Acumes team is developing the following software:
MovingBottleneck Matlab library
MovingBottleneck is an object oriented Matlab code for solving numerically a system coupling a first order traffic model and ODEs describing moving bottleneck trajectories in one space dimension, based on original ideas developed in [C. Chalons, M. L. Delle Monache, P. Goatin. A conservative scheme for non-classical solutions to a strongly coupled PDE-ODE problem. Interfaces and Free Boundaries : Mathematical Analysis, Computation and Applications, 2017, 19 (4), pp.553-570]. In particular, we use Godunov scheme to solve the PDE, with a specific flux correction at the moving bottleneck positions consisting in a conservative reconstruction of the jump discontinuity.
The code also allows for Model Predictive Control implementation. It has been used to produce results published in:
C. Daini, M. L. Delle Monache, P. Goatin, A. Ferrara. Traffic Control via Fleets of Connected and Automated Vehicles. IEEE Transactions on Intelligent Transportation Systems, 2024, pp.1.
See the code repository.
RoadNetwork python library
RoadNetwork is an object oriented python library dedicated to microscopic simulation of road traffic on networks … more details to come soon (code repository).
(left) The network (center) cars positions (right) cars density
IGLOO Suite
IGLOO is a software suite for isogeometric simulations, relying on a NURBS-based Discontinuous-Galerkin method, towards a seamless CAD-analysis coupling.
It is licensed under the GNU General Public License v3 (code repository).
Igloo Suite
Tram-Opt platform
Tram-Opt is a prototype platform devoted to real-life testing and deployment of a novel traffic control Decision Support System (DSS) for road traffic management, including variable speed limits, ramp-metering and re-routing policies. This DSS is intended for public and private traffic managers to increase freeway network performances (e.g. congestion and pollution reduction)
Tram-Opt platform
MGDA Web Interface
This web portal allows online testing of the Multiple Gradient Descent Algorithm (MGDA), that is aimed at solving multi-objective optimization problems using directional derivative information. See http://mgda.inria.fr
MGDA web interface
