Affiliation:
1. 1 Department of Computer Science and Engineering , B.M.S. College of Engineering Bangalore , India
Abstract
Abstract
Road traffic in metropolitan cities is increasing at enormous rates resulting in congestion. Vehicles rendering emergency services like ambulances, fire engines, law enforcement vehicles, etc., act as lifelines and should be looked into with the highest priorities on the road. Such emergency vehicles (EmVs / EVs) are seen stuck many times in traffic, especially during peak hours of the day. The vehicles that block the EmVs on the road are unaware of the arrival of the same. Hence this work proposes a system that uses a central server that receives the location of the EmV and shares it with the civilian vehicles around. This is achieved through pinpointed accuracy systems like the Indian Regional Navigation Satellite System (IRNSS), Global Positioning System (GPS), and Global System for Mobile Communication (GSM), etc., The objective here is to help the EmVs reach their target location earlier thus saving lives.
Reference15 articles.
1. Bagali, M. U., Thangadurai, N. (2019) Embedded system interfacing with GNSS user receiver for transport applications. IEEE International Journal of Advanced Computer Science and Applications. 10(9), DOI:10.14569/IJACSA.2019.0100939.
2. European automobile manufacturer association road safety facts. https://roadsafetyfacts.eu/how-can-automated-and-connected-vehicles-improve-road-safety.
3. Indian space research organization U.R. RAO SATELLITE CENTRE (2021) NAVIC (IRNSS) SPS Performance. ISRO-IRNSS-PER-21-02; INDIA: Department of Space, Indian Space Research Organization.
4. Hoque, M. A., Rios-Torres, J., Arvin, R., Khattak, A. Ahmed, S. (2020) The extent of reliability for vehicle-to-vehicle communication in safety critical applications: an experimental study. Journal of Intelligent Transportation Systems, 24(3), 264-278. DOI: 10.1080/15472450.2020.1721289264-278.
5. Koshimizu, T., Gengtian, S., Wang, H., Pan, Z., Liu, J., Shimamoto, S. (2020) Multi-dimensional affinity propagation clustering applying a machine learning in 5G-Cellular V2X. IEEE Access, 8, 94560-94574. DOI: 10.1109/ACCESS.2020.2994132.