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  • Alexandre

Postdoc opening on the physics-based modelling of parking search

Workplace: Institut Lumière Matière in Villeurbanne, CNRS and Univ. Lyon 1, near Lyon (France)

Key words: parking search; agent-based modelling; statistical physics; stochastic processes; smart navigation


We are looking for a postdoctoral fellow specialised in Statistical or Computational Physics and Data Science for a 17-month project on the modelling of parking search. The postdoc will be based at Institut Lumière Matière in Villeurbanne, next to Lyon, but will work in collaboration with a transport operator in a French metropolis and with Laboratoire 3SR in Grenoble.




Context. The cruising traffic in search of a parking space represents a significant fraction of the urban traffic (figures up to 30% have been put forward [1]), contributing to congestion and pollution in city centres. To alleviate these pains, smart parking solutions have been proposed; in particular, our transport operator partner has recently released a smart navigation application that can guide motorists towards parking spaces that are likely to be vacant, with the hope to reduce cruising.In parallel, the host team has recently developed an original modelling framework to assess the parking search time, which leverages the powerful machinery of Statistical Physics and Graph Theory [2-3].


Missions. The aim is to exploit the theoretical tools to the case of the metropolis in study, further develop them. Thus, the project combines a fundamental part (namely, developing and extending a modelling framework, building on analogies with other physical systems) and an applied facet (improving the smart application and designing a rigorous tool to evaluate the environmental impact of parking policies and smart solutions). More precisely, the following steps are considered:* applying and adapting the modelling framework to the specific case of the metropolis* proposing theory-guided and/or data-driven improvements to the smart navigation application* developing an objective toolbox to assess the environmental impact of parking policies


Required skills:

* PhD in Statistical or Computational Physics, Applied Mathematics, Traffic Engineering, or a closely related field

* Strong background in Statistical Physics and/or stochastic processes on graphs

* Expertise in numerical programming and / or big data manipulation

* Proficiency in French would be an asset


To apply, please send a CV (including the contact details of three reference people) along with a cover letter to alexandre.nicolas[at]cnrs.fr and mehdi.bouzid[at]univ-grenoble-alpes.fr

(informal enquiries are welcome!)


References

[1] Shoup, D. C. (2006). Cruising for parking. Transport policy, 13(6), 479-486.

[2] Dutta, N., Charlottin, T., & Nicolas, A. (2023). Parking search in the physical world: Calculating the search time by leveraging physical and graph theoretical methods. Transportation science.

[3] Bulckaen, L., Dutta, N., & Nicolas, A. (2022, September). Parking search in urban street networks: Taming down the complexity of the search-time problem via a coarse-graining approach. In International Conference on Parallel Processing and Applied Mathematics (pp. 470-480). Cham: Springer International Publishing.

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