Nicolas Martin visits Imura Laboratory at Tokyo University of Technology from June 20th to August 20th in the frame of the JSPS summer program . Within this collaboration, we aim to integrate controllability and/or observability notions in the network reduction problem in which Nicolas is concerned. Before the visit, he presented his poster to the other students of the program.
On March, 8th 2018, at 11:00 AM, in the B208 room, Karl Henrik Johansson presented a talk untitled “Control of vehicle platoons and their influence on traffic”.
Road goods transportation is mainly done by individual long-haulage trucks with no real-time coordination or global optimization. In this talk, we will discuss how to create a networked control system architecture with an integrated logistic system coordinating fleets of trucks traveling together in vehicle platoons. From the reduced air drag, platooning trucks traveling close together can save more than 10% of their fuel consumption. We will discuss new results on how to safely and efficiently control vehicle platoons despite influence of road topology variations and traffic. We also study how automatically controlled platoons effect traffic congestion and how the congestion depends on the fraction of platooned vehicles, intra-platoon spacing and other characteristics. Experiments done on European highways will illustrate system performance and safety requirements. The presentation is mainly based on joint work with collaborators at KTH, MIT, and Scania.
Stephane Mollier and Maria-Laura Delle Monache were in January at the Transportation Research Board (TRB) 97th Annual meeting in Washington.
The congress hold from 7/01/2018 to 13/01/2018. This event covers all fields of research related to the domain of Transport. The presentations are divided in Lecture sessions, Workshops and Poster Presentations.
Andrea Tosin has presented a talk on “Control strategies for road risk mitigation in kinetic traffic modelling”, at the Gipsa Lab.
He has presented a Boltzmann-type kinetic approach to the modelling of road traffic, which includes control strategies at the level of microscopic binary interactions aimed at the mitigation of speed-dependent road risk factors. Such a description is meant to mimic a system of driver-assist vehicles, which by responding locally to the actions of their drivers can impact on the large-scale traffic dynamics, including those related to the collective road risk and safety.