With 4/20 approaching, its worth noting that marijuana use can inhibit concentration, slow reaction times, and cloud judgment. Risky driving behavior No. Lytxisa leading provider of video telematics, analytics, safety, and productivity solutions for commercial, public sector, and field service fleets. 100103, 2019. B. Reimer, B. Mehler, Y. Wang, and J. F. Coughlin, A field study on the impact of variations in short-term memory demands on drivers visual attention and driving performance across three age groups, Human Factors: The Journal of the Human Factors and Ergonomics Society, vol. In addition, the correlation coefficient between indicators may be negative, resulting in errors in the evaluation results. About Lytx The saccade amplitude of all drivers was counted, as shown in Figure 5. For more information on Lytx telematics systems, visitwww.lytx.com,@lytxon Twitter,LinkedIn, ourFacebookpage or ourYouTubechannel. In order to make the simulation scenarios more realistic, all scenarios were set up with a small number of vehicles randomly appearing in the opposite lanes, but with no effect on vehicles in the direction of travel. 22, p. 15354, 2022. The urban expressway scenario was developed for the simulated driving test to collect eye movement data when the drivers were in different driving states during driving to provide data support for the subsequent analysis of the drivers' visual characteristics. 9, pp. The pupil area data of each driver in normal driving under two traffic conditions were averaged, and the pupil area distribution of each driver in the absence of the secondary distraction task is shown in Figure 7. P. Papantoniou, Structural equation model analysis for the evaluation of overall driving performance: a driving simulator study focusing on driver distraction, Traffic Injury Prevention, vol. Lytx MV+AI technology is a driver aid only. From 2010 to 2012, our commercial vehicles have a total of 742 cases of death more than 3 people traffic accident, which killed 3476 people and caused bad influence [ 1 ]. At this time, the mutual interference between vehicles was obvious, showing the speed adaptation characteristics, and the road was continuously congested. API integrations. 1, pp. The drivers VSC in the free flow scenario was more sensitive to the impact of cell phone call operation, and the increase in driving risk was greater when driving distracted. F. You, H. Tu, Y. Gong, H. Wang, and J. Xu, Influence of mobile phone social entertainment operation on driver's visual parameters, Journal of Transportation Systems Engineering and Information Technology, vol. More than 50% of drivers involved in serious injury and fatal crashes tested positive for at least one drug. 128, no. The report on the economic impact of crashes also touched on the risky driving behaviors that lead to crashes, fatalities, serious injuries and property damage. There were 697 drowsy-driving-related crashes in 2019. - Lytx advances fleet safety with 15 million event clips captured and processed over a three-month period, - Data reveals drivers not wearing seatbelts and following the vehicle ahead too closely together represent 54% of all coachable incidents captured this summer, SAN DIEGO Sept. 16, 2020 Lytx, a leading global provider of machine vision and artificial intelligence (MV+AI)-powered video telematics safety and productivity solutions for commercial, public sector, and service fleets, experienced a record-breaking summer in terms of the video data it captured, processed and delivered to empower drivers and clients. 21, no. 8, pp. Peak-to-average power ratio (PAPR) is a common indicator in the field of communication technology, used to describe the dynamic variation range of the signal envelope as the ratio of the peak power to the average power of a time-domain signal [49]. In the two traffic conditions, the correlation degree of the cell phone operation state decreased to different degrees compared with normal driving, and the VSC was more sensitive to the influence of video call operation, resulting in a sharp decrease in the correlation degree. T. A. Dingus, F. Guo, S. Lee et al., Driver crash risk factors and prevalence evaluation using naturalistic driving data, Proceedings of the National Academy of Sciences, vol. The National Highway Traffic Safety Administration (NHTSA) has identified six risky driving behaviors. Join a collaborative team dedicated to building technology that helps save lives. In addition, the driving distraction test is widely used in the field of distracted driving research as the most direct way to obtain data. K. L. Young, P. M. Salmon, and M. Cornelissen, Missing links? 