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 …

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 …

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 …

[HTML][HTML] Residual neural networks for origin–destination trip matrix estimation from traffic sensor information

A Alshehri, M Owais, J Gyani, MH Aljarbou, S Alsulamy - Sustainability, 2023 - mdpi.com
Traffic management and control applications require comprehensive knowledge of traffic
flow data. Typically, such information is gathered using traffic sensors, which have two basic …

Predicting origin-destination flow via multi-perspective graph convolutional network

H Shi, Q Yao, Q Guo, Y Li, L Zhang… - 2020 IEEE 36th …, 2020 - ieeexplore.ieee.org
Predicting Origin-Destination (OD) flow is a crucial problem for intelligent transportation.
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

J Huo, C Liu, J Chen, Q Meng, J Wang, Z Liu - Transportation Research Part …, 2023 - Elsevier
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 …

Hierarchical travel demand estimation using multiple data sources: A forward and backward propagation algorithmic framework on a layered computational graph

X Wu, J Guo, K Xian, X Zhou - Transportation Research Part C: Emerging …, 2018 - Elsevier
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 …

A data driven method for OD matrix estimation

P Krishnakumari, H Van Lint, T Djukic, O Cats - … Research Part C: Emerging …, 2020 - Elsevier
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 …

Exact and heuristics algorithms for screen line problem in large size networks: shortest path-based column generation approach

M Owais, AI Shahin - IEEE Transactions on Intelligent …, 2022 - ieeexplore.ieee.org
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 …

Dynamic demand estimation and prediction for traffic urban networks adopting new data sources

S Carrese, E Cipriani, L Mannini, M Nigro - Transportation Research Part C …, 2017 - Elsevier
Nowadays, new mobility information can be derived from advanced traffic surveillance
systems that collect updated traffic measurements, both in fixed locations and over specific …