Traffic sensor location problem: Three decades of research
M Owais - Expert Systems with Applications, 2022 - Elsevier
Traffic flow data is a decisive element in transportation planning and traffic management.
Over time, traffic sensors have been recognized as sources of such data. Despite their …
Over time, traffic sensors have been recognized as sources of such data. Despite their …
On the new era of urban traffic monitoring with massive drone data: The pNEUMA large-scale field experiment
E Barmpounakis, N Geroliminis - Transportation research part C: emerging …, 2020 - Elsevier
The new era of sharing information and “big data” has raised our expectations to make
mobility more predictable and controllable through a better utilization of data and existing …
mobility more predictable and controllable through a better utilization of data and existing …
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 …
[HTML][HTML] Residual neural networks for origin–destination trip matrix estimation from traffic sensor information
Traffic management and control applications require comprehensive knowledge of traffic
flow data. Typically, such information is gathered using traffic sensors, which have two basic …
flow data. Typically, such information is gathered using traffic sensors, which have two basic …
Predicting origin-destination flow via multi-perspective graph convolutional network
Predicting Origin-Destination (OD) flow is a crucial problem for intelligent transportation.
However, it is extremely challenging because of three reasons: first, correlations exist …
However, it is extremely challenging because of three reasons: first, correlations exist …
Simulation-based dynamic origin–destination matrix estimation on freeways: A Bayesian optimization approach
This study focuses on dynamic origin–destination demand estimation problem on freeway
networks. Existing studies on this problem rely on high-coverage of traffic measurements …
networks. Existing studies on this problem rely on high-coverage of traffic measurements …
Hierarchical travel demand estimation using multiple data sources: A forward and backward propagation algorithmic framework on a layered computational graph
Aiming to develop a theoretically consistent framework to estimate travel demand using
multiple data sources, this paper first proposes a multi-layered Hierarchical Flow Network …
multiple data sources, this paper first proposes a multi-layered Hierarchical Flow Network …
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 …
Exact and heuristics algorithms for screen line problem in large size networks: shortest path-based column generation approach
In this study, we present exact and heuristics algorithms for a traffic sensors location problem
called the screen line problem. It is a problem of how to locate traffic sensors on a …
called the screen line problem. It is a problem of how to locate traffic sensors on a …
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 …