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MSCA-COFUND-CLEAR-Doc - PhD Position #CD22-15: Cognitive district: Micromobility fleet planning and management, and its integration to public transport mobility based on data

13/10/2022

Job Information

Organisation/Company
Université Gustave Eiffel
Department
COSYS-GRETTIA
Research Field
Computer science
Researcher Profile
First Stage Researcher (R1)
Country
France
Application Deadline
Type of Contract
Temporary
Job Status
Full-time
Hours Per Week
35
Is the job funded through the EU Research Framework Programme?
H2020 / Marie Skłodowska-Curie Actions COFUND
Marie Curie Grant Agreement Number
101034248
Is the Job related to staff position within a Research Infrastructure?
No

Offer Description

Cognitive building is an emerging concept based on digital frameworks and IoT networks, that gives a building the capability of learning from users' behavior and environmental data, to increase users comfort, energy-saving, flexible functionality, high durability, and good maintainability. The concept of cognitive district extend this concept to a larger scale with inputs are not related to physical values (temperature, pollution, wind etc) but real-time traffic data in order to achieve a better residencial mobility. The use of data stream mining -or online training as opposed to a classical approach of a once for all training- is particularly appropriate to give the district a capability to analyse the traffic state inside the district and adapt the management of a micromobility fleet to increase the overall mobility for resident. Data Stream Mining provides a brand new approach to data processing, allowing to create adaptive, incremental models that do not need huge amounts of storage size, as the data is processed as it is received.

A diversity of sensing devices densely spread over the infrastructure, vehicles or the travelers’ personal devices act as sources of data flows that are eventually fed into a software running on automatic devices, actuators or control systems producing. These information flows provide enormous opportunities to improve model development and decision-making.

A cognitive district would have the ability to analyse the current traffic state, making short-term forecasting on traffic volume (#veh/15min) and A) produce actions on light signals and actuator of road poles to block or open a street to motorized vehicle (tactial urbanism) ; B) adapt and manage the supply of vehicles from a micromobility fleet, in links with public transportation.

The thesis research will focus on devising methodology to:

- Optimize a micromobility fleet made of automated shuttles, ride-hailing services and shared vehicles: number of vehicles, routes and optimal position of pick-up stations and parking spots

- Plan and manage the fleet in real-time using data stream mining approach, yet giving the district a cognitive capability related to its mobility management.

Two districts of applications will be studied: one is under construction in Chatenay-Malabry and one will be selected in the city of Maspalomas-Spain.

Inputs

• Big data: data from mobile device (CDR data)

• data streams: traffic data from wireless access (Wifi, Bluetooth) probe requests

Outputs

• Improve resident mobility, traffic flow and safety by reducing stops

• Reduce greenhouse gas emissions and noise by facilitating active modes and public transportation

Methods

• data stream mining

• real-time presence monitoring with Wifi/Bluetooth hotspots

• traffic simulation

We are interested in sizing then managing the supply of PMD which is made of three stages:

- Sizing the fleet and finding the best locations of PMD docking stations: the number of PMD per site depends on service costs, the utility brought by the service to the customer, the walking distance to

reach a vehicle and the cost of rebalancing operations to refill empty station during the day,

- Defining a first draft of the service management throughout a typical day,

- Adapt the management of the fleet to real-time measurement of people presence to satisfy the travel demand by PMD over the district.

A preliminary stage of the thesis would have to model presence measurement by wifi hotspots: use of these hotspots to measure the flow of people, and optimization of the placement of these hotspots within a neighborhood to monitor residential μ-mobility. A second step to be done at ULPGC is the Exploitation of these flow measurements by data stream mining methods for the management of a fleet of shared micromobility vehicles.

References

Work at University Las Palmas de Gran Canaria:

Lana et al. From Data to Actions in Intelligent Transportation Systems: A Prescription of Functional Requirements for Model Actionability. Sensors 2021

Guerra-Montenegro et Sanchez-Medina. Traffic Predictive Analysis Through Data Stream Mining. Eurocast 2019.

Sanchez-Medina et al. Data Stream Mining Applied to Maximum Wind Forecasting in the Canary Islands. Sensors 2019.

Work at COSYS-GRETTIA:

Delhoum et al. Modeling Activity-Time to Build Realistic Plannings in Population Synthesis in a Suburban Area. Applied Sciences 2021

Delhoum et al. Activity-Based Demand Modeling for a Future Urban District. Sustainability 2020

https://www.youtube.com/watch?v=UQB0S16a4m4

Requirements

Research Field
Computer science
Education Level
Bachelor Degree or equivalent
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.
Languages
FRENCH
Level
Good
Languages
ENGLISH
Level
Basic

Additional 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

Applicants must fulfil the following 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 fulfil the transnational mobility rule: incoming applicants must not have resided or carried out their main activity (work, studies, etc.) in France for more than 12 months in the 3 previous years.

One application per call per year is allowed.

Applicants must be available full-time to start the programme on schedule (November 1st 2023).

Application rules are enforced by the French doctoral system which specifies a standard duration of 3 years for a full-time PhD together with the MSCA standards and the OTM-R European rules as follows.

Citizens of any nationality may apply to the programme.

There is no age limit.

Selection process

Please refer to the Guide for Applicants available on the CLEAR-Doc website.

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.
  • International Mobility: an international mobility is planned at the University Las Palmas de Gran Canaria, Spain. For more information, please contact 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
Website for additional job details

Work Location(s)

Number of offers available
1
Company/Institute
Université Gustave Eiffel
Country
France
State/Province
Île de France
City
Marne-la-Vallée
Postal Code
77454
Street
5, Boulevard Descartes
Geofield

Contact

City
Marne-La-Vallée
Website
Street
5, Boulevard Descartes
Postal Code
77454
E-Mail
chengbin.chu@univ-eiffel.fr