Exploring the Informal Communication of Driver-to-Driver on Roads: A Case Study of Durban City, South Africa.

Road traffic fatality is rated as one of the ten causes of death in the world and with various preventive measures on a global level, this prediction is only placed on flat terrain and didn’t reduce. Nevertheless, road users’ communication is an essential key to traffic safety. This communication, be it formal or informal between the road users is an important factor for smooth traffic flow and safety. Communication language on roads can be categorized into; formal device-based signal (formal signal), formal hand signal (formal signal), informal device-based signal (informal signal), and informal gesture-based signal (everyday signal). However, if the intent of the message conveys is not properly understood by the other road user, mistakes and errors may set in. Overall, the formal signal is based on explicit learning which occurs during the driving training and the license testing process and the informal, implicit learning occur during the actual driving process on the road unintentionally. Furthermore, since the informal signal is not a prerequisite to driving or taught in driving schools, novice drivers are clueless and thus, might have contributed to errors and mistakes which leads to traffic fatalities. Therefore, this study seeks to document the informal means of communication between drivers on South African roads. Consequently, a qualitative semi-structured interview questionnaire would be used in the collection of informal signals, which were predominantly used on South African roads from driving instructors and thereafter, a focus group of passengers’ car, commercial and truck drivers will be used to validate the availability and their understanding of these informal signals using a Likert-type scale for the confidence level. In conclusion, the information gathered from this study will help improve road safety and understanding of road users especially drivers on the necessity of communication and possible adaptation for other developing countries.

Exploring the Informal Communication of Driver-to-Driver on Roads: A Case Study of Durban City, South Africa

Road traffic fatality is rated as one of the ten causes of death in the world and with various preventive measures on a global level, this prediction is only placed on flat terrain and didn’t reduce. Nevertheless, road users’ communication is an essential key to traffic safety. This communication, be it formal or informal between the road users is an important factor for smooth traffic flow and safety. Communication language on roads can be categorized into; formal device-based signal (formal signal), formal hand signal (formal signal), informal device-based signal (informal signal), and informal gesture-based signal (everyday signal). However, if the intent of the message conveys is not properly understood by the other road user, mistakes and errors may set in. Overall, the formal signal is based on explicit learning which occurs during the driving training and the license testing process and the informal, implicit learning occur during the actual driving process on the road unintentionally. Furthermore, since the informal signal is not a prerequisite to driving or taught in driving schools, novice drivers are clueless and thus, might have contributed to errors and mistakes which leads to traffic fatalities. Therefore, this study seeks to document the informal means of communication between drivers on South African roads. Consequently, a qualitative semi-structured interview questionnaire would be used in the collection of informal signals, which were predominantly used on South African roads from driving instructors and thereafter, a focus group of passengers’ car, commercial and truck drivers will be used to validate the availability and their understanding of these informal signals using a Likert-type scale for the confidence level. In conclusion, the information gathered from this study will help improve road safety and understanding of road users especially drivers on the necessity of communication and possible adaptation for other developing countries.

Study on Risk Tolerance of Passenger Car Drivers Aged 18–25

A universal problem of the impact of behaviour of less experienced young drivers on the rate of road accidents referring to the Russian Federation in comparison to other countries.In the Russian Federation, in recent years, there has been a decrease in the total number of road accidents and in the number of deaths in them. This speaks of the effective preventive work of the traffic police and other related services, but at the same time, a fairly large number of car accidents persists.One problem is the high incidence of accidents among inexperienced young drivers. According to research conducted in different countries, the likelihood of road accidents is especially high during the first year after obtaining a driver’s license. The overwhelming majority of drivers responsible for road accidents with less than six months of driving experience belong to the age category of 18–25 years. One of the main reasons for the increased likelihood of road accidents is their excessive risk inclination.It is obvious that risky driving is common in young people, which also affects the operation of the car. Risk inclination is directly related to the number of errors made, which significantly increases the likelihood of an accident.Objective of the work was to assess the risk tolerance among drivers aged 18–25 years. Research methods comprise a survey of young people of the indicated age and the analysis of the results obtained. The figures obtained during the survey indicate that the majority of respondents (82 %) have a «mean level of risk tolerance». But there are also quite a few «risky drivers» (15 %). Moreover, these 15 % are in the youngest age group from 18 to 21 years old. Based on the results of the work, it is proposed: during training at a driving school, the future driver should receive not only theoretical knowledge and practical driving lessons, but also undergo a psychological analysis to determine his fitness to participate in road traffic; introduce certain restrictions «for young and novice drivers» into the Road Traffic Regulations. It is necessary to limit the permitted power of the car and the permissible speed (adoption of a multiplying coefficient for fines for speeding), prohibit the use of the car in the dark and in difficult road conditions, as well as passenger transportation.

