Research Projects - Current

SafeVRU - Safe Interaction of Automated Vehicles with Vulnerable Road Users (2017-2021, NWO-TTW)

Address the interaction of highly automated vehicles with vulnerable road users (VRU) such as pedestrians and cyclists, in the context of future urban mobility. Pursue an integrated approach, covering the spectrum of VRU sensing, cooperative localization, behaviour modeling & intent recognition and vehicle control. Coordinator: TU Delft. User Group: Province of Gelderland, TNO, NXP, 2GetThere, SWOV, RDW.
Contact: Prof. Dr. D. M. Gavrila

I-AT (Interregional Automated Transport (2017-2021, Interreg)

Driverless shuttles are developed to operate in Wageningen, Airport Weeze and Aachen-Vaals. Partners: Province of Gelderland, HAN, Spring, Veenis, van Boekel, ASEAG, TU Delft, V-Tron, FromAtoB, projaegt, DYNTEQ, Royal Haskoning GMBH, Robot Engineering Systems, Zwart UG, Becker Büttner Held, Noot Personenbevoer, Airport Weeze Flughafen Niederrhein, Qing Mechatronics.
Contact: Dr. R. Happee

IAVTRM - From Individual Automated Vehicles to Cooperative Traffic Management (2014-2019, NWO TTW)

The human interaction with automation will be investigated in driving simulators, on a test track, on a closed highway and in mixed traffic on public highways, to quantify use and disuse of automation, human behaviour in mode transitions as well as trust, acceptance, and mode awareness.
Coordinator: TU Delft. Partners:, Toyota Motor Europe, TNO, SWOV, NXP, Imtech Traffic & Infra, RDW, Connekt, Technolution, Almende, V-tron, Trinité Automation.
Contact: Dr. R. Happee

S4-DRIVE - Standardized Self-Diagnostic Sensing Systems for Highly Automated Driving (2015-2019, NWO-TTW)

Automated driving requires the environment perception sensors to be aware of their quality-of-service. Can the sensors still sense the traffic ahead, even when it snows? Do the combined sensors provide environment perception of a sufficient accuracy and reliability to define safe path and speed control strategies? Coordinator: TU Delft, User Group: NXP, TNO, Toyota Motor Europe, Tata Motors European Tech. Centre, Technolution, InnoSenT GmbH, Melexis, VisLab.
Contact: Dr. R. Happee

HF Auto - Human Factors of Automated Driving (2013 - 2017, EU FP7)

HFAuto investigates human behaviour in automated driving using extensive driving simulator studies with a newly developed driver state monitor. A multimodal HMI will be developed supporting the driver in HAD and in transitions between automated and manual driving. Driver cognition and behaviour will be captured in mathematical driver and traffic flow models. Using this methodology we will predict benefits of HAD in terms of enhanced safety, traffic efficiency and eco-driving before system introduction. Taking into account legal, human and technical requirements a roadmap for market introduction of HAD will be proposed. Partners: TU Delft, TU Munich, Univ. of Southampton, Chalmers Univ. of Techn, Univ. of Twente, IFSTTAR, VTI, Volvo Technology Cooperation, Volvo Car Corporation, BMW, Jaguar Land Rover, Toyota Motor Europe, Continental Automotive GmbH, TNO and SWOV.

Contact: Dr. R. Happee

 

Truck Merging Support - Step Towards Automated Driving (2013-2017, NWO-TTW)

Project focus is on a specific safety-critical highway task: merging. Using wheel load measurements, steering system measurements, and RADAR we will obtain a precise understanding of the lateral merging motion of modern trucks. Using this information, a merging assistant will be developed, a system that will provide adaptive levels of support varying from providing information to enhance driver situation awareness, towards guidance and automation. Human machine interfaces will optimally combine haptic (force), acoustic and visual cues. The system will be experimentally evaluated in a driving simulator, with specific focus on evaluating safety and human factors side effects such as behavioural adaptation. Coordinator: TU Delft. Partners: TU/e, DAF, NXP, TNO, SKF.
Contact: Dr. B. Shyrokau

EVE - Innovative Engineering of Ground Vehicles with Integrated Chassis Systems (2015-2017, EU H2020)

Innovation technologies in ground vehicle engineering require strong interdisciplinary and intersectoral investigations with an international dimension. In this context the project EVE proposes sustainable approach based on intensive staff exchange that leads to collaborative research and training between universities and industrial organizations from Germany, Belgium, Spain, The Netherlands, South Africa, and the USA. The project objectives are focused on the development of (i) experimental tyre database that can be used in the design of new chassis control systems, (ii) advanced models of ground vehicles and automotive subsystems for real-time applications, and (iii) novel integrated chassis control methods.
Partners: TU Delft, TU Ilmenau, Chalmers University of Technology, ITA, Tenneco Inc., dSPACE GmbH, SKF BV, University of Pretoria, Virginia Tech, Gerotek, ESTEQ Engineering Ltd.
Contact: Dr. B. Shyrokau

ITEAM - Interdisciplinary Training Network in Multi-Actuated Ground Vehicles (2016-2019, EU H2020)

The main target of the ITEAM project is to establish and sustainably maintain the European training network with high inter-disciplinarily, which will train strong specialists skilled in research and development of novel technologies in the field of multi-actuated ground vehicles (MAGV). The global goals are: (i) Advance of European postgraduate education in the area of environment- and user-friendly vehicle technologies that highly demanded by the European industry and society; (ii) Reinforcement of cooperation between academia and industry to improve career perspectives of talented graduates in both public and private sectors; (iii) Creation of strong European research and innovation group making determinant contributions to next generations of multi-actuated ground vehicles. To achieve the project objectives, the consortium unites 11 beneficiaries and 5 partner organizations from 9 European countries including 7 universities, 2 research centres, and 7 non-academic organizations. Partners: TU Ilmenau, AVL, University of Technology of Compiègne, Conventry University, Flanders Make, Infinion Technologies AG, KU Leuven, SKODA AUTO, University of Pavia, VIRTUAL VEHICLE Research Center, Volvo Car Group, IPG Automotive GmbH, Jaguar Land Rover Ltd., TU Delft, The University of Liverpool, Institute of Information Theory and Automation.
Contact: Dr. B. Shyrokau

Research Projects - Past

WePod (2015-2016)

Driverless shuttles have been developed to operate in mixed traffic at low speed, connecting the Ede-Wageningen station and the Wageningen University (province of Gelderland), in view of on-demand 24/7 driverless transportation.
Coordinator: TU Delft. Partners: Spring, Mapscape, RCS, Technolution, Ibeo, EasyMile
Contact: R. Happee