Assessment of Driver’s Reaction Times in Diverisified Research Environments

Guzek, Marek; Lozia, Zbigniew; Zdanowicz, P.; Jurecki, Rafał; Stańczyk, Tomasz; Pieniążek, Wiesław

doi:10.2478/v10174-012-0010-8

Cited by 4 publications

(3 citation statements)

References 3 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Dixit [ 23 ] estimated the value of an automated vehicle’s reaction time to 0.8 s, while Guzek [ 24 ] provided the human driver’s reaction time on the brake pedal in the range between 1.2 and 2.2 s. We assume the difference in human-driven and automated vehicle’s reaction times of 1 s, a reasonable assumption commonly used in many studies, e.g., Schoettle [ 25 ]. However, it is worth noting that some studies, e.g., Rossi [ 26 ], point out that in the case when a driver has to take over the driving tasks from a Level 4 automated vehicle, the reaction time of the driver is, in fact, much larger than in the case of a manually driven vehicle.…”

Section: Framework For Assessment Of Physical and Digital Infrastruct...mentioning

confidence: 99%

Physical and Digital Infrastructure Readiness Index for Connected and Automated Vehicles

Cucor

Petrov

Kamencay

et al. 2022

Sensors

View full text Add to dashboard Cite

In this paper, we present an assessment framework that can be used to score segments of physical and digital infrastructure based on their features and readiness to expedite the deployment of Connected and Automated Vehicles (CAVs). We discuss the equipment and methodology applied for the collection and analysis of required data to score the infrastructure segments in an automated way. Moreover, we demonstrate how the proposed framework can be applied using data collected on a public transport route in the city of Zilina, Slovakia. We use two types of data to demonstrate the methodology of the assessment-connectivity and positioning data to assess the connectivity and localization performance provided by the infrastructure and image data for road signage detection using a Convolutional Neural Network (CNN). The core of the research is a dataset that can be used for further research work. We collected and analyzed data in two settings—an urban and suburban area. Despite the fact that the connectivity and positioning data were collected in different days and times, we found highly underserved areas along the investigated route. The main problem from the point of view of communication in the investigated area is the latency, which is an issue associated with infrastructure segments mainly located at intersections with heavy traffic or near various points of interest. The low accuracy of localization has been observed mainly in dense areas with large buildings and trees, which decrease the number of visible localization satellites. To address the problem of automated assessment of the traffic sign recognition precision, we proposed a CNN that achieved 99.7% precision.

show abstract

Section: Framework For Assessment Of Physical and Digital Infrastruct...mentioning

confidence: 99%

Physical and Digital Infrastructure Readiness Index for Connected and Automated Vehicles

Cucor

Petrov

Kamencay

et al. 2022

Sensors

View full text Add to dashboard Cite

show abstract

“…This means that the dynamic steering system provides an even steering ratio in all driving situations and also supports the ESP in certain driving situations. Thus, this intelligent system not only offers much greater driving and steering comfort, but also dramatically increases active driving safety [2]. The particular strengths of the The paper [19] describes some methods to analyze and predict the free and forced wave motion in continuous periodic engineering structures.…”

Section: Introductionmentioning

confidence: 99%

“…They are currently used for a growing number of purposes in the automotive industry, aviation, medicine, automatic control and robotics. Recently, used the new construction of harmonic drive in the first car from automobile manufacturer to use a dynamic steering system that achieves an optimum steering ratio, depending on the driving speed and angle of the steering wheel [2]. This means that the dynamic steering system provides an even steering ratio in all driving situations and also supports the ESP in certain driving situations.…”

Section: Introductionmentioning

confidence: 99%

Analysis of New Materials in Automotive Construction in Term of the Vibration Properties

Burdzik

Folęga²,

Konieczny³

et al. 2014

Acta Metall. Slovaca Conf.

View full text Add to dashboard Cite

The paper presented discussion on new materials in automotive construction in term of the vibration properties. Some application of simulation and numerical methods for analysis of new material properties in dynamic research of vehicle systems has been presented. The main object of the research was the analysis of influence of new materials used for automotive production on vibration generation, propagation and isolation. In the presented study, as the structural material for toothed flexsplines of harmonic drivers, a composite material based on an epoxy resin matrix reinforced with glass or carbon fibres was used. A preliminary numerical analysis of the material and structural solutions for the harmonic driver flexsplines assumed to be applied was conducted. It was presented possibilities of simulation research for purpose of comparison of different materials for chosen systems of vehicle.

show abstract

Niepewność w analizach wypadków na przykładzie zdarzeń z udziałem pieszych

Guzek

2022

PnD

Self Cite

View full text Add to dashboard Cite

W opiniowaniu dotyczącym wypadków drogowych zawsze będziemy mieli do czynienia z niepewnością wyników obliczeń. Celem artykułu jest przedstawienie wybranych aspektów związanych z oceną niepewności na przykładzie sytuacji zagrożenia potrącenia pieszego. Wykorzystując wyniki badań eksperymentalnych prowadzonych w symulatorze jazdy samochodem wskazano typowe zachowania kierowców w sytuacji zagrożenia w postaci wtargnięcia pieszego przed nadjeżdżający pojazd. Wykorzystując analogiczny scenariusz zdarzenia, prosty model analityczny i założone, ale realistyczne wartości parametrów opisujących kierowcę, pojazd i drogę przedstawione są obliczenia wybranych wskaźników opisujących sytuację biorąc pod uwagę niepewność. Do obliczeń niepewności wykorzystano metodę probabilistyczną Monte Carlo. Wyniki przedstawiono w postaci charakterystyk probabilistycznych długości drogi zatrzymania. Pokazano możliwość określenia przedziałów odległości potrzebnej do zatrzymania pojazdu z określonym poziomem ufności. Pokazano także prawdopodobieństwa wystąpienia potrącenia pieszego. Przedstawione wyniki wskazują z jednej strony na potrzebę uwzględniania niepewności w obliczeniach dotyczących analiz wypadkowych, a z drugiej na duże możliwości i korzyści przy stosowaniu metod probabilistycznych do oceny niepewności. Calculations uncertainty in accident analysis illustrated by events involving a pedestrian When preparing expert opinions on road accidents, we will always deal with the uncertainty of calculations results. The aim of the article is to present selected aspects related to the assessment of uncertainty, illustrated by the situation of the risk of hitting a pedestrian. Based on the results of experiments conducted in a car driving simulator, typical behaviors of drivers in the event of accident risk as in the case of a pedestrian’s intrusion in front of an oncoming vehicle are shown. Using an analogous event scenario, a simple analytical model, and assumed but realistic values of the parameters describing the driver, vehicle, and road, the calculations of selected indicators relating to the situation are presented, taking into account the uncertainty. The Monte Carlo probabilistic method was used to calculate the uncertainty. The results are presented as probabilistic characteristics of the stopping distance. The possibility of determining the distance intervals needed to stop the vehicle with a certain confidence level has been shown. The probabilities of hitting a pedestrian are also given. The presented results indicate, on the one hand, the need to take into account the uncertainty in the calculations of the analyses of accidents, and on the other hand, the great opportunities and benefits of using probabilistic methods to assess uncertainty.

show abstract

Assessment of Driver’s Reaction Times in Diverisified Research Environments

Cited by 4 publications

References 3 publications

Physical and Digital Infrastructure Readiness Index for Connected and Automated Vehicles

Physical and Digital Infrastructure Readiness Index for Connected and Automated Vehicles

Analysis of New Materials in Automotive Construction in Term of the Vibration Properties

Niepewność w analizach wypadków na przykładzie zdarzeń z udziałem pieszych

Contact Info

Product

Resources

About