Journal of Cognitive Human-Computer Interaction

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https://doi.org/10.54216/JCHCI

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2771-1463ISSN (Online) 2771-1471ISSN (Print)

Volume 5 , Issue 2 , PP: 31-44, 2023 | Cite this article as | XML | Html | PDF | Full Length Article

Android-based System for Intelligent Traffic Signal Control and Emergency Call Functionality

R. Manikandan 1 * , S. Keerthana 2 , S. Sangavi Priya 3 , R. Madhumitha 4 , A. G. Sruti Aditya 5 , D. Priya 6

  • 1 Department of Electronics and Communication Engineering, Panimalar Engineering College, Chennai, India - (money_kandan2004@yahoo.co.in)
  • 2 Department of Electronics and Communication Engineering, Panimalar Engineering College, Chennai, India - (keerthanasakthi15@gmail.com)
  • 3 Department of Electronics and Communication Engineering, Panimalar Engineering College, Chennai, India - (sangavipriya090103@gmail.com)
  • 4 Department of Electronics and Communication Engineering, Panimalar Engineering College, Chennai, India - (madhukani09@gmail.com)
  • 5 Department of Electronics and Communication Engineering, Panimalar Engineering College, Chennai, India - ( srutiadityak@gmail.com)
  • 6 Department of Electronics and Communication Engineering, Panimalar Engineering College, Chennai, India - (priyadrrj03@gmail.com)
  • Doi: https://doi.org/10.54216/JCHCI.050204

    Received: December 21, 2022 Revised: March 15, 2023 Accepted: May 10, 2023
    Abstract

    The aim of the system was to utilize technology to save lives in India by addressing the challenge of transporting patients during emergencies on congested roads. To tackle this problem, we developed two mobile apps - one for users and one for ambulance drivers. The user app requires signup and retrieves their address and location. Similarly, the ambulance driver app also retrieves their location. When the user presses the emergency button, a notification is sent to the ambulance driver via the app. The app then displays the shortest path, and traffic signals along the route are adjusted to facilitate a faster route to the hospital. Overall, our apps were created to aid accident victims in reaching the hospital promptly

    Keywords :

    Intelligent Traffic , Android , Smart System

    References

    [1] Hong Y, Hong SH, Oh YM et al (2018) Identification of lung cancer specific differentially methylated regions using genomewide DNA methylation study. Mol Cell Toxicol 14:315.

    [2] Nair SS et al (2011) Comparison of methyl-DNA immunoprecipitation (MeDIP) and methyl-CpG binding domain (MBD) protein capture for genome-wide DNA methylation analysis reveal CpGsequence coverage bias. Epigenetics 6:34–44.

    [3] Gaudet F et al (2003) Induction of tumors in mice by genomic hypomethylation. Science 300:489–492.

    [4] Tang M, Xu W, Wang Q, Xiao W, Xu R (2009) Potential of DNMT and its epigenetic regulation for lung cancer therapy. Curr Genomics 10:336–352

    [5] Liu Z, Wang J, Yuan Z, Zhang B, Gong L, Zhao L, Wang P (2018) Preliminary results about application of intensity-modulated radiotherapy to reduce prophylactic radiation dose in limited-stage small cell lung cancer. J Cancer 9(15):2625–2630.

    [6] Balmelli C, Railic N, Siano M, Feuerlein K, Cathomas R, Cristina V, Gu¨thner C, Zimmermann S, Weidner S, Pless M, Stenner F, Rothschild SI (2018) ‘‘Lenvatinib in advanced radioiodine-refractory thyroid cancer: a retrospective analysis of the swiss lenvatinib named patient program. J Cancer 9(2):250–255.

    [7] Manser R, Lethaby A, Irving LB, Stone C, Byrnes G, Abramson MJ, Campbell D (2013) Screening for lung cancer. Cochrane Database of System Rev 6(6):CD001991.

    [8] Brock MV et al (2008) DNA methylation markers and early recurrence in stage I lung cancer. N Engl J Med 358:1118–1128

    [9] Wang CC et al (2015) HOXA5 inhibits metastasis via regulating cytoskeletal remodelling and associates with prolonged survival in non-small-cell lung carcinoma.

    [10] Hulbert A, Jusue-Torres, I, Stark A, Chen C, Rodgers K, Lee B, Belinsky SA (2017) Early detection of lung cancer using DNA promoter hypermethylation in plasma and sputum. Clin Cancer Res 23(8):1998–2005.

    [11] Nilaiswariya, R., J. Manikandan, and P. Hemalatha. "Improving Scalability And Security Medical Dataset Using Recurrent Neural Network And Blockchain Technology." In 2021 International Conference on System, Computation, Automation and Networking (ICSCAN), pp. 1-6. IEEE, 2021.

    [12] Sriram, S., J. Manikandan, P. Hemalatha, and G. Leema Roselin. "A Chatbot Mobile Quarantine App for Stress Relief." In 2021 International Conference on System, Computation, Automation and Networking (ICSCAN), pp. 1-5. IEEE, 2021.

