Evidence map›Paper›PMID 37430616›Full record

ArticleSensors (Basel, Switzerland)2023

Development of a Smart Signalization for Emergency Vehicles.

Muhammad Hameed Siddiqi, Madallah Alruwaili, İlhan Tarimer, Buse Cennet Karadağ, Yousef Alhwaiti, Faheem Khan

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.8field-weighted citation impact, top 17% 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

4 citing papers in PubMed, 14 citations in OpenAlex.

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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

6 authors at 3 institutions in 3 countries.

Muhammad Hameed SiddiqiCollege of Computer and Information Sciences, Jouf University, Sakaka 73211, Saudi Arabia.
Madallah AlruwailiCollege of Computer and Information Sciences, Jouf University, Sakaka 73211, Saudi Arabia.ORCID 0000-0002-5198-5730
İlhan TarimerDepartment of Information Systems Engineering, Muğla Sıtkı Koçman University, Muğla 48000, Turkey.ORCID 0000-0002-7274-5680
Buse Cennet KaradağDepartment of Information Systems Engineering, Muğla Sıtkı Koçman University, Muğla 48000, Turkey.
Yousef AlhwaitiCollege of Computer and Information Sciences, Jouf University, Sakaka 73211, Saudi Arabia.
Faheem KhanDepartment of Computer Engineering, Gachon University, Seongnam-si 13120, Gyeonggi-do, Republic of Korea.ORCID 0000-0001-6220-0225
Jouf University · SAMuğla University · TRGachon University · KR

Funding

Deanship of Scientific Research at Jouf University DSR-2022-RG-0101
6 · The paper itself

Abstract

As the population increases, the number of motorized vehicles on the roads also increases. As the number of vehicles increases, traffic congestion occurs. Traffic lights are used at road junctions, intersections, pedestrian crossings, and other places where traffic needs to be controlled to avoid traffic chaos. Due to traffic lights installed in the city, queues of vehicles are formed on the streets for most of the day, and many problems arise because of this. One of the most important problems is that emergency vehicles, such as ambulances, fire engines, police cars, etc., cannot arrive on time despite traffic priorities. Emergency vehicles such as hospitals and police departments need to reach the scene in a very short time. Time loss is a problem that needs to be addressed, especially for emergency vehicles traveling in traffic. In this study, ambulances, fire brigades, police, etc., respond to emergencies. A solution and a related application have been developed so privileged vehicles can reach their target destination as soon as possible. In this study, a route is determined between the current location of an emergency vehicle and its target location in an emergency. Communication between traffic lights is provided with a mobile application developed specifically for the vehicle driver. In this process, the person controlling the lights can turn on the traffic lights during the passage of vehicles. After the vehicles with priority to pass passed, traffic signaling was normalized via the mobile application. This process was repeated until the vehicle reached its destination.

Indexed as

emergency vehiclessignalingsmart roadssmart traffic lights

Identifiers

PMID37430616
PMCPMC10222673
OpenAlexW4381417731

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.