Evidence map›Paper›PMID 41847214›Full record

ReviewResearch (Washington, D.C.)2026

Micro-Energy Harvesting and Self-Powered Sensing for Intelligent Road: A Comprehensive Review.

Guiping Zheng, Chao Xing, Lei Zhang, Hengyu Li, Tinghai Cheng, Yiqiu Tan

Abstract readReview
In one paragraph

Review in Research (Washington, D.C.), 2026. 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

6 authors.

Guiping ZhengSchool of Transportation Science and Engineering, Harbin Institute of Technology, Harbin 150000, China.
Chao XingSchool of Transportation Science and Engineering, Harbin Institute of Technology, Harbin 150000, China.ORCID https://orcid.org/0000-0002-7032-4823
Lei ZhangSchool of Transportation Science and Engineering, Harbin Institute of Technology, Harbin 150000, China.
Hengyu LiBeijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing 101400, China.
Tinghai ChengBeijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing 101400, China.
Yiqiu TanSchool of Transportation Science and Engineering, Harbin Institute of Technology, Harbin 150000, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The sustained growth in global road mileage, combined with rising public expectations for improved travel safety and comfort, has created an urgent demand for sensing technologies in road systems. Nevertheless, conventional monitoring methods are increasingly insufficient for modern intelligent roads (IRs), which represent next-generation infrastructure requiring efficient and sustainable sensing solutions. Existing sensor systems that rely on traditional power sources or cabled power supply suffer from inherent limitations, including short operational lifespans and high maintenance costs. At the same time, current road micro-energy harvesting technologies struggle to meet the demands of large-scale distributed sensor networks in IR, underscoring the critical need for self-powered sensing solutions designed for IR. This review identifies the power supply bottleneck inherent in distributed sensor networks of IR, provides a critical comparison of potential solutions with a focus on micro-energy harvesting technologies, and offers a comprehensive review of the practical applications of self-powered sensors (mainly piezoelectric nanogenerators and triboelectric nanogenerators) within road systems. Furthermore, it proposes forward-looking recommendations and developmental prospects for the field, thereby offering theoretical support to advance the large-scale implementation of self-powered sensing in IR systems.

Identifiers

PMID41847214
PMCPMC12989652

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.