Effect of Distracting Factors on Driving Performance: A Review

Sorum, Neero Gumsar; Pal, Dibyendu

doi:10.28991/cej-2022-08-02-014

Cited by 16 publications

(3 citation statements)

References 143 publications

(260 reference statements)

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“…Contoh dari permasalahan tersebut tertulis pada artikel ilmiah oleh (Tabassum et al, 2020) di mana sekitar 52% pengemudi mobil pria dan sekitar 39% pengemudi mobil Wanita menggunakan ponsel sambil menyetir mobil. Distraksi saat mengemudi mobil menyebabkan peningkatan variasi kecepatan, berkurangnya kemampuan untuk mempertahankan mobil di satu jalur (Sorum and Pal, 2022), penurunan performa berkendara (Snider et al, 2021), dan peningkatan resiko kecelakaan (Karelina et al, 2021).…”

Section: Pendahuluanunclassified

Desain Head-Up Display Berbasis Refleksi untuk Aplikasi Navigasi pada Mobil Menggunakan Metode Human-Centered Design

Hermawan,

Tolle,

Akbar

2023

JTIIK

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Aktivitas mengemudi mobil disertai penggunaan navigasi adalah hal yang umum ditemui pada masyarakat. Perangkat navigasi umumnya menampilkan petunjuk rute pada layar perangkat ponsel pintar atau pada head unit. Namun, penggunaan perangkat navigasi dengan cara tersebut dapat membuat pengendara mobil terdistraksi pada saat mengemudi. Penelitian ini memberikan alternatif solusi untuk meminimalisir distraksi pada pengemudi mobil menggunakan desain navigasi Head-up Display (HUD) yang direfleksikan pada kaca depan mobil dengan pendekatan Human-Centered Design (HCD). Informasi navigasi direfleksikan pada kaca depan mobil menggunakan ponsel pintar sebagai proyektor informasi navigasi. Penelitian ini juga berkontribusi pada perancangan kerangka desain navigasi yang terlihat jelas serta nyaman bagi pengemudi mobil. Hasil penelitian menunjukkan bahwa konsep HUD dalam penyampaian informasi navigasi tidak membuat koresponden merasa terdistraksi. Analisis hasil kuisioner menunjukkan bahwa warna sian adalah warna yang paling memiliki dampak positif bagi informasi navigasi yang terlihat jelas dan nyaman. Aspek ukuran dari kerangka desain navigasi yang optimal ditunjukkan dengan informasi navigasi berada di dalam lingkaran berdiameter 5,077 cm. Kontribusi dari penelitian ini diharapkan dapat dijadikan referensi untuk diterapkan pada aplikasi navigasi yang menggunakan metode Head-up Display. AbstractDriving a car activity while using navigation is commonly found in people. The navigation device usually displays route guide either on the smartphone’s screen or the head unit. However, the usage of this kind of navigation while driving a car can make a distraction for the driver. This research proposed an alternative solution to minimize distraction and to keep car driver stay on focused while they look at reflected navigation HUD information on the windshield. This research uses Human-Centered Design (HCD) as the method. This research proposes a simple HUD concept to reduce distraction. This HUD Concept uses the car’s windshield as a reflector for navigation arrows. This concept uses a smartphone to project navigation information. This research proposes a framework design of navigation that is clear to see and comfortable from a car driver’s viewpoint. The result of the research shows that the proposed HUD concept to display navigation information on a car’s windshield makes correspondents didn’t feel distracted. Another research result about optimal navigation design framework in color aspect is cyan. The size aspect of the optimal navigation design framework is inside a 5.077 cm diameter circle. The results of this research can be used as a reference for navigation applications that use the HUD method to display navigation information.

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Section: Pendahuluanunclassified

Desain Head-Up Display Berbasis Refleksi untuk Aplikasi Navigasi pada Mobil Menggunakan Metode Human-Centered Design

Hermawan,

Tolle,

Akbar

2023

JTIIK

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“…There is considerable research on distracted driving, but less attention has been given to traffic violations. With the significant improvement in the digitalisation of urban governance and the widespread application of artificial intelligence [4,5], there has been an accumulation of data resources related to urban traffic law enforcement. However, most of the data resources are described through natural language, which cannot be directly used for data analysis, cannot directly guide the construction of urban traffic violation monitoring system and cannot support the accurate management of traffic violations.…”

