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Open AccessArticle
An Information Gradient Approach to Optimizing Traffic Sensor Placement in Statewide Networks
by
Yunxiang Yang
Yunxiang Yang ,
Hao Zhen
Hao Zhen and
Jidong J. Yang
Jidong J. Yang *
Smart Mobility and Infrastructure Laboratory, College of Engineering, University of Georgia, Athens, GA 30605, USA
*
Author to whom correspondence should be addressed.
Information 2024, 15(10), 654; https://doi.org/10.3390/info15100654 (registering DOI)
Submission received: 22 September 2024
/
Revised: 12 October 2024
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Accepted: 14 October 2024
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Published: 18 October 2024
Abstract
Traffic sensors are vital to the development and operation of Intelligent Transportation Systems, providing essential data for traffic monitoring, management, and transportation infrastructure planning. However, optimizing the placement of these sensors, particularly across large and complex statewide highway networks, remains a challenging task. In this research, we presented a novel search algorithm designed to address this challenge by leveraging information gradients from K-nearest neighbors within an embedding space. Our method enabled more informed and strategic sensor placement under budget and resource constraints, enhancing overall network coverage and data quality. Additionally, we incorporated spatial kriging analysis, harnessing spatial correlations of existing sensors to refine and reduce the search space. Our proposed approach was tested against the widely used Genetic Algorithm, demonstrating superior efficiency in terms of convergence time and producing more effective solutions with reduced information loss.
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MDPI and ACS Style
Yang, Y.; Zhen, H.; Yang, J.J.
An Information Gradient Approach to Optimizing Traffic Sensor Placement in Statewide Networks. Information 2024, 15, 654.
https://doi.org/10.3390/info15100654
AMA Style
Yang Y, Zhen H, Yang JJ.
An Information Gradient Approach to Optimizing Traffic Sensor Placement in Statewide Networks. Information. 2024; 15(10):654.
https://doi.org/10.3390/info15100654
Chicago/Turabian Style
Yang, Yunxiang, Hao Zhen, and Jidong J. Yang.
2024. "An Information Gradient Approach to Optimizing Traffic Sensor Placement in Statewide Networks" Information 15, no. 10: 654.
https://doi.org/10.3390/info15100654
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