ORGANISATION/COMPANYUniversité Gustave Eiffel
RESEARCH FIELDComputer science › Modelling toolsEngineering › Civil engineeringMathematics
RESEARCHER PROFILEFirst Stage Researcher (R1)
APPLICATION DEADLINE21/03/2022 17:00 - Europe/Brussels
LOCATIONFrance › Lyon
TYPE OF CONTRACTTemporary
HOURS PER WEEK35
OFFER STARTING DATE03/10/2022
EU RESEARCH FRAMEWORK PROGRAMMEH2020 / Marie Skłodowska-Curie Actions COFUND
MARIE CURIE GRANT AGREEMENT NUMBER101034248
Transportation systems are currently experiencing a fundamental transformation of their structures and organization, triggered by new technologies (self-driving cars, on-demand services, artificial intelligence) and the development of the sharing economy. In the past, travel choices usually restrict to private cars or public transportation. Now, we observe an abundance of travel options (biking, car-sharing, car-pooling, on-demand services, regular public transport). While promoting virtuous behaviors like ride-sharing, some options can also lead to increased distance-traveled because of improper management of idle vehicles or large fleet sizes. Competitions between mobility services may also harm the overall mobility and increase congestion, fuel consumption, and emissions. It is the case when ride-hailing services take users from public transportation because they offer more appealing travel options at the individual level. Finally, all mobility systems and services share the same and limited urban space, which give some leverage to local authorities to define how to shape multimodal transportation system and prioritize some mobility offers over other to reach collective goals.
The goal of this Ph.D. is to investigate how dynamic lane allocation policies can improve multimodal transportation network functioning and foster mobility options most in favor of collective optimum, i.e., reducing total travel times, fuel consumptions, and emissions. Several successful implementations of dynamic lane allocation have been developed for urban corridors, e.g., intermittent bus lanes (Chiabaut et al., 2012, 2014), or dynamic car-bus corridors (Anderson and Geroliminis, 2020) or pre-signal strategies (He et al, 2016). The idea is to allow a subset of vehicles in the dedicated bus lanes when no buses are circulating or by keeping the interactions at a minimum. Permanent lane allocation strategies are also used to favor some transportation modes, like bikes or taxis in dedicated bus lanes or high-occupancy lanes. In the future, a larger share of urban space might be dynamically segregated for travelers willing to use specific modes of transport. However, the situation is challenging in practice, when the road infrastructure capacity cannot be easily divided or when critical events may change the transportation priorities, infrastructure accessibility, or demand allocation. Some streets could be reserved, but significant effort is needed to (i) define which users have accessed to specific capacity batches to guaranty an optimal usage of the network, from a collective point of view and (ii) create connected subnetworks of dedicated roads that provides access to crucial parts of the city. It should be mentioned that dynamic lane allocation strategies can be framed in different ways like fully time-based, i.e., the capacity is allocated to only one class of vehicles at a time, or hybrid, i.e., both space and mode allowance can change with time. The connections between lane allocation and intersection control schemes should be investigated to guarantee smooth crossing for prioritized users. Actual traffic signals can commonly provide priority to transit vehicles on the main corridor but the problem becomes much more complex if they have to arbitrate between multiple users with different priority levels coming from multiple directions.
During this Ph.D., we will address the large-scale implementation of dynamic lane allocation policy considering daily demand profiles and different modes of transportation (cars, public transit, e-hailing services, and bikes). The robustness of the design will be tested considering different daily profiles mimicking the annual variations of urban loading patterns. To perform the simulations, we will resort to a new agent-based simulation framework developed in both ERC MAGnUM and METAFEW (Lamotte and Geroliminis, 2018; Mariotte and Leclercq, 2019; Paipuri and Leclercq., 2020). It permits us to consider all trips individually, whatever the transportation mode is while providing fast calculation, which is paramount for assessing the results of different lane allocation strategies and optimizing their parameters. This framework will be extended to better represent the local congestion dynamics related to the considered actual lane allocation schemes. About test cases, we can resort to realistic simulation environment (realistic demand profiles and network settings) implemented by the LICIT laboratory for the city of Lyon. Particular attention will be paid to designs fostering cooperation between complementary modes like on-demand or ride-sharing services and public transportation. For example, dynamic lane allocation could improve the accessibility of major public transportation hubs by on-demand services while not providing a competitive advantage in urban regions where public transportation is well-developed.
This PhD project will be conducted in close collaboration between Univ Eiffel / LICIT-ECO7 (L. Leclercq) and EPFL (Switzerland), LUTS laboratory (Prof. Geroliminis) For more information, contact the PhD thesis supervisor.
- 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.
- 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).
- Please refer to the Guide for Applicants available on the CLEAR-Doc website.
- 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: firstname.lastname@example.org
Web site for additional job details
REQUIRED LANGUAGESENGLISH: GoodFRENCH: Basic
- 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.
International mobility : this thesis will be in cosupervision with EPFL (Switzerland). For more information, contact the PhD thesis supervisor.
EURAXESS offer ID: 716470
The responsibility for the jobs published on this website, including the job description, lies entirely with the publishing institutions. The application is handled uniquely by the employer, who is also fully responsible for the recruitment and selection processes.
Please contact email@example.com if you wish to download all jobs in XML.