Section: Introductionmentioning

confidence: 99%

Analysis of Beijing Traffic Violations Based on the BERT-CRF Model

Li,

Shi,

2024

PROMTT

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Traffic violations are a major cause of traffic accidents, yet current research falls short in comprehensively analysing these violations and the named entity method fails to extract the name of traffic violation events from records, thereby lacking in providing guidance for managing urban traffic violations. By expanding the People’s Daily dataset from 71,456 words to 95,291 words, the BERT-CRF (Bidirectional Encoder Representations from Transformers-Conditional Random Field) model achieves an accuracy rate of 88.53%, a recall rate of 92.90% and an F1 score of 90.66%, successfully identifying event, time and location named entities within traffic violations. The data of traffic violations is then enhanced through forward geocoding and the Bayesian formula, and traffic violations are analysed from time, space, administrative region, gender and weather, to provide support for the dynamic allocation of law enforcement forces on traffic scenes and the precise management oftraffic violations.

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“…This was demonstrated in a study conducted in Copenhagen, where nearly half of the participants felt "very safe" when using cycling paths, compared to a lower percentage on cycle tracks and an even lower percentage on roads with mixed traffic. This emphasizes the importance of providing cyclist-friendly infrastructure and prioritizing cyclist safety, such as implementing dedicated cycling paths or tracks, in order to encourage more people to choose bicycles as their mode of transportation [8]. Krizek et al (2017) conducted a study on the impact of interruptions in cycle tracks on road safety.…”

Section: Introductionmentioning

confidence: 99%

Analysis of Perceptions of Cycling Safety on Roads with Mixed Traffic Depending on Age, Gender, and Riding Experience

Bixhaku,

Hoxha,

Duraku

2023

Civ Eng J

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Promoting cycling as a sustainable mode of transport necessitates understanding how individuals perceive the risks associated with bicycling based on age, gender, and riding experience. This study addresses a critical gap in the field of traffic by examining cyclists' perceptions of risk and safety on mixed-traffic roads. Despite increased interest in promoting cycling as a sustainable means of transportation, research on this topic is rare. Therefore, this study aims to contribute to existing literature on cyclist perceptions and cycling safety on roads with mixed traffic by examining the significant differences that may exist among age groups, genders, and individuals with varying riding experiences. The research focuses on roads lacking distinct bicycle paths and characterized by heterogeneous traffic streams. The study surveyed 120 cyclists on 13 roads in Pristina, the capital of Kosovo. Safety perception, measured using a Likert scale (1–5), was the dependent variable. Non-parametric methods, specifically the Mann-Whitney and Kruskal-Wallis tests, were employed to analyze the data and test the hypotheses. The results revealed statistically significant differences between genders (Mann-Whitney test: U = 720; Z = -5.887, p = 0.000 < 0.05; r = -0.537), between groups with and without riding experience (Mann-Whitney test: U = 1240.5; Z = -2.59; p = 0.01; r = -0.236), and among age groups (Kruskal Wallis test: df = 4; p = 0.022 < 0.05). With Bonferroni correction, post hoc analysis using the Mann-Whitney test demonstrated significant differences (adjusted p < 0.0125) between at least two age groups. The median perception of general safety was at Likert scale 3 (average safety), while the perception of comfort was at level 2 (uncomfortable). These findings provide valuable insights for policymakers involved in urban planning, offering targeted strategies to enhance cycling safety based on age, gender, and riding experience. The findings highlight the complicated interaction of these elements and their impact on riders' safety perceptions. By understanding these dynamics, policymakers and urban planners may build targeted interventions and infrastructure upgrades to promote safer and more inclusive riding environments. This work adds to the field by shining light on the elements that influence cyclists' risk perception, eventually guiding methods for improving cycling safety and boosting the use of bicycles as a sustainable transportation choice. Doi: 10.28991/CEJ-SP2023-09-011 Full Text: PDF

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Effect of Distracting Factors on Driving Performance: A Review

Cited by 16 publications

References 143 publications

Desain Head-Up Display Berbasis Refleksi untuk Aplikasi Navigasi pada Mobil Menggunakan Metode Human-Centered Design

Desain Head-Up Display Berbasis Refleksi untuk Aplikasi Navigasi pada Mobil Menggunakan Metode Human-Centered Design

Analysis of Beijing Traffic Violations Based on the BERT-CRF Model

Analysis of Perceptions of Cycling Safety on Roads with Mixed Traffic Depending on Age, Gender, and Riding Experience

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