A Vision and Proof of Concept for New Approach to Monitoring for Safer Future Smart Transportation Systems.

Kent X Eng, Yang Xie, Mauricio Pereira, Zygmunt J Haas, Samir R Das, Petar M Djurić, Branko Glisic, Milutin Stanaćević

Abstract read

In one paragraph

Article in Sensors (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it

0cells of the map it votes in

0citing papers in PubMed

–field-weighted citation impact

1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Kent X EngDepartment of Civil and Environmental Engineering, Princeton University, Princeton, NJ 08544, USA.ORCID 0009-0008-0794-6436

Yang XieDepartment of Electrical and Computer Engineering, Stony Brook University, Stony Brook, NY 11794, USA.

Mauricio PereiraDepartment of Civil and Environmental Engineering, Princeton University, Princeton, NJ 08544, USA.ORCID 0000-0001-8853-5170

Zygmunt J HaasComputer Science Department, University of Texas at Dallas, Richardson, TX 75080, USA.ORCID 0000-0003-4225-7333

Samir R DasDepartment of Computer Science, Stony Brook University, Stony Brook, NY 11794, USA.ORCID 0000-0002-0802-3130

Petar M DjurićDepartment of Electrical and Computer Engineering, Stony Brook University, Stony Brook, NY 11794, USA.ORCID 0000-0001-7791-3199

Branko GlisicDepartment of Civil and Environmental Engineering, Princeton University, Princeton, NJ 08544, USA.ORCID 0000-0002-1852-5310

Milutin StanaćevićDepartment of Electrical and Computer Engineering, Stony Brook University, Stony Brook, NY 11794, USA.

Funding

National Science Foundation ECSS - 2329800, ECCS - 2329801, ECSS - 2329802

6 · The paper itself

Abstract

Transportation infrastructure experiences distress due to aging, overuse, and climate changes. To reduce maintenance costs and labor, researchers have developed various structural health monitoring systems. However, the existing systems are designed for short-term monitoring and do not quantify structural parameters. A long-term monitoring system that quantifies structural parameters is needed to improve the quality of monitoring. In this work, a novel Transportation Rf-bAsed Monitoring (TRAM) system is proposed. TRAM is a multi-parameter monitoring system that relies on embeddable backscatter-based, batteryless, and radio-frequency sensors. The system can monitor structural parameters with 3D spatial and temporal information. Laboratory experiments were conducted on a 1D scale to evaluate and examine the sensitivity and reliability of the monitored structural parameters, which are displacement and water content. In contrast to other existing methods, TRAM correlates phase change to the change in concerned parameters, enabling long-term monitoring.

Indexed as

pavement monitoringRF sensingsensor networkstructural health monitoringtransportation monitoring

Identifiers

PMID39338764

DOI10.3390/s24186018

PMCPMC11435677

What OpenQuestion holds

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LicenceCC BY

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.