Evidence map›Paper›PMID 33803039›Full record

ArticleSensors (Basel, Switzerland)2021

Towards a Sustainable City for Cyclists: Promoting Safety through a Mobile Sensing Application.

Pablo Boronat, Miguel Pérez-Francisco, Carlos T Calafate, Juan-Carlos Cano

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2021. 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. Semantic Data Mining in Ubiquitous Sensing: A Survey.Sensors (Basel, Switzerland) · 2021
    Review
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

4 authors.

Pablo BoronatComputer Languages and Systems Department, Universitat Jaume I (UJI), 12071 Castelló de la Plana, Spain.ORCID 0000-0001-7850-8179
Miguel Pérez-FranciscoComputer Science and Engineering Department, Universitat Jaume I (UJI), 12071 Castelló de la Plana, Spain.ORCID 0000-0003-3831-4075
Carlos T CalafateComputer Engineering Department (DISCA), Universitat Politècnica de València (UPV), 46022 Valencia, Spain.ORCID 0000-0001-5729-3041
Juan-Carlos CanoComputer Engineering Department (DISCA), Universitat Politècnica de València (UPV), 46022 Valencia, Spain.ORCID 0000-0002-0038-0539

Funding

Ministerio de Ciencia, Innovación y Universidades RTI2018-096384-B-I00
6 · The paper itself

Abstract

Riding a bicycle is a great manner to contribute to the preservation of our ecosystem. Cycling helps to reduce air pollution and traffic congestion, and so, it is one of the simplest ways to lower the environmental footprint of people. However, the cohabitation of cars and vulnerable road users, such as bikes, scooters, or pedestrians, is prone to cause accidents with serious consequences. In this context, technological solutions are sought that enable the generation of alerts to prevent these accidents, thereby promoting a safer city for these road users, and a cleaner environment. Alert systems based on smartphones can alleviate these situations since nearly all people carry such a device while traveling. In this work, we test the suitability of a smartphone based alert system, determining the most adequate communications architecture. Two protocols have been designed to send position and alert messages to/from a centralized server over 4G cellular networks. One of the protocols is implemented using a REST architecture on top of the HTTP protocol, and the other one is implemented over the UDP protocol. We show that the proposed alarm system is feasible regarding communication response time, and we conclude that the application should be implemented over the UDP protocol, as response times are about three times better than for the REST implementation. We tested the applications in real deployments, finding that drivers are warned of the presence of bicycles when closer than 150 m, having enough time to pay attention to the situation and drive more carefully to avoid a collision.

Indexed as

EcosystemPedestriansAccidents, TrafficAutomobilesBicyclingHumansSafety4Glocation based servicesLTE transmission latenciesRESTroad safetysustainable mobilitytraffic warnings

Identifiers

PMID33803039
PMCPMC8003053

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.