Insights into Factors Affecting Traffic Accident Severity of Novice and Experienced Drivers: A Machine Learning Approach

Traffic accidents have significant financial and social impacts. Reducing the losses caused by traffic accidents has always been one of the most important issues. This paper presents an effort to investigate the factors affecting the accident severity of drivers with different driving experience. Special focus was placed on the combined effect of driving experience and age. Based on our dataset (traffic accidents that occurred between 2005 and 2021 in Shaanxi, China), CatBoost model was applied to deal with categorical feature, and SHAP (Shapley Additive exPlanations) model was used to interpret the output. Results show that accident cause, age, visibility, light condition, season, road alignment, and terrain are the key factors affecting accident severity for both novice and experienced drivers. Age has the opposite impact on fatal accident for novice and experienced drivers. Novice drivers younger than 30 or older than 55 are prone to suffer fatal accident, but for experienced drivers, the risk of fatal accident decreases when they are young and increases when they are old. These findings fill the research gap of the combined effect of driving experience and age on accident severity. Meanwhile, it can provide useful insights for practitioners to improve traffic safety for novice and experienced drivers.

The practical part of train driver education: experience, expectations, and possibilities

Objectives The internship period of the Swedish train driver education was examined in terms of which types of situations can be sufficiently encountered in order to develop expertise to handle them safely and efficiently, and to quantify and specify the gap in expertise between expert and novice drivers in terms of risk of error and time efficiency. Focus was on special cases (i.e., situations that occur rarely but may cause severe accidents if not handled correctly and efficiently). Methodology Data on which situations and special cases a driver's student can be expected to experience during the internship period were collected via a web-based questionnaire. Also, ratings of expectations on novice and expert drivers were obtained from train driver educators, employers, and instructors with the purpose of comparing the expectations with the novices practical experience. Results and conclusions The main results suggest that many special cases are generally insufficiently practiced during the internship and therefore should be practiced in simulators; that both experienced and novice drivers prioritize safety over efficiency; and that expectations on novice drivers are realistic considering their limited professional expertise.

Anticipatory Driving in Automated Vehicles: The Effects of Driving Experience and Distraction

Objective To understand the influence of driving experience and distraction on drivers’ anticipation of upcoming traffic events in automated vehicles. Background In nonautomated vehicles, experienced drivers spend more time looking at cues that indicate upcoming traffic events compared with novices, and distracted drivers spend less time looking at these cues compared with nondistracted drivers. Further, pre-event actions (i.e., proactive control actions prior to traffic events) are more prevalent among experienced drivers and nondistracted drivers. However, there is a research gap on the combined effects of experience and distraction on driver anticipation in automated vehicles. Methods A simulator experiment was conducted with 16 experienced and 16 novice drivers in a vehicle equipped with adaptive cruise control and lane-keeping assist systems (resulting in SAE Level 2 driving automation). Half of the participants in each experience group were provided with a self-paced primarily visual-manual secondary task. Results Drivers with the task spent less time looking at cues and were less likely to perform anticipatory driving behaviors (i.e., pre-event actions or preparation for pre-event actions such as hovering fingers over the automation disengage button). Experienced drivers exhibited more anticipatory driving behaviors, but their attention toward the cues was similar to novices for both task conditions. Conclusion In line with nonautomated vehicle research, in automated vehicles, secondary task engagement impedes anticipation while driving experience facilitates anticipation. Application Though Level 2 automation can relieve drivers of manually controlling the vehicle and allow engagement in distractions, visual-manual distraction engagement can impede anticipatory driving and should be restricted.