Scientific dissemination
June 25, 2025
OpenMobility meetup: TrafficTwin introduction
As a direct result of the Tulipe project, the TrafficTwin tool was implemented to assist public entities during the evaluation of road deviation plans.
12-14 May, 2025
Leveraging SUMO for Traffic Twins: Experiences in Urban Traffic Processing
The project aims to address current challenges in modern cities by integrating
diverse traffic data sources into a unified system for analysis and decision-making. The simulation of traffic flows using SUMO can be used to evaluate policy impacts, supporting decision-making for sustainable traffic management.
Berlin, 12-14 May, 2025
TrafficTwin: A Simulation Tool to Assess the Impact of Deviation Plans on Disruptive Events of Urban Traffic
A novel tool, called TrafficTwin, is proposed for assessing the impact of alternative road deviation plans on vehicular traffic. The proposed tool targets experts in traffic management to make the use of SUMO easier for defining simulation models and performing what-if analysis in case of disruptive events that cause road closures.
April 15, 2025
Digital twins: modeling reality to make better decisions (Press article)
What if we could simulate the effects of a construction site, a change in production, or an energy hazard before they even occur? This is the promise of digital twins, virtual replicas of real objects or systems capable of updating in real time using data from the field. By combining modeling, artificial intelligence, and predictive analysis, these devices open new avenues for decision-making, strategic planning, and the optimization of complex processes.
Brussels, 26 – 28 June 2024
Integration of simulation and machine learning to predict the traffic in the event of disruptions
Decision-making in intelligent transportation systems is complex due to urban traffic’s unpredictable dynamics, particularly when assessing the impact of road works on congestion. To address this, a method combining simulation using SUMO and machine learning with GNN is proposed for traffic prediction in the event of road disruptions.
Toulouse, 15 January 2024
Smart Decision Making for Cities by Traffic Simulation and Data Science
Invited seminar in IRIT lab.
Hamburg, 13 November 2023
1st ACM SIGSPATIAL International Workshop on Methods for Enriched Mobility Data: Emerging issues and Ethical perspectives EMODE 23
Traffic Simulation with Incomplete Data: the Case of Brussels.
Intelligent transport systems support decision-making to reduce traffic congestion, accidents, and pollution, but this process is complicated by the unpredictable nature of urban traffic and incomplete data from sensors. This study uses the HybridIoT technique and SUMO simulation to estimate missing data for creating traffic models, evaluating their accuracy despite varying data sparsity in Brussels.
Read more ->
Traffic prOcessing foR uRban EnvironmentS (TORRES) 