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 …
Dispatching and rescheduling tasks and their interactions with travel demand and the energy domain: Models and algorithms
M Botte, L D'Acierno - Urban Rail Transit, 2018 - Springer
The paper aims to provide an overview of the key factors to consider when performing
reliable modelling of rail services. Given our underlying belief that to build a robust …
reliable modelling of rail services. Given our underlying belief that to build a robust …
Estimation and prediction of the OD matrix in uncongested urban road network based on traffic flows using deep learning
T Pamuła, R Żochowska - Engineering Applications of Artificial Intelligence, 2023 - Elsevier
In this article, we propose a new method for OD (Origin–Destination) matrix prediction
based on traffic data using deep learning. The input values of the developed model were …
based on traffic data using deep learning. The input values of the developed model were …
Towards a generic benchmarking platform for origin–destination flows estimation/updating algorithms: Design, demonstration and validation
C Antoniou, J Barceló, M Breen, M Bullejos… - … Research Part C …, 2016 - Elsevier
Abstract Estimation/updating of Origin–Destination (OD) flows and other traffic state
parameters is a classical, widely adopted procedure in transport engineering, both in off-line …
parameters is a classical, widely adopted procedure in transport engineering, both in off-line …
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 …
Dynamic demand estimation and prediction for traffic urban networks adopting new data sources
Nowadays, new mobility information can be derived from advanced traffic surveillance
systems that collect updated traffic measurements, both in fixed locations and over specific …
systems that collect updated traffic measurements, both in fixed locations and over specific …
c-SPSA: Cluster-wise simultaneous perturbation stochastic approximation algorithm and its application to dynamic origin–destination matrix estimation
A Tympakianaki, HN Koutsopoulos… - … Research Part C …, 2015 - Elsevier
The simultaneous perturbation stochastic approximation (SPSA) algorithm has been used in
the literature for the solution of the dynamic origin–destination (OD) estimation problem. Its …
the literature for the solution of the dynamic origin–destination (OD) estimation problem. Its …
Vehicular ad-hoc networks sampling protocols for traffic monitoring and incident detection in intelligent transportation systems
Abstract Vehicular Ad-Hoc Networks (VANETs) are an emerging technology soon to be
brought to everyday life. Many Intelligent Transport Systems (ITS) services that are …
brought to everyday life. Many Intelligent Transport Systems (ITS) services that are …
Origin–destination flow estimation from link count data only
All established models in transportation engineering that estimate the numbers of trips
between origins and destinations from vehicle counts use some form of a priori knowledge …
between origins and destinations from vehicle counts use some form of a priori knowledge …
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 …