Phd. in Transportation Systems Analysis and - Bron, France - Université Gustave Eiffel

Université Gustave Eiffel

Entreprise vérifiée

Bron, France

il y a 2 semaines

Posté par:

Sophie Dupont

beBee Recruiter

Description

PhD.

in Transportation Systems Analysis and Modelling:

Réf

-
ABG-116294

Sujet de Thèse 25/08/2023
Contrat doctoral
Université Gustave Eiffel
Lieu de travail
Bron
Auvergne-RhôneAlpes
France
Intitulé du sujet
PhD. in Transportation Systems Analysis and Modelling
Champs scientifiques
Sciences de l'ingénieur
Informatique
Mathématiques
Mots clés computer science, transportation, data analysis, machine learning, Simulation, Multimodal Traffic
Description du sujet:

Title:
Investigating the relations between transportation systems designs and performances

English Resume:

This PhD proposal is part of a large research project involving four research institutions (IFPEN, ENPC, ENTPE, and Univ Eiffel). The FORBAC project aims to develop a methodology to predict the impact of mobility system decisions on environmental and socioeconomic objectives. It also aims to create decisionsupport tools to design optimal mobility systems according to several criteria. The project aims to develop a system model to analyze causal loops from new policies, technologies, and lifestyle changes. The model will identify all the subsystems' input, output, and state variables and represent their interconnections. The resulting model will include a map of interconnections, equations, and a database to quantify decisions' positive or negative effects at different levels and time scales.
This PhD aims to develop a methodological framework considering two main research directions. First, comparing (open) traffic data for multiple cities worldwide and actual network designs, the idea is to unravel relations between the network configurations and performances. The second direction resorts to microsimulation to conduct experiments in a controlled environment. As many configurations are not observable in the field, it would be valuable to complement the initial data analysis by exploring a more comprehensive range of configurations. Machine learning technics will be used to analyze both experimental and simulated data.

References:

Loder, A., Ambühl, L., Menendez, M., Axhausen, K.W., 2017. Empirics of multi-modal traffic networks-using the 3D macroscopic fundamental diagram.

Transportation Research Part C:
Emerging Technologies 82,

Paipuri, M., Barmpounakis, E., Geroliminis, N., Leclercq, L., 2021. Empirical Observations of Multi-modal Network-level Models: Insights from the pNEUMA Experiment. Transportation Research part C, 131:103300.

Leclercq, L., Chiabaut, N., Trinquier, B., 2014.

Macroscopic Fundamental Diagrams:
a Cross-Comparison of Estimation Methods. Transportation Research part B, 62:1-12.

Geroliminis, N., Daganzo, C.F., 2008. Existence of urban-scale macroscopic fundamental diagrams: Some experimental findings

Transportation Research Part B:
Methodological 42,

Mariotte, G., Paipuri, M., Leclercq., L., 2020b. Dynamics of flow merging and diverging in MFDbased systems: Validation versus microsimulation.

- _Frontiers Future in Transportation_.

1:3-1- Mariotte, G., Leclercq, L., Batista, S.F.A., Krug, J., Paipuri, M., 2020a. Calibration and validation of multi-reservoir MFD models: A case study in Lyon.
- _Transportation Research part B_.

136:
Paipuri, M., Xu, Y., Gonzalez, M.C., Leclercq, L., 2020. Estimating MFDs, Trip Lengths and Path Flow Distributions in a Multi-region Setting Using Mobile Phone Data.

Transportation Research part C, 118:

Prise de fonction:

01/10/2023
Nature du financement:
Contrat doctoral

Précisions sur le financement:

Contrat doctoral financé dans le cadre d'un projet européen
Présentation établissement et labo d'accueil:
Université Gustave Eiffel

This PhD proposal is funded by ANR (French National Research Agency) as part of the FORBAC project. Four french research institutions are involved and about 10 PhD students will be hired and will have interactions along the project.

Site web:

Intitulé du doctorat:

D.

in Civil and Computational Engineering
Pays d'obtention du doctorat:

France

Etablissement délivrant le doctorat:

Université Gustave Eiffel

Ecole doctorale:

MEGA
Other information:
Hosting Laboratory:

LICIT-ECO7 (Univ. Gustave Eiffel / ENTPE)
Doctoral school: MEGA - Université de Lyon (Civil and Network Engineering)
PhD supervisor: Prof

Ludovic Leclercq
Starting date:
fall 2023
Gross salary: 2044 € / month the first two years, 2240 € / month 31/10/2023