Posts tagged "transport"

Context Presentation

The theme addressed in this PhD concerns autonomous and connected vehicles. It is essential, after making a vehicle more reliable, to study how several connected autonomous vehicles will be able to interact to maximize the behavior of the collective (fluidity, fuel consumption and pollution). The Society of American Automotive Engineers (SAE International) has defined 5 levels of autonomy: level 1, in which the driver performs all maneuvers, at level 5, in which the vehicle is completely autonomous and can do without driver and / or passenger.This PhD concerns both level 4 autonomous vehicles in which the vehicle drives and the supervised driver can regain control of driving, as well as level 5 vehicles (total autonomy of the vehicle).

In this PhD, the aim is to study how each vehicle communicates with its neighboring vehicles and how it behaves / reacts in response to the information provided by its neighborhood. A lock consists in determining the information that is relevant to communicate among all the data recovered from the numerous sensors scattered in the vehicle and effectors. 

Keywords

Intelligent Transport System, Connected and Autonomous Vehicles, Multi-Agent System

Scientific goal

•    Learn how to use any data and which ones are the best to communicate

Contact

guilhem.marcillaud@irit.fr

Context Presentation

The ANR SWITCH project is focused on studying the impact of smart city new transport modes on infrastructure. Although the new transports (electric, autonomous vehicles, transport on demand, bicycles, etc.) can facilitate intra-urban mobility and improve the quality of life, they can also create new constraints for which cities must be prepared. Then urban planners need tools to evaluate the impact of urban policies in terms of mobility and infrastructure to explore “What if? " scenarios.

These new simulation tools require mobility simulations on a city scale and on different time scales. As part of the meta-model design for the Smart City simulation, this internship is about developing an urban mobility model allowing to couple a flow-based circulation model with a multi-agent model allowing fine modeling of driver behavior. The internship must carry out a proof of concept on the Gama platform of this type of system on the scale of an agglomeration.

Keywords

Traffic Simulation, GAMA, Multi-Agent Simulation, Smart City, Transport

Scientific goal

•    To validate a mesoscopic traffic multi-agent model considering various transports facilities

Contacts

loic.sadou@gmail.com, nicolas.verstaevel@irit.fr, frederic.amblard@ut-capitole.fr