Forecasting the Traffic Situation as a Possible Way to Improve the Effectiveness of ADAS in Urban Environment
The article deals with the issue of increasing of accidents involving personal mobility devices (PMDs). The official statistics of road accidents for 2023 is given. Special attention is paid to the study of the types of road accidents. Attention is focused on the increase in accidents involving personal mobility equipment, especially e-scooters for hire. The issue of taking measures to reduce the number of such road accidents is being raised. As a solution to the problem, the concept of a modified algorithm of functioning of the automatic emergency braking system (AEBS) is proposed, which is able to predict the behavior of road users using PMD and, thus, to reduce the probability of a possible collision of the car with them. Technical prerequisites for the creation of such an algorithm are given. The main elements that are included in the improved algorithm are also given, as well as their brief description.
Authors
- A. N. Andreev (ORCID: https://orcid.org/0000-0001-7878-5846)
- Ph. K. Dyakov
- M. A. Toporkov (ORCID: https://orcid.org/0000-0002-6932-1860)
- M. I. Alexeenkov
Institutions
- Moscow Automobile and Road Construction State Technical University (RU)
Publication Details
- Published
- 2024-11-13
- DOI
- https://doi.org/10.1109/tirved63561.2024.10769885
- Citations
- 1
- Primary Topic
- Transportation Systems and Logistics
- Type
- article
- Field-Weighted Citation Impact
- 0.26