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 …
Deep learning for integrated origin–destination estimation and traffic sensor location problems
M Owais - IEEE Transactions on Intelligent Transportation …, 2024 - ieeexplore.ieee.org
Traffic control and management applications require the full realization of traffic flow data.
Frequently, such data are acquired by traffic sensors with two issues: it is not practicable or …
Frequently, such data are acquired by traffic sensors with two issues: it is not practicable or …
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 …
Optimization of multi-type traffic sensor locations for estimation of multi-period origin-destination demands with covariance effects
The hourly traffic flows between various origin–destination (OD) pairs fluctuate by time of
day and day of the year. These multi-period OD demands are statistically correlated with one …
day and day of the year. These multi-period OD demands are statistically correlated with one …
[HTML][HTML] Sensor location model for O/D estimation: Multi-criteria meta-heuristics approach
With the progress in intelligent transportation systems, a great interest has been directed
towards traffic sensors information for flow estimation problems. Nevertheless, there is a …
towards traffic sensors information for flow estimation problems. Nevertheless, there is a …
Robust deep learning architecture for traffic flow estimation from a subset of link sensors
Traffic flow data are needed for traffic management and control applications as well as for
transportation planning issues. Such data are usually collected from traffic sensors; …
transportation planning issues. Such data are usually collected from traffic sensors; …
[HTML][HTML] Optimization of multi-type sensor locations for simultaneous estimation of origin-destination demands and link travel times with covariance effects
This paper investigates the multi-type traffic sensor location problem for simultaneous
estimation of origin-destination (OD) demands and link travel times while also considering …
estimation of origin-destination (OD) demands and link travel times while also considering …
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 …
Optimization of multi-type traffic sensor locations for network-wide link travel time estimation with consideration of their covariance
Due to the propagation of traffic congestion from upstream to downstream links and the
uncertainty of path choice behaviours, travel times between different links, particularly …
uncertainty of path choice behaviours, travel times between different links, particularly …
City-wide traffic flow estimation from a limited number of low-quality cameras
We present a new approach to lightweight intelligent transportation systems. Our approach
does not rely on traditional expensive infrastructures, but rather on advanced machine …
does not rely on traditional expensive infrastructures, but rather on advanced machine …