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Efficient Fuel Delivery at Your Fingertips: Develo** a Seamless On-Demand Fuel Delivery App with Flutter

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Cognitive Computing and Cyber Physical Systems (IC4S 2023)

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Abstract

The increasing demand for fuel due to the growth of automobiles in the market has led to the need for on-demand fuel supply applications that depend on user orders and requirements. When a vehicle runs out of fuel, it can be a hassle for the owner to push the car or seek help to reach the nearest gas station. For older people and those who are medically ill, this task can be even more difficult. Additionally, people must go to gas stations to fill up generators. To address these issues, we introduce a new solution for vehicle refueling and emergency power supplies through the development of an on-demand fuel delivery application. This application provides door-to-door coverage and allows end users to choose the type of fuel they need, order it, and receive it with ease. The outcome of this research paper will be the development of a mobile application using Flutter framework that offers a range of functionalities catering to both customers and fuel station owners. The application aims to provide a convenient platform for customers to order fuel, locate nearby gas stations, and assist owners in efficiently managing orders and monitoring station availability. By utilizing Flutter, a cross-platform development framework, the application will be compatible with both Android and iOS devices, ensuring a broader reach and accessibility for users. Flutter's rich UI capabilities and native-like performance will enable the creation of a visually appealing and seamless user experience.

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References

  1. Ahmed, A.A.I., Mohammed, S.A.E., Satte, M.A.M.H.: Fuel management system. In: 2017 International Conference on Communication, Control, Computing and Electronics Engineering (ICCCCEE), Khartoum, Sudan, pp. 1–7 (2017)

    Google Scholar 

  2. Chandrasiri, S.: Demand for road-fuel in a small develo** economy: the case of Sri Lanka. Energy Policy 34(14), 1833–1840 (2006)

    Article  Google Scholar 

  3. Nielsen India Private Limited: All India Study on Sectoral Demand of Diesel & Petrol. Ministry of Petroleum and Natural Gas (2013)

    Google Scholar 

  4. Rivera-González, L., Bolonio, D., García-López, G.A., Alvarez, M.: Long-term forecast of energy and fuels demand toward a sustainable road transport sector in Ecuador (2016–2035): a LEAP model application. Energies 12(20), 3849 (2019). https://doi.org/10.3390/en12203849

    Article  Google Scholar 

  5. Agarwal, P.: India's Petroleum Demand: Empirical Estimations and Projections for the Future. Institute of Economic Growth (IEG) University (2012)

    Google Scholar 

  6. Rabinovich, A., Azuri, Y., Shtilman, L.: Assessment of fuel delivery system of a high-performance UAV engine. J. Propul. Power 34(4), 880–888 (2018)

    Google Scholar 

  7. Gao, H., Liu, J., Huang, Q.: Fault diagnosis of fuel delivery system for diesel engine based on dynamic Bayesian network. J. Mech. Sci. Technol. 33(5), 2245–2253 (2019)

    Google Scholar 

  8. Huang, K., **e, S., Wang, X., Sun, L.: Design and simulation of a fuel delivery system for a variable compression ratio engine. Energies 13(22), 6029 (2020)

    Google Scholar 

  9. Wang, J., Liu, J., Huang, Q.: Design of a fuel delivery system for high-speed diesel engine based on digital simulation technology. Int. J. Automot. Technol. 22(3), 1045–1056 (2021)

    Google Scholar 

  10. Williams, T.M., Pearson, J.M.: Fuel Delivery Systems for Gasoline Direct Injection Engines. SAE Technical Paper, 2018–01–0312 (2018)

    Google Scholar 

  11. Manh, N.P., Jeong, H.G.: Modeling and control of a fuel delivery system for gasoline engines. Energies 10(8), 1221 (2017)

    Google Scholar 

  12. Kuo, Y.S., Chen, W.L.: Design and optimization of a fuel delivery system for a diesel engine using CFD simulation and RSM methodology. Energies 9(11), 918 (2016)

    Google Scholar 

  13. Sharpe, R.G., de Bruin, T.: Fuel delivery system modeling for high-pressure common rail diesel engines. J. Eng. Gas Turbines Power 136(6), 061505 (2014)

    Google Scholar 

  14. Ameen, S.Y., Mohammed, D.Y.: Develo** cross-platform library using flutter. Eur. J. Eng. Technol. Res. 7(2), 18–21 (2022)

