender Happee

Technische Universiteit Delft

H-index: 49

Europe-Netherlands

About Riender Happee

Riender Happee, With an exceptional h-index of 49 and a recent h-index of 39 (since 2020), a distinguished researcher at Technische Universiteit Delft, specializes in the field of Automotive, Human Factors, Biomechanics, Comfort.

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

A risk‐based driver behaviour model

Measurement of the lateral characteristics and identification of the Magic Formula parameters of city and cargo bicycle tyres

How manoeuvre information via auditory (spatial and beep) and visual UI can enhance trust and acceptance in automated driving

Occupants’ Motion Comfort and Driver’s Feel: An Explorative Study About Their Relation in Remote Driving

Conceptualising user comfort in automated driving: Findings from an expert group workshop

Once a driver, always a driver—Manual driving style persists in automated driving takeover

The role of vision in sensory integration models for predicting motion perception and sickness

An Unscented Kalman Filter-Informed Neural Network for Vehicle Sideslip Angle Estimation

Riender Happee Information

University

Position

Associate Professor

Citations(all)

11244

Citations(since 2020)

8155

Cited By

5974

hIndex(all)

49

hIndex(since 2020)

39

i10Index(all)

137

i10Index(since 2020)

105

Email

University Profile Page

Technische Universiteit Delft

Google Scholar

View Google Scholar Profile

Riender Happee Skills & Research Interests

Automotive

Human Factors

Biomechanics

Comfort

Top articles of Riender Happee

Title

Journal

Author(s)

Publication Date

A risk‐based driver behaviour model

IET Intelligent Transport Systems

Yuxia Yuan

Xinwei Wang

Simeon Calvert

Riender Happee

Meng Wang

2024/1

Measurement of the lateral characteristics and identification of the Magic Formula parameters of city and cargo bicycle tyres

Vehicle System Dynamics

G Dell’Orto

G Mastinu

R Happee

JK Moore

2024/4/9

How manoeuvre information via auditory (spatial and beep) and visual UI can enhance trust and acceptance in automated driving

Transportation research part F: traffic psychology and behaviour

Soyeon Kim

René van Egmond

Riender Happee

2024/1/1

Occupants’ Motion Comfort and Driver’s Feel: An Explorative Study About Their Relation in Remote Driving

IEEE Transactions on Intelligent Transportation Systems

Georgios Papaioannou

Lin Zhao

Mikael Nybacka

Jenny Jerrelind

Riender Happee

...

2024/4/1

Conceptualising user comfort in automated driving: Findings from an expert group workshop

Chen Peng

Stefanie Horn

Ruth Madigan

Claus Marberger

John D Lee

...

2023/2/3

Once a driver, always a driver—Manual driving style persists in automated driving takeover

JCF de Winter

Koen Verschoor

Fabian Doubek

R Happee

2024/2

The role of vision in sensory integration models for predicting motion perception and sickness

Experimental brain research

Varun Kotian

Tugrul Irmak

Daan Pool

Riender Happee

2024/1/23

An Unscented Kalman Filter-Informed Neural Network for Vehicle Sideslip Angle Estimation

IEEE Transactions on Vehicular Technology

Alberto Bertipaglia

Mohsen Alirezaei

Riender Happee

Barys Shyrokau

2024/4/16

Connected Traffic of Vulnerable Bicyclists and Automated Vehicles: Deep Learning Trajectory Generation for Realistic Simulated Bicycle Intersection Crossings

CM Schmidt

JK Moore

A Dabiri

R Happee

F Schulte

2023/5/3

A new computational perceived risk model for automated vehicles based on potential collision avoidance difficulty (PCAD)

arXiv preprint arXiv:2306.08458

Xiaolin He

Riender Happee

Meng Wang

2023/6/14

The impact of body and head dynamics on motion comfort assessment

arXiv preprint arXiv:2307.03608

Georgios Papaioannou

Raj Desai

Riender Happee

2023/7/7

Model Predictive Contouring Control for Vehicle Obstacle Avoidance at the Limit of Handling

arXiv preprint arXiv:2308.06742

Alberto Bertipaglia

Mohsen Alirezaei

Riender Happee

Barys Shyrokau

2023/8/13

Validation of a novel bicycle simulator with realistic lateral and roll motion

Vehicle System Dynamics

Jelle Haasnoot

Riender Happee

Volkert van der Wijk

Arend L Schwab

2023/10/4

(Mis-) use of standard Autopilot and Full Self-Driving (FSD) Beta: Results from interviews with users of Tesla's FSD Beta

Frontiers in psychology

Sina Nordhoff

John D Lee

Simeon C Calvert

Siri Berge

Marjan Hagenzieker

...

2023/2/23

Essential Bicycle Dynamics for Microscopic Traffic Simulation: An Example Using the Social Force Model

Christoph M Schmidt

Azita Dabiri

Frederik Schulte

Riender Happee

Jason K Moore

2023/4/28

Beyond Beeps: Designing Ambient Sound as a Take-Over Request in Automated Vehicles.

Soyeon Kim

Riender Happee

René van Egmond

2023

Optimal Trajectory Planning for Mitigated Motion Sickness: Simulator Study Assessment

IEEE Transactions on Intelligent Transportation Systems

Vishrut Jain

Sandeep Suresh Kumar

Georgios Papaioannou

Riender Happee

Barys Shyrokau

2023/6/12

Simulating vibration transmission and comfort in automated driving integrating models of seat, body, postural stabilization and motion perception

arXiv preprint arXiv:2306.16344

Riender Happee

Raj Desai

Georgios Papaioannou

2023/6/28

Motorcycle simulator subjective and objective validation for low speed maneuvering

Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering

Marco Grottoli

Max Mulder

Riender Happee

2023/8

Evaluation of motion comfort using advanced active human body models and efficient simplified models

Raj Desai

Marko Cvetkovié

Georgios Papaioannou

Riender Happee

2023/9/24

See List of Professors in Riender Happee University(Technische Universiteit Delft)

Co-Authors

H-index: 104
Neville A Stanton

Neville A Stanton

University of Southampton

H-index: 73
Frans van der Helm

Frans van der Helm

Technische Universiteit Delft

H-index: 62
Joost de Winter

Joost de Winter

Technische Universiteit Delft

H-index: 61
Bart van Arem

Bart van Arem

Technische Universiteit Delft

H-index: 52
Natasha Merat

Natasha Merat

University of Leeds

H-index: 40
Alfred Schouten

Alfred Schouten

Technische Universiteit Delft

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