No abstract

Most of road accidents are caused by human error. To study these errors road safety researchers developed selfreported measures. DBQ (Driver Behaviour Questionnaire) is one of the most frequently used tools for studies carried out in scope of traffic psychology. It has become an international standard which is used by driver behaviour researchers, yet it is still quite unknown in Poland. The questionnaire describes aberrant behaviour of the drivers in two basic dimensions: errors and violations. The main purpose of following article is to present the theoretical principles underlying the human error model, structure of this tool and polish adaption of the questionnaire. Polish version of the DBQ has 32 items in total. Another aim of the study was to investigate the factorial structure of the DBQ presented in previous studies. The reported data included a sample of 467 drivers. Reliability coefficients were calculated for each scale and their value were around .80 representing high overall reliability. Our analysis indicates that the DBQ construct was fairly congruent with the one presented in the Swedish study. Behaviours were classified due to their factor loadings in following dimensions -violations, mistakes, inattention and inexperience. Seven behaviours have different factor loading, which indicates different psychological mechanism underlying these aberrations. Issues related to these findings are discussed.

The article presents the results of the road safety-targeted research on the influence of driving automation system interfaces, regarding the highway chauffeur scenario. The verification of multisensory test stand operation was planned through the research targeting transfer of control in a driving simulator. Such examination on one hand allowed to verify its efficiency as a whole (as well as its modules), while on the other hand it helped to answer a significant question regarding the efficient and time-minimizing communication form with driver through the HMI. One of the main analyzed, road safety-targeted parameters was time needed for taking over the control of the vehicle. The results of conducted experiment show that providing the RtI information using all interfaces available in the vehicle may not to be the most effective way. The examinees achieved the best results when informed through visual and auditory interfaces (t=3,84 s). The next stage of the research will cover the analysis of the maneuvers made after the control takeover.

No abstract

In L3–L4 vehicles, driving task is performed primarily by automated driving system (ADS). Automation mode permits to engage in non-driving-related tasks; however, it necessitates continuous vigilance and attention. Although the driver may be distracted, a request to intervene may suddenly occur, requiring immediate and appropriate response to driving conditions. To increase safety, automated vehicles should be equipped with a Driver Intervention Performance Assessment module (DIPA), ensuring that the driver is able to take the control of the vehicle and maintain it safely. Otherwise, ADS should regain control from the driver and perform a minimal risk manoeuvre. The paper explains the essence of DIPA, indicates possible measures, and describes a concept of DIPA framework being developed in the project.