Pougala, Janody;
Hillel, Tim;
Bierlaire, Michel;
(2023)
From one-day to multiday activity scheduling: Extending the OASIS framework.
In:
Proceedings of the 23rd Swiss Transport Research Conference (STRC 2023).
Swiss Transport Research Conference: Ascona, Switzerland.
Preview |
Text
Pougala_EtAl.pdf - Submitted Version Download (3MB) | Preview |
Abstract
Applications of activity-based models for the estimation of transport demand have demonstrated to achieve greater behavioural realism than traditional trip-based models. However, state-of-the art models focus on single-day schedules as focal points to their estimations, thus ignoring fundamental dynamics that explain individual behaviour over longer periods of time. Several authors have highlighted the importance of multiday analyses in activity-travel contexts, which are still lacking in many state-of-the-art framework. In this paper, we present an extension of the OASIS framework, an integrated model for the simulation of single day schedules, to include intrapersonal interactions influencing longer term decisions. We formulate the multiday problem as a multiobjective optimisation problem where each day d is associated with a utility Ud. We consider an activity-based set up where individuals maximise the total utility of their schedules over multiple days (e.g. week). We discuss implications and requirements of this formulation, and illustrate the methodology with chosen examples.
Type: | Proceedings paper |
---|---|
Title: | From one-day to multiday activity scheduling: Extending the OASIS framework |
Event: | 23rd Swiss Transport Research Conference (STRC 2023) |
Location: | Ascona, Switzerland |
Dates: | 10 May 2023 - 12 May 2023 |
Open access status: | An open access version is available from UCL Discovery |
Publisher version: | https://www.strc.ch/2023/Pougala_EtAl.pdf |
Language: | English |
Additional information: | This version is the version of record. For information on re-use, please refer to the publisher’s terms and conditions. |
Keywords: | activity-based modelling, scheduling, multiday, transport demand |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Civil, Environ and Geomatic Eng |
URI: | https://discovery-pp.ucl.ac.uk/id/eprint/10174111 |
Archive Staff Only
![]() |
View Item |