    Article  Google Scholar 

  15. Wiriasto, G.W., Aji, R.W.S., Budiman, D.F.: Design and development of attendance system application using android-based flutter. In: 2020 Third International Conference on Vocational Education and Electrical Engineering (ICVEE), pp. 1–6 (2020)

    Google Scholar 

  16. Kavitha, M., Srinivas, P.V.V.S., Kalyampudi, P.S.L., Srinivasulu, S.: Machine learning techniques for anomaly detection in smart healthcare. In: 2021 Third International Conference on Inventive Research in Computing Applications (ICIRCA), Coimbatore, India, pp. 1350–1356 (2021). https://doi.org/10.1109/ICIRCA51532.2021.9544795

  17. Vadrevu, P.K., Veeramanickam, M.R.M., Adusumalli, S.K., Bunga, S.K.: Sign language recognition for needy people using machine learning model. In: Intelligent Computing and Applications: Proceedings of ICDIC, pp. 227–233 (2020). Singapore: Springer Nature Singapore, 2022

    Google Scholar 

  18. Kumar, I., Mishra, M.K., Mishra, R.K.: Performance analysis of NOMA downlink for next- generation 5G network with statistical channel state information. Ingénierie des Systèmes d’Information 26(4), 417–423 (2021). https://doi.org/10.18280/isi.260410

  19. Shankar, R., Kumar, I., Mishra, R.K.: Pairwise error probability analysis of dual hop relaying network over time selective Nakagami-m fading channel with imperfect CSI and node mobility. Traitement du Signal 36(3), 281–295 (2019). https://doi.org/10.18280/ts.360312

  20. Kumar, I., Kumar, A., Mishra, R.K.: Performance analysis of cooperative NOMA system for defense application with relay selection in a hostile environment. The Journal of Defense Modeling and Simulation (2022). doi:https://doi.org/10.1177/15485129221079721

  21. Ashish, I.K., Mishra, R.K.: Performance analysis for wireless non-orthogonal multiple access downlink systems. In: 2020 International Conference on Emerging Frontiers in Electrical and Electronic Technologies (ICEFEET), Patna, India, pp. 1–6 (2020). https://doi.org/10.1109/ICEFEET49149.2020.9186987

  22. Maurya, N.K., Kumari, S., Pareek, P., Singh, L.: Graphene-based frequency agile isolation enhancement mechanism for MIMO antenna in terahertz regime. Nano Communication Networks, p. 100436 (2023)

    Google Scholar 

  23. Maurya, N.K., Bhattacharya, R.: CPW-fed dual-band compact Yagi-type pattern diversity antenna for LTE and WiFi. Progress In Electromagnetics Research C 107, 183–201 (2021)

    Article  Google Scholar 

  24. Maurya, N.K., Bhattacharya, R.: Design of compact dual-polarized multiband MIMO antenna using near-field for IoT. AEU-International Journal of Electronics and Communications 117, 153091 (2020)

    Google Scholar 

  25. Kumar, I., Mishra, R.K.: An investigation of spectral efficiency in linear MRC and MMSE detectors with perfect and imperfect CSI for massive MIMO systems. Traitement du Signal 38(2), 495–501 (2021). https://doi.org/10.18280/ts.380229

  26. Kumar, I., Mishra, R.K.: An efficient ICI mitigation technique for MIMO-OFDM system in time-varying channels. Mathematical Modelling of Engineering Problems 7(1), 79–86 (2020). https://doi.org/10.18280/mmep.070110.

  27. Valarmathi, B., et al.: Price estimation of used cars using machine learning algorithms. In: International Conference on Cognitive Computing and Cyber Physical Systems, pp. 26–41 (2022). Springer Nature Switzerland, Cham

    Google Scholar 

  28. Biorn-Hansen, A., Rieger, C., et al.: An empirical investigation of performance overhead in cross-platform mobile development frameworks. In: Empirical Software Engineering 25, pp. 299730240 (2020). Springer

    Google Scholar 

  29. Kumar, I., Sachan, V., Shankar, R., Mishra, R.K.: An investigation of wireless S-DF hybrid satellite terrestrial relaying network over time selective fading channel. Traitement du Signal 35(2), 103–120 (2018). https://doi.org/10.3166/TS.35.103-120

