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Road Traffic Safety in Automotive Engineering

Provided by Chalmers University of Technology (ChalmersX)
10–20 hours
per week, for 7 weeks
Free

$200 USD for graded exams and assignments, plus a certificate

Learn the fundamentals of passive and active safety in automotive engineering

 

Start Date:

Before you start

 
Course opens: Sep 3, 2019
Course ends: Oct 21, 2019

What you will learn

  • Current and upcoming means to reduce traffic related fatalities and injuries
  • Car structure design and crash configuration influence on the vehicle occupant loading
  • Principles of future integrated safety systems
  • Human body biomechanical and physiological response
  • Simulations for crash safety assessment
  • Importance of active preventive safety and the complexity of the driver/vehicle/environment (DVE) system
  • Sensor principles and the design and functions of current active safety systems
 
 

Overview

Engineers in the automotive industry are required to understand basic safety concepts. With increasing worldwide efforts to develop connected and self-driving vehicles, traffic safety is facing huge new challenges. This course is for students or professionals who have a bachelor’s degree in mechanical engineering or similar and who are interested in a future in the vehicle industry or in road design and traffic engineering. It's also of value for people already working in these areas who want better insight into safety issues.

This course teaches the fundamentals of active safety (systems for avoiding crashes or reducing crash consequences) as well as passive safety (systems for avoiding or reducing injuries). Key concepts include in-crash protective systems, collision avoidance, and safe automated driving. The course will introduce scientific and engineering methodologies that are used in the development and assessment of traffic safety and vehicle safety. This includes methods to study the different components of real-world traffic systems with the goal to identify and understand safety problems and hazards. It includes methods to investigate the attitudes and behavior of drivers and other road users as well as recent solutions to improve active safety. It also includes methods to study human body tolerance to impact and solutions to minimize the injury risk in crashes.

Study topics include crash data analysis and in-situ observational studies of drivers and other road users by the use of instrumented vehicles and roadside camera systems. Solutions in active safety, such as driver alertness monitoring, driver information as well as collision avoidance and collision mitigation systems, will be described. Examples of in-crash protective systems are combinations of traditional restraints such as seat belts and airbags but with advanced functions such as automatic adaption to the individual occupant as well as pre-collision activation based on advanced integrated sensor systems and communication systems.

The course will be based on recorded lectures that use videos and animations to enhance the experience.  Online tutorials that access simulation models will give the participants an experience of influencing parameters in active safety and passive safety systems.

As a result of support from MathWorks, students will be granted access to MATLAB/Simulink for the duration of the course.

Meet your instructors

Mats Svensson
Professor
Chalmers University of Technology
Giulio Bianchi Piccinini
Assistant Professor
Chalmers University of Technology
Jonas Bärgman
Researcher / Associate Professor
Chalmers University of Technology
András Bálint
Researcher
Chalmers University of Technology
Marco Dozza
Associate Professor at Chalmers, Mechanics and Maritime Sciences, Vehicle Safety
Chalmers University of Technology
Robert Thomson
Professor
Chalmers University of Technology

Learner testimonials

 

Frequently asked questions

 

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This course is part of:

Earn a MicroMasters® Program Certificate in 1 year if courses are taken one at a time.

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    Learn how electric and conventional powertrains work and methods to analyse their performance and energy consumption.

  2. 60–120 hours of effort

    Learn to design hybrid powertrains which meet the needs of modern vehicles, by combining the strengths of both electric motors and combustion engines

  3. Road Traffic Safety in Automotive Engineering
  4. 70–140 hours of effort

    Learn how to model and simulate system dynamics in automotive engineering

  5. 100–200 hours of effort

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    Learn effective tactics for making key decisions when working with autonomous, self-driving vehicles.

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    Learn fundamental algorithms for sensor fusion and non-linear filtering with application to automotive perception systems. 

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