2020 TRAIL International PhD Autumn School on Automated Driving – SEE DATES & FEES

Following the postponement of IEEE Forum on Sustainable and Intelligent Transportation Systems to 3-5 November 2020, we have decided to postpone the ‘Summer’ (now Autumn) school on Automated Driving to 28-30 October 2020.

  • Those who had already registered for the Summer school have been informed by e-mail.
  • Registration is still possible – see link below (How to apply).

Based on the latest COVID-19 developments in the Netherlands, we have decided to lecture online only!

Aim of the autumn school
This autumn school offers PhD students a multidisciplinary basis of knowledge and skills to understand the development and impacts of automated driving. These basis enables the PhD student to choose future research directions, better explain her/his research to colleagues and peers, as well as understand the research approaches and outcomes of her/his colleagues.

Date: Wednesday 28 October – Friday 30 October 2020

Location: online

Organized by: Research School for TRansport, Infrastructure and Logistics (TRAIL)

Target group: International PhD students, both TRAIL and non-TRAIL members

Credits: 1 ECTS

Online: €75 for non-TRAIL members; free for TRAIL members
Special discount: TRAIL PhD Summer School on Automated Driving + IEEE Forum on Intelligent and Sustainable Transportation Systems  = €250

How to apply?
– Submit your application with a short CV & letter of motivation before 10 October – CLICK HERE
– The course managers will select and inform a maximum of 25 candidates by 15 October 2020

Course managers: Prof. Bart van Arem & Dr. Goncalo Correia

Lecturers: Prof. Bart van Arem (TU Delft), Dr. Goncalo Correia (TU Delft), Dr. Niels Agatz (EUR), Tom Alkim MSc (European Commission), Dr. Haneen Farah (TU Delft), Prof. Kara Kockelman (UTexas), Robert Lohman MSc (2GetThere), Prof. Vincent Marchau (TU Delft/Radboud University)

For whom is the autumn school intended?
Participation is open for national and international PhD-students that are either performing research in the domain of automated driving or are interested in exploring this topic for their research.

Who is organizing this autumn school?
The summer school is organized by TRAIL: the Dutch research school in the area of Transport, Infrastructure and Logistics (TIL), supported by 6 universities. Its main objective is to provide high quality training and education for PhD students in the TIL domain.
The autumn school is organized in collaboration with the Spatial and Transport impacts of Automated Driving (STAD) project, funded by the Smart Urban Regions of the Future program of The Netherlands Organisation for Scientific Research. There is also support from the hEAT Lab (research on Electric and Automated Transport) from the Department of Transport & Planning of the TU Delft: https://www.tudelft.nl/citg/heat-lab/)

Setup of the autumn school
This autumn school will involve a mix of lectures and online interactive sessions. The lectures will be given by top-scientists from different disciplines within TRAIL. Interactive sessions with intensive feedback from scientists and from fellow PhD students will be dedicated to the application of the theory to specific cases. A certificate of 1 ECTS will be provided upon successful completion.

In short, the (provisional) program of the autumn school is as follows:

  • Wednesday 28 October 2020: Welcome by TRAIL, Introduction to Automated Driving (Bart van Arem), EU perspective on Automated Driving (Tom Alkim), AV and Human Factors (Haneen Farah/Silvia Varotto), AV and Ethics (Fillippo Santo Di Sio)
  • Thursday 29 October 2020: AV and traffic (Simeon Calvert), AV and Travel Behaviour & AV meets PT (Goncalo Correia), Parkshuttle (Robert Lohman), AV and Freight (Niels Agatz)
  • Friday 30 October 2020: AV and Infrastucture (Haneen Farah), Impacts of Automated Driving (Bart van Arem), Automated Driving Policies (Vincent Marchau), Preparing a Nation for Automated Vehicles (Kara Kockelman, Goncalo Correia)

During this autumn school you will learn from, and work under the supervision of top scientists in the domain of Automated Driving. This gives you the opportunity to make a major step forward in your research. Moreover, you will have the opportunity to extend your network and set-up new research contacts.



© 2020 Research School TRAIL