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Intelligent Accident Rescue System
Vehicles on roads are increasing day by at a very fast pace. This increase in vehicles has also increased the number of road accidents. Every year, an average of 150,000 people die due to accidents in India. Therefore, it is necessary to evaluate such scenarios where first aid and rescue can be provided at the accident site or the breakdown site at the earliest. In this paper, we have proposed a solution for situations where rescue is needed. We have taken the scenario of school buses as nowadays school buses get late in reaching school due to traffic jams, road accidents, etc. A network of school buses has been created in which if the drivers or the passengers get to know about the traffic jams ahead on the road, then the driver can take another path and reach on time or in case of bus breakdown, the driver or the passengers can send the signal to the other nearby bus drivers for rescue. This has been established using the OMNet++ tool using the SIoV concept. The results obtained are promising with a fully deployed functional network that is capable of providing help to the victim node at the earliest.
Intelligent Accident Rescue System
Vehicles on roads are increasing day by at a very fast pace. This increase in vehicles has also increased the number of road accidents. Every year, an average of 150,000 people die due to accidents in India. Therefore, it is necessary to evaluate such scenarios where first aid and rescue can be provided at the accident site or the breakdown site at the earliest. In this paper, we have proposed a solution for situations where rescue is needed. We have taken the scenario of school buses as nowadays school buses get late in reaching school due to traffic jams, road accidents, etc. A network of school buses has been created in which if the drivers or the passengers get to know about the traffic jams ahead on the road, then the driver can take another path and reach on time or in case of bus breakdown, the driver or the passengers can send the signal to the other nearby bus drivers for rescue. This has been established using the OMNet++ tool using the SIoV concept. The results obtained are promising with a fully deployed functional network that is capable of providing help to the victim node at the earliest.
Intelligent Accident Rescue System
Lecture Notes in Civil Engineering
Nagabhatla, Nidhi (editor) / Mehta, Yusuf (editor) / Yadav, Brijesh Kumar (editor) / Behl, Ambika (editor) / Kumari, Madhuri (editor) / Kumar, Vishant (author) / Tyagi, Sandesh (author) / Garg, Sakshi (author) / Mehrotra, Deepti (author)
International Conference on Trends and Recent Advances in Civil Engineering ; 2022 ; Noida, India
Recent Developments in Water Resources and Transportation Engineering ; Chapter: 22 ; 293-301
2023-09-02
9 pages
Article/Chapter (Book)
Electronic Resource
English
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