Iot based real time trafic control using cloud computing
The rapid increase in the number of vehicles has given rise to the traffic jam, which is a major problem these days. The effect of traffic jam also effects the operation of ambulance. To avoid the traffic jam for the ambulance, a new idea is developed. In this paper we propose a new concept to avoid...
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| Vydané v: | Cluster computing Ročník 22; číslo Suppl 1; s. 2495 - 2504 |
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| Hlavní autori: | , , , |
| Médium: | Journal Article |
| Jazyk: | English |
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New York
Springer US
01.01.2019
Springer Nature B.V |
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| ISSN: | 1386-7857, 1573-7543 |
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| Abstract | The rapid increase in the number of vehicles has given rise to the traffic jam, which is a major problem these days. The effect of traffic jam also effects the operation of ambulance. To avoid the traffic jam for the ambulance, a new idea is developed. In this paper we propose a new concept to avoid traffic jam for the ambulance and thus saving the life of an individual. At first the ambulance is detected and the information about the arrival of the ambulance is sent to the next station. The ambulance will make siren only when it carries patient inside, so by detecting both the ambulance siren and the image taken from the acquisition device, the information is sent to the next point which is on the way to hospital. Announcement of the arrival of the ambulance is done. The CCTV camera is monitoring each vehicle on that road. If any vehicle doesn’t abide by the announcement done, the image of the vehicle will be captured, and then by using the acquired image the number plate will be tracked and will be detected automatically by image processing. The vehicle information is sent to the police station, to take the necessary action. Thus the traffic control can be done and the way is cleared for the ambulance and life is saved. The processing is done using MATLAB and is verified. |
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| AbstractList | The rapid increase in the number of vehicles has given rise to the traffic jam, which is a major problem these days. The effect of traffic jam also effects the operation of ambulance. To avoid the traffic jam for the ambulance, a new idea is developed. In this paper we propose a new concept to avoid traffic jam for the ambulance and thus saving the life of an individual. At first the ambulance is detected and the information about the arrival of the ambulance is sent to the next station. The ambulance will make siren only when it carries patient inside, so by detecting both the ambulance siren and the image taken from the acquisition device, the information is sent to the next point which is on the way to hospital. Announcement of the arrival of the ambulance is done. The CCTV camera is monitoring each vehicle on that road. If any vehicle doesn’t abide by the announcement done, the image of the vehicle will be captured, and then by using the acquired image the number plate will be tracked and will be detected automatically by image processing. The vehicle information is sent to the police station, to take the necessary action. Thus the traffic control can be done and the way is cleared for the ambulance and life is saved. The processing is done using MATLAB and is verified. |
| Author | Vishnuprasad, P. V. Vardhana, M. Abdulhay, Enas Arunkumar, N. |
| Author_xml | – sequence: 1 givenname: M. surname: Vardhana fullname: Vardhana, M. organization: N.M.A.M. Institute of Technology, Nitte – sequence: 2 givenname: N. surname: Arunkumar fullname: Arunkumar, N. email: arun.nura@gmail.com organization: SASTRA University – sequence: 3 givenname: Enas surname: Abdulhay fullname: Abdulhay, Enas organization: Jordon University of Science and Technology – sequence: 4 givenname: P. V. surname: Vishnuprasad fullname: Vishnuprasad, P. V. organization: Digicomm Semiconductor Private Limited |
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| Cites_doi | 10.1109/ICIP.2007.4378890 10.1109/TNET.2002.1012366 10.1109/ICDSP.2002.1028263 10.1109/MDM.2012.24 10.1109/34.485557 10.1109/TII.2012.2218251 10.1109/5.18626 10.1109/35.852034 10.1109/ICCIC.2014.7238419 10.1109/MCOM.2006.1580935 10.1109/ICMLC.2011.6017014 10.1109/ICMET.2010.5598437 10.1109/ICETC.2009.54 10.1109/ICSTM.2015.7225443 10.1016/j.eswa.2010.07.083 10.1016/j.dsp.2009.10.006 |
