Driver Behavior

This study deals with the use (and misuse) of music in modern Greek public transport, particularly in the long-distance buses, commonly known as KTEL (from their acronym). In short, Greek drivers seem to impose their own repertoire, often loudly, through speakers on passengers, who are not able (or willing) to react efficiently. This happens despite official restrictions by the Ministry of Transport on the public use of music both for drivers and passengers. This phenomenon, allied with other incidents of inappropriate treatment of passengers, has been seen by the latter as a display of power or a sign of indifference. It is also connected with other (occasional) violations by some drivers, such as smoking and talking on mobile phone (both prohibited by the law). Furthermore, the use of music is placed in the broader context of musical entertainment in modern-Greek daily life. This is probably the first such study in Greek bibliography, and among the few in international bibliography, where the issue has recently been taken up. Although I was not allowed to take formal interviews, I managed to talk to several passengers (and to a lesser extent to drivers) and keep detailed notes on the spot. Therefore, my study may be said to employ the method of autoethnography, since I have been a regular passenger for several years.

In driving simulators, the realism of road traffic takes an important part in users immersion. It relies upon different elements, and in particular o n the decision model of autonomous vehicles and the variety and consistency of their behaviors. In this paper, we describe the new traffic module of SCANeRTM, which includes important improve ments. New behavioral parameters have been introduced to take into account informal rules in the vehicles decisions. In addition, the dynamic model of the autonomous vehicles was en hanced to realistically render additional properties. Finally, a specific model takes into ac count the variety and consistency of drivers behaviors, which are crucial elements of the realis m. Its implementation in the software is described, and the improvements it introduces are d emonstrated using experimental results. DSC 2009 Europe – Monaco – 4 – 6 February 2009

Introduction: In recent years, driver's drowsiness has been one of the leading causes of road accidents, which can lead to physical injuries, death, and significant economic losses. Statistics show that an efficient system is needed to detect the driver's drowsiness, that gives the necessary warning before an unfortunate event occurs. Therefore, this review study was conducted to investigate the studies on driver's drowsiness sensors and to present a combination of diagnostic methods and an efficient model design. Material and Methods: This narrative review study was conducted through a systematic search using "driver" and "drowsiness detection" as search keywords in indexing databases including Scopus, PubMed, and web of sciences. The search encompassed the latest related researches conducted in this field from 2010 to September 2020. The reference lists were also reviewed to find further studies. Results: In general, researchers evaluate driver's drowsiness using three methods including vehicle-based measurement, behavioural measurement, and physiological measurement. The details and how these measurements are made make a big difference to the existing systems. In this study, which is a narrative review, the three mentioned measurements were examined using sensors and also the advantages and limitations of each were discussed. Real and simulated driving conditions were also compared. In addition, different ways to detect drowsiness in the laboratory were examined. Finally, after an analytical comparison of the methods of diagnosing drowsiness, a diagram was presented based on which an efficient and combined model was developed. Conclusion: Taking into account the limitations of each of the methods, we need a combination of behavioural, performance, and other measures to have an efficient drowsiness diagnosing model. Such model must be tested using simulations and in real world situations.

In Boolean logic the truth-value can be 0 or 1. As against this in fuzzy logic, the truth-values of variables may be between 0 to 1 with 0 & 1 being extreme cases. Fuzzy logic finds its application in washing machine, air conditioner, kitchen applications, car control systems, image processing, decision-making, car control systems, Aerospace vehicle control system, etc. One such application, which we are taking under consideration in this paper, is automatic car driving system. This paper describes an automatic car driving system in which the vehicle keeps a distance from the vehicle in front of it and applies break using fuzzy logic. Another parameter is if the car detects object/vehicle in a certain range, it changes it lane and overtakes the object/vehicle and returns to its original lane. The major problem faced by automatic car is the level of assurance of the vehicle in front of it. Therefore, to budge vehicle computers further observing and into jobs related to environment di...

A motorcycle observation and awareness guide for drivers, prepared to inform and encourage a new approach to motorcycle rider awareness and road safety in Victoria, Australia. The guide will assist drivers to better understand the importance of sharing roads with motorcycles.

