Evidence map›Paper›PMID 38257534›Full record

ReviewSensors (Basel, Switzerland)2024

Data Sources and Models for Integrated Mobility and Transport Solutions.

Pierfrancesco Bellini, Stefano Bilotta, Enrico Collini, Marco Fanfani, Paolo Nesi

Abstract readReview
In one paragraph

Review in Sensors (Basel, Switzerland), 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

5 authors.

Pierfrancesco BelliniDISIT Lab, University of Florence, 50139 Florence, Italy.ORCID 0000-0002-8167-1003
Stefano BilottaDISIT Lab, University of Florence, 50139 Florence, Italy.ORCID 0000-0002-6947-762X
Enrico ColliniDISIT Lab, University of Florence, 50139 Florence, Italy.ORCID 0000-0002-1304-5545
Marco FanfaniDISIT Lab, University of Florence, 50139 Florence, Italy.ORCID 0000-0003-3741-1842
Paolo NesiDISIT Lab, University of Florence, 50139 Florence, Italy.ORCID 0000-0003-1044-3107

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The number of data sources and models in the mobility and transport domain strongly proliferated in the last decade. Most formats have been created to enable specific and innovative applications. On the other hand, the available data models present a certain degree of complexity in terms of their integration and management due to partial overlaps, and in most cases, they could be exploited alternatively to implement the same smart and latest innovative solutions. This paper offers an overview of data models, standards and their relationships. A second contribution highlights any possible exploitation of data models for implementing operational processes for city transportation management and for the feeding of simulation and optimization processes that produce other data results in other data models. The final goal in most cases is the monitoring and control of city transport conditions, as well as the tactic and strategic planning of city infrastructure. This work was developed in the context of the CN MOST, a national center of sustainable mobility in Italy, and it is based on exploiting the Snap4City platform.

Indexed as

big datadata modelsdata spacemobility and transport

Identifiers

PMID38257534
PMCPMC10819811

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.