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Journal ArticleDOI

Dynamic user equilibrium model for combined activity-travel choices using activity-travel supernetwork representation

TLDR
In this article, the authors jointly modeled activity location, time of participation, duration, and route choice decisions in a single unified dynamic framework referred to as Activity-Travel Networks (ATNs), where virtual links representing activity choices are added to augment the travel network to represent additional choice dimensions.
Abstract
Integrated urban transportation models have several benefits over sequential models including consistent solutions, quicker convergence, and more realistic representation of behavior. Static models have been integrated using the concept of Supernetworks. However integrated dynamic transport models are less common. In this paper, activity location, time of participation, duration, and route choice decisions are jointly modeled in a single unified dynamic framework referred to as Activity-Travel Networks (ATNs). ATNs is a type of Supernetwork where virtual links representing activity choices are added to augment the travel network to represent additional choice dimensions. Each route in the augmented network represents a set of travel and activity arcs. Therefore, choosing a route is analogous to choosing an activity location, duration, time of participation, and travel route. A cell-based transmission model (CTM) is embedded to capture the traffic flow dynamics. The dynamic user equilibrium (DUE) behavior requires that all used routes (activity-travel sequences) provide equal and greater utility compared to unused routes. An equivalent variational inequality problem is obtained. A solution method based on route-swapping algorithm is tested on a hypothetical network under different demand levels and parameter assumptions.

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Citations
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Journal ArticleDOI

Influence of social networks on latent choice of electric cars : a mixed logit specification using experimental design data

TL;DR: In this paper, a stated choice experiment was conducted to investigate the effects of vehicle attributes, contextual and social network attributes on the latent demand for electric cars, and the results indicated substantive differences between these two models in terms of the shape of utility curves.
Journal ArticleDOI

Inverse optimization with endogenous arrival time constraints to calibrate the household activity pattern problem

TL;DR: In this paper, an inverse problem is formulated as a mixed integer linear programming problem such that coefficients of the objectives are jointly estimated along with the goal arrival times to the activities, and a unique invariant common prior is used to regularize the estimation method.
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Multiclass traffic assignment model for mixed traffic flow of human-driven vehicles and connected and autonomous vehicles

TL;DR: A multiclass traffic assignment model, where HDV users and CAV users follow different route choice principles, characterized by the cross-nested logit (CNL) model and user equilibrium (UE) model, respectively is proposed, which can assist transportation decision-makers to design effective planning and operational strategies to leverage the advantages of CAVs and manage traffic congestion under mixed traffic flows.
Journal ArticleDOI

Incorporating free-floating car-sharing into an activity-based dynamic user equilibrium model: A demand-side model

TL;DR: A tolerance-based dynamic user equilibrium model of activity-travel scheduling that formulates free-floating SC as an alternative transport mode for conducting daily activities is proposed that embeds the choice of SC into daily trip chains by extending the state-of-the-art multi-state supernetwork representation.
Journal ArticleDOI

An activity-based approach for scheduling multimodal transit services

TL;DR: In this article, the authors proposed a new activity-based transit assignment model for investigating the scheduling (or timetabling) problem of transit services in multi-modal transit networks, which can be used to generate the short-term and long-term timetables of multimodal transit lines for transit operations and service planning purposes.
References
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Journal ArticleDOI

The cell transmission model: a dynamic representation of highway traffic consistent with the hydrodynamic theory

TL;DR: In this paper, a simple representation of traffic on a highway with a single entrance and exit is presented, which can be used to predict traffic's evolution over time and space, including transient phenomena such as the building, propagation, and dissipation of queues.
Journal ArticleDOI

The cell transmission model, part ii: network traffic

TL;DR: This article shows how the evolution of multi-commodity traffic flows over complex networks can be predicted over time, based on a simple macroscopic computer representation of traffic flow that is consistent with the kinematic wave theory under all traffic conditions.
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