Answer Set Programming (ASP) and the mixed discrete-continuos variant of the Planning Domain Definition Language (PDDL+) are well-known knowledge representation and reasoning methodologies to solve configuration, scheduling and planning problems arising in real-life applications. In this paper, we focus on the recent problems modeled and solved with ASP and PDDL+ in the context of urban traffic distribution and control, including Traffic Signal Optimization and the optimization of pre-computed routes of Connected Autonomous Vehicles in urban networks.
ASP and PDDL+ Applications in Urban Traffic Distribution and Control
Vallati M.;Dodaro C.;Fiorentino S.;Maratea M.;
2025-01-01
Abstract
Answer Set Programming (ASP) and the mixed discrete-continuos variant of the Planning Domain Definition Language (PDDL+) are well-known knowledge representation and reasoning methodologies to solve configuration, scheduling and planning problems arising in real-life applications. In this paper, we focus on the recent problems modeled and solved with ASP and PDDL+ in the context of urban traffic distribution and control, including Traffic Signal Optimization and the optimization of pre-computed routes of Connected Autonomous Vehicles in urban networks.File in questo prodotto:
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