24X7 - Travelling Womens Safety in Metrocity Traffic

Devikanniga Devarajan

doi:10.34256/ijcci2224

Devikanniga Devarajan Department of Computer Science and Engineering, JAIN (Deemed-to-be University), Bangalore, Karnataka-562112

Keywords: Mobile Computing, Dijkstra’s shortest path algorithm, Breadth First Search (BFS), Shortest Path Tree (SPT), Global Positioning System (GPS) and android

Abstract

As technology has advanced quickly, more individuals are using smartphones for a variety of functions such as marketing, business, social media, surfing, etc. This has also increased the threat of information sharing across various sites, which is one of the major reasons for harassment cases and other security threats against women. Surveys reveal that, smartphone usage by women has risen upto 5 folds in the last 6 years which is an average increase by 27% per annum. The increase in usage means that, there are high chances for misuse of information which results in security threats for women. The proposed system aims to create awareness of smartphone usage in mobile computing among women to efficiently handle it by avoiding physical assaults and harassments against women. It focuses to provide a Global Positioning System (GPS) dependent, android based safety application exclusively designed for women who travel farther distances on daily basis. Here it is implemented with help of Dijkstra’s Algorithm to find out locations based on Breadth First Search to form shorted path tree for reachable locations.

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References

E. D. G. Vinarao et al., Athena: A Mobile Based Application for Women's Safety with GPS Tracking and Police Notification for Rizal Province, 2019 IEEE Student Conference on Research and Development (SCOReD), (2019) 117-122. https://doi.org/10.1109/SCORED.2019.8896274

M. V. Shenoy, S. Sridhar, G. Salaka, A. Gupta and R. Gupta, A Holistic Framework for Crime Prevention, Response, and Analysis with Emphasis on Women Safety Using Technology and Societal Participation, in IEEE Access, 9 (2021) 66188-66207. https://doi.org/10.1109/ACCESS.2021.3076016

S. A. Akash, M. Al-Zihad, T. Adhikary, M. A. Razzaque and A. Sharmin, "HearMe: A smart mobile application for mitigating women harassment," IEEE International WIE Conference on Electrical & Computer Engineering (2016) 87-90. https://doi.org/10.1109/WIECON-ECE.2016.8009093

V, Mareeswari & Patil, Sunita. Smart Device for Ensuring Women Safety Using Android App. Lecture Notes in Electrical Engineering, (2018) 186-197. http://dx.doi.org/10.1007/978-981-10-8240-5_21

S. K. Sharma and P. Ranjana, Women Safety-Saviour Android Application, International Conference on Advance Computing and Innovative Technologies in Engineering, (2022) 1552-1556. https://doi.org/10.1109/ICACITE53722.2022.9823496

Paradkar, Abhijit, and Deepak Sharma, All in one Intelligent Safety System for Women Security," International Journal of Computer Applications, 130(11) (2015) 33-40.

Sirish Kumar Pagoti, Srilatha Indira Dutt Vemuri, and Ganesh Laveti, GPS Receiver Position AugmentationUsingCorrentropy Kalman Filter in LowLatitudeTerrain, The International Arab Journal of Information Technology, 19(1) (2022) 72-80. https://doi.org/10.34028/iajit/19/1/9

Chakrabartty, Aparajita & Gupta, Sudakshina, Traffic Congestion in the Metropolitan City of Kolkata. Journal of Infrastructure Development, 6 (2016) 43-59. https://doi.org/10.1177/0974930614543046

R. Pavitra and S. Karthikeyan, Survey on womens safety mobile app development,"International Conference on Innovations in Information, Embedded and Communication Systems, (2017) 1-5. https://doi.org/10.1109/ICIIECS.2017.8276048

R. S. Yarrabothu and B. Thota, "Abhaya: An Android App for the safety of women," 2015 Annual IEEE India Conference (INDICON), (2015) 1-4. https://doi.org/10.1109/INDICON.2015.7443652

Nasim Matar, Tirad Almalahmeh, Bilal Sowan, Saheer Al-Jaghoub and Wasef Mater, A Multi-Group Structural Equation Modeling For Assessing Behavioral Intention of Using Mobile Cloud Computing-The Case of Jordanian Universities During the Covid19 Pandemic, The International Arab Journal of Information Technology, 19(2) (2022). https://doi.org/10.34028/iajit/19/2/7

Kamarudin and S. Salam, Enabling mobile Location Based Services for emergency cases, 2011 International Conference on Research and Innovation in Information Systems, (2011) 1-6. https://doi.org/10.1109/ICRIIS.2011.6125696

P. Chaudhari, R. Kamte, K. Kunder, A. Jose and S. Machado, Street Smart’: Safe Street App for Women Using Augmented Reality, 2018 Fourth International Conference on Computing Communication Control and Automation (ICCUBEA), 2018, pp. 1-6. https://doi.org/10.1109/ICCUBEA.2018.8697863

Dr. K Srinivas, Dr. Suwarna Gothane, C. Saisha Krithika, Anshika, T. Susmitha, "Android App for Women Safety", International Journal of Scientific Research in Computer Science, Engineering and Information Technology 7(3) (2021) 378-386. https://doi.org/10.32628/CSEIT1217368