Accident Alert and Intensity Predictive System with Machine Learning Approach-Reference-Cited by-同舟云学术

Accident Alert and Intensity Predictive System with Machine Learning Approach

Published:2023 Issue: Volume: Page:565-574
ISSN:1876-1100
Container-title:Futuristic Communication and Network Technologies
language:
Short-container-title:

Author:

Ailneni Saiteja,Sangem Anurag,Sofana Reka S.

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-19-8338-2_47

Reference23 articles.

1. Singh R, Sharma R, Akram SV, Gehlot A, Buddhi D, Malik PK, Arya R (2021) Highway 4.0: digitalization of highways for vulnerable road safety development with intelligent IoT sensors and machine learning. Safety Sci 143:105407

2. Santos D, Saias J, Quaresma P, Nogueira VB (2021) Machine learning approaches to traffic accident analysis and hotspot prediction. Computers 10(12):157

3. Afolabi S, Warrie W, Banjo O, Iwashokun O, Olawale A, Ngqambela N, Matshika S (2021) When and where? Proactively predicting traffic accident in South Africa: our machine learning competition winning approach. Int J Soc Syst Sci 13(2):151–170

4. Goud V (2012) Vehicle accident automatic detection and remote alarm device. Int J Reconfig Embed Syst 1(2):49

5. Prabha C, Sunitha R, Anitha R (2014) Automatic vehicle accident detection and messaging system using gsm and gps modem. Int J Adv Res Electric Electron Instrum Eng 3(7):10723–10727

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Vechicular Accident Detection and Alert Generation Using IoT;2024 5th International Conference on Intelligent Communication Technologies and Virtual Mobile Networks (ICICV);2024-03-11