Effects of various distractions on audio and visual reaction time in 1st year MBBS students

Kacker, Sudhanshu; Saboo, Neha; Sharma, Mahima; Jitender,; Nirvan, Surbhi

doi:10.5455/njppp.2019.9.1133615112018

Cited by 1 publication

(2 citation statements)

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“…In this study, the idea is to install an intelligent notification system in vehicles which would make an audible sound when the preceding vehicle starts to move after the light turns green. As the results from the literature show, a sound signal indeed improves, i.e., shortens, the reaction time of the driver [2][3][4]. This would inform drivers waiting in a queue and force them to react faster when vehicle in the front of them starts moving.…”

Section: Introductionmentioning

confidence: 88%

“…A large difference was found between male and female first-year students of medicine (p < 0.001), as well as between physically active and inactive students. The article written by Kacker, Saboo, Sharma and Nirvan [4] contains studies on the influence of various distracting factors in relation to ART and VRT. Moreover, it was found that the reaction times to ART audio stimuli were much shorter than VRT visual stimuli.…”

Section: Introductionmentioning

confidence: 99%

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Management of Delay Optimization at Intersections

Kuźmiński

Maśloch²,

Bazan

et al. 2020

Energies

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Congestion extends the time of the journey for both people and goods. Therefore, transport solutions should be optimized. Management scientists and technical scientists worked together in order to develop a proprietary solution to increase efficiency in terms of productivity improvements for intelligent transport systems. The most fundamental functions of management have been paired with a detailed analysis of city traffic. The authors developed a method for determining the order of vehicles at traffic lights and connected it with vehicle-to-vehicle communication and GPS signals. As a result, a novel method to increase the throughput of intersections is presented. This solution generates a sound signal in order to inform the driver that the preceding car has started moving forward. The proposed solution leads to the shortening of the reaction time of the drivers waiting in a queue. This situation is most common at red lights. Consequently, the traffic simulation shows that the discharge of queues at traffic lights may be quicker by up to 13.5%. Notably, that proposed solution does not require any modification of the infrastructure as well as any additional devices for vehicle-to-infrastructure communication at the road intersections. To conclude, proper implementation of the proposed solution will certainly contribute to efficiency improvements within intelligent transport systems, with the potential to reduce traffic jams.

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Section: Introductionmentioning

confidence: 88%

Section: Introductionmentioning

confidence: 99%