136108136118, 2020. Here is a breakdown of the riskiest behaviors based on reports released by the NHTSA in 2023 and 2022. Set. Were proud to use video for good as a way to empower thousands of fleets and millions of drivers so that no commercial driver is ever the cause of a collision., 3 Million Risky Driving Events Analyzed; Top 5 Most Common Risky Behaviors Identified. X. Ding, H. Wang, M. Gao, and Z. Lyu, Evaluation and modeling of driver's visual load at entrance and exit of a highway tunnel, Tunnel Construction, vol. The PARSV of drivers was significantly different in different driving states under different traffic conditions. And what compounds these safety challenges, especially at night, are speeding, aggressive driving, distracted driving and impairment from alcohol or drugs. Webrisky driving episode. P. Hancock, M. Mouloua, and J. Senders, On the philosophical foundations of the distracted driver and driving distraction, Driver Distraction, Taylor & Francis, Abingdon, UK, 2008. According to equation (1), the minimum sample size was obtained as 14. The concept of PAPR was introduced into the study of human visual characteristics, and the peak-to-average ratio of saccade velocity (PARSV) was established to reflect the dynamic balance degree of saccade behavior and to represent the stability of individual visual search ability, as defined in the following equation:where PARSV (dB) denotes the peak-to-average ratio of saccade velocity, denotes saccade peak velocity, is the saccade average velocity. Du, Improvement of analytic hierarchy process based on grey correlation model and its engineering application, ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Part A-Civil Engineering, vol. Drivers and passengers who fail to buckle up when they get into a car face high risks in the event of a crash 47% of passenger vehicle occupants who were killed in 2019 in crashes were not wearing seat belts. The two-way ANOVA was adopted, as shown in Table 6, in which both traffic conditions and driving states significantly influenced the drivers saccade amplitude, but there was no interactive influence between traffic conditions and driving states on saccade amplitude. Stress and Emotional Strain While not often discussed in correlation with driving, stress and emotional strain can have a major impact on decision-making, reaction time and situational awareness. The distribution of PARSV was similar in the two traffic conditions, and the mean PARSV of drivers in the cell phone operation state was generally increased compared with the normal driving state, and the growth rates of the hands-free call state were relatively low, 2.64% and 0.77% in free flow and congested flow, respectively, while the mean PARSV in video call state increased more, with growth rates of 8.52% and 5.64%, respectively, indicating that the saccade velocity fluctuated greatly and the visual stability decreased during distracted driving. The distance from the fixation point coordinates to the centroid was divided into five intervals with a step size of 100px, and the information entropy calculation equation is shown as follows:where (bits) denotes the information entropy of fixation area (IEFA), is the percentage of the distance of the fixation point offset centroid in the th distance interval when the driver is in type driving state, , when , , is the number of intervals divided by distance, here . The authors declare that they have no conflicts of interest. Based on the objective weighting of indicators using the improved CRITIC method, the VSC was constructed to quantitatively characterize the visual stability of drivers in different driving states, and the K-means clustering method was used to divide the range of VSC values for four types of visual stability, and to comprehensively assess the safety level of driving states from the perspective of visual psychological safety. H. Ge, M. Zheng, N. Lyu, Y. Lu, and H. Sun, Review on driving distraction, Journal of Traffic and Transportation Engineering, vol. The full simulation simulator used in the test was the QJ-4B1 six-degree-of-freedom simulator developed by the French OKTAL Company. With more than 160,000 new driving events captured every 24 hours, Lytx clients benefit from the industrys most reliable and expansive data set to help them detect and reduce high-risk driving behaviors. Based on the improved CRITIC method, the weights of visual characteristics indicators in the two traffic conditions were calculated, respectively, and the calculation results are shown in Table 12. The data Lytx captures on a daily basis empowers drivers and fleets with the information necessary to help take their safety and productivity to new levels. 28, no. 295311, 2022. In fact, risky behavior associated with bad driving was found alarmingly prevalent among all age groups in the study. Percentage of VSC in each interval for different traffic conditions and driving states. In automated driving, risk describes potential harm to passengers of an autonomous vehicle (AV) and other road users. The weight of the evaluation indicator reflects its importance to the research object to a certain extent. Finally, the grey correlation analysis was used to quantify the sensitivity of three driving states affecting VSC under different traffic conditions, and the correlation degrees of different driving states were consistent with the variation rule of mean VSC, which further verified the validity of VSC on the risk assessment results of driving states. With each new video clip reviewed and processed, Lytxs AI algorithms become even more nuanced and accurate in identifying high-risk driving behaviors in real time, enabling a safer and more productive future for fleets and drivers alike. In summary, most of the current distracted driving research on cell phone operations