Evidence map›Paper›PMID 39532905›Full record

ArticleScientific data2024

High-resolution multi-source traffic data in New Zealand.

Bo Li, Ruotao Yu, Zijun Chen, Yingzhe Ding, Mingxia Yang, Jinghua Li, Jianxiao Wang, Haiwang Zhong

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific data, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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.

Bo Li *School of Electrical Engineering, Guangxi University, Nanning, 530004, China.ORCID http://orcid.org/0000-0001-7320-7297
Ruotao Yu *School of Electrical Engineering, Guangxi University, Nanning, 530004, China.ORCID http://orcid.org/0009-0005-4887-2339
Zijun ChenSchool of Electrical Engineering, Guangxi University, Nanning, 530004, China.
Yingzhe DingSchool of Electrical Engineering, Guangxi University, Nanning, 530004, China.
Mingxia YangSchool of Electrical Engineering, Guangxi University, Nanning, 530004, China.
Jinghua LiSchool of Electrical Engineering, Guangxi University, Nanning, 530004, China. lijinghua@gxu.edu.cn.
Jianxiao WangNational Engineering Laboratory for Big Data Analysis and Applications, Peking University, Beijing, 100871, China. wang-jx@pku.edu.cn.ORCID http://orcid.org/0000-0001-9871-5263
Haiwang ZhongState Key Lab of Power System Operation and Control, Tsinghua University, Beijing, 100084, China. zhonghw@mail.tsinghua.edu.cn.

Funding

National Natural Science Foundation of China (National Science Foundation of China) 52122706
6 · The paper itself

Abstract

Traffic information is crucial for managing transportation and city planning, but obtaining national-scale data is difficult due to privacy concerns. Consequently, most current traffic datasets have limitations in terms of time and location coverage, leading to a lack of comprehensive public access to national traffic data. To address this issue, a multi-source highway traffic dataset has been created, featuring 2042 sensors in New Zealand over a 9-year period with 15-minute intervals and accompanying metadata. The dataset includes data of both light-duty and heavy-duty vehicles, as well as weather information like temperature and precipitation. This dataset has diverse potential research applications such as traffic flow prediction and congestion management.

Identifiers

PMID39532905
PMCPMC11557880

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.