A state‐of‐the‐art review of the sensor location, flow observability, estimation, and prediction problems in traffic networks
A state‐of‐the‐art review of flow observability, estimation, and prediction problems in traffic
networks is performed. Since mathematical optimization provides a general framework for all …
networks is performed. Since mathematical optimization provides a general framework for all …
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 …
flow data. Typically, such information is gathered using traffic sensors, which have two basic …
Attention-based Conv-LSTM and Bi-LSTM networks for large-scale traffic speed prediction
X Hu, T Liu, X Hao, C Lin - The Journal of Supercomputing, 2022 - Springer
Timely and accurate traffic speed prediction has gained increasing importance for urban
traffic management and helping one to make advisable travel decision. However, the …
traffic management and helping one to make advisable travel decision. However, the …
Updating origin–destination matrices with aggregated data of GPS traces
The practice of estimating origin–destination (OD) demand usually requires large-scale
travel surveys. To reduce the cost and time spent on surveys, individual trajectory data …
travel surveys. To reduce the cost and time spent on surveys, individual trajectory data …
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 …
Signalized arterial origin-destination flow estimation using flawed vehicle trajectories: A self-supervised learning approach without ground truth
For alleviating arterial congestion, most control strategies provide progression for through
and turning traffic. A prerequisite input is the arterial origin–destination (OD) flow pattern …
and turning traffic. A prerequisite input is the arterial origin–destination (OD) flow pattern …
Exploring strengths and weaknesses of mobility inference from mobile phone data vs. travel surveys
N Caceres, LM Romero, FG Benitez - … A: Transport Science, 2020 - Taylor & Francis
Origin–destination (OD) matrices serve as a basis for travel demand modelling. Traditionally,
they are derived from travel surveys that collect detailed trip information but with several …
they are derived from travel surveys that collect detailed trip information but with several …
A factorization scheme for observability analysis in transportation networks
Traffic flow data are a significant component of most intelligent transportation systems (ITS).
Complete traffic flow data are required for most ITS applications, but providing traffic sensors …
Complete traffic flow data are required for most ITS applications, but providing traffic sensors …
Spatial-temporal graph convolutional networks for traffic flow prediction considering multiple traffic parameters
Z Su, T Liu, X Hao, X Hu - The Journal of Supercomputing, 2023 - Springer
Timely and accurate large-scale traffic prediction has gained increasing importance for traffic
management. However, it is a challenging task due to the high nonlinearity of traffic flow and …
management. However, it is a challenging task due to the high nonlinearity of traffic flow and …
Route flow estimation based on the fusion of probe vehicle trajectory and automated vehicle identification data
Accurate estimation of route flow is crucial to traffic control optimization. Existing route flow
estimation models are typically built upon strong assumptions on traveler route choice …
estimation models are typically built upon strong assumptions on traveler route choice …