Service policy optimization for urban public transport networks: mobility constraints during health emergency of pandemic cycles

Ronald Martinod (1, 2) , Leonel F Castañeda (1) , Olivier Bistorin (3, 2) , Nidhal Rezg (2)

1 EAFIT - EAFIT University
2 LGIPM - Laboratoire de Génie Informatique, de Production et de Maintenance
3 ICN Business School

This work presents an approach to model the behaviour of urban public transport networks for optimizing the service policy, which includes the effect of mobility constraints on health emergency for pandemic cycles. During health emergencies, local governments strongly use two regulatory policies for contain a disease spreading: (i) social distancing and (ii) restriction of social interaction; these regulatory policies thoroughly affect the urban mobility. We propose the optimization of a stochastic discrete-event model based on a passenger demand analysis by means: (i) a numeric model of a multimodal network considering interdependencies and asymmetries of passengers; (ii) an integration of the regulatory policies for health emergency; and (iii) a process for optimizing the passengers waiting time cost. This work is applied to an actual metropolitan transport network comprised of metro, tramway, and ropeway lines.

Mots clés: Optimization process; public transport network; system simulation; transportation system; urban system

Domaines: Automatique / Robotique; Mécanique [physics.med-ph]

Ronald Martinod, Leonel F Castañeda, Olivier Bistorin, Nidhal Rezg. Service policy optimization for urban public transport networks: mobility constraints during health emergency of pandemic cycles. 13ème CONFERENCE INTERNATIONALE DE MODELISATION, OPTIMISATION ET SIMULATION (MOSIM2020), 12-14 Nov 2020, AGADIR, Maroc, Nov 2020, AGADIR (virtual), Morocco. ⟨hal-03193915⟩