Artikel ini membahas masalah intoleransi di jalan raya yang semakin meresahkan dan mempengaruhi banyak aspek kehidupan sehari-hari kita. Kendaraan bermotor yang bergerak di jalan raya adalah simbol mobilitas yang vital dalam masyarakat modern. Intoleransi di jalan raya mencakup berbagai perilaku seperti penggunaan klakson berlebihan, pemberian isyarat kasar, dan perilaku agresif. Artikel ini juga menguraikan dampak intoleransi terhadap keselamatan di jalan raya dan faktor-faktor yang memicu perilaku intoleran, seperti stres, ketidakpedulian terhadap kesadaran mengemudi, dan budaya lalu lintas yang buruk. Kesantunan di jalan raya ditekankan sebagai kunci untuk menciptakan lingkungan jalan raya yang lebih aman dan efisien. Artikel ini juga menguraikan contoh tindakan kesantunan yang dapat diterapkan pengemudi, seperti menggunakan klakson dengan bijak, memberikan isyarat dengan sopan, dan menghindari perilaku agresif. Terakhir, artikel ini membahas berbagai pendekatan dalam mengatasi intoleransi di jalan raya, termasuk kampanye kesadaran, hukum dan sanksi, serta peran komunitas. Kesimpulannya, upaya bersama untuk menciptakan jalan raya yang lebih aman dan toleran memerlukan kolaborasi dari semua pihak.

The study examined the relationship between risk perception and driver characteristics among haulage companies' drivers in River State, Nigeria. A total of 210 copies of the questionnaire were administered among 20 haulage companies, and the retrieved questionnaire was analysed using descriptive and inferential statistics such as frequency counts, percentage and spearman rank. On the drivers’ characteristics, the outcome showed that respondents were driving haulage vehicles in the last 6-10 years (62.9%) and driving 13-16 hours (67.6%) in one trip (86.2%). The analysis revealed that most respondents disagreed with various risk perceptions, such as the skills required for handling haulage vehicles are similar to that of other vehicles (91.9%), and anyone with driving experience can handle haulage vehicles (86.7%). The Spearman Rank analysis revealed that there was no significant relationship between risk perception index and years of driving haulage vehicle (where p-value > 0....

Not keeping an adequate safe distance is one of the elements that are directly related to traffic accidents. The main objective of this research was to identify the aspects that modulate the safe distance-accidents relation. Specifically, the frequency and reasons why drivers do not keep the safe distance, the perception of drivers regarding the probability of penalty, the penalties imposed and their severity, and the drivers’ opinion on the effectiveness of such penalties in order to change this behavior. A questionnaire was administrated to a sample of 1,100 Spanish drivers having any kind of driving license. The results showed that only the 5,6% of drivers always or sometimes do not keep the safe distance. Among the specific reasons, the traffic conditions and congestions and drivers not realizing they were not keeping a safe distance were the most frequent ones. Likewise, drivers perceived that the probability of being caught (sanctioned) as a consequence of this misbehavior is ...

Centerline Rumble Strips (CLRS) are used to avoid cross-over roadway departures, making rural highways safer. The objectives of this study were to obtain nationwide, updated information about states’ policies and guidelines for utilization of CLRS and to provide a list of gaps in research along with good practices. Results indicate that 36 states reported the use of CLRS. The total CLRS approximate mileage is 11,333 miles. The predominant CLRS pattern is: milled, length 16”, width 7”, depth 0.5”, spacing 12”, continuous. This survey reported that 17 states have written policies or guidelines. A list of good practices used by the states is presented.

Driving behavior is considered one of the most important factors in all road crashes, accounting for 40% of all fatal and serious accidents. Moreover, aggressive driving is the leading cause of traffic accidents that jeopardize human life and property. By evaluating data collected by various collection devices, it is possible to detect dangerous and aggressive driving, which is a huge step toward altering the situation. The utilization of driving data, which has arisen as a new tool for assessing the style of driving, has lately moved the concentration of aggressive recognition research. The goal of this study is to detect dangerous and aggressive driving profiles utilizing data gathered from motorcyclists and smartphone APPs that run on the Android operating system. A two-stage method is used: first, determine driver profile thresholds (rules), then differentiate between non-aggressive and aggressive driving and show the harmful conduct for producing the needed outcome. The data we...

Two studies investigated the concept of following a lead vehicle as a navigational aid. The first video-based study (n=34) considered how drivers might use a real-world lead vehicle as a navigational aid, whist the second simulator-based study (n=22) explored how an Augmented Reality (AR) virtual car, presented on a head-up display (HUD), may aid navigation around a complex junction. Study 1 indicated that a lead vehicle is most valued as a navigation aid just before/during a required maneuver. During the second study the dynamic virtual car (which behaved like a real vehicle) resulted in greater confidence and lower workload than a static virtual car that “waits” at the correct junction exit, but resulted in more gaze concentration. It is concluded that a virtual car may be a valuable element of a navigation system, in combination with other forms of information, to completely fulfil all a driver's navigational task requirements.