Investigation on AI-Based Techniques in Applications for Detecting Fatal Traffic Accidents

Title

Investigation on AI-Based Techniques in Applications for Detecting Fatal Traffic Accidents

Creator

Patil H.P.; Upreti K.; Poonia R.C.

Description

The difficulties with road accident rates today rank among the top concerns for health and social policy in nations across the continents. In this essay, we've spoken about the fatalities and injuries brought on by traffic accidents in several Indian states. We have also shed light on the various factors that contribute to traffic accidents. Many researchers have reported various methods for identifying automobile crashes or accidents that are discussed in this work. Additionally, we covered collision avoidance systems and their various kinds. An examination of the analysis techniques used to comprehend the numerous causes causing accidents is also included in the study. Traditional models are frequently used to identify problems such driver weariness, drowsiness, driving while intoxicated, and distractions. 2023 IEEE.

Source

2023 3rd International Conference on Emerging Smart Technologies and Applications, eSmarTA 2023

Date

2023-01-01

Publisher

Institute of Electrical and Electronics Engineers Inc.

Subject

IoT; Road Accidents; Smart vehicle systems and Accident detection systems; Traffic

Coverage

Patil H.P., Symbiosis Skills and Professional University, Dept. of Mechatronics, Pune, India; Upreti K., CHRIST(Deemed to Be University), Dept. of Computer Science, Ghaziabad, India; Poonia R.C., CHRIST(Deemed to Be University), Dept. of Computer Science, Ghaziabad, India

Rights

Restricted Access

Relation

ISBN: 979-835030533-3

Format

Online

Language

English

Type

Conference paper

Identifier

https://doi.org/10.1109/eSmarTA59349.2023.10293467

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85178142009&doi=10.1109%2feSmarTA59349.2023.10293467&partnerID=40&md5=1ffedf00e66cfc460f3942ec032537e8