RideConnect : The Future of Auto Driver Efficiency

Gajanan Bhusare; Dinesh Bendre; Girish Bhosale; Avdhoot Walunjkar

doi:10.32628/CSEIT2410262

Authors

Gajanan Bhusare Artificial Intelligence and Data Science, Zeal College of Engineering and Research, Pune, Maharashtra, India Author
Dinesh Bendre Artificial Intelligence and Data Science, Zeal College of Engineering and Research, Pune, Maharashtra, India Author
Girish Bhosale Artificial Intelligence and Data Science, Zeal College of Engineering and Research, Pune, Maharashtra, India Author
Avdhoot Walunjkar Artificial Intelligence and Data Science, Zeal College of Engineering and Research, Pune, Maharashtra, India Author

DOI:

https://doi.org/10.32628/CSEIT2410262

Keywords:

Auto-Rickshaw, Mobile Application, Route Optimization, Waiting Time Optimization

Abstract

This research paper proposes RideConnect, a mobile application designed to transform urban transportation by connecting commuters with auto-rickshaw drivers in real-time. The project addresses challenges faced by traditional taxi booking systems, including extended waiting times and suboptimal route planning, by leveraging advanced technologies such as HTML, CSS, JavaScript, React, Node.js, APIs, and databases. Key objectives include optimizing waiting times, implementing route optimization algorithms, ensuring secure payment gateways, and fostering a two-way rating system. RideConnect aims to revolutionize the rick-shaw booking experience, offering users a seamless and efficient transportation solution while creating economic opportunities for auto-rickshaw drivers.

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References

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