4 citations · 5 across the 5 of their papers we have counts for
5 papers
Simulation-Driven Vehicular Traffic Data Augmentation: Extending Sensor Coverage Through Virtual Sensing
Davide Andrea Guastella, Eladio Montero Porras, Evangelos Pournaras +1
Urban traffic management relies on sensor networks whose spatial coverage is limited by deployment costs and privacy regulations. Machine learning models trained on such sparse dat…
Simulation-Free Estimation of Traffic Flows from Sparse Count Data
Davide Guastella, Gianluca Bontempi
We propose a method for estimating time-varying traffic flow patterns from sparse aggregated vehicle counts. The method partitions the study area into spatial regions, constructs a…
Calibration of Vehicular Traffic Simulation Models by Local Optimization
Davide Andrea Guastella, Alejandro Morales-Hernàndez, Bruno Cornelis +1
Simulation is a valuable tool for traffic management experts to assist them in refining and improving transportation systems and anticipating the impact of possible changes in the…
Traffic Modeling with SUMO: a Tutorial
Davide Andrea Guastella, Eladio Montero-Porras, Alejandro Morales-Hernández +1
This paper presents a step-by-step guide to generating and simulating a traffic scenario using the open-source simulation tool SUMO. It introduces the common pipeline used to gener…
Scheduling Plans of Tasks
Davide Andrea Guastella
We present a heuristic algorithm for solving the problem of scheduling plans of tasks. The plans are ordered vectors of tasks, and tasks are basic operations carried out by resourc…