Desing of Intelligent Interface

Authors

  • Victor Sineglazov National Aviation University, Kyiv, Ukraine https://orcid.org/0000-0002-3297-9060
  • Daniil Dynikov National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”

DOI:

https://doi.org/10.18372/1990-5548.75.17544

Keywords:

intelligent interface, vehicles, sensor, processor, software, passenger safety, route optimization

Abstract

This work is devoted to the principles of building intelligent interfaces, which are a set of technologies and tools that allow for automated control of a vehicle, monitoring the state of the driver and passengers, as well as optimizing the route and travel planning. The need to develop interfaces that can exchange information with other vehicles and smart infrastructure has been identified. The paper classifies different types of interfaces and analyzes their composition. The structure of the intelligent interface is defined, which includes: sensors, processor, software, user interface, actuators. The analysis of existing intellectual interfaces is made. The list of stages of creating intelligent interfaces is given. It is shown that in the future, intelligent interfaces will be more personalized, interactive and adaptive, as well as provide safety and reduce driver distraction.

Author Biographies

Victor Sineglazov , National Aviation University, Kyiv, Ukraine

Doctor of Engineering Science. Professor. Head of the Department

Aviation Computer-Integrated Complexes Department

Faculty of Air Navigation Electronics and Telecommunications

Daniil Dynikov , National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”

Bachelors student

Faculty of Informatics and Computer Science

References

R. Arora, S. Ghai, S. Singh, and S. Juneja, "Intelligent transportation systems: A review of recent advancements and challenges," Computer Communications, 23(7), 3752; 2020. https://doi.org/10.3390/s23073752

K. Lai, S. Y. Lam, & K. H. Yuen. "An overview of intelligent transport systems (ITS) and their applications," IEEE Transactions on Intelligent Transportation Systems, 19(3), 2018, pp. 969–981.

B. A. Stankovic, N. H. Mahmoodi, & C. V. Verikoukis, "The future of connected autonomous vehicles: A survey," IEEE Internet of Things Journal, 5(6), 4655–4670, 2018.

S. S. Rathore, M. A. Iqbal, & A. James, "A review of smart homes – Past, present, and future," IEEE Transactions on Systems, Man, and Cybernetics: Systems, 46(2), pp. 161-186, 2016.

H. Chen, & J. Chen, "The development of intelligent vehicle interface: From conceptual design to real-world application," International Journal of Human-Computer Studies, 138, 102397, 2020. https://doi.org/10.1016/j.ijhcs.2020.102397

J. Zhang, H. Yu & Y .Shu, "Human-Machine Interaction for Autonomous Vehicles: A Review" International Conference on Human-Computer Interaction, 17(5), 2021, https://www.researchgate.net/publication/352939854_Human-Machine_Interaction_for_Autonomous_

Vehicles_A_Review

Y. Wang, & D. Wang, "An Edge Traffic Flow Detection Scheme Based on Deep Learning in an Intelligent Transportation System." IEEE Transactions on Intelligent Transportation Systems, 20(3), 1840-1852, 2019. https://ieeexplore.ieee.org/document/9210731/

T. Ba, S. Li, Y. Gao & S. Wang "Design of a Human–Computer Interaction Method for Intelligent Electric Vehicles" IEEE Access, 6, 2022. https://doi.org/10.3390/wevj13100179

V. Nagy, G. Kovács, P. Földesi, D. Kurhan, M. Sysyn, S. Szalai & S. Fischer, "Testing Road Vehicle User Interfaces Concerning the Driver’s Cognitive Load" Topological manifold embedding and learning for structural health monitoring, 2023, 8(3), 49. https://doi.org/10.3390/infrastructures8030049

X. Qiao, N. Zhang, J. Feng, & X. Wang, "Review of intelligent fault diagnosis for permanent magnet synchronous motors in electric vehicles," Advances in Mechanical Engineering, 13(1), 1687814020944323. 2014 https://doi.org/10.1177/1687814020944323

Downloads

Published

2022-03-26

Issue

Vol. 1 No. 75 (2023)

Section

COMPUTER SCIENCES AND INFORMATION TECHNOLOGIES

License

Authors who publish with this journal agree to the following terms:

Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.

Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.

Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).