Penalization and augmented Lagrangian for O-D demand matrix estimation from transit segment counts-Reference-Cited by-同舟云学术

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Penalization and augmented Lagrangian for O-D demand matrix estimation from transit segment counts

Published:2018-11-16 Issue:2 Volume:15 Page:915-943
ISSN:2324-9935
Container-title:Transportmetrica A: Transport Science
language:en
Short-container-title:Transportmetrica A: Transport Science

Author:

Chávez Hernández María Victoria¹,Juárez Valencia Lorenzo Héctor¹,Ríos Solís Yasmín Águeda²³

Affiliation:

1. Mathematics Department, Universidad Autónoma Metropolitana Unidad Iztapalapa, Mexico City, Mexico

2. Systems Engineering, Universidad Autónoma de Nuevo León, San Nicolás de los Garza, NL, Mexico

3. Laboratoire d'Informatique de Paris Nord, Université, Paris 13, France

Funder

CONACYT

Red de Matemáticas y Desarrollo

Publisher

Informa UK Limited

Subject

General Engineering,Transportation

Link

https://www.tandfonline.com/doi/pdf/10.1080/23249935.2018.1546780

Reference46 articles.

1. Validating and improving public transport origin–destination estimation algorithm using smart card fare data

2. Towards a generic benchmarking platform for origin–destination flows estimation/updating algorithms: Design, demonstration and validation

3. Estimation and Prediction of Time-Dependent Origin-Destination Flows with a Stochastic Mapping to Path Flows and Link Flows

4. A Dual-Ascent Procedure for Large-Scale Uncapacitated Network Design

5. The estimation of origin-destination matrices by constrained generalised least squares

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1. On mobility trends analysis of COVID-19 dissemination in Mexico City;PLOS ONE;2022

2. On mobility trends analysis of COVID–19 dissemination in Mexico City;PLOS ONE;2022-02-10

3. Travel Demand Estimation in Urban Road Networks as Inverse Traffic Assignment Problem;Transport and Telecommunication Journal;2021-06-01

4. Travel Demand Estimation in a Multi-subnet Urban Road Network;Lecture Notes in Computer Science;2021

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