SIALAC Benchmark: On the design of adaptive algorithms for traffic lights problems

Florian Leprêtre (1) , Cyril Fonlupt (1) , Sébastien Verel (1) , Virginie Marion (1)

1 LISIC - Laboratoire d'Informatique Signal et Image de la Côte d'Opale

Optimizing traffic lights in road intersections is a mandatory step to achieve sustainable mobility and efficient public transportation in modern cities. Several mono or multi-objective optimization methods exist to find the best traffic signals settings, such as evolutionary algorithms, fuzzy logic algorithms, or even particle swarm optimizations. However, they are generally dedicated to very specific traffic configurations. In this paper, we introduce the SIALAC benchmark bringing together about 24 real-world based study cases, and investigate fitness landscapes structure of these problem instances.

Domaines: Informatique [cs]

Florian Leprêtre, Cyril Fonlupt, Sébastien Verel, Virginie Marion. SIALAC Benchmark: On the design of adaptive algorithms for traffic lights problems. GECCO 2018, Jul 2018, Kyoto, Japan. ACM Digital Library, pp.288-289, 2018, ⟨10.1145/3205651.3205776⟩. ⟨hal-01767696⟩