Activity-travel scheduling in stochastic multi-state supernetworks with spatial and temporal correlations

Jing Lyu (Corresponding author), Feixiong Liao, Soora Rasouli, Harry J.P. Timmermans

Onderzoeksoutput: Bijdrage aan tijdschriftTijdschriftartikelAcademicpeer review

3 Citaten (Scopus)
44 Downloads (Pure)


Multi-state supernetworks are capable of representing activity-travel patterns at a high level of detail and thus are a powerful tool for activity-travel scheduling (ATS) of multidimensional choice facets. To alleviate the limitations of the common deterministic network representation, travel time and activity duration uncertainty has been incorporated in multi-state supernetworks. However, the extension unrealistically assumed that all uncertain components are independent. This study suggests an approach of ATS considering spatially and temporally correlated travel times and activity durations in stochastic time-dependent (STD) multi-state supernetworks. Support points are used as a representation of the stochasticity of the STD multi-state supernetwork. ATS is formulated as a pathfinding problem subject to space–time constraints based on recursive formulations. A series of numerical experiments is implemented to demonstrate the applicability of the suggested approach.

Originele taal-2Engels
Pagina's (van-tot)1300-1324
Aantal pagina's25
TijdschriftTransportmetrica A: Transport Science
Nummer van het tijdschrift3
Vroegere onlinedatum2021
StatusGepubliceerd - 2022


Duik in de onderzoeksthema's van 'Activity-travel scheduling in stochastic multi-state supernetworks with spatial and temporal correlations'. Samen vormen ze een unieke vingerafdruk.

Citeer dit