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| References | Rabiner, L.R.: A tutorial on hidden markov models and selected applications in speech recognition. In: Proceedings of the IEEE Journal, vol. 77. (1989) BiswasSTatchikouRDionFVehicle-to-vehicle wireless communication protocols for enhancing highway traffic safetyIEEE Commun. Mag.2006441748210.1109/MCOM.2006.1580935 Saravanan, S.: Implementation of efficient automatic traffic surveillance using digital image processing. In: IEEE International Conference on Computational Intelligence and Computing Research. (2014) MandellosNAA background subtraction algorithm for detecting and tracking vehiclesExpert Syst. Appl.2011381619163110.1016/j.eswa.2010.07.083 Kalampoukas, L., Varma, A., Ramakrishnan, K.K.: Explicit window adaptation: a method to enhance TCP performance. In: IEEE/ACM Transactions on Networking. (2002) Lim, K.H., et al.: Lane-vehicle detection and tracking. In: Proceedings of the International Multi-Conference of Engineers and Computer Scientists (IMECS 2009), vol. 2, pp. 5–10. (2009) Qadri, M.T., Asif, M.: Automatic number plate recognition system for vehicle identification using OCR. In: International Conference on Education Technology and Computer, pp 335–338. (2009) Bender, P., et al.: A bandwidth efficient high speed wireless data service for nomadic users. In: IEEE Communications Magazine. (2000) Su, X.: The basic principles of software design and sample analysis. In: Silicon Valley, pp. 138–139. (2008) Faradji, F., Rezaie, A.H., Ziaratban, M.: A morphological based license plate locating system. In: IEEE International Conference on Image Processing (ICIP), pp 57–60. (2007) JollyMPDVehicle segmentation and classification using deformable templatesIEEE Trans. Pattern Anal. Mach. Intell.19961829330810.1109/34.485557 ZhangTLiuSXuCLuHMining semantic context information for intelligent video surveillance of traffic scenes’IEEE Trans. Ind. Inf.2013914916010.1109/TII.2012.2218251 Verroios, V., Vicente, C.R., Delis, A.: Detecting hazardous vehicles and disseminating their behavior in urban areas. In: IEEE 13th International Conference on Mobile Data Management, pp. 280–281. (2012) ZhangWMoving vehicles detection based on adaptive motion histogramDigit. Signal Process.20102079380510.1016/j.dsp.2009.10.006 Roy, A.B., Halder, A., Sharma, R., Hegde, V.: A Novel concept of smart headphones using active noise cancellation and speech recognition. In: International Conference on Smart Technologies and Management for Computing, Communication, Controls, Energy and Materials (ICSTM), pp. 366–371. (2015) Megalingam, R.K., Nair, R.N., Prakhya, S.M.: Wireless vehicular accident detection and reporting system. In: IEEE, International Conference on Mechanical and Electrical Technology (ICMET), pp. 636–640. (2010) Li, X.-C., Li, C.-H., Xie, Y.: A retrieval system of vehicles based on recognition of license plates. In: IEEE Proceedings of the International Conference on Machine Learning and Cybernetics, pp. 1453–1459. Guilin (2011) Jingyi, Z., Shensheng, Z., Xinmin, L.U.: Research on object-oriented equipment management system based on C/S[J]. In: Computer Engineering, pp. 236–238. (2002) Sun, Z., Bebis, G., Miller, R.: On-road vehicle detection using gabor filters and support vector machines. In: 14th International Conference on Digital Signal Processing (DSP), vol. 2, pp. 1019–1022. (2002) S Biswas (2152_CR17) 2006; 44 MPD Jolly (2152_CR8) 1996; 18 NA Mandellos (2152_CR9) 2011; 38 2152_CR3 2152_CR2 2152_CR5 2152_CR4 2152_CR7 W Zhang (2152_CR10) 2010; 20 2152_CR6 2152_CR19 2152_CR1 2152_CR18 2152_CR15 2152_CR16 2152_CR13 2152_CR11 2152_CR12 T Zhang (2152_CR14) 2013; 9 2152_CR20 |
| References_xml | – reference: Su, X.: The basic principles of software design and sample analysis. In: Silicon Valley, pp. 138–139. (2008) – reference: Faradji, F., Rezaie, A.H., Ziaratban, M.: A morphological based license plate locating system. In: IEEE International Conference on Image Processing (ICIP), pp 57–60. (2007) – reference: ZhangTLiuSXuCLuHMining semantic context information for intelligent video surveillance of traffic scenes’IEEE Trans. Ind. Inf.2013914916010.1109/TII.2012.2218251 – reference: Sun, Z., Bebis, G., Miller, R.: On-road vehicle detection using gabor filters and support vector machines. In: 14th International Conference on Digital Signal Processing (DSP), vol. 2, pp. 1019–1022. (2002) – reference: Verroios, V., Vicente, C.R., Delis, A.: Detecting hazardous