Open to students
of all nationalities having a bachelor degree

mechanical
transport
electro

Unique in Europe
two years master studies

high level of technical studies

combined with language studies

International cooperation
of six renowned universities

CTU in Prague
HAN
ENSTA Bretagne

ITB Bandung
TU Chemnitz
IFP Paris

Double degree
from two countries

depending on chosen universities and specialisations

Study stay in at least 2 countries

Eight specialisations
offered in the second year of study

Advanced Powertrains
Design of Vehicles
Alternative Powertrains
Modelisation and Computation

Eight specialisations
offered in the second year of study

Vehicle Dynamics and Intelligent Transport Systems
Internal Combustion Engines
Powertrains
Engines and Fuels

Introduction » Study program » Second Year » HAN » Module Intelligent Mobility

Module Intelligent Mobility

Type	Compulsory
Semester	winter
Contact hours	128
Number of credits	15
Type of termination	Exam
Form	Lectures + exercises
Lecturers	Tillema Frans Dr. Ir.
Anotation

TARGET
The module focuses on the following topics:
• Tracking control, with the vehicle-driver system finding its way (semi-) automatically, with or without support of the driver along a certain path. Both path-following and optimal path design (for example in case of overtaking or merging in an automated platoon)
• Automated vehicle guidance, with a discussion of recent developments, including topics like intelligent merging, ACC/stop and go, with chain stability taken into account
• ADA systems, especially focusing on the increasing amount of support systems inside the cabin, and its impact in driver attention, safety, etc.
• Local area and global area mobile communication
• Lane departure warning systems
• Intelligent logistics and chain management
• Special examples of Automated Guided Vehicles, cyber cars and people movers.
• Object recognition (traffic signs, passing pedestrians,..) and classification
• Collision warning and avoidance

CONTENT

The student proposes an improvement to the aforementioned problem and makes an assessment of its viability. To this purpose he applies the proper technique, like prototyping, modeling, analysis or equivalent.
The student collects relevant data, reports on his findings both orally and in writing and he can defend his results.
The student creates a model that reproduces the given problem, thereby showing that he understands the underlying mechanisms of the problem at hand. He can validate the model by generating and/or collecting relevant datasets or he can design and carry out a validation experiment.
The student can communicate and collaborate in an effective way with relevant staff in order to reach his goals.
The student is able to convince the client of his solution by realizing a proof of concept, giving a presentation, writing a paper or otherwise.
The student is able to structure his working process
Dimensions of assessment
- Applying knowledge and understanding (Analyzing and defining problems, Design, Conducting Research)
- Making judgements (Analyzing and defining problems, Design, Conducting Research
- Communication (Managing work processes, Communication and Collaboration)
- Learning skills (Professional development)