07/12/2021
Marie Skłodowska-Curie Actions

MSCA-COFUND-CLEAR-Doc - PhD Position #CD21-37 "Consideration of the characteristics of the infrastructure for the development of a driver assistance system for bicycles"

This job offer has expired


  • ORGANISATION/COMPANY
    Université Gustave Eiffel
  • RESEARCH FIELD
    Computer scienceModelling tools
    Computer scienceSystems design
    EngineeringControl engineering
    EngineeringMechanical engineering
    EngineeringSimulation engineering
  • RESEARCHER PROFILE
    First Stage Researcher (R1)
  • APPLICATION DEADLINE
    21/03/2022 17:00 - Europe/Brussels
  • LOCATION
    France › Marne-La-Vallée
  • TYPE OF CONTRACT
    Temporary
  • JOB STATUS
    Full-time
  • HOURS PER WEEK
    35
  • OFFER STARTING DATE
    03/10/2022
  • EU RESEARCH FRAMEWORK PROGRAMME
    H2020 / Marie Skłodowska-Curie Actions COFUND
  • MARIE CURIE GRANT AGREEMENT NUMBER
    101034248

OFFER DESCRIPTION

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 ([19] [20] [21]), 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.

More Information

Benefits

  • High-quality doctoral training rewarded by a PhD degree, delivered by Université Gustave Eiffel
  • Access to cutting-edge infrastructures for research & innovation.
  • Appointment for a period of 36 months based on a salary of 2 700 € (gross salary per month).
  • Job contract under the French labour legislation in force, respecting health and safety, and social security: 35 hours per week contract, 25 days of annual leave per year.
  • International mobility will be mandatory
  • An international environment supported by the adherence to the European Charter & Code.
  • Access to dedicated CLEAR-Doc trainings with a strong interdisciplinary focus, together with a Career development Plan.

Eligibility criteria

  • At the time of the deadline, applicants must be in possession or finalizing their Master’s degree or equivalent/postgraduate degree. At the time of recruitment, applicants must be in possession of their Master’s degree or equivalent/postgraduate degree which would formally entitle to embark on a doctorate.
  • At the time of the deadline, applicants must be in the first four years (full-time equivalent research experience) of their research career (career breaks excluded) and not yet been awarded a doctoral degree. Career breaks refer to periods of time where the candidate was not active in research, regardless of his/her employment status (sick leave, maternity leave etc). Short stays such as holidays and/or compulsory national service are not taken into account.
  • At the time of the deadline, applicants must not have resided or carried out their main activity (work, studies, etc.) in France for more than 12 months in the 3 years immediately prior to the call deadline.
  • Applicants must be available to start the programme on schedule (around 1st October 2022).

Selection process

Additional comments

  • The First step before applying is contacting the PhD supervisor. You will not be able to apply without an acceptation letter from the PhD supervisor.
  • Please contact the PhD supervisor for any additional detail on job offer.
  • There are no restrictions concerning the age, gender or nationality of the candidates. Applicants with career breaks or variations in the chronological sequence of their career, with mobility experience or with interdisciplinary background or private sector experience are welcome to apply.
  • Support service is available during every step of the application process by email: clear-doc@univ-eiffel.fr

Web site for additional job details

Offer Requirements

  • REQUIRED EDUCATION LEVEL
    Engineering: Master Degree or equivalent
    Computer science: Master Degree or equivalent
  • REQUIRED LANGUAGES
    ENGLISH: Good

Skills/Qualifications

At the time of the deadline, applicants must be in possession or finalizing their Master’s degree or equivalent/postgraduate degree.

At the time of recruitment, applicants must be in possession of their Master’s degree or equivalent/postgraduate degree which would formally entitle to embark on a doctorate.

Specific Requirements

This thesis will be in cosupervision (cotutelle) with University of Bologna (Italy). For more information, contact the PhD thesis supervisor.

Work location(s)
1 position(s) available at
Université Gustave Eiffel
France
France
Marne-La-Vallée
77447
4-20 boulevard Newton Cité Descartes, Champs sur Marne

EURAXESS offer ID: 716465

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