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 …
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 …
[HTML][HTML] Multistep traffic forecasting by dynamic graph convolution: Interpretations of real-time spatial correlations
Accurate and explainable short-term traffic forecasting is pivotal for making trustworthy
decisions in advanced traffic control and guidance systems. Recently, deep learning …
decisions in advanced traffic control and guidance systems. Recently, deep learning …
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 …
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 …
[HTML][HTML] Modeling the effect of sensor failure on the location of counting sensors for origin-destination (OD) estimation
The network sensor location problem (NSLP) for origin–destination (OD) estimation
identifies the optimal locations for sensors to estimate the vehicular flow of OD pairs in a …
identifies the optimal locations for sensors to estimate the vehicular flow of OD pairs in a …
[HTML][HTML] Optimization of traffic sensor location for complete link flow observability in traffic network considering sensor failure
The full link flow observability problem is to identify the minimum set of traffic sensors to be
installed in links in a road traffic network. The sensors are used to both monitor the flow of …
installed in links in a road traffic network. The sensors are used to both monitor the flow of …
Roadside LiDAR placement for cooperative traffic detection by a novel chance constrained stochastic simulation optimization approach
Abstract Light Detection and Ranging (LiDAR) plays a pivotal role in localization, thereby
meeting the imperative to accurately discern vehicle positions and road states for enhanced …
meeting the imperative to accurately discern vehicle positions and road states for enhanced …
A survey of urban drive-by sensing: An optimization perspective
Pervasive and mobile sensing is an integral part of smart transport and smart city
applications. Vehicle-based mobile sensing, or drive-by sensing (DS), is gaining popularity …
applications. Vehicle-based mobile sensing, or drive-by sensing (DS), is gaining popularity …