Smart Traffic Monitoring and Alert System Using VANET and Deep Learning

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Smart Traffic Monitoring and Alert System Using VANET and Deep Learning

Taneja, Manik / Garg, Neeraj

Road accidents have been a major contributing factor in the loss of approximately 1.35 million people every year. Ranging from 20 to 50 million people suffer non-fatal injuries and others incur disability. As stated by Ghori et al., the accidents are a major concern since road injuries cause economic losses to individuals, their families, and to the nation as a whole [1]. As per the WHO [1], the risk factors include speeding, distractive driving, and inadequate post-crash care. Therefore, there is a requirement for a system that detects anomalous driving (speeding and distractive driving) and accidents, reports it to the local authorities for faster post-crash care, and implements inter-vehicle communication so that the vehicles in the proximity of the incident can be notified and can remain at a safe distance from the vehicles involved.

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Dokumentinformationen

Titel :

Smart Traffic Monitoring and Alert System Using VANET and Deep Learning

Weitere Titelangaben:

Advs in Intelligent Syst., Computing

Beteiligte:

Khanna, Ashish (Herausgeber:in) / Gupta, Deepak (Herausgeber:in) / Bhattacharyya, Siddhartha (Herausgeber:in) / Hassanien, Aboul Ella (Herausgeber:in) / Anand, Sameer (Herausgeber:in) / Jaiswal, Ajay (Herausgeber:in) / Taneja, Manik (Autor:in) / Garg, Neeraj (Autor:in)

Erschienen in:

International Conference on Innovative Computing and Communications ; Kapitel : 43 ; 525-536

Advances in Intelligent Systems and Computing ; 1387

Erscheinungsdatum :

2021-08-18

Format / Umfang :

12 pages

ISBN :

978-981-16-2594-7 , 978-981-16-2593-0

ISSN :

2194-5365 , 2194-5357

DOI :