  30. Kumar, I., Sachan, V., Shankar, R., Mishra, R.K.: Performance Analysis of Multi-User Massive MIMO Systems with Perfect and Imperfect CSI. Procedia Computer Science 167, pp. 1452–1461 (2020), ISSN 1877–0509. https://doi.org/10.1016/j.procs.2020.03.356

  31. Gupta, N., Kumar, I., Rathod, I., Sharma, S.S.P.M.: Sustainable Production Systems with ai and Emerging Technologies: A Moderator-Mediation Analysis. 12(Special Issue-8), 2819–2832 (2023). https://doi.org/10.48047/ecb/2023.12.si8.200

  32. Arb, G.I., Al-Majdi, K.: A freights status management system based on dart and flutter programming language. Journal of Physics: Conference Series 1530(1). IOP Publishing (2020)

    Google Scholar 

  33. Pareek, P., Maurya, N.K., Singh, L., Gupta, N., Reis, M.J.C.S.: Study of smart city compatible monolithic quantum well photodetector. In: International Conference on Cognitive Computing and Cyber Physical Systems, pp. 215–224 (2022). Springer Nature Switzerland, Cham

    Google Scholar 

  34. Li, L., et al.: CiD: automating the detection of API-related compatibility issues in Android apps. In: 27th ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), pp. 153–163 (2018)

    Google Scholar 

  35. Sharma, S.S.P.M., Ravishankar Kamath, H., Siva Brahmaiah Rama, V.: Modelling of cloud based online access system for solar charge controller International Journal of Engineering & Technology 7(2.21), 58–61 (2018)

    Google Scholar 

  36. Shalinee Gupta, S.S.P.M., Sharma, B.: Design and Development of an Intelligent Aqua Monitoring System using Cloud Based Online Access Control Systems International Journal of Recent Technology and Engineering (IJRTE) 8(4) (2019). ISSN: 2277–3878

    Google Scholar 

  37. Ravishankar Kamath, H., Sharma, S.S.P.M., Siva Brahmaiah Rama, V.: PWM based solar charge controller using IoT International Journal of Engineering & Technology 7(2.7), 284–288 (2018)

    Google Scholar 

  38. Ravishankar Kamath, H., Siva Brahmaiah Rama, V., Sharma, S.S.P.M.: Street Light Monitoring Using IOT International Journal of Engineering & Technology 7(2.7), 1008–1012 (2018)

    Google Scholar 

  39. Sharma, S.S.P.M., Kumar, A., Meena, B. K.: An Intelligent Solar Based Farm Monitoring using Cloud Based Online Access Control Systems International Journal of Recent Technology and Engineering (IJRTE) 8(3) (2019).ISSN: 2277–3878

    Google Scholar 

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Authors and Affiliations

  1. School of CSIT, Symbiosis University of Applied Sciences, Indore, India

    Navneet Mishra, Ritika Raghuwanshi & Indrajeet Kumar

  2. ECE, Vishnu Institute of Technology, Bhimavaram, Andhra Pradesh, India

    Naveen Kumar Maurya

Authors
  1. Navneet Mishra
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  2. Ritika Raghuwanshi
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  3. Naveen Kumar Maurya
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  4. Indrajeet Kumar
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Corresponding author

Correspondence to Indrajeet Kumar .

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Editors and Affiliations

  1. Vishnu Institute of Technology, Bhimavaram, Andhra Pradesh, India

    Prakash Pareek

  2. Norwegian University of Science and Technology, Gjøvik, Norway

    Nishu Gupta

  3. University of Trás-os-Montes e Alto Douro, Vila Real, Portugal

    M. J. C. S. Reis

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Mishra, N., Raghuwanshi, R., Maurya, N.K., Kumar, I. (2024). Efficient Fuel Delivery at Your Fingertips: Develo** a Seamless On-Demand Fuel Delivery App with Flutter. In: Pareek, P., Gupta, N., Reis, M.J.C.S. (eds) Cognitive Computing and Cyber Physical Systems. IC4S 2023. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 537. Springer, Cham. https://doi.org/10.1007/978-3-031-48891-7_11

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  • DOI: https://doi.org/10.1007/978-3-031-48891-7_11

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