Consideration of the characteristics of the infrastructure for the development of a driver assistance system for bicycles Université Gustave Eiffel
Detail de l'annonce :
CONSIDERATION OF THE CHARACTERISTICS OF THE INFRASTRUCTURE FOR THE
DEVELOPMENT OF A DRIVER ASSISTANCE SYSTEM FOR BICYCLES
Réf ABG-102164
Sujet de Thèse
06/01/2022
Financement de l'Union européenne
Université Gustave Eiffel - Site de Marne-la-Vallée
Lieu de travail
Champs sur marne - Ile-de-France - France
Intitulé du sujet
Consideration of the characteristics of the infrastructure for the
development of a driver assistance system for bicycles
Champs scientifiques
* Sciences de l’ingénieur
Mots clés
Bicycle modeling, simulator, road safety, estimation, control
DESCRIPTION DU SUJET
To design and validate innovative solutions to improve the mobility of
road users, it is important to take into account the behavior of these
users when they travel. This involves various complementary approaches
such as surveys, studies in natural driving, on tracks or on
simulators. These last, have several advantages: control and
reproducibility of travel conditions and situations, absence of risk,
time savings and reduction in experimentation costs. They are
therefore commonly used as training, development and research tools.
Travel simulators are objects of interdisciplinary research, since
they must restore the visual, sound, dynamic and haptic stimuli to
which users are subjected in their movements. The importance of each
type of restitution depends on the situations studied. They also make
it possible to detect the behavior of drivers and other road users in
various driving situations, while controlling dynamic variables and
avoiding the risks associated with a real environment.
In this thesis, we are mainly interested in the bicycle simulator. The
latter is used for multiple purposes, such as training, sport and
different research disciplines such as virtual reality, dynamic
modeling and study of the behavior and performance of cyclists.
Experimentation in a real environment is not always the most
appropriate means because of its costs, uncontrolled variables and the
risks faced by cyclists. Simulators therefore allow us to detect the
behavior of cyclists and other road users in various driving
situations, while controlling dynamic variables and avoiding the risks
associated with a real environment.
The objective of the proposed thesis is to study the behavior of the
bicycle in interaction with the infrastructure and other road users
and to propose methods to improve its safety. Indeed, we were able to
demonstrate during Mr. Shoman's thesis that infrastructure plays a
major role in the behavior of the cyclist, especially during bad
weather conditions, such as snow. Taking into account infrastructure
parameters, such as road adhesion, radius of curvature and road
profile, is a major challenge in the development of tools and methods
to estimate their influence on rider behavior. Depending on the
parameters from the infrastructure, the dynamic variables of the bike,
such as speed, acceleration and trajectory will be calculated and the
risk of a possible accident (overturning, collision with other users,
etc.) will be estimated. The method that will be developed as part of
this thesis will also be able to offer recommendations to the
infrastructure manager on the improvements to be made to the road in
terms of profile, radius of curvature, maximum speed, etc., for a
road. Safer and smoother. To achieve this, we will use accidents data
to determine the boundary characteristics of the road. Indeed, the
geometric characteristics identified as accident-causing by road
safety studies (small radius, lack of adhesion, etc.) will be taken
into account and considered as inputs to the bycicle model that we are
going to improve. This will make it possible to propose a method for
detecting the limits of driving the bicycle.
Therefore, we propose in this thesis an assistance system. It cannot
be achieved without in-depth modeling and analysis of the Cyclist /
Infrastructure / bicycle system. This modeling is very important for
science, engineering and human factors researchers working in the
fields of transport, user mobility and vehicle dynamics. To achieve
this, the proposed method consists in considering the driver as a
control system making it possible to determine the necessary actions
to ensure the trajectory of the vehicle. This will help to better
understand the behavior of the cyclist and improve the quality of the
bicycle modeling, in interaction with the infrastructure. Indeed, it
is important to identify the type of cyclist and to be able to
classify it according to the assistance you want to provide. Several
parameters that can influence the cyclist will be taken into account,
such as the age, gender, physical or mental capacities of the cyclist.
The information we propose to study will be related to longitudinal or
lateral stresses (braking and acceleration phase, speed levels, etc.).
The study of these indicators will lead to a trajectory model specific
to a category of cyclists defined according to a statistical
classification.
In addition, the use of the simulator will help to study the behavior
of cyclists in different environmental determinants in order to
* identify the elements in the environment that cyclists consider, to
match their driving behavior to the road environment (speed, distance,
etc.);
* understand how cyclists adapt their driving practices according to
the road users with whom they interact;
* specify the driving situations considered to be the most risky in
order to determine how cyclists anticipate these risks and what
strategies (equipment or behavior) they employ to cope;
* investigate cycling errors and behaviors inappropriate for the
situation and the environmental and personal factors that contribute
to such behavior.
Like any road accident resulting from vehicle-driver-infrastructure
interaction, we focus on the study of the interaction between the
bicycle and the road by studying and analyzing the effects of the
characteristics and geometries of the road surface on the behavior of
the cyclist and thus determine whether these effects can lead to
accident-prone situations. The full impact of this research will help
improve the comfort and safety of cyclists and promote the proper
sharing of urban space by cyclists and other road users. The
behavioral aspect of the cyclist will be studied by comparing the
results from the bicycle simulator with those from a real road
situation, performed on an instrumented bicycle. This last step will
be carried out in Italy, in collaboration with University of Bologna
(Italy).
PRISE DE FONCTION :
03/10/2022
NATURE DU FINANCEMENT
Financement de l'Union européenne
PRÉCISIONS SUR LE FINANCEMENT
PRÉSENTATION ÉTABLISSEMENT ET LABO D'ACCUEIL
Université Gustave Eiffel - Site de Marne-la-Vallée
La thèse se déroulera au Laboratoire PICS-L, Université Gustave
Eiffel - Site de Marne-la-Vallée
PROFIL DU CANDIDAT
Knowledge on:
* Mechanics and modeling
* Automation: Estimation, identification, non-linear control
* Embedded system
* A good level of english (written and oral)
Date limite de candidature
21/03/2022