Manon Prédhumeau

Modelling and simulation of the mobility needs of the ageing population in the UK and Canada for on demand-responsive autonomous transportation

Research fellowship - 2022-2024

University of Leeds - School of Geography - Leeds Institute for Data Analytics

With E. Manley

By 2030, 11.7% of the world's population is expected to be aged 65 or over and population ageing is particularly strong in Europe and North America. These demographic trends pose challenges to existing mobility infrastructure and services, which play a crucial role in enabling older residents to maintain a high level of independence and well-being. The RAIM (Responsible Automation for Inclusive Mobility) project is a British-Canadian collaboration to address how on-demand autonomous vehicle systems can meet the diverse needs of older populations.

As part of this project, my work contributed to the modelling and simulation of the mobility needs of the ageing population in the UK and Canada, in order to identify the demand for door-to-door transport services.

agent-based simulation, MATSim, Python

Modelling and simulation of realistic pedestrian behaviour in a shared space with an autonomous vehicle

PhD thesis - 2018-2021

Grenoble Alps University - Grenoble Informatics Laboratory, STeamer & Inria, Chroma

With J. Dugdale, A. Spalanzani, L. Mancheva

While autonomous vehicles (AVs) function well on highways and roads i.e. in structured and fairly predictable environments, they are not ready to navigate in shared spaces where segregation between pedestrians and vehicles is minimized. Therefore, AV navigation in dynamic and human populated environments like shared spaces should be addressed. The goal of the HIANIC (Human Inspired Autonomous Navigation In Crowds) project, financed by the French National Research Agency, is to ensure safe and predictable interaction between an AV and pedestrians in shared spaces.

As part of this project, my thesis contributed to the crowd analysis by modelling and simulating pedestrian behaviours in order to give the AV knowledge of its social environment in the present and the near future. The models integrate knowledge from social sciences (proxemics, behaviorism), and use agent-based simulation and robotic functions. Read more...

agent-based simulation, Pedsim_ROS, C++, ROS, Python

SPACiSS simulator: Simulation of Pedestrians and an Autonomous Car in Shared Spaces

Defense slides: here

Smart mobility and adaptive governance

Master 2 internship - 2017

LIRIS - Multi-Agent Systems team.

With V. Deslandres, S. Fenet, S. Pageaud, L. Gervasoni

The SmartGov platform allows the implementation of multi-agent urban mobility simulations and the UrbanSprawl platform uses data from OpenStreetMap to assess urban sprawl in order to limit its negative impact on the cities sustainability. These two platforms shared a common limit: they lacked real mobility behavior data.

My internship had three goals: 1) the creation of a more realistic multi-agent model, 2) the validation of the model with real mobility data on the city of Lyon, and 3) the evaluation of theoretical urban sprawl indicators on the realistic city model.

I added developed a realistic trajectories generator from open data. I used data from traffic sensors on the city of Lyon and Household Travel Survey data to validate the simulated trajectories and evaluate the accessibility indicator. Although perfectible, the mobility behaviors generated are close to the observed ones. Read more...

urban mobility, urban sprawl, multi-agent simulation, Repast Symphony, Java, Python

Design and development of a management tool for wireless sensor networks

Master 1 internship - 2016

Irstea - UR TSCF

With G. De Sousa

The purpose of this internship was the design and the development of a management tool for wireless sensor networks deployed on farms. Each network consists of multiple wireless sensors, spread over a plot, collecting measures such as air temperature or humidity at a given frequency.

I developed a tool to facilitate the management of these wireless sensors. Part of this tool is developed in Java and allows recovering measures taken by the sensors on the field and remotely configuring them. A website with responsive web design, enables centralized management of equipment in stock or on the field, as well as consultation of collected data and remote configuration of sensors. Read more...

web management tool, wireless sensor networks, remote measures, Java, HTML, PHP, CSS, JavaScript Bootstrap, PostgreSQL

manon dot predhumeau at gmail dot com

MF205, Manufacture des tabacs