Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/107716
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Title: Deployment of remote sensing technologies for effective traffic monitoring
Authors: Chen, T
Qi, J 
Xu, M 
Zhang, L
Guo, Y 
Wang, S 
Issue Date: Oct-2023
Source: Remote sensing, Oct. 2023, v. 15, no. 19, 4674
Abstract: A rising volume of vessel traffic increases navigation density, which leads to an increasing risk of vessel collisions in navigation channels. Navigation safety issues have been widely studied with the aim of reducing such collisions. Intelligent navigation channels, which involve deploying remote-sensing radars on buoys, are an effective method of tackling vessel collisions. This paper investigates the problem of radar deployment in navigation channels, aiming to expand the radar coverage area and effectively detect vessel locations. A mixed-integer linear programming model is formulated to determine the optimal deployment of radars in navigation channels under a given budget, where radars with different coverage radii and different types of buoys are introduced. Then, sensitivity analyses involving the impacts of budgets, the coverage radii of the radars, the distance between adjacent discrete locations, and the distribution of the existing buoys on the radar deployment plan are conducted. The computational results indicate that the coverage ratio of the navigation channel can be improved by reasonably deploying the different types of radars on the existing and new buoys under a given budget.
Keywords: Infrastructure management
Radar deployment
Traffic monitoring
Publisher: Molecular Diversity Preservation International (MDPI)
Journal: Remote sensing 
EISSN: 2072-4292
DOI: 10.3390/rs15194674
Rights: © 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
The following publication Chen T, Qi J, Xu M, Zhang L, Guo Y, Wang S. Deployment of Remote Sensing Technologies for Effective Traffic Monitoring. Remote Sensing. 2023; 15(19):4674 is available at https://doi.org/10.3390/rs15194674.
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