Research on the Application of Reverse Technology in Traffic Accident Treatment

Li Feng, Fei He, Jiaxin Wang, Guizhi Zhang

2020

Abstract

In recent years, frequent traffic accidents have led to the decline or even interruption of traffic capacity, which has brought huge economic and life and property losses to the society, which has higher requirements for traffic survey. It is found that the traffic jams will be reduced by about 5 minutes every 1 minute fast in dealing with traffic accidents, thus indirectly reducing economic losses. Therefore, using advanced technology to deal with the traffic accident scene quickly is of great significance to solve the problems in traffic accident scene investigation. In this paper, how to quickly and effectively explore the scene of major traffic accidents is the goal. On the premise of accurate investigation and proper disposal of traffic accidents, reverse technology is introduced to restore the scene of traffic accidents.

Paper Citation

in Harvard Style

Feng L., He F., Wang J. and Zhang G. (2020). Research on the Application of Reverse Technology in Traffic Accident Treatment.In Proceedings of the International Symposium on Frontiers of Intelligent Transport System - Volume 1: FITS, ISBN 978-989-758-465-7, pages 12-16. DOI: 10.5220/0010003000120016

in Bibtex Style

@conference{fits20,
author={Li Feng and Fei He and Jiaxin Wang and Guizhi Zhang},
title={Research on the Application of Reverse Technology in Traffic Accident Treatment},
booktitle={Proceedings of the International Symposium on Frontiers of Intelligent Transport System - Volume 1: FITS,},
year={2020},
pages={12-16},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010003000120016},
isbn={978-989-758-465-7},
}

in EndNote Style

TY - CONF

JO - Proceedings of the International Symposium on Frontiers of Intelligent Transport System - Volume 1: FITS,
TI - Research on the Application of Reverse Technology in Traffic Accident Treatment
SN - 978-989-758-465-7
AU - Feng L.
AU - He F.
AU - Wang J.
AU - Zhang G.
PY - 2020
SP - 12
EP - 16
DO - 10.5220/0010003000120016