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Analysis and modelling road user behaviour (Chalmers University Summer School)
APPLICATION CLOSED - 13 – 17 September 2021 - The course aims to provide with the human factors theoretical foundations for the analysis and modelling of road-user behaviour, within the context of road safety and development of driving automation systems.
Keywords: active safety systems, automated driving, crash causation, human behaviour, naturalistic driving data, safety assessment, vulnerable road users
EXTENDED: Monday, 19 July 2021 at 12 noon (CET)
13 – 17 September 2021
13 – 17 September 2021
Road crashes are a global concern: The World Health Organization estimates that 1.35 million road fatalities occur worldwide every year and road crashes are currently the leading cause of death for people aged 5-29 years. In Europe, although road fatalities have significantly decreased during the period 2007-2016, a less evident reduction has been shown since 2013, and a complete stagnation for cyclists’ fatalities during 2010-2018. The current situation calls for more research investigating road-user behavior, to support the design of active safety systems and automated driving and for the creation of driver’s training and coaching procedures. With the aim to enhance knowledge on the topic, this course embraces a multi-disciplinary approach to provide the theoretical foundations and the experimental methodologies to analyze and modelling road-user behavior.
Learning outcomes:
- Explain the importance of analyzing and modelling road-user behavior, for improving road safety.
- Illustrate different types of human factors theoretical driver models.
- Compute relevant quantitative and qualitative metrics, to analyze and model road-user behavior.
- Identify the challenges in the analysis of real-traffic data from naturalistic studies.
- Compare the currently available tools for the virtual evaluation of active safety systems.
_This course will be supervised and taught by professors of the Chalmers University of Technology_
Road crashes are a global concern: The World Health Organization estimates that 1.35 million road fatalities occur worldwide every year and road crashes are currently the leading cause of death for people aged 5-29 years. In Europe, although road fatalities have significantly decreased during the period 2007-2016, a less evident reduction has been shown since 2013, and a complete stagnation for cyclists’ fatalities during 2010-2018. The current situation calls for more research investigating road-user behavior, to support the design of active safety systems and automated driving and for the creation of driver’s training and coaching procedures. With the aim to enhance knowledge on the topic, this course embraces a multi-disciplinary approach to provide the theoretical foundations and the experimental methodologies to analyze and modelling road-user behavior.
Learning outcomes:
- Explain the importance of analyzing and modelling road-user behavior, for improving road safety. - Illustrate different types of human factors theoretical driver models. - Compute relevant quantitative and qualitative metrics, to analyze and model road-user behavior. - Identify the challenges in the analysis of real-traffic data from naturalistic studies. - Compare the currently available tools for the virtual evaluation of active safety systems.
_This course will be supervised and taught by professors of the Chalmers University of Technology_
- **13 September** Welcome reception; Introduction to road-user behaviour and road crash prevention
- **14 September** Quantitative and qualitative measures of road-user behavior; Quantitative analysis of driving simulator data (exercise); Guided visit of the city
- **15 September** Naturalistic data for analysis, modelling, and assessment of road-user behavior; Analysis of Naturalistic data (exercise)
- **16 September** Models of road user behaviour; Sensors; Study visit (more information provided later)
- **17 September** Assessment of safety benefits associated to the introduction of active safety systems; Study visit (more information provided later); Closure and debriefing
- **13 September** Welcome reception; Introduction to road-user behaviour and road crash prevention - **14 September** Quantitative and qualitative measures of road-user behavior; Quantitative analysis of driving simulator data (exercise); Guided visit of the city - **15 September** Naturalistic data for analysis, modelling, and assessment of road-user behavior; Analysis of Naturalistic data (exercise) - **16 September** Models of road user behaviour; Sensors; Study visit (more information provided later) - **17 September** Assessment of safety benefits associated to the introduction of active safety systems; Study visit (more information provided later); Closure and debriefing
Participation Details
Due to the world-wide restrictions concerning Covid-19 and in order to protect our participants and lecturers, IDEA League is offering the Summer Schools in an online format.
Due to the world-wide restrictions concerning Covid-19 and in order to protect our participants and lecturers, IDEA League is offering the Summer Schools in an online format.
TBD
TBD
Normally, there are no registration, tuition, and accommodation fees. Typically, students from IDEA League member universities selected to participate in this summer school only have to pay for their own travel costs.
Normally, there are no registration, tuition, and accommodation fees. Typically, students from IDEA League member universities selected to participate in this summer school only have to pay for their own travel costs.
How to apply
Application is open to Master and PhD Students of the member universities of the IDEA League Alliance http://idealeague.org :
- Chalmers University of Technology
- ETH Zürich
- Politecnico di Milano
- RWTH Aachen
- TU Delft
This summer school is also open to students from the ASPIRE League (http://www.aspireleague.org) alliance.
Application is open to Master and PhD Students of the member universities of the IDEA League Alliance http://idealeague.org :
- Chalmers University of Technology - ETH Zürich - Politecnico di Milano - RWTH Aachen - TU Delft
This summer school is also open to students from the ASPIRE League (http://www.aspireleague.org) alliance.
In order to apply you need to **login to SiROP with your university account**. When your email belongs to a partner university the affiliation is created automatically.
After successful affiliation you can return to this event and you will find a **button "Apply" right at the top**.
If you need to affiliate manually please see: http://bit.ly/sirop-affiliate
In order to apply you need to **login to SiROP with your university account**. When your email belongs to a partner university the affiliation is created automatically.
After successful affiliation you can return to this event and you will find a **button "Apply" right at the top**.
If you need to affiliate manually please see: http://bit.ly/sirop-affiliate
The following documents will be requested from you as attachments you will have to upload with your application:
- Curriculum vitae & publications list
- Letter of motivation
- Letter of recommendation (optional)
- Supervisor approval (for PhD students from Chalmers)
The following documents will be requested from you as attachments you will have to upload with your application:
- Curriculum vitae & publications list - Letter of motivation - Letter of recommendation (optional) - Supervisor approval (for PhD students from Chalmers)
For more information please read the FAQ:
http://idealeague.org/students/summerschools/
If you have any further questions regarding the application process, please contact the organizer office@idealeague.org.
For more information please read the FAQ:
http://idealeague.org/students/summerschools/
If you have any further questions regarding the application process, please contact the organizer office@idealeague.org.
The IDEA League offers the students of the network (Chalmers, ETH Zurich, Politecnico di Milano, RWTH Aachen, TU Delft) the unique opportunity to develop new insights into current research, and to enhance their skills and academic excellence.