Où docteurs et entreprises se rencontrent
Menu
Connexion

Vous avez déjà un compte ?

Nouvel utilisateur ?

15 months Post-doc position in data analysis and optimization

ABG-93486 Emploi Confirmé
08/09/2020 CDD 15 Mois > 25 et < 35 K€ brut annuel
Univ. Gustave Eiffel
Bron - Auvergne-Rhône-Alpes - France
Informatique
  • Mathématiques
  • Sciences de l’ingénieur
Data analysis, Behavorial studies, optimization, transportation
01/12/2020
Enseignement et recherche

Employeur

This position is funded by an ERC Proof of Concept Grant hold by Prof. L. Leclercq (project MAGnUM+). It will provide a stimulating working environment with lots of international collaborations. The MAGnUM team is currently composed of two permanent researchers, two Ph.D. students, two post-docs, and one research engineer working on close and connected topics.

Poste et missions

The MAGnUM project aims to develop new multiscale and multimodal modeling approaches for urban transportation systems. During this project, the team has designed a novel urban traffic control system on a large scale based on optimal route guidance. It has been tested for now only by simulation. Urban traffic management at large-scale is very challenging but may lead to significant travel time savings by better- distributing drivers among the network. Existing navigation apps or routing systems provide the shortest-path in time to users resulting in the network user equilibrium. However, traffic engineers know that total travel times may be reduced by 10 to 30% if user routes comply with the system optimum. There is no actual traffic management system that can achieve such a goal because of computational (determining the optimal route for all current users in NP-hard), privacy (optimality requires that all users share their destination with a centralized controller) and compliance issues (users may not follow routing instructions).

The optimal route guidance system we have designed within the MAGnUM project can quickly solve the two first issues. A centralized controller produces real-time avoidance maps, i.e., the definition of how many users should avoid each subsection of the road network to alleviate congestion in this area. Such maps are derived by monitoring of overall traffic conditions. Each user transforms this information into individual route guidance through its navigation system. This privacy is guaranteed by design as the users share no information with the controller but only benefit from avoidance maps.

The PoC will not only develop the prototype but also implement the system in the field to run experiments over three months. The experiments aim to (i) test the proper system functioning, (ii) derive optimal controller settings in particular concerning the network partitioning, and (iii) investigate users' reactions to the guidance and determine the natural compliance rate. The post-doc fellow's role is to participate in the experimental design, recruit the participants, participate in the experiments, and analyze the data related to user behaviors when using the new route guidance system. She will also specify some algorithms for the prototype (the development will be outsourced to an external company) related to the shortest-path problem considering regional banning. She will be responsible for scripting tests considering multiple random OD pairs in Lyon city to ensure that the path-finder algorithms provide reasonable solutions compared to other existing services and considering existing traffic regulations. Finally, she will produce surveys, train the participants for the experimentations, and synthesize all the pilot results.

Mobilité géographique :

Internationale

Prise de fonction :

01/12/2020

Profil

We are looking for highly talented and motivated Ph.D. graduates in data analysis, behavioral studies, and computer sciences. Advanced data analysis skills are mandatory as the primary objective is to analyze trajectory databases to understand how participants react to the optimal route guidance the system is providing. Excellent English skills (speaking and writing) are required, and strong analytical and project management skills. As the works are part of a pilot that includes human participants and requires frequent contact with the consultant company that will develop the system, the candidate must show teamwork skills. Good French-speaking is essential to communicate with the pilot participants.

 

Hosting Laboratory: LICIT (Univ. Eiffel / ENTPE), licit.ifsttar.fr, www.univ-gustave-eiffel.fr

The MAGnUM Project: magnum.ifsttar.fr @ERC_MAGnUM

Supervision: Prof. Ludovic Leclercq

Location: Lyon, France

Starting date: 01/12/2020

Gross salary: 2699€ / month

Duration: 15 months

ERC Grant Number: 963840

Partager via
Postuler
Fermer

Vous avez déjà un compte ?

Nouvel utilisateur ?

Besoin d'informations ?

Vous souhaitez recevoir une ou plusieurs lettres d’information de l’ABG. Chaque mois des actualités, des offres, des outils, un agenda…

item1
Ils nous font confiance