Towards an agent-based urban transport simulation for the city of Casablanca

Ouidad Benhlima (1) , Fouad Riane (1, 2) , Jakob Puchinger (1)

1 LGI - Laboratoire Génie Industriel
2 FSTS - Faculté des Sciences et Techniques [Settat]

The urban public transport system in Casablanca, one of the major Moroccan cities, offers different alternatives. But the system is not efficient enough. Transportation options are rather frustrating, time-consuming, and sometimes risky. Many residents experience long and expensive commutes in often uncomfortable and unsafe vehicles through heavy traffic. In such a context, simulation can help to support urban mobility decision-makers in the task of shaping transportation initiatives. In this paper, we focus on improving the urban mobility system using an agent-based model. It offers the ability to capture and reproduce the mobility behavior of commuters.

Mots clés: user experience; Agent based simulation; MATSim; Agent-based model

Domaines: Système multi-agents [cs.MA]

Ouidad Benhlima, Fouad Riane, Jakob Puchinger. Towards an agent-based urban transport simulation for the city of Casablanca. 2022. ⟨hal-03173205v2⟩