Older drivers and accidents: A meta analysis and data mining application on traffic accident data

Bayam, Evrim; Liebowìtz, Jay; Agresti, William W.

doi:10.1016/j.eswa.2005.04.025

Cited by 78 publications

(48 citation statements)

References 53 publications

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“…Studies related to senior drivers have shown that crash rates associated with increasing age are most likely related to declining driving abilities and medical conditions that can affect and impair driving (Bayam, Liebowitz, & Agresti, 2005). According to (Zhang, Lindsay, Clarke, Robbins, & Mao, 2000), although physical health and medical conditions did not predict fatality risk for drivers aged 65 to 74, medical conditions, such as diabetes mellitus, epilepsy, and chronic heart disease, were found to significantly increase fatality risks for drivers over the age of 75.…”

Section: Age-related Driving Issuesmentioning

confidence: 99%

“…Visual declines are a prominent cause of driving problems for seniors. Elderly drivers often feel a decline in their capability to clearly distinguish stimuli under various driving conditions, and many seniors experience visual field narrowing (Bayam, Liebowitz, & Agresti, 2005). In addition, senior drivers commonly fail to notice objects in motion (Bayam, Liebowitz, & Agresti, 2005).…”

Section: Visual Acuitymentioning

confidence: 99%

“…A primary reasons why old age drivers make accidents during lane changes and left turns is because of the physical limitations in their upper body motion including neck and back pain, which make looking behind before reversing extremely difficult, or they may fail to carefully check vehicle blind spots before changing lanes (Bayam, Liebowitz, & Agresti, 2005).…”

Section: Physical Limitationsmentioning

confidence: 99%

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Improving Roadway Navigation and Safety of Older Age Drivers

Obeidat¹

2018

RES

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Motor vehicles are the primary mode of transportation worldwide, but drivers must simultaneously utilize various skills and perform multiple tasks at the same time to safely operate the vehicle. As people age, however, physical changes can affect daily life, possibly contributing to declining driving skills. These changes affect vision, hearing, reaction time, and cognitive and motor ability, thus complicating driving. This paper discusses the importance of driving for people of age 65 and older, age-related physical changes, and methods of improving overhead guide sign visibility on roadways. Suggestions to improve navigation and safety on roadways, especially for older people, are presented, including the use of autonomous vehicles fleet.

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Section: Age-related Driving Issuesmentioning

confidence: 99%

Section: Visual Acuitymentioning

confidence: 99%

Section: Physical Limitationsmentioning

confidence: 99%

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Improving Roadway Navigation and Safety of Older Age Drivers

Obeidat¹

2018

RES

View full text Add to dashboard Cite

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“…Drivers over the age of seventy have a higher proportion of accidents per vehicle mile traveled (VMT) than younger, experienced drivers. Drivers over the age of eighty have a crash rate that is approximately two-and-a-half to three times that of drivers between the ages of thirty to sixty-four (Bayam, Liebowitz & Agresti, 2005;Bryer, 2000;Ryan, Legge & Rosman, 1998). When this data is parsed into crash type, it is revealed that the rate of angled collisions increases significantly after age seventy while the rates of all other crash types, including rear-end and head-on crashes, decreases with age.…”

Section: Introductionmentioning

confidence: 96%

Effects of Cognitive and Physical Decline on Older Drivers' Side-to-Side Scanning for Hazards While Executing Turns

Romoser

Fisher

2009

Proceedings of the 5th International Driving Symposium on Human Factors in Driver Assessment, Training, and Vehicle Design : Dr

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Summary: Age related declines in cognitive and physical ability significantly impair an older adult's ability to safely drive. As we age it gradually becomes more difficult to scan for, detect, process, and ultimately react to critical elements in our driving environment. Older drivers are over represented in angled impacts in intersections. Research has shown that older drivers tend to execute fewer side-to-side glances while in the process of turning than middle-aged drivers. This decrease in scanning can directly lead to an increase in angled impacts. The present research investigates the correlation between cognitive and physical decline and the likelihood that an older driver will execute side-to-side glances at the beginning and during a turn. Results of both simulator and field drive sessions with fifty-four older drivers 70-89 years of age demonstrated that cognitive, but not physical, decline was significantly correlated with a decrease in side-to-side scanning while turning.

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“…Data mining is one of the prevalent and powerful CRM analyzing tools. The most important purposes of using the data mining methods are cost reduction, improving customer satisfaction and market share, and improving organizational effectiveness [4]. The data mining includes two groups of techniques: rule-based and basic techniques.…”

Section: Introductionmentioning

confidence: 99%

Predicting Behaviors Of Insurance Costumers By Using The Genetic Algorithm

Bagheri

Ziaratban

Tarokh

2015

J. Math. Computer Sci.

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Improving customers' satisfaction, retaining loyal customers, and acquiring new customers are the most important goals of companies. Because of existing competition conditions among insurance industries, especially in optional insurances such as vehicle body insurance, implementing policies which have benefits for both customers and insurance companies can increase the corporation profitability and customers' satisfaction. In this paper, general policies of vehicle body insurance in Iran are investigated. In this way, a non-linear function (Cj) is proposed to separate profitable and harmful customers. This function is based on some insurance features of customers such as age of a vehicle, vehicle price, vehicle type, and number of years without accident. Customers are categorized based on the calculated values of Cj in which all parameters are optimally set. The parameters have to be set in the training phase to calculate reliable Cj values for customers. Parameters of Cj are set so that in a subset of the customers of the training set for which the value of Cj is greater than a threshold (Th), the number of profitable customers and disadvantageous customers should be maximized and minimized, respectively. A customer with positive M (monetory) value is a profitable customer. To optimize this multivariable problem with large number of parameters, the genetic algorithm is used. After optimizing the parameters in the training phase by using GA, the behaviors of the customers in the test set are predicted. In the prediction phase, it was estimated that a costumer is profitable or not, even he had accidents and received recompenses from the company. If a customer is predicted as profitable, the company allows him to enjoy some discounts. In the current Iranian insurance policies, all discounts are canceled for next insurance year if a customer has accidents and gives recompense from the company. By implementing the proposed policy, the customers' satisfactions are increased and also more new customers are acquired from other insurance companies.

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Older drivers and accidents: A meta analysis and data mining application on traffic accident data

Cited by 78 publications

References 53 publications

Improving Roadway Navigation and Safety of Older Age Drivers

Improving Roadway Navigation and Safety of Older Age Drivers

Effects of Cognitive and Physical Decline on Older Drivers' Side-to-Side Scanning for Hazards While Executing Turns

Predicting Behaviors Of Insurance Costumers By Using The Genetic Algorithm

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