Evidence map›Paper›PMID 35746397›Full record

ReviewSensors (Basel, Switzerland)2022

Vulnerable Road Users and Connected Autonomous Vehicles Interaction: A Survey.

Angélica Reyes-Muñoz, Juan Guerrero-Ibáñez

Open access · goldAbstract readReview
In one paragraph

Review in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
3.4field-weighted citation impact, top 7% of its field
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

7 citing papers in PubMed, 45 citations in OpenAlex.

  1. Article
  2. Review
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  6. Review
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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

2 authors at 2 institutions in 2 countries.

Angélica Reyes-MuñozComputer Architecture Department, Polytechnic University of Catalonia, 08860 Barcelona, Spain.ORCID 0000-0002-8284-9934
Juan Guerrero-IbáñezFaculty of Telematics, University of Colima, Colima 28040, Mexico.ORCID 0000-0001-6517-4421
Universidad de Colima · MXUniversitat Politècnica de Catalunya · ES

Funding

Ministry of Economy, Industry, and Competitiveness of Spain PID2020-116377RB-C21
6 · The paper itself

Abstract

There is a group of users within the vehicular traffic ecosystem known as Vulnerable Road Users (VRUs). VRUs include pedestrians, cyclists, motorcyclists, among others. On the other hand, connected autonomous vehicles (CAVs) are a set of technologies that combines, on the one hand, communication technologies to stay always ubiquitous connected, and on the other hand, automated technologies to assist or replace the human driver during the driving process. Autonomous vehicles are being visualized as a viable alternative to solve road accidents providing a general safe environment for all the users on the road specifically to the most vulnerable. One of the problems facing autonomous vehicles is to generate mechanisms that facilitate their integration not only within the mobility environment, but also into the road society in a safe and efficient way. In this paper, we analyze and discuss how this integration can take place, reviewing the work that has been developed in recent years in each of the stages of the vehicle-human interaction, analyzing the challenges of vulnerable users and proposing solutions that contribute to solving these challenges.

Indexed as

Accidents, TrafficPedestriansAutonomous VehiclesBicyclingEcosystemHumansautomated vehiclesconnected vehiclesdeep learningmachine learningpedestrians

Identifiers

PMID35746397
PMCPMC9229412
OpenAlexW4283161864

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.