Review and Study of Intelligent Techniques in Emergency Vehicle Management System
DOI:
https://doi.org/10.26438/ijcse/v6i12.366371Keywords:
Transportation system, emergency vehicle management, traffic control, path planning, traffic forecastingAbstract
The major problem in the transportation system is the interference of the emergency vehicle service, like fire fighting units, ambulance, and so on. When an emergency vehicle arrives on the multilane roadways, it is tough for the private vehicle’s driver to find out the correspondence of the emergency vehicle. Hence, there is a requirement of an intelligent traffic management system for effectively managing the emergency and the normal vehicles. This article surveys various research works in the field of emergency vehicle management. According to the existing works, an emergency vehicle management system is classified into six types, namely smart traffic control system, traffic timer synchronization, traffic forecasting, emergency vehicle recognition, route guidance and navigation for emergency vehicle, and dynamic path planning for emergency vehicle. Finally, an analysis is done based on the published years, techniques used, tools employed and metrics utilized in the emergency vehicle management techniques that are reviewed.
References
[1] V. Venkatesh and N. Syed, "Smart Traffic Control System for Emergency Vehicle Clearance," International Journal of Innovative Research in Computer and Communication Engineering, vol. 3, no.8, pp. 7242-7246, 2015.
[2] M.D. Srivastava, Prerna, S. Sachin, S. Sharma, and U. Tyagi, "Smart Traffic Control System Using PLC and SCADA," International Journal of Innovative Research in Science, Engineering and Technology, vol. 1, no. 2, pp. 169-172, 2012.
[3] Y.S. Jaladanki and A.S.K. Reddy, "Smart Traffic Control System for Prevention and Control of Blockade, Emergency Vehicle Clearance and Stolen Vehicle Identification," International Journal of Innovative Technology and Research, vol.4, no.4, pp. 3253 – 3256, 2016.
[4] A.S. Amogh, S. Pujari. S.N. Gowda, and V.M. Nyamati, "Traffic Timer Synchronization based onCongestion," In Proceedings of the International Conference on Computational Systems and Information Systems for Sustainable Solutions, pp. 255-260, 2016.
[5] H.A. Rahman, J.R. Martí, and K.D. Srivastava, "Road Traffic Forecasting through Simulation and Live GPS-feed from Intervehicle Networks," In Proceedings of the IEEE Conference on Global Humanitarian Technology, pp. 36-40, 2012.
[6] A. Dombalyan, V. Kocherga, E. Semchugova, and N. Negrov, "Traffic Forecasting Model for a Road Section," In Proccedings of the 12th International Conference on Organization and Traffic Safety Management in large cities,Petersburg, Russia, pp. 159-165, 2017.
[7] V. Sciancalepore, K. Samdanis, X. Costa-Perez, D. Bega, M. Gramaglia, and A. Banchs, "Mobile Traffic Forecasting for Maximizing 5G Network Slicing Resource Utilization," In Proceedings of the IEEE Conference on Computer Communications, 2017.
[8] T. Swathi and B.V. Mallu, "Emergency Vehicle Recognition System," International Journal of Engineering Trends and Technology (IJETT), vol. 4, no. 4, pp. 987-990, April 2013.
[9] B. Fazenda, H. Atmoko, F. Gu, L. Guan, and A. Ball, "Acoustic based safety emergency vehicle detection for intelligent transport systems," In Proceedings of the conference on ICCAS-SICE, Fukuoka, Japan, 2009.
[10] Afdhal and Elizar, "Enhanced Route Guidance and Navigation for Emergency Vehicle Using V2I-Based Cooperative Communication," In Proceedings of the International Electronics Symposium, pp. 145-150, 2015.
[11] B. Gong, Z. Yang, and C. Lin, "Dispatching Optimization and Routing Guidance for Emergency Vehicles in Disaster," In Proceedings of the IEEE International Conference on Automation and Logistics, Shenyang, China, pp. 1121-1126, August 2009.
[12] L. Zuo, N. Zhang, Y. He, and T. Zhou, "Research on Dynamic Route Guidance and Navigation System Based on Multi Information Feedback," In Proceedings of the International Conference on Sensing, Diagnostics, Prognostics, and Control, pp. 421- 424, 2017.
[13] H.K. Gedawy, M.B. Dias, and K. Harras, "Dynamic Path Planning and Traffic Light Coordination for Emergency Vehicle Routing," 2009.
[14] C.C. Li, I. Wang, X. Wang, and Y. Zhang, "A Model based Path Planning Algorithm for Self-driving Cars in Dynamic Environment," In Proceedings of the Chinese Automation Congress (CAC), Wuhan, China, 2015.
[15] V. Singh and K.E. Willcoxy, "Methodology for Path Planning with Dynamic Data-Driven Flight Capability Estimation," AIAA Journal, vol. 55, no. 8, pp. 2727-2738, 2017.
[16] J. Wang, M. Garratt, and S. Anavatti, "Dynamic Path Planning Algorithm for Autonomous Vehicles in Cluttered Environments," In Proceedings of IEEE International Conference on Mechatronics and Automation, Harbin, China, 2016.
[17] J. Zhao, Y. Guo, and X. Duan, "Dynamic Path Planning of Emergency Vehicles Based on Travel Time Prediction," Journal of Advanced Transportation, pp. 1-14, 2017.
[18] K. Nellore and G.P. Hancke, "Traffic Management for Emergency Vehicle Priority based on Visual Sensing," Sensors, vol. 10, no. 11, pp. 1-22, 2016.
[19] Bringing-v2i-and-v2v-communications-to-workzone-safety, available at: http://www.itsinternational.com/sections/nafta/features/bringing-v2iand- v2v-communications-to-workzone-safety, accessed February 2015.
[20] H. Hartenstein, K.P. Laberteaux, "A tutorial survey on vehicular ad hocnetworks," IEEE Communications Magazine, vol.46, no.6, pp.164-171, June 2008.
[21] N.A. Naumova, V.V. Zyryanov, “A method of computing the traffic flow distribution density in the network with new flow-forming objects being put into operation,” Journal of Theoretical and Applied Information Technology, vol. 78, no. 1, pp. 76–83, 2015.
Downloads
Published
How to Cite
Issue
Section
License

This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors contributing to this journal agree to publish their articles under the Creative Commons Attribution 4.0 International License, allowing third parties to share their work (copy, distribute, transmit) and to adapt it, under the condition that the authors are given credit and that in the event of reuse or distribution, the terms of this license are made clear.
