Smart Ambulance Traffic Control System
DOI:
https://doi.org/10.33736/tur.2831.2021Keywords:
GPS, IoT, RFID, smart ambulance, traffic signalAbstract
The traffic lights control system is broadly implemented to track and control the flow of vehicles through the intersection of multiple roads. Nevertheless, the synchronization of traffic light system at adjacent junctions is an intricate issue given the different parameters involved. Existing traffic light control systems do not control many flows approaching the same junctions. This results in traffic jams and congestion at urban areas or major cities with high volume traffic consisting of various types of vehicles. This includes emergency ambulances travelling on the same traffic junction during peak hour traffic. Thus, an enhanced traffic light control system is imperative to provide a smooth and free flow for an ambulance on the way to its destination. The Smart Ambulance Traffic Control System proposed in this paper is an integrated system of traffic light control for emergency ambulance service. The traffic lights can be controlled in a timely and efficient manner every time an emergency ambulance is approaching. The Radio-Frequency Identification (RFID) is used as an instrument to communicate with traffic lights during traffic congestion. The emergency ambulance driver needs to activate the RFID tag to allow the detection of RFID readers to control the traffic light operation at the upcoming traffic light junctions. The traffic lights in the path of the ambulance are forced to be green to allow the emergency ambulance to pass through the junction with top priority. Immediately after the ambulance has passed the junction, the control system will reset and return to normal operations.
References
Ahir, D., Bharade, S., Botre, P., Nagane, S., & Shah, M. (2018). Intelligent traffic control system for smart ambulance. International Research Journal of Engineering and Technology, 5(6), 355-358
Anonymous (2019). The straits times: Patients die as Manila traffic jam block ambulance. Retrieved from: https:// www.straitstimes.com/asia/se-asia/patients-die-as-manila-traffic-jams-block-ambulances
Chakrabartty, A., & Gupta, S. (2015). Estimation of congestion cost in the city of Kolkata-A case study. Current Urban Studies, 3(2), 95-104.
https://doi.org/10.4236/cus.2015.32009
Davis, N., Joseph, H. R., Raina, G., & Jagannathan, K. (2017). Congestion costs incurred on Indian roads: A case study for New Delhi," arXiv preprint:1708.08984
Dumka, A., & Sah, A. (2020). Smart ambulance traffic management system (SATMS) - a support for wearable and implantable medical devices. In Wearable and Implantable Medical Devices (pp. 215-228). Academic Press.
https://doi.org/10.1016/B978-0-12-815369-7.00009-4
Gupta, P., Pol, S., Rahatekar, D., & Patil, A. (2016). Smart ambulance system. International Journal of Computer Application, 6, 23-26.
Isa, I., Shaari, N., Fayeez, A., & Azlin, N. (2014). Portable wireless traffic light system (PWTLS). International Journal of research in Engineering and Technology, 3(2), 242-247
https://doi.org/10.15623/ijret.2014.0302041
Jagadeesan, J., Azhagiri, M., Maheshraj, R. P., Sanjay, B., & Srikanth, T. (2019). Control system for smart traffic signal using LTE, GPS, RFID for ambulance. (2019). International Journal of Innovative Technology and Exploring Engineering, 9(1), 812-815.
https://doi.org/10.35940/ijitee.A4313.119119
Kham, N., & New, C (2014). Implementation of modern traffic light control system. International Journal of Scientific and Research Publications, 4(6), 1-6.
Mukkawar, S., Rathod, S., Gawai, S., & Magar, M. (2019). Smart ambulance with traffic control ability. International Research Journal of Engineering and Technology, 6(3), 1868-1869
Mustapha, N. H. N. & Nik Hashim, N. N. W. (2016). Outflow of traffic from the national capital Kuala Lumpur to the north, south and east coast highways using flow, speed, and density relationships. Journal of Traffic and Transportation Engineering (English Edition), 3(6) 540-548.
https://doi.org/10.1016/j.jtte.2016.03.007
Ramani, B. A., & Jeyakumar, A. (2018). Smart ambulance system. International Journal of Advanced Research in Computer Science and Electronics Engineering, 7(7) 36-39.
Udawant, O., Thombare, N., Chauhan, D., Hadke, A., & Waghole, D. (2017). Smart ambulance system using IoT. In 2017 International Conference on Big Data, IoT and Data Science (BID) (pp. 171-176). IEEE.
Downloads
Published
How to Cite
Issue
Section
License
Copyright Transfer Statement for Journal
1) In signing this statement, the author(s) grant UNIMAS Publisher an exclusive license to publish their original research papers. The author(s) also grant UNIMAS Publisher permission to reproduce, recreate, translate, extract or summarize, and to distribute and display in any forms, formats, and media. The author(s) can reuse their papers in their future printed work without first requiring permission from UNIMAS Publisher, provided that the author(s) acknowledge and reference publication in the Journal.
2) For open access articles, the author(s) agree that their articles published under UNIMAS Publisher are distributed under the terms of the CC-BY-NC-SA (Creative Commons Attribution-Non Commercial-Share Alike 4.0 International License) which permits unrestricted use, distribution, and reproduction in any medium, for non-commercial purposes, provided the original work of the author(s) is properly cited.
3) For subscription articles, the author(s) agree that UNIMAS Publisher holds copyright, or an exclusive license to publish. Readers or users may view, download, print, and copy the content, for academic purposes, subject to the following conditions of use: (a) any reuse of materials is subject to permission from UNIMAS Publisher; (b) archived materials may only be used for academic research; (c) archived materials may not be used for commercial purposes, which include but not limited to monetary compensation by means of sale, resale, license, transfer of copyright, loan, etc.; and (d) archived materials may not be re-published in any part, either in print or online.
4) The author(s) is/are responsible to ensure his or her or their submitted work is original and does not infringe any existing copyright, trademark, patent, statutory right, or propriety right of others. Corresponding author(s) has (have) obtained permission from all co-authors prior to submission to the journal. Upon submission of the manuscript, the author(s) agree that no similar work has been or will be submitted or published elsewhere in any language. If submitted manuscript includes materials from others, the authors have obtained the permission from the copyright owners.
5) In signing this statement, the author(s) declare(s) that the researches in which they have conducted are in compliance with the current laws of the respective country and UNIMAS Journal Publication Ethics Policy. Any experimentation or research involving human or the use of animal samples must obtain approval from Human or Animal Ethics Committee in their respective institutions. The author(s) agree and understand that UNIMAS Publisher is not responsible for any compensational claims or failure caused by the author(s) in fulfilling the above-mentioned requirements. The author(s) must accept the responsibility for releasing their materials upon request by Chief Editor or UNIMAS Publisher.
6) The author(s) should have participated sufficiently in the work and ensured the appropriateness of the content of the article. The author(s) should also agree that he or she has no commercial attachments (e.g. patent or license arrangement, equity interest, consultancies, etc.) that might pose any conflict of interest with the submitted manuscript. The author(s) also agree to make any relevant materials and data available upon request by the editor or UNIMAS Publisher.