EFFICIENT TRAFFIC CLEARANCE FOR EMERGENCY VEHICLE

Authors

  • Abhimanyu C V Department of Computer Science and Engineering, Adi Shankara Institute of Engineering and Technology, Kalady, Ernakulam, India. Author
  • Prof. Gripsy Paul Mannickathan Department of Computer Science and Engineering, Adi Shankara Institute of Engineering and Technology Kalady, Ernakulam, India. Author

DOI:

https://doi.org/10.61841/meb45t33

Keywords:

Traffic clearance, Emergency vehicle, Traffic Signal Control

Abstract

In this fast moving world everyone lives a rush life. The circumstances in roads are also not different from this. The number of accidents are also increasing accordingly. It is inevitable for an emergency vehicle to reach on right time, where accident occurred to reduce its intensity. In order to tackle the problems related to emergency vehicle being get stuck in a traffic congestion this paper presents an efficient way of traffic clearance for emergency vehicle.

 

 

 

 

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References

[1] B. K. Dar et al.: Delay-Aware Accident Detection and Response System Using Fog Computing(2019) [Online]. Available: https://ieeexplore.ieee.org/document/8704214

[2] R. Roman, J. Lopez, and M. Mambo, “Mobile edge computing, fog et al.: A survey and analysis of security threats and challenges,” Future Gener. Comput. Syst., vol. 78, pp. 680–698, Jan. 2018.

[3] N. Capurso, E. Elsken, D. Payne, and L. Ma, “Poster: A robust vehicular accident detection system using inexpensive portable devices,” in Proc. 12th Annu. Int. Conf. Mobile Syst. Appl. Services, 2014, p. 367.

[4] C. Aydin, C. Tarhan, A. S. Ozgur, and V. Tecim, “Improving disaster resilience using mobile based disaster management system,” Procedia Technol., vol. 22, pp. 382–390, Jan. 2016.

[5] Y. Lu, S. Dillon, K. Rastrick, and G. Vossen, “Assessing the perceived value of cloud-based technologies in natural disasters: The case of New Zealand emergency management,” in Proc. 4th Int. Conf. Inf. Commun. Technol. Disaster Manage. (ICT-DM), Dec. 2017, pp. 1–8.

[6] R. K. Kodali and K. S. Mahesh, “Smart emergency response system,” in Proc. IEEE Region Conf. (TENCON), Penang, Malaysia, Nov. 2017, pp. 712–717.

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Published

30.09.2020

How to Cite

C V, A., & Mannickathan, G. P. (2020). EFFICIENT TRAFFIC CLEARANCE FOR EMERGENCY VEHICLE. International Journal of Psychosocial Rehabilitation, 24(7), 11158-11160. https://doi.org/10.61841/meb45t33