Relationship Between Car Color and Car Accident on the Basis of Chromatic Aberration

Shin, Seong-Yoon; Rhee, Yang-Won; Jang, Dai-Hyun; Lee, Sang‐Won; Lee, Hyun-Chang; Jin, Chan Yong

doi:10.1007/978-94-007-6516-0_6

Cited by 4 publications

(4 citation statements)

References 7 publications

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“…Amra et al [1] reveal that the most important predictors of motor vehicle accidents for Persian commercial professional drivers are larger neck circumference, history of witnessed apneas and high-risk Berlin questionnaire. Shin et al [15] study the relationship between car color (in terms of chromatic aberration) and car accident. They find that advancing colors (e.g.…”

Section: Related Workmentioning

confidence: 99%

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Festival, Date and Limit Line: Predicting Vehicle Accident Rate in Beijing

Zhuang

Wu²,

et al. 2015

Proceedings of the 2015 SIAM International Conference on Data Mining

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Thousands of vehicle accidents happen every day in Beijing, leading to huge losses. Government traffic management bureau, hospitals, and insurance companies put massive manpower and material resources to deal with accidents. For more reasonable resource assignment, in this study we focus on the prediction of daily Vehicle Accident Rate (VAR), namely the percentage of vehicles with accidents. Specifically, we analyze how the variation of VAR correlates with the macroscopic features, like Chinese festival, date, tailnumber limit line etc., and develop the prediction model for VAR based on these features. Our analysis is based on the records of two-year accidents on the vehicles, which are insured by a local insurance giant in Beijing. Experiments show that the proposed model can predict the long-term VAR for at least three months in advance, with satisfactory results. Note also that our study is based on the local conditions in Beijing with Chinese characteristics. It not only helps government bureaus and insurance companies to operate more efficiently, but also helps to know many underlying characteristics of this China capital in a macroscopic perspective.

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Section: Related Workmentioning

confidence: 99%

“…The first group includes the features on individual vehicles, e.g. the color of the vehicle [15]. The second group includes the features on individual drivers, like the history of witnessed apneas [1] and the older drivers driving with pets [2].…”

Section: Introductionmentioning

confidence: 99%

Festival, Date and Limit Line: Predicting Vehicle Accident Rate in Beijing

Zhuang

Wu²,

et al. 2015

Proceedings of the 2015 SIAM International Conference on Data Mining

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“… 2. Vehicle colour is likely to influence accident risk but not because of any correlation to driving speed. Instead, the colour influences the risk by affecting the visibility of the vehicle (Newstead and D’Elia, 2010; Shin et al, 2013). …”

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confidence: 99%

The skewing effect of outcome evidence

Pelled

2023

The International Journal of Evidence & Proof

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Behaviours are primarily regulated to reduce the risks of a negative outcome to others. This article discusses the use of outcomes as evidence of violations of a legal standard (outcome evidence). The current debate over outcome evidence centres around limited rationality. Opponents argue that factfinders’ estimations are distorted by hindsight bias, while supporters argue that factfinders properly update the probability of fault, given information about the outcome. The article adopts the rationality assumptions and argues that factfinders should nevertheless disregard outcome evidence in most cases unless the outcome can provide evidence that works for or against the defendant or when the law creates inefficient incentives to comply with the legal standard, then using adverse outcomes as evidence may help solve the problem of undercompliance. The article further shows that when evidence cannot be excluded, changes to the law governing primary behaviour are warranted to account for the distortionary effect of outcome evidence.

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“…Shin et al, 2013) shows the relationship between car color and car accident on the basis of chromatic aberration. But, we perform an experiment for 138 cars by use of seven colors.…”

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confidence: 99%

Correlation between Car Accident and Car Color for Intelligent Service

Shin¹,

Lee²

2013

Journal of Intelligence and Information Systems

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In designing Intelligent Traffic Systems, it should be necessary to consider telecommunications, appearance, environment, auxiliary functions, safety, and so on. Also, in choosing a car, a consumer considers those properties. This paper tried to elucidate the fact that car color has a very significant meaning for car safety when administrating intelligent traffic services and making car-purchasing decision. We first studied on occurrence probability of car accident according to car color that has something to do with car safety. Then, we studied on the concepts of advancing color and receding color. Advancing color causes less accidents since the color looks closer than it actually is. And receding color causes more accidents since the color looks farther than it actually is. And we classified car colors into eight classes and assign their ranking to each class, considering the number of car accidents. We tried to verify our research by use of telephone questionnaire for residents in Kunsan, Republic of Korea.

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Relationship Between Car Color and Car Accident on the Basis of Chromatic Aberration

Cited by 4 publications

References 7 publications

Festival, Date and Limit Line: Predicting Vehicle Accident Rate in Beijing

Festival, Date and Limit Line: Predicting Vehicle Accident Rate in Beijing

The skewing effect of outcome evidence

Correlation between Car Accident and Car Color for Intelligent Service

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