An interdisciplinary survey on origin-destination flows modeling: Theory and techniques
Origin-destination (OD) flow modeling is an extensively researched subject across multiple
disciplines, such as the investigation of travel demand in transportation and spatial …
disciplines, such as the investigation of travel demand in transportation and spatial …
Exploiting floating car data for time-dependent Origin–Destination matrices estimation
M Nigro, E Cipriani, A del Giudice - Journal of Intelligent …, 2018 - Taylor & Francis
The study evaluates the added value generated by estimating dynamic demand matrices by
information gathered from Floating Car Data (FCD). Firstly, adopting a large dataset of FCD …
information gathered from Floating Car Data (FCD). Firstly, adopting a large dataset of FCD …
A data driven method for OD matrix estimation
The fundamental challenge of the origin-destination (OD) matrix estimation problem is that it
is severely under-determined. In this paper we propose a new data driven OD estimation …
is severely under-determined. In this paper we propose a new data driven OD estimation …
A data driven method for OD matrix estimation
The fundamental challenge of the origin-destination (OD) matrix estimation problem is that it
is severely under-determined. In this paper we propose a new data driven OD estimation …
is severely under-determined. In this paper we propose a new data driven OD estimation …
Data driven origin–destination matrix estimation on large networks—A joint origin–destination-path-choice formulation
Y Cao, H van Lint, P Krishnakumari… - … Research Part C …, 2024 - Elsevier
This paper presents a novel approach to data-driven time-dependent origin–destination
(OD) estimation using a joint origin–destination-path choice formulation, inspired by the well …
(OD) estimation using a joint origin–destination-path choice formulation, inspired by the well …
Rail transit OD‐matrix completion via manifold regularized tensor factorisation
Urban rail transit has become an indispensable mode in major cities worldwide regarding
the advantages of large capacity, high speed, punctuality, and environmental protection …
the advantages of large capacity, high speed, punctuality, and environmental protection …
Effectiveness of the two-step dynamic demand estimation model on large networks
In this paper, the authors present a Two-Step approach that sequentially adjusts generation
and distribution values of the (dynamic) OD matrix. While the proposed methodology already …
and distribution values of the (dynamic) OD matrix. While the proposed methodology already …
Enhancing dynamic origin-destination (OD) matrix estimation for large networks through feature engineering: A comprehensive framework
S Sharma - 2024 - eprints.qut.edu.au
This thesis proposes novel algorithms for the efficient online estimation of dynamic travel
demand in large-scale urban transport networks. Dynamic travel demand refers to the …
demand in large-scale urban transport networks. Dynamic travel demand refers to the …
[PDF][PDF] Towards automated calibration of large-scale traffic simulations
Large-scale traffic simulation models are a crucial tool for simulating and evaluating different
transport solutions, especially now that our mobility ecosystems are evolving at an …
transport solutions, especially now that our mobility ecosystems are evolving at an …
A Methodology for Estimating Vehicle Route Choice from Sparse Flow Measurements in a Traffic Network
AA Kurzhanskiy - Mathematics, 2022 - mdpi.com
While traffic speed data and travel time estimates are increasingly more available from
commercial vendors, they are not sufficient for proper management and performance …
commercial vendors, they are not sufficient for proper management and performance …