Evidence map›Paper›PMID 30935150›Full record

ArticleSensors (Basel, Switzerland)2019

Portable System for Monitoring and Controlling Driver Behavior and the Use of a Mobile Phone While Driving.

Amith Khandakar, Muhammad E H Chowdhury, Rashid Ahmed, Ahmed Dhib, Mohammed Mohammed, Nasser Ahmed M A Al-Emadi, Dave Michelson

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Methods and Tools for Monitoring Driver's Behavior.Proceedings. International Conference on Computational Science and Computational Intelligence · 2022
    Article
  6. Article
  7. Demand-Driven Data Acquisition for Large Scale Fleets.Sensors (Basel, Switzerland) · 2021
    Article
  8. Article
  9. Article
  10. Article
  11. Sensors and Sensing for Intelligent Vehicles.Sensors (Basel, Switzerland) · 2020
    Article
  12. Review
  13. Article
  14. 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

7 authors.

Amith KhandakarElectrical Engineering Department, College of Engineering, Qatar University, Doha-2713, Qatar. amitk@qu.edu.qa.
Muhammad E H ChowdhuryElectrical Engineering Department, College of Engineering, Qatar University, Doha-2713, Qatar. mchowdhury@qu.edu.qa.
Rashid AhmedIndustrial and Mechanical Engineering Department, Qatar University, Doha-2713, Qatar. rashid.ahmed@qu.edu.qa.
Ahmed DhibElectrical Engineering Department, College of Engineering, Qatar University, Doha-2713, Qatar. ad1404376@student.qu.edu.qa.
Mohammed MohammedElectrical Engineering Department, College of Engineering, Qatar University, Doha-2713, Qatar. mm1207599@student.qu.edu.qa.
Nasser Ahmed M A Al-EmadiElectrical Engineering Department, College of Engineering, Qatar University, Doha-2713, Qatar. alemadin@qu.edu.qa.
Dave MichelsonElectrical Engineering Department, University of British Columbia, Vancouver, Canada. davem@ece.ubc.ca.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is an utmost requirement for technology to control a driver's phone while driving, which will prevent the driver from being distracted and thus saving the driver's and passenger's lives. Information from recent studies has shown that 70% of the young and aware drivers are used to texting while driving. There are many different technologies used to control mobile phones while driving, including electronic device control, global positioning system (GPS), on-board diagnostics (OBD)-II-based devices, mobile phone applications or apps, etc. These devices acquire the vehicle information such as the car speed and use the information to control the driver's phone such as preventing them from making or receiving calls at specific speed limits. The information from the devices is interfaced via Bluetooth and can later be used to control mobile phone applications. The main aim of this paper is to propose the design of a portable system for monitoring the use of a mobile phone while driving and for controlling a driver's mobile phone, if necessary, when the vehicle reaches a specific speed limit (>10 km/h). A paper-based self-reported questionnaire survey was carried out among 600 teenage drivers from different nationalities to see the driving behavior of young drivers in Qatar. Finally, a mobile application was developed to monitor the mobile usage of a driver and an OBD-II module-based portable system was designed to acquire data from the vehicle to identify drivers' behavior with respect to phone usage, sudden lane changes, and abrupt breaking/sharp speeding. This information was used in a mobile application to control the driver's mobile usage as well as to report the driving behavior while driving. The application of such a system can significantly improve drivers' behavior all over the world.

Indexed as

BehaviorAccidents, TrafficAdolescentAdultAutomobile DrivingCell PhoneFemaleGeographic Information SystemsHumansMaleMobile ApplicationsPilot ProjectsYoung Adultdriver distractiondriving behaviormobile applicationportable systemreal-time monitoring

Identifiers

PMID30935150
PMCPMC6480564

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.