    [13] Kiruba, K., P. Hemalatha, J. Manikandan, M. Madhin, and Raj S. Mohan. "Revolutionizing Secure Commercialization In Agriculture Using Blockchain Technology." In 2021 International Conference on System, Computation, Automation and Networking (ICSCAN), pp. 1-6. IEEE, 2021.

    [14] Hemalatha, P., J. Manikandan, G. Leemarosilin, and P. Kanimozhi. "SEA FOOD PROCESSING USING INTERNET OF THINGS AND CLOUD TECHNOLOGIES." PalArch's Journal of Archaeology of Egypt/Egyptology 17, no. 9 (2020): 5877-5885.

    [15] Manikandan, J., Brahmadesam Viswanathan Krishna, and K. Surendar. "Sign Language Recognition using Machine Learning." In 2022 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES), pp. 1-5. IEEE, 2022.

    [16] Sridhar KP, Baskar S, Shakeel PM, Dhulipala VS (2018) Developing brain abnormality recognize system using multi-objective pattern producing neural network. J Ambient Intell Humaniz Comput.

    [17] Shakeel PM, Tobely TEE, Al-Feel H, Manogaran G, Baskar S (2019) Neural network based brain tumor detection using wireless infrared imaging sensor. IEEE Access 7:5577–5588

    [18] Senthil Kumar K, Venkatalakshmi K, Karthikeyan K (2019) Lung cancer detection using image segmentation by means of various evolutionary algorithms. Comput Math Methods Med 2019:4909846.

    [19] Song QZ, Zhao L, Luo XK, Dou XC (2017) Using deep learning for classification of lung nodules on computed tomography images. J Healthc Eng 7:8314740.

    [20] Venkatalakshmi K, Mercyshalinie S (2005) Classification of multispectral images using support vector machines based on PSO and k-means clustering. In: Proceedings of IEEE international conference on intelligent sensing and information processing, pp 127–133, Bangalore, India, Dec 2005

    [21] Zhang X, Wang S (2012) Efficient data hiding with histogram preserving property. Telecommun Syst 49:179–185

    [22] Farabet C, Couprie C, Najman L, LeCun Y (2013) Learning hierarchical features for scene labeling. IEEE Trans Pattern Anal Mach Intell 35(8):1915–1929

    [23] Golmohammadi D, Creese RC, Valian H, Kolassa J (2009) Supplier selection based on a neural network model using genetic algorithm. IEEE Trans Neural Netw 20(9):1504–1519

    [24] Tsai CW, Huang BC, Chiang MC (2014) A novel spiral optimization for clustering. In: Park J, Adeli H, Park N, Woungang I (eds) Mobile, ubiquitous, and intelligent computing. Lecture notes in electrical engineering, vol 274. Springer, Berlin

    [25] Tamura K, Yasuda K (2011) Spiral multipoint search for global optimization. In: International conference on machine learning and applications, vol 1, pp 470–475

    [26] Raoof K, Kamoona K, Budayan C (2019) Implementation of genetic algorithm integrated with the deep neural network for estimating at completion simulation. Adv Civ Eng. https://doi. org/10.1155/2019/7081073

    [27] Kong Z, Li T, Luo J, Xu S (2019) Automatic tissue image segmentation based on image processing and deep learning. J Healthc Eng. https://doi.org/10.1155/2019/2912458

    [28] Havaei M, Davy A, Warde-Farley D et al (2017) Brain tumor segmentation with deep neural networks. Med Image Anal 35:18–31.

    [29] K. Nanagasabapathy; G. Harish; O. I. Allen Sebastian; N. Sowrabh Chandra; V. D. Ambeth Kumar,” Validation system using smartphone luminescence”, IEEEInternational  Conference  on  Intelligent  Computing, Instrumentation   and   Control   Technologies   (ICICICT),   Pages:  235  –239,  2017.  DOI: 10.1109/ICICICT1.2017.8342566

    [30]   V.D.Ambeth  Kumar  et.al.  ,  “A  Survey  on  Face  Recognition  in  Video Surveillance,”  Lecturer  Notes  on  Computational  and  Mechanism,  Vol.  30,  pp: 699-708, 2019 

    [31]   V.  D.  Ambeth  Kumaret.al  , “  Cloud  enabled media  streaming   using  Amazon  Web  Services”,  IEEE International  Conference  on  Smart  Technologies  and Management  for  Computing,  Communication, Controls,  Energy  and  Materials, Pages:  195  –  198,  2-4  Aug.  2017,  India  (DOI: 10.1109/icstm.2017.8089150)

    [32]  K.  Nanagasabapathy;  G.  Harish;  O.  I.  Allen  Sebastian;  N.  Sowrabh  Chandra; V.   D.   Ambeth   Kumar,”   Validation   system   using   smartphone   luminescence”,  IEEE  International Conference on Intelligent Computing, Instrumentation   and   Control   Technologies   (ICICICT),   Pages: 235 – 239,  2017.  DOI: 10.1109/ICICICT1.2017.8342566

    [33]   V.D.Ambeth  Kumar  et.al.  ,  “A  Survey  on  Face  Recognition  in  Video  Surveillance,” , Lecturer  Notes  on  Computational  and  Mechanism,  Vol.  30,  pp: 699-708, 2019 

