International Journal of Modern Engineering and Management

Context-Aware SOS for Roadside and Vehicular Emergencies

Author(s):

Saranya¹, S Usha Rani², Koushik Kumar M S³, Shashiraj⁴, Suman S⁵ ,Tharun Kumar K⁶

Affiliation: 1,2,3,4,5,6Department of Computer Science and Engineering New Horizon College of Engineering Bengaluru, India

Page No: 29-38

Volume issue & Publishing Year: Volume 2 Issue 10 , 2025-10-30

Journal: International Journal of Modern Engineering and Management | IJMEM

ISSN NO: 3048-8230

DOI: https://doi.org/10.5281/zenodo.18091863

Download PDF Cite this article

Abstract:

Road traffic accidents represent a significant public safety concern, with response time being a critical factor determining survival rates and injury severity. This paper presents a comprehensive context-aware SOS system specifically designed for roadside and vehicular emergencies. The Emergency Assistance Locator leverages modern web technologies including React.js, Leaflet.js mapping services, and Firebase real-time database to provide immediate emergency response capabilities. The system incorporates intelligent context awareness through real-time location tracking, automated incident detection, and multi-modal emergency notification systems. Key innovations include a streamlined 3-click emergency deployment interface, unified authority connectivity that simultaneously alerts police, medical, and fire services, and bystander-initiated reporting capabilities.

Keywords:

Context-aware systems, Emergency response, Vehicular safety, Real-time communication, Mobile computing, SOS systems, Intelligent transportation systems

Reference:

• [1] World Health Organization, “Road Traffic Injuries,” WHO Fact Sheets, 2023.
  [2] W. Evanco, “The Impact of Rapid Incident Detection on Freeway Accident Fatalities,” Mitretek Systems, Inc., Tech. Rep. WN96W0000071, 1996.
  [3] F. J. Martinez, C. K. Toh, J. C. Cano, C. T. Calafate, and P. Manzoni, “Emergency services in future intelligent transportation systems based on vehicular communication networks,” IEEE Intell. Transp. Syst. Mag., vol. 2, no. 2, pp. 6–17, Summer 2010.
  [4] M. R. Endsley, “Toward a theory of situation awareness in dynamic systems,” Human Factors, vol. 37, no. 1, pp. 32–64, 1995.
  [5] H. Vahdat-Nejad, A. Ramazani, T. Mohammadi, and W. Mansoor, “A survey on context-aware vehicular network applications,” Veh. Commun., vol. 3, pp. 43–57, 2016.
  [6] R. Fernandez-Rojas, A. Perry, H. Singh, and L. Broome, “Contextual awareness in human-advanced-vehicle systems: A survey,” IEEE Access, vol. 7, pp. 31777–31793, 2019.
  [7] W. Alghamdi, E. Shakshuki, and T. R. Sheltami, “Context-aware driver assistance system,” Procedia Comput. Sci., vol. 10, pp. 785–794, 2012.
  [8] J. White, C. Thompson, H. Turner, B. Dougherty, and D. C. Schmidt, “WreckWatch: Automatic traffic accident detection and notification with smartphones,” Mobile Netw. Appl., vol. 16, no. 3, pp. 285–303, 2011.
  [9] A. Khan, F. Bibi, M. Dilshad, S. Ahmed, H. Vohra, and F. Kakar, “Accident detection and smart rescue system using Android smartphone with real-time location tracking,” Int. J. Adv. Comput. Sci. Appl., vol. 9, no. 6, pp. 341–355, 2018.
  [10] B. Fernandes, V. Gomes, J. Ferreira, and A. Oliveira, “Mobile application for automatic accident detection and multimodal alert,” in Proc. IEEE 81st Veh. Technol. Conf. (VTC Spring), Glasgow, UK, 2015, pp. 1–5.
  [11] S. Koley and P. Ghosal, “An IoT enabled real-time communication and location tracking system for vehicular emergency,” in Proc. IEEE ISVLSI, Bochum, Germany, 2017, pp. 711–716.
  [12] A. K. Sinha, A. V. Kumar, R. Saha, A. Roy, and K. J. Kadel, “Women security application using smart emergency response system and real-time location tracking,” ResearchGate Preprint, 2025.
  [13] A. Padmavathi, V. Shashini, and K. Srinivasan, “Suraksha: Advanced SOS Android app with intelligent spam alert management and collaborative decision-making,” in Proc. 2024 15th ICCCNT, Delhi, India, 2024, pp. 1–6.
  [14] F. J. Martinez, C. K. Toh, J. C. Cano, C. T. Calafate, and P. Manzoni, “Emergency services in future intelligent transportation systems based on vehicular communication networks,” IEEE Intell. Transp. Syst. Mag., vol. 2, no. 2, pp. 6–17, 2010.
  [15] K. N. Qureshi and A. H. Abdullah, “A survey on intelligent transportation systems,” Middle-East J. Sci. Res., vol. 15, no. 5, pp. 629–642, 2013.
  [16] Y. R. B. Al-Mayouf et al., “Accident management system based on vehicular network for an intelligent transportation system in urban environments,” J. Adv. Transp., vol. 2018, Article ID 6168981, 2018.
  [17] N. Chatterjee, S. Chakraborty, A. Decosta, and A. Nath, “Real-time communication application based on Android using Google Firebase,” Int. J. Adv. Res. Comput. Sci., vol. 9, no. 2, pp. 49–53, 2018.
  [18] A. Monares et al., “Mobile computing in urban emergency situations: Improving the support to firefighters in the field,” Expert Syst. Appl., vol. 38, no. 2, pp. 1255–1267, 2011.
  [19] H. Zhang, R. Zhang, and J. Sun, “Developing real-time IoT-based public safety alert and emergency response systems,” Sci. Rep., vol. 15, Article 2139, 2025.
  [20] S. S. Shah, A. W. Malik, A. U. Rahman, S. Iqbal, and S. U. Khan, “Time barrier-based emergency message dissemination in vehicular ad-hoc networks,” IEEE Access, vol. 7, pp. 16494–16503, 2019.
  [21] Y. Bi, H. Shan, X. S. Shen, N. Wang, and H. Zhao, “A multi-hop broadcast protocol for emergency message dissemination in urban vehicular ad hoc networks,” IEEE Trans. Intell. Transp. Syst., vol. 17, no. 3, pp. 736–750, 2016.
  [22] Y. Zhuang, J. Pan, Y. Luo, and L. Cai, “Time and location-critical emergency message dissemination for vehicular ad-hoc networks,” IEEE J. Sel. Areas Commun., vol. 29, no. 1, pp. 187–196, 2011.
  [23] C. Rossi, M. H. Heyi, and F. Scullino, “A service-oriented cloud-based architecture for mobile geolocated emergency services,” Concurrency Comput.: Pract. Exper., vol. 29, no. 10, e4051, 2017.
  [24] S. R. Rajput, M. S. Deshmukh, and K. V. Kale, “Cross-platform smartphone emergency reporting application in urban areas using GIS location based and Google Web services,” Int. J. Comput. Appl., vol. 129, no. 7, pp. 41–47, 2015.