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Ing. Libor Topol

2024, Neural Network World, 34 (5), p. 279-291), ISSN 1210-0552

This study explores the development and evaluation of external human-machine interfaces (eHMI) for communication between autonomous vehicles (AVs) and pedestrians. By employing advanced virtual reality (VR) simulations and leveraging behavioral data from 600 survey respondents, the research examines the intelligibility and effectiveness of seven eHMI prototypes. The experiments utilized eye-tracking and spatial analysis to measure pedestrian response to AV signals in realistic virtual environments. The findings emphasize the potential of LED strip-based communication interfaces, demonstrating their superiority in terms of visibility, clarity, and implementation cost. This research contributes to the broader field of artificial intelligence applications in transportation, with a focus on ensuring safety and trust in autonomous systems interacting with vulnerable road users.

2024, Driver-Car Interaction and Safety Conference 2023, Praha, České vysoké učení technické v Praze), p. 121-124), ISBN 978-80-01-07387-2, ISSN 2336-5382

Novice drivers between the ages of 18 and 24 have a higher risk of accidents, which results from long-term published statistical data. The goal of training at driving schools should be the comprehensive preparation of future drivers for all traffic situations under various weather conditions. Using vehicle simulators allows this practice and training of future drivers, which can be fulfilled and practiced in all weather conditions. Moreover, the vehicle simulator practice can be subsequently (machine) evaluated. Based on the analysis of such driving, complex erudition and readiness of the future driver behavior in real road traffic can be achieved. This article discusses the capabilities of simulator software that can be applied to the education and training of future drivers. The article aims to present possibilities of evaluation software and related practical use in driver education in driving schools. At the end of the article, the expected benefits in the design of the evaluation software for the vehicle simulator are discussed, emphasizing road safety in the education of future drivers.

2023, Young Transportation Engineers Conference 2022, Praha, České vysoké učení technické v Praze), p. 79-82), ISBN 978-80-01-07224-0, ISSN 2336-5382

This paper describes development of an innovative advanced driving simulator (ADS), that will be implemented into the driver education process as a method to improve education of students and thus their readiness to enter everyday traffic. ADS will allow the driving school students to get more practice in general vehicle control, unusual situation solving and use of modern assistant systems, as well as objectively evaluate student’s skills by the instructor. As a conclusion, expected outcomes of innovative simulator design and results validation possibilities are discussed.

2021, Driver-Car Interaction and Safety Conference 2021 - Book of Abstracts, Praha, Fakulta dopravní)

This article is dealing with the proposal to use Advanced Driving Simulators (ADS) in driving schools as a legal substitution for some portion of real driving lessons, with a practical lessons in control virtually environment. It describes the history of the ADS development and application, following with the description of current legal requirements and restrictions, and proposes measures and improvements needed for the existing ADS to increase the hours students can practice on the ADS and describes advantages of this approach. It provides an overall description of changes needed to be performed for hardware and software layers of ADS, including description of possible scenarios to increase student level of preparation.

2017, DRIVE-CAR INTERACTION & SAFETY CONFERENCE, Praha, České vysoké učení technické v Praze), p. 112-115), ISBN 978-80-01-06336-1, ISSN 2336-5382

Different types of dangerous driver's behavior are discussed in this paper. Case study analysis of young drivers' hazardous behavior is also provided from authors' practices. The practical research is collaborated with the statistical data that aggressive driving induces the number of fatalities on the roads in the Czech Republic by 25%. The improvement to driver's training and other countermeasures is then suggested.