Validation of TASHA: A 24-h activity scheduling microsimulation model
The objective of this paper is to verify/validate the results of an application of the Travel
Activity Scheduler for Household Agents (TASHA) in the Greater Toronto Area (GTA) …
Activity Scheduler for Household Agents (TASHA) in the Greater Toronto Area (GTA) …
Incorporating free-floating car-sharing into an activity-based dynamic user equilibrium model: A demand-side model
Free-floating car-sharing (FFC) has recently received increasing attention due to the
flexibility in mobility services. Existing studies related to FFC mainly focus on the analysis of …
flexibility in mobility services. Existing studies related to FFC mainly focus on the analysis of …
A multiple discrete–continuous nested extreme value (MDCNEV) model: Formulation and application to non-worker activity time-use and timing behavior on weekdays
AR Pinjari, C Bhat - Transportation Research Part B: Methodological, 2010 - Elsevier
This paper develops a multiple discrete–continuous nested extreme value (MDCNEV)
model that relaxes the independently distributed (or uncorrelated) error terms assumption of …
model that relaxes the independently distributed (or uncorrelated) error terms assumption of …
An investigation of commuting trip timing and mode choice in the Greater Toronto Area: Application of a joint discrete-continuous model
KMN Habib, N Day, EJ Miller - Transportation Research Part A: Policy and …, 2009 - Elsevier
The trip timing and mode choice are two critical decisions of individual commuters mostly
define peak period traffic congestion in urban areas. Due to the increasing evidence in many …
define peak period traffic congestion in urban areas. Due to the increasing evidence in many …
Model predictive charging control of in-vehicle batteries for home energy management based on vehicle state prediction
Thanks to recent development of reciprocal communication networks and electric power
management infrastructure, an energy management system, which can automatically …
management infrastructure, an energy management system, which can automatically …
Activity identification from GPS trajectories using spatial temporal POIs' attractiveness
GPS (Globe Positioning System) trajectory data provide a new way for city travel analysis
others than traditional travel diary data. But generally raw GPS traces do not include …
others than traditional travel diary data. But generally raw GPS traces do not include …
Thirty years of fleet dynamics modelling using discrete‐choice models: What have we learned?
Anticipating fisher behaviour is necessary for successful fisheries management. Of the
different concepts that have been developed to understand individual fisher behaviour …
different concepts that have been developed to understand individual fisher behaviour …
Modeling duration choice in space–time multi-state supernetworks for individual activity-travel scheduling
F Liao - Transportation Research Part C: Emerging …, 2016 - Elsevier
Multi-state supernetworks have been advanced recently for modeling individual activity-
travel scheduling decisions. The main advantage is that multi-dimensional choice facets are …
travel scheduling decisions. The main advantage is that multi-dimensional choice facets are …
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 …
Bottleneck model revisited: An activity-based perspective
The timing of commuting trips made during morning and evening peaks has typically been
investigated using Vickrey's bottleneck model. However, in the conventional trip-based …
investigated using Vickrey's bottleneck model. However, in the conventional trip-based …