WG2 Rider Behaviour
Contacts
Country | Name | Company |
DE | Sebastian Will (LEADER) | WIVW |
FR | Stéphane Espié (CO-LEADER) | IFFSTAR |
DE | Raphael Pless (CO-LEADER) | TU Darmstadt |
– | – | – |
IT | Niccolò Baldanzini | UNIFI |
BG | Kiril Barzev | UNI RUSE |
DE | Klaus Bauer | LMU |
NL | Marjolein Boele | SWOV |
BE | Francesco Celiberti | SIEMENS |
FR | Cécile Coquelet | IFSTTAR |
NL | Saskia de Craen | SWOV |
NL | Martijn de Mooij | Cruden |
SE | Marco Dozza | CHA |
ES | Adrià Ferrer | IDIADA |
AUS | Michael Fitzharris | MONASH |
BE | Marco Grottoli | SIEMENS |
DE | Sebastian Guth | BMW |
DE | Thomas Hammer | WIVW |
IT | Pedro Huertas Leyva | UNIFI |
B | Christos Ioakeimidis | UNIMONS |
HU | János Juhász | BME |
FI | Lars Leden | LTU |
UK | Roberto Lot | SOTON |
IT | Matteo Massaro | UNIPD |
ES | Mario Maza | University of Zaragoza |
DE | Matthias Moerbe | BOSCH |
IE | Peter Murphy | UL |
IT | Marilee Nugent | UNIFI |
UK | Manuel Picardi | EFA |
IT | Marco Pierini | UNIFI |
IT | Sergio Matteo Savaresi | POLIMI |
IT | Giovanni Savino | UNIFI |
DE | Klaus Schwabe | Biketraining & Consulting Schwabe |
UK | Alex Stedmon | COV |
GR | Ioannis Symeonidis | CERTH |
A | Ernst Tomasch | TUG |
AU | Jessica Truong | TAC |
NO | Truls Vaa | TOI |
CZ | Eva Zackova | UWB |
IL | David Zaidel | 4sight |
Objectives
- To define criteria and experimental tests to characterise rider behaviour in different riding scenarios.
- To further develop PTW simulation technology to assess rider behaviour and enable enhanced PTW-training.
- To characterize the link between psychological constructs and rider behaviour.
- To develop a first criteria catalogue for future testing of new innovative safety products developed in WG4
- To develop technologies to support on-road training activities addressing rider perception, anticipation and control skills, e.g. a braking trainer device.
- To develop methodologies and protocols for combined virtual/real training.
Workplan
This WG will define innovative criteria to evaluate the rider behaviour in different riding scenarios. Riding styles will be characterised to get a clear understanding of the PTW rider’s usual way to react in specific situations, e.g. normal braking conditions or panic braking. The WG will benefit from PTW experts in the field of vehicle dynamics and biomechanics and supported by specialists in human behaviour, such as psychologists, to understand PTW rider’s (re)actions.
This task will aim at building knowledge on how to improve future safety technologies in order to meet the needs of PTW riders including underlying psychological aspects. Depending on the partners’ individual research, methodologies like surveys, discussions with experts, riding simulation and test track studies will deliver information. The riding simulation involved in WG2 exists of a full-size motorcycle mock-up in combination with 180° field of view, sound simulation and flexible SILAB riding scenario control. This offers the opportunity to do research on rider behaviour and especially HMI design within boundaries of normal vehicle dynamics.
Task 2.1 Psychological Aspects
This task will focus on psychological concepts that are related with rider behaviour or riding style. Hazard perception, anticipation of traffic situations, risk perception, reaction competence or general attitudes towards motorcycle riding influence rider behaviour. This connection between psychological aspects and measureable rider behaviour shall be characterized and used to deliver input for adequate rider training.
Task 2.2 Rider Behaviour
This task will start with the definition of criteria to characterise rider behaviour and work on rider modelling and learning algorithms using different riding habits (urban, extra-urban, different countries). This should be the base for developing complex and critical urban and rural traffic scenarios that allow the analysis of rider behaviour in different traffic situations. In parallel, PTW simulator technology will be further developed on the basis of a motorcycle test rig, together with the availability of high-fidelity multi-body simulation models that can run in real-time. This test environment together with the scenarios will then serve as basis for a series of small-scaled studies extended by on-road test activities.
Task 2.3 Rider Training
This task will develop simulator-based training modules in basic as well as especially critical situations retrieved from accident analysis without endangering the riders, dedicated to both novices and experts. This enables the training of automatic action patterns and the implementation of newly designed ARAS into the simulator. A real braking trainer will also be further developed for PTW application. The training environment will be used to set up a dedicated experimental campaign to assess the riders learning process. One result of the task will be a guideline describing the methodology and recommendations for a combined simulator/ on-road training.