A random-utility-consistent machine learning method to estimate agents' joint activity scheduling choice from a ubiquitous data set
We propose an agent-based mixed-logit model (AMXL) that is estimated with inverse
optimization (IO) estimation, an agent-level machine learning method theoretically …
optimization (IO) estimation, an agent-level machine learning method theoretically …
[HTML][HTML] OASIS: Optimisation-based activity scheduling with integrated simultaneous choice dimensions
Activity-based models offer the potential of a far deeper understanding of daily mobility
behaviour than trip-based models. However, activity-based models used both in research …
behaviour than trip-based models. However, activity-based models used both in research …
[HTML][HTML] Simulating intra-household interactions for in-and out-of-home activity scheduling
N Rezvany, M Bierlaire, T Hillel - Transportation Research Part C …, 2023 - Elsevier
Various interactions, time arrangements, and constraints exist for individuals scheduling
their day as a member of a household, which affect their in-home as well as out-of-home …
their day as a member of a household, which affect their in-home as well as out-of-home …
[PDF][PDF] Parameter estimation for activity-based models
Activity-based models (ABM) have seen a significant increase in research focus in the past
decade. Based on the fundamental assumption that travel demand is derived from the need …
decade. Based on the fundamental assumption that travel demand is derived from the need …
Deconstruction of Commuters' Activity Space and Social Exclusion under Anchor Point Theory: A Case Study of Kunming, China
H Zheng, B He, Y Liu, X Li - Transportation Research Record, 2023 - journals.sagepub.com
Activity space directly reflects residents' utilization of urban space and their quality of life.
However, the existing activity space measurement methods do not consider the differences …
However, the existing activity space measurement methods do not consider the differences …
[PDF][PDF] Resolving Temporal Scheduling Conflicts in Activity-Based Modelling
This paper presents a novel activity-based demand model that combines an optimisation
framework for continuous temporal scheduling decisions (ie activity timings and durations) …
framework for continuous temporal scheduling decisions (ie activity timings and durations) …
[PDF][PDF] Intra-household interactions in ABMs: Household-level choice set generation
N Rezvany, T Hillel, M Bierlaire - 2nd EPFL Symposium on …, 2024 - infoscience.epfl.ch
Intra-household interactions in ABMs: Household-level choice set generation Page 1 Intra-household
interactions in ABMs: Household-level choice set generation Negar Rezvany Tim Hillel Michel …
interactions in ABMs: Household-level choice set generation Negar Rezvany Tim Hillel Michel …
[PDF][PDF] Initial comparisons between Multiple Discrete-Continuous Extreme Value (MDCEV) model and Optimization-based Activity Scheduling Integrating …
In activity-based travel demand modeling, daily scheduling process is a critical module
which can help researchers understand how travel demand is generated from a micro …
which can help researchers understand how travel demand is generated from a micro …
[PDF][PDF] A random-utility-consistent machine learning method to estimate agents' joint activity scheduling behavior from ubiquitous data
X Ren, JYJ Chow - 2022 - tristan2022.org
The scheduling of daily activities is a complicated process that covers multiple choice
dimensions, including which activities to perform, as well as the timings, locations, durations …
dimensions, including which activities to perform, as well as the timings, locations, durations …
Parameter estimation for activity-based models
TH Janody Pougala, M Bierlaire - strc.ch
Activity-based models (ABM) have seen a significant increase in research focus in the past
decade. Based on the fundamental assumption that travel demand is derived from the need …
decade. Based on the fundamental assumption that travel demand is derived from the need …