A bee colony optimization (BCO) and type-2 fuzzy approach to measuring the impact of speed perception on motor vehicle crash involvement

Čubranić-Dobrodolac, Marjana; Švadlenka, Libor; Čičević, Svetlana; Trifunović, Aleksandar; Dobrodolac, Momčilo

doi:10.1007/s00500-021-06516-4

Cited by 19 publications

(16 citation statements)

References 99 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The best and the fastest ways for influencing youth road safety behavior are by conducting well organized road safety campaigns among young people. Results of this study identified the main unsafe behaviors among young people, and also showed that males are more unsafe than females and that there are not large differences between urban and rural populations (which is in accordance with the results of the study [37][38][39][40]; these results suggest the following possible road safety campaigns:…”

supporting

confidence: 89%

Youth Perceptions and Attitudes towards Road Safety in Serbia

Pešić

Stephens

Newnam

et al. 2022

Systems

Self Cite

View full text Add to dashboard Cite

Road traffic crashes are a leading cause of death for young people. Aberrant driver behaviors, such as drink driving, speeding, not wearing seatbelts, non-compliance with traffic rules and aggressive driving, are key contributors to these crashes. Gender and urban/rural differences are also risk factors. In Serbia, where this study was conducted, as well as in most European countries, younger people have the highest road crash and fatality risk. Thus, it is important to understand not only when these behaviors occur, but also the attitudes surrounding them. The latter will provide an avenue for intervention. To address this, a mixed design study was conducted, using a quantitative survey, focus groups and in-depth interviews to understand the attitudes and safety behaviors of young people (aged 16–25) in Serbia. Results across all methods showed that attitudes and perceptions regarding road safety differ across gender and location (urban/rural). Young drivers reported frequent engagement in alcohol-impaired driving, speeding, non-using seatbelts and using mobile phones while driving. Dominant attitudes underlying these behaviors related to lower perceived risk and a lack of perceived enforcements. These results show support for education campaigns in improving the risky behavior of young drivers.

show abstract

supporting

confidence: 89%

Youth Perceptions and Attitudes towards Road Safety in Serbia

Pešić

Stephens

Newnam

et al. 2022

Systems

Self Cite

View full text Add to dashboard Cite

show abstract

“…It was found that individuals involved in more than three accidents perceived driving on roads as less risky (Ngueutsa & Kouabenan, 2017). Furthermore, a previous study showed that poor speed perception, both of one's own vehicle and of vehicles approaching from behind, increases the risk of motor vehicle accidents ( Čubrani c-Dobrodolac et al, 2022). This suggests that inaccurate perceptions of both risk and speed critically influences road safety.…”

Section: Discussionmentioning

confidence: 99%

Decoding the dynamic perception of risk and speed using naturalistic stimuli: A multivariate, whole‐brain analysis

Ju,

Wallraven

2024

Human Brain Mapping

View full text Add to dashboard Cite

Time‐resolved decoding of speed and risk perception in car driving is important for understanding the perceptual processes related to driving safety. In this study, we used an fMRI‐compatible trackball with naturalistic stimuli to record dynamic ratings of perceived risk and speed and investigated the degree to which different brain regions were able to decode these. We presented participants with first‐person perspective videos of cars racing on the same course. These videos varied in terms of subjectively perceived speed and risk profiles, as determined during a behavioral pilot. During the fMRI experiment, participants used the trackball to dynamically rate subjective risk in a first and speed in a second session and assessed overall risk and speed after watching each video. A standard multivariate correlation analysis based on these ratings revealed sparse decodability in visual areas only for the risk ratings. In contrast, the dynamic rating‐based correlation analysis uncovered frontal, visual, and temporal region activation for subjective risk and dorsal visual stream and temporal region activation for subjectively perceived speed. Interestingly, further analyses showed that the brain regions for decoding risk changed over time, whereas those for decoding speed remained constant. Overall, our results demonstrate the advantages of time‐resolved decoding to help our understanding of the dynamic networks associated with decoding risk and speed perception in realistic driving scenarios.

show abstract

“…The simulated driving experiment can not only collect the required data quickly and accurately but also explore more extreme driving conditions while ensuring driver safety [39]. Čubranić-Dobrodolac et al [40] used a simulator with three LCD monitors, three connected computers, and a driver cockpit to study driving behaviors. Yujia Liu et al [41] built a detachable small and medium-sized test rig based on the Unity3D platform and a driving simulator.…”

Section: Vehicle Simulated Driving Experimentsmentioning

confidence: 99%

Usability Evaluation of Co-Pilot Screen Based on Fuzzy Comprehensive Evaluation Method

Wang

et al. 2023

WEVJ

View full text Add to dashboard Cite

In this study, the usability evaluation model is constructed for a co-pilot screen, and an analysis of the impact factors and optimization recommendations is made based on the evaluation results. Firstly, based on the usability design principles, interaction ease, interaction efficiency, visual comfort, driving safety, and their corresponding secondary indicators are defined, and the subjective weight of each indicator is determined using the analytic hierarchy process (AHP). Then, usability evaluation is carried out on four vehicles via vehicle driving simulated experiments and driving experiments on the road, and the objective weight of the indicators is determined using the CRITIC method. Finally, the usability evaluation model for co-pilot screens is established by applying the fuzzy comprehensive evaluation method. The results indicate that the overall usability comprehensive score of co-pilot screens is convergent and is mainly concentrated in the range of 50–65 points, with two vehicles having excellent affiliation and two vehicles having average affiliation. However, there is a great distance still to reach when compared to an excellent level. The usability evaluation model of co-pilot screens established in this article can quantify the HMI usability design of co-pilot screens. The results of this study are significant for the four tested vehicles in terms of guiding the usability design of co-pilot screens and in promoting the rapid iteration of co-pilot screen development. And a production vehicle that connects a driving simulation platform and the usability evaluation model can be used to test and evaluate more screen designs, interaction models, tasks, and infotainment applications, thus guiding further user experience designs.

show abstract

A bee colony optimization (BCO) and type-2 fuzzy approach to measuring the impact of speed perception on motor vehicle crash involvement

Cited by 19 publications

References 99 publications

Youth Perceptions and Attitudes towards Road Safety in Serbia

Youth Perceptions and Attitudes towards Road Safety in Serbia

Decoding the dynamic perception of risk and speed using naturalistic stimuli: A multivariate, whole‐brain analysis

Usability Evaluation of Co-Pilot Screen Based on Fuzzy Comprehensive Evaluation Method

Contact Info

Product

Resources

About