A bilevel model for public transport demand estimation

Neila Bhouri (1) , Jean Patrick Lebacque (1) , Pablo A Lotito (2) , Victoria M Orlando (3)

1 COSYS-GRETTIA - Génie des Réseaux de Transport Terrestres et Informatique Avancée
2 PLADEMA - PLADEMA
3 CONICET - Consejo Nacional de Investigaciones Científicas y Técnicas [Buenos Aires]

For the case of public transport, we consider the problem of demand estimation. Given an origin-destination matrix representing the public transport demand, the distribution of flow among different lines can be obtained assuming that it corresponds to a certain equilibrium characterized by an optimization problem. The knowledge of that matrix is expensive and sometimes unaffordable in practice. In this work, we explore its estimation through the numerical solution of a bilevel optimization problem.

Mots clés: PUBLIC TRANSPORT DEMAND

Mots clés: AFFECTATION DU TRAFIC; CONFERENCE; CHYPRE; TRANSPORT EN COMMUN; AFFECTATION (TRAFIC); DEMANDE; ORIGINE DESTINATION

Domaines: Autre

Neila Bhouri, Jean Patrick Lebacque, Pablo A Lotito, Victoria M Orlando. A bilevel model for public transport demand estimation. Transportation Research Procedia, 2021, 52, pp 669-676. ⟨10.1016/j.trpro.2021.01.080⟩. ⟨hal-03107326v2⟩