focuses on traditional call methods. This value can be used as one of the indicators to measure the stability of the communication system. The one-way ANOVA was conducted on the RCPA, as shown in Table 10. R. Saha, M. T. Tariq, M. Hadi, and Y. Xiao, Pattern recognition using clustering analysis to support transportation system management, operations, and modeling, Journal of Advanced Transportation, vol. Copyright 2023 CarInsurance.com. N. Zhao, B. Reimer, B. Mehler, L. A. Traffic crashes are deadly and impose an enormous financial strain on American society. In the free flow, different types of cell phone call operations had the opposite influence on the IEFA, while the saccade amplitude, PARSV, and RCPA all showed an increasing trend compared to the normal driving state, and the above four types of indicators in congested flow all showed an increasing trend compared to normal driving. There were 697 drowsy-driving-related crashes in 2019, according to the NHTSA. The study shows that drivers How high-risk drivers can get lower car insurance rates, Speeding can affect your auto insurance rates, Do Not Sell or Share My Personal Information. This is quite a bold statement, I know, but it is pure science, the science of behavior. The equation for calculating the variation coefficient of the indicator is as follows:where denotes the variation coefficient of the th evaluation indicator, is standard deviation, and is the mean value. Similarly, the higher the information entropy of the drivers fixation area is, the more discrete the distribution of fixation points is, and vice versa, the more concentrated it is. A. Fernandez, R. Usamentiaga, J. L. Carus, and R. Casado, Driver distraction using visual-based sensors and algorithms, Sensors, vol. 11, p. 1805, 2016. Ages 60-74: 67.3 percent. Through AAA Foundation research, AAA is working to improve understanding of the topic and work collaboratively with safety stakeholders to reduce the impact of substance-impaired driving-related crashes. This risk-taking includes dangerous driving (e.g. The specific steps of the grey correlation analysis method in this study are as follows:(1)The decision matrix is constructed as follows:where , denotes the visual evaluation indicator data of the th driver in the th driving state, , . 1, p. 5262, 2022. The Governors Highway Safety Association has a map featuring drug-impaired driving laws nationwide. 54, no. Evaluation results of grey correlation analysis method. A. Kalinov, R. Bychkov, A. Ivanov, A. Osinsky, and D. Yarotsky, Machine learning-assisted PAPR reduction in massive MIMO, IEEE Wireless Communications Letters, vol. This work was supported in part by the Inner Mongolia Science and Technology Planning Project (2022YFSH0071). The original data of each evaluation indicator are standardized as follows:The standardized data matrix is constructed, as shown in the following equation:(3)Indicator variability analysis. The smartphones used in the driving missions were equipped with the WeChat chat application. * Subject to available cellular network coverage. In order to quantitatively characterize the influence of different types of cell phone calls operating on drivers' visual behavior and to analyze the level of risk state in the process of distracted driving from the visual level, three types of indicators except the IEFA were selected in free flow, and all four types of indicators were selected in the congested flow as the basis for evaluating the drivers driving risk level. The simulated cockpit adopted real vehicle control components and was modified from the BYD F3 car. About the Data Learn about the latest in fleet and compliance management through our comprehensive Resource Hub. 83, pp. X. Li, Z. Han, M. Yazdi, and G. Chen, A CRITIC-VIKOR based robust approach to support risk management of subsea pipelines, Applied Ocean Research, vol. Calculate the grey correlation coefficient. Distracted driving refers to the behavior of drivers who voluntarily or involuntarily allocate their attention to other secondary tasks unrelated to the main driving task during driving [1], causing drivers visual and cognitive resources to be occupied to varying degrees, reducing drivers environmental perception, decision-making ability, and Limited time offer. Recent studies suggest that human-like driving behavior emerges from embedding risk in AV motion planning algorithms. In the comprehensive evaluation of multiple indicators, different weighting methods will cause differences in the evaluation results, so it is necessary to choose the weighting methods scientifically and reasonably in combination based on the characteristics of the indicator and the research object [34]. Distracted driving led to 10,546 fatalities, 1.3 million nonfatal injuries and $98.2 billion in economic costs in 2019. A speeding ticket could also result in a driver losing their safe driving discount, increasing your rate. WebThe purpose of this chapter is to review and critique the literature on risky drinking, driving, and sexual behaviors. The saccade amplitude is the range covered by the line of sight from the beginning to the end of a saccade, usually expressed in degrees of view [48].
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