Pushparaj Pal* | Lalita Pali
OPEN ACCESS
For any country’s growth is depend on their people’s growth, whenever we talk about the growth of any country then it shows the achievements done by their peoples. Day by day population are increasing and peoples are enjoying their luxurious life with big bungalows, and big luxurious cars but not a single vehicle it could be per person average of two-three vehicles results to noise, air pollutions and important factor is the increment of traffic of the city. In this paper we are not praising for the growth of the country, no doubt for the growth but we want to focus on the traffic system control. Day to day traffic is increasing in which the big problem is faced for the safe passage for the ambulance vehicle’s escape or some other person who is in need of urgent work anywhere apart from medical facilities. We heard many patients leads to death in the ambulance and doctor says ‘‘it’s too late, if you could reach at least 10minutes before then the patient could have been saved his/her life’’.
So here we focused in paper to facilitate the emergency services (only concerned to patient’s ambulance) signal free. This will be possible by using the telecom technologies along with city traffic control stations to implement the things made easier for the signal free passage to escape of ambulance from the traffic lights or streets means the ambulance would not stop in the traffic jams. This can be made possible using VANET-LTE advanced technology.
VANET, IoT, signal-free traffic, tri-city, smart city, ambulance, traffic,LTE-A
[1] Lanke N, Koul S. (2013). Smart traffic management system. International Journal of Computer Applications 75(7): 19-22.
[2] Mythili A. (2017). An assessment of clustering and its protocols in VANET. International Journal of Advance Research, Ideas and Innovations in Technology 3(2): 160-162.
[3] Verma LP, Sharma VK, Kumar M. (2018). New delay-based fast retransmission policy for CMT-SCTP. International Journal of Intelligent Systems and Applications (IJISA) 10(3): 59-66. https://doi.org/10.5815/ijisa.2018.03.07
[4] Rajasekaran T, Dhinakaran K. (2016). LTE based high performance intelligent transportation system using multi-hop clustering. Middle-East Journal of Scientific Research 24(11): 3495-3500.
[5] Mittal AK, Bhandari D. (2013). A novel approach to implement green wave system and detection of stolen vehicles. Proc. IEEE 3rd Int. Adv. Computer, pp. 1055-1059.
[6] Viswanadha Geetha EV, Kavitha G. (2014). Design of an intelligent auto traffic signal controller with emergency override. International Journal of Engineering Science and Innovative Technology (IJESIT) 3(4): 670-675.
[7] Surobhi NA, Jamalipour A. (2014). M2M-based service coverage for mobile users in post-emergency environments. IEEE Transactions on Vehicular Technology 63(7): 3294-3303.
[8] Sur C, Sharma S, Shukla A. (2013). Multi-objective adaptive intelligent water drops algorithm for optimization & vehicle guidance in road graph network. IEEE, pp. 1-6. https://doi.org/10.1109/ICIEV.2013.6572695
[9] Andersen O, Jensen CS, Torp K, Tour BYE. (2013). Reducing the environmental footprint of vehicles using eco-routes. 2013 IEEE 14th International Conference on Mobile Data Management, pp. 338-340. https://doi.org/10.1109/MDM.2013.50
[10] Doolan R, Muntean G. (2013). VANET-enabled eco-friendly road characteristics-aware routing for vehicular traffic. IEEE, pp. 1372-1388.
[11] Marfia G, Roccetti M. (2011). Vehicular congestion detection and short term forecasting: A new model with results. Vehicular Technology, IEEE Transactions on, 60(7): 2936, 2948.
[12] Gozalvez BRJ, Sanchez-Soriano J. (2010). ‘Road traffic congestion detection through cooperative vehicle-to-vehicle communications. IEEE 35th Conference on Local Computer Networks (LCN), pp. 606-612.
[13] Leontiadis I, Marfia G, Mack D, Pau G, Mascolo C, and Gerla M. (2011). On the effectiveness of an opportunistic traffic management system for vehicular networks. IEEE Transactions on Intelligent Transportation Systems 12(4): 149-155.
[14] Maslekar N, Boussedjra M, Mouzna J, Labiod H. (2011). VANET based adaptive traffic signal control. IEEE 73rd Vehicular Technology Conference (VTC Spring), pp. 1-5.
[15] Gradinescu V, Gorgorin C, Diaconescu R, Cristea V, Iftode L. (2007). Adaptive traffic light using car-to-car communications. IEEE 65th Vehicular Technology Conference (VTC Spring), pp. 21-25.
[16] Barba CT, Mateos MA, Soto PR, Mezher AM, Igartua MA. (2012). Smart city for VANETs using warning messages, traffic statistics and intelligent traffic lights. Intelligent Vehicles Symposium (IV), IEEE 902, 907.
[17] Barrachina J, Garrido P, Fogue M, Martinez FJ, Cano JC, Calafate CT, Manzoni P. (2012). Caova: A car accident ontology for VANETs. Wireless Communications and Networking Conference (WCNC), 2012 IEEE, pp. 1864–1869.
[18] Sharma VK, Verma LP, Kumar M. (2018). A fuzzy-based adaptive energy efficient load distribution scheme in Ad-hoc networks. International Journal of Intelligent Systems and Applications (IJISA) 10(2): 72-84. https://doi.org/10.5815/ijisa.2018.02.07
[19] Walia A, Pal P. (2014). An implemented approach of VANET using location information based technique for safe city and vehicle. International Journal for Research in Applied Science & Engineering Technology (IJRASET), 2(X): 400-405.