Quartier mobility refers to the mobility of people
and goods in a neighborhood in public space with
distances less than 3 km. A quartier can be a
residential district, a shopping street, a
pedestrian area, a park, a school or university
campus, or a corporate home. Road users are usually
pedestrians or cyclists and scooter riders, but
also disabled or limited pedestrians with walkers or
with a blind stick, and slow vehicles for
transporting people and goods.
Due to the different needs of road users, conflicts
arise as to their various requirements. The
problem becomes more difficult by the increasing
population density in
urban areas as well as aspects of sustainability,
security, environmental protection and special
needs. Due to different speeds, such as pedestrians
and cyclists or different space requirements of
construction sites and parcel services, issues arise
for equitable distribution and optimization.
The TIQ project wants to actively shape mobile
change. The aim is to find ways of improving the
quality of life and the mobility needs of all road
users in a quartier. Methods of modern
computer science and engineering should contribute
to this.
One part of the project will be to develop a
sensor setup which will help to gather meta
information of all movement in the area:
Pedestrians, cyclists, skateboarders, electro
scooters, postal serivce, caretaker and so on.
Special emphasis is placed on sensor construction
based on Privacy By Design principle, which does
not allow conclusions to be drawn on individuals.
Sensor data is then to be analysed with data science
methods, in particular machine learning methods.
Attention is directed towards analysis and prediction of activity, visualisation
of the data e.g. for urban planning purposes, as
well as integration of data of other sources like
weather and air pollution data. Interaction with
road users is possible with street lighting, mobile phones, or blind sticks.
A second part of the project includes the
development of vehicles and types of mobility that
enable safe operation within a pedestrian zone. To
mention here is the problem of last mile in
logistics.
In particular research is done in sensory
environment detection on an autonomous outdoor robot
inside a pedestrian zone. In addition autonomous
micro mobility vehicles will be constructed as
technological studies to assist urban planners. We
are striving towards urban mobility which is safe,
available and climate-friendly.
Test Area Intelligent Quartier Mobility (TIQ)
by Stephan Pareigis and Tim Tiedemann

Test Area Intelligent Quartier Mobility (TIQ)
by Stephan Pareigis and Tim Tiedemann
Publications
Robust setup of an Autonomous Mobile Robot research platform with multi-sensor integration in ROS
The paper describes the implementation of an Autonomous Mobile Robot able to na- vigate the environment by combining range and odometry …