Optimal Solution for the Smooth Movement of the Emergency Vehicle at the Time of Heavily Congested Traffic Using Traffic Signals and Light Detection
Abstract
This paper is
proposed with an idea to recognize the emergency vehicle especially the
ambulance using the emergency lights emitted from the beacon lights of the
emergency vehicle and to control the traffic light. Ambulances are usually
identified by the siren sound but in some cases where the drivers in the closed
car couldn’t hear the sound properly and also there exists confusion in the
lane in which the ambulance is arriving. In some cases, the siren is turned off
in order to reduce the tension on the patients. The proposed system would
provide a solution for this problem. This system uses a sensor that detects the
blue and red lights emitted from the beacon of the ambulance at a distance from
the traffic signal in order to clear out the congestion on the road and to
provide a faster movement of the emergency vehicle to serve the patients in
need of emergency. The advantage of using this system is that lights have
greater wavelength and it is easy detected from a distance. We conducted a
survey at different times of a day and also at different climatic situations to
study the wavelength of the beacon lights.
Country : India
1 Chelimeti Mamatha
Assistant Professor, Department of Electronics and Communication Engineering, Malla Reddy College of Engineering for Women, Hyderabad -500100, Telangana, India
Prakash, N., Udayakumar, E., & Kumareshan, N. (2020,
January). Arduino Based traffic congestion control with automatic signal
clearance for emergency vehicles and Stolen Vehicle Detection. In 2020
International Conference on Computer Communication and Informatics (ICCCI) (pp.
1-6). IEEE.
Rane, D., Shirodkar, P., Panigrahi, T., & Mini, S. (2019,
March). Detection of Ambulance Siren in Traffic. In 2019 International
Conference on Wireless Communications Signal Processing and Networking
(WiSPNET) (pp. 401-405). IEEE
Gowtham, P., Eswari, P., & Arunachalam, V. P. (2018,
February). An Investigation Approach used for Pattern Classification and
Recognition of an Emergency Vehicle. In 2018 International Conference on
Soft-computing and Network Security (ICSNS) (pp. 1-7). IEEE.
Nellore, K., & Hancke, G. P. (2016). Traffic management
for emergency vehicle priority based on visual sensing. Sensors, 16(11), 1892.
Kumar, R. R., & Kavitha, K. (2016). Research on Traffic
Signal Controller. International Journal of Computer Science and Engineering,
4(6), 1474-1480.
Djahel, S., Smith, N., Wang, S., & Murphy, J. (2015, October).
Reducing emergency services response time in smart cities: An advanced adaptive
and fuzzy approach. In 2015 IEEE first international smart cities conference
(ISC2) (pp. 1-8). IEEE.
Al-Ostath, N., Selityn, F., Al-Roudhan, Z., & El-Abd, M.
(2015, July). Implementation of an emergency vehicle to traffic lights
communication system. In 2015 7th International Conference on New Technologies,
Mobility and Security (NTMS) (pp. 1-5). IEEE.
Sundar, R., Hebbar, S., & Golla, V. (2014). Implementing
intelligent traffic control system for congestion control, ambulance clearance,
and stolen vehicle detection. IEEE Sensors Journal, 15(2), 1109-1113.
Vidhya, K., & Banu, A. B. (2014). Density based traffic
signal system. International Journal of Innovative Research in Science,
Engineering and Technology, 3(3), 2218-2222.
Bo, L., & Fusheng, Z. (2013, January). Traffic signal
control system based on wireless technology. In 2013 Third International
Conference on Intelligent System Design and Engineering Applications (pp.
1578-1580). IEEE.
Goel, A., Ray, S., & Chandra, N. (2012). Intelligent
traffic light system to prioritized emergency purpose vehicles based on
wireless sensor network. International Journal of Computer Applications,
40(12), 36-39.
Thatsanavipas, K., Ponganunchoke, N., Mitatha, S., &
Vongchumyen, C. (2011). Wireless Traffic Light Controller. Procedia
Engineering, 8, 190-194.
Tubaishat, M., Qi, Q., Shang, Y., & Shi, H. (2008,
January). Wireless sensor-based traffic light control. In 2008 5th IEEE
Consumer Communications and Networking Conference (pp. 702-706). IEEE.