Railway Capacity Paper Named Best Application Paper Runner-Up at CP 2026
CP 2026 — 32nd International Conference on Principles and Practice of Constraint ProgrammingThe paper A Scheduling-Based Approach to Railway Capacity Estimation for Industrial Freight Junctions, by Luca Di Gaspero, Alessia Grosso, and Giovanni Longo, received the Best Application Paper Runner-Up recognition at the 32nd International Conference on Principles and Practice of Constraint Programming (CP 2026).
The work presents a scheduling-based approach to estimating railway capacity in industrial freight junctions, bringing constraint programming techniques to a complex real-world transportation problem.
CP 2026 took place in Lisbon, Portugal, from 20 to 23 July 2026 as part of the Federated Logic Conference. The paper was presented on 21 July in the Scheduling; Timetabling session.
See the official CP 2026 schedule and the announcement on LinkedIn.
Luca Di Gaspero
Associate Professor of Information Technology · Director of IOLab
Director of IOLab. He develops intelligent optimization methods and decision-support systems, from metaheuristics and hybrid algorithms to large language models.