Centralised Traffic Signal Preemption in the Internet of Things Platform

Authors

  • Adarsh Pradyut Department of Computer Science and Engineering, SRM Institute of Science and Technology, SRM Nagar, Chennai, Tamil Nadu, India, Author
  • Archana.H Department of Computer Science and Engineering, SRM Institute of Science and Technology, SRM Nagar, Chennai, Tamil Nadu, India Author
  • B. Amutha Department of Computer Science and Engineering, SRM Institute of Science and Technology, SRM Nagar, Chennai, Tamil Nadu, India, Author

DOI:

https://doi.org/10.61841/vwva3373

Keywords:

Emergency Vehicle, GPS, Internet of Things, Traffic Control, Traffic Pre-emption

Abstract

Rapid growth in number of vehicles on the road has resulted in increased traffic congestion. Minimizing trip duration of an Emergency Vehicle (EV) from source to destination has become essential, potentially saving lives and properties. Some of the factors that have contributed to the time taken for EV to reach the destination are distance from source to destination, speed of vehicle and congestion at traffic intersections. Although emergency vehicle has been given priority among other vehicles in the traffic, without establishment of a proper traffic pre-emption system, an emergency vehicle can still be stuck in traffic due to time taken to clear traffic at the intersections. Another issue to be considered is the prioritization of multiple emergency vehicles arriving at an intersection. In this paper, a review of various approaches to traffic preemption systems and a centralised traffic preemption system based on Internet of Things platform is presented.  

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References

1. Amutha, B., Renganathan, K. AccSearch: A Specialized Search Engine for Traffic Analysis. International Journal of Computer Science and Information Security. 2010; 8(2):264-271.

2. Eltayeb, A.S., Almubarak, H.O., Attia, T.A. A GPS based traffic light pre-emption control system for emergency vehicles. International Conference on Computing, Electrical and Electronic Engineering. Khartoum. 2013: 724-729

3. Kang, W., Xiong, G., Lv, Y. et al. Traffic Signal Coordination for Emergency Vehicles. IEEE 17th International Conference on Intelligent Transportation Systems (ITSC). Qingdao.. 2014: 157-161.

4. Kodire, V., Bhasakaran, S., Vishwas, H.N. GPS and ZigBee traffic signal preemption. International Conference on Incentive Computation Technologies. Coimbatore. 2016: 1-5.

5. Amutha, B. and Ponnavaikko, M. Location update accuracy in human tracking system using ZigBee modules. arXiv preprint arXiv:0912.1019, 2009

6. Attri, P., Rafiqui, F., Rawal, N. Traffic Signal Pre-emption (TSP) System for Ordinary Vehicles in case of Emergency based on Internet of Things Ecosystem. 3rd International Conference on Computing for Sustainable Global Development(INDIACom). New Delhi. 2016: 85-59.

7. Shanthini, E., Sreeja, G. Improved Traffic Control Systems for Emergency Vehicle Clearance and Stolen Vehicle Detection. International Research Journal of Engineering and Technology. 2016; 3(3): 630-635.

8. Paruchuri, V. Adaptive pre-emption of traffic for emergency vehicles. UKSim-AMSS 19th International Conference on Modelling and Simulation. Cambridge. 2017: 45-49.

9. Asaduzzaman, M., Vidyansankar, K. A Priority Algorithm to Control the Traffic Signal for Emergency Vehicles. IEEE 86th Vehicular Technology Conference (VTC-Fall). Toronto. 2017: 1-7.

10. Saini, A., Chandok, S., Deshwal, P. Advancement of Traffic Management System using RFID International Conference on Intelligent Computing and Control Systems. Madurai. 2017: 1254-1260.

11. George, A.A., Krishna, A., Dias, T. et al. Golden Aid, An Emergency Ambulance System International Conference on Networks & Advances in Computational Technologies. Trivandrum. 2017: 473-476.

12. Javaid, S., Sufian, A., Pervaiz, S., Tanveer, M. Smart Traffic Management System using Internet of Things 20th International Conference on Advanced Communication Technology. Korea(South). 2018: 393

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Published

31.10.2020

How to Cite

Pradyut, A., Archana.H, & B. Amutha. (2020). Centralised Traffic Signal Preemption in the Internet of Things Platform. International Journal of Psychosocial Rehabilitation, 24(8), 12906-12915. https://doi.org/10.61841/vwva3373