vehicles and disseminating their behavior in urban areas. In: IEEE 13th International Conference on Mobile Data Management, pp. 280–281. (2012) – reference: MandellosNAA background subtraction algorithm for detecting and tracking vehiclesExpert Syst. Appl.2011381619163110.1016/j.eswa.2010.07.083 – reference: Kalampoukas, L., Varma, A., Ramakrishnan, K.K.: Explicit window adaptation: a method to enhance TCP performance. In: IEEE/ACM Transactions on Networking. (2002) – reference: Jingyi, Z., Shensheng, Z., Xinmin, L.U.: Research on object-oriented equipment management system based on C/S[J]. In: Computer Engineering, pp. 236–238. (2002) – reference: BiswasSTatchikouRDionFVehicle-to-vehicle wireless communication protocols for enhancing highway traffic safetyIEEE Commun. Mag.2006441748210.1109/MCOM.2006.1580935 – reference: Bender, P., et al.: A bandwidth efficient high speed wireless data service for nomadic users. In: IEEE Communications Magazine. (2000) – reference: Saravanan, S.: Implementation of efficient automatic traffic surveillance using digital image processing. In: IEEE International Conference on Computational Intelligence and Computing Research. (2014) – reference: JollyMPDVehicle segmentation and classification using deformable templatesIEEE Trans. Pattern Anal. Mach. Intell.19961829330810.1109/34.485557 – reference: Qadri, M.T., Asif, M.: Automatic number plate recognition system for vehicle identification using OCR. In: International Conference on Education Technology and Computer, pp 335–338. (2009) – reference: Megalingam, R.K., Nair, R.N., Prakhya, S.M.: Wireless vehicular accident detection and reporting system. In: IEEE, International Conference on Mechanical and Electrical Technology (ICMET), pp. 636–640. (2010) – reference: Lim, K.H., et al.: Lane-vehicle detection and tracking. In: Proceedings of the International Multi-Conference of Engineers and Computer Scientists (IMECS 2009), vol. 2, pp. 5–10. (2009) – reference: Li, X.-C., Li, C.-H., Xie, Y.: A retrieval system of vehicles based on recognition of license plates. In: IEEE Proceedings of the International Conference on Machine Learning and Cybernetics, pp. 1453–1459. Guilin (2011) – reference: ZhangWMoving vehicles detection based on adaptive motion histogramDigit. Signal Process.20102079380510.1016/j.dsp.2009.10.006 – reference: Roy, A.B., Halder, A., Sharma, R., Hegde, V.: A Novel concept of smart headphones using active noise cancellation and speech recognition. In: International Conference on Smart Technologies and Management for Computing, Communication, Controls, Energy and Materials (ICSTM), pp. 366–371. (2015) – reference: Rabiner, L.R.: A tutorial on hidden markov models and selected applications in speech recognition. In: Proceedings of the IEEE Journal, vol. 77. (1989) – ident: 2152_CR16 doi: 10.1109/ICIP.2007.4378890 – ident: 2152_CR19 doi: 10.1109/TNET.2002.1012366 – ident: 2152_CR11 doi: 10.1109/ICDSP.2002.1028263 – ident: 2152_CR6 – ident: 2152_CR7 – ident: 2152_CR1 doi: 10.1109/MDM.2012.24 – volume: 18 start-page: 293 year: 1996 ident: 2152_CR8 publication-title: IEEE Trans. Pattern Anal. Mach. Intell. doi: 10.1109/34.485557 – volume: 9 start-page: 149 year: 2013 ident: 2152_CR14 publication-title: IEEE Trans. Ind. Inf. doi: 10.1109/TII.2012.2218251 – ident: 2152_CR18 doi: 10.1109/5.18626 – ident: 2152_CR20 doi: 10.1109/35.852034 – ident: 2152_CR2 doi: 10.1109/ICCIC.2014.7238419 – volume: 44 start-page: 74 issue: 1 year: 2006 ident: 2152_CR17 publication-title: IEEE Commun. Mag. doi: 10.1109/MCOM.2006.1580935 – ident: 2152_CR5 doi: 10.1109/ICMLC.2011.6017014 – ident: 2152_CR12 – ident: 2152_CR4 doi: 10.1109/ICMET.2010.5598437 – ident: 2152_CR13 doi: 10.1109/ICETC.2009.54 – ident: 2152_CR3 doi: 10.1109/ICSTM.2015.7225443 – volume: 38 start-page: 1619 year: 2011 ident: 2152_CR9 publication-title: Expert Syst. Appl. doi: 10.1016/j.eswa.2010.07.083 – ident: 2152_CR15 doi: 10.1109/ICETC.2009.54 – volume: 20 start-page: 793 year: 2010 ident: 2152_CR10 publication-title: Digit. Signal Process. doi: 10.1016/j.dsp.2009.10.006 |
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| SubjectTerms | Algorithms Cameras Closed circuit television Cloud computing Computer Communication Networks Computer Science Image acquisition Image processing Internet of Things Operating Systems Police stations Processor Architectures Roads & highways Software Surveillance Traffic congestion Traffic control Traffic jams Vehicle identification Vehicles |
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