    [34]   V.  D.  Ambeth  Kumaret.al  , “  Cloud  enabled media  streaming   using  Amazon  Web  Services”,  IEEE International  Conference  on  Smart  Technologies  and  Management  for  Computing,  Communication, Controls,  Energy  and  Materials, Pages:  195  –  198,  2-4  Aug.  2017,  India  (DOI: 10.1109/icstm.2017.8089150)

    [35]   Mohammed  K.  Hassan  ,  Ahmed  K.  Hassan  ,  Ali  I.  Eldesouky, MSJEP  Classifier:  “Modified  Strong Jumping  Emerging  Patterns”  for  Fast  Efficient  Mining  and  for  handling  attributes  whose  values  are associated  with  taxonomies, Journal  of  Intelligent  Systems  and  Internet  of  Things, Vol.  0  , No.  2 , (2019) : 37-53 (Doi   :  https://doi.org/10.54216/JISIoT.000201)

    [36]  Vijay  K, Collaborating  The  Textual  Reviews  Of  The  Merchandise  and  Foretelling  The  Rating Supported  Social  Sentiment, Journal  of  Cognitive  Human-Computer  Interaction, Vol.  1  , No.  2 , (2021) : 63 - 72 (Doi   :  DOI: https://doi.org/10.54216/JCHCI.010203)

    [37]  P. Kavitha , R. Subha Shini , R. Priya, An Implementation Of Statistical Feature Algorithms For The Detection Of Brain Tumor, Journal of Cognitive Human-Computer Interaction, Vol. 1 , No. 2 , (2021) : 57 - 62 (Doi   :  DOI: https://doi.org/10.54216/JCHCI.010202)

    [38]  C. S. Manigandaa,V. D. Ambeth Kumar,G. Ragunath,R. Venkatesan,N. Senthil Kumar, De-Noising and Segmentation  of  Medical  Images  using  Neutrophilic  Sets, Journal  of  Fusion:  Practice  and Applications, Vol. 11 , No. 2 , (2023) : 111-123 (Doi   :  https://doi.org/10.54216/FPA.110208)

    [39]  S. Hemamalini,V. D. Ambeth Kumar,R. Venkatesan,S. Malathi, Relevance Mapping based CNN model with  OSR-FCA  Technique  for  Multi-label  DR  Classification, Journal  of  Fusion:  Practice  and Applications, Vol. 11 , No. 2 , (2023) : 90-110 (Doi   :  https://doi.org/10.54216/FPA.110207)

    [40]  Hamzah  A.  Alsayadi,El-Sayed  M.  El-Kenawy,Abdelhameed  Ibrahim,Marwa  M.  Eid,Abdelaziz  A. Abdelhamid, Blog  Feedback  Prediction  based  on  Ensemble  Machine  Learning  Regression  Model: Towards Data Fusion Analysis, Journal of Fusion: Practice and Applications, Vol. 9 , No. 1 , (2022) : 38-46 (Doi   :  https://doi.org/10.54216/FPA.090103)

     

    Cite This Article As :
    Manikandan, R.. , Keerthana, S.. , Sangavi, S.. , Madhumitha, R.. , G., A.. , Priya, D.. Android-based System for Intelligent Traffic Signal Control and Emergency Call Functionality. Journal of Cognitive Human-Computer Interaction, vol. , no. , 2023, pp. 31-44. DOI: https://doi.org/10.54216/JCHCI.050204
    Manikandan, R. Keerthana, S. Sangavi, S. Madhumitha, R. G., A. Priya, D. (2023). Android-based System for Intelligent Traffic Signal Control and Emergency Call Functionality. Journal of Cognitive Human-Computer Interaction, (), 31-44. DOI: https://doi.org/10.54216/JCHCI.050204
    Manikandan, R.. Keerthana, S.. Sangavi, S.. Madhumitha, R.. G., A.. Priya, D.. Android-based System for Intelligent Traffic Signal Control and Emergency Call Functionality. Journal of Cognitive Human-Computer Interaction , no. (2023): 31-44. DOI: https://doi.org/10.54216/JCHCI.050204
    Manikandan, R. , Keerthana, S. , Sangavi, S. , Madhumitha, R. , G., A. , Priya, D. (2023) . Android-based System for Intelligent Traffic Signal Control and Emergency Call Functionality. Journal of Cognitive Human-Computer Interaction , () , 31-44 . DOI: https://doi.org/10.54216/JCHCI.050204
    Manikandan R. , Keerthana S. , Sangavi S. , Madhumitha R. , G. A. , Priya D. [2023]. Android-based System for Intelligent Traffic Signal Control and Emergency Call Functionality. Journal of Cognitive Human-Computer Interaction. (): 31-44. DOI: https://doi.org/10.54216/JCHCI.050204
    Manikandan, R. Keerthana, S. Sangavi, S. Madhumitha, R. G., A. Priya, D. "Android-based System for Intelligent Traffic Signal Control and Emergency Call Functionality," Journal of Cognitive Human-Computer Interaction, vol. , no. , pp. 31-44, 2023. DOI: https://doi.org/10.54216/JCHCI.050204