ANDROID BASED CAR POOLING SYSTEM
AUTHORS:
Mentor
Prof. S. Punde
Affiliation
Computer Department Loknete Gopinathji Munde Institute of Engineering Education & Research Nashik
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Abstract
The increasing demand for sustainable transportation solutions has led to the rise of carpooling systems that aim to reduce traffic congestion, travel costs, and environmental impact. This paper presents the design and development of an Android-based Car Pooling System, tailored to provide a seamless ride-sharing experience for users. The system enables drivers to offer available seats in their vehicles while allowing passengers to find and join rides based on real-time GPS data. A key feature of the application is the integration of a Decision Tree algorithm to efficiently match riders with drivers based on factors such as proximity, route similarity, and user preferences. Additionally, the system introduces driver-controlled fare settings, allowing flexibility and transparency in ride pricing. Special considerations for safety, including a female-only ride option and an SOS alert feature, are incorporated to enhance user trust and security. Designed with scalability and affordability in mind, this project offers an effective solution for everyday commuters, particularly within budget constraints. The proposed system demonstrates the potential of leveraging mobile technology to create smarter, safer, and more eco-friendly urban mobility options.
Keywords
Android Application Car Pooling Ride Sharing Decision Tree Algorithm GPS Integration Dynamic Fare Setting Female-Only Ride Option Ride Matching Urban Mobility Sustainable Transportation User Safety Real-Time Tracking.
Article Information
PUBLICATION DETAILS
Review Type:
Double-Blind Peer Review
License:
CC BY-NC 4.0
Volume/Issue:
Volume Volume 10, Issue 01
Review Rounds:
2
Article Type:
Research Article
Publication Date:
Feb 24 2026
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Jadhav, S. B. ,. K. S. ,. D. (2026). Android Based Car Pooling System. International Journal of Science, Strategic Management and Technology, Volume 10(01). https://doi.org/10.55041/ijsmt.v2i2.139
Jadhav, Saee. "Android Based Car Pooling System." International Journal of Science, Strategic Management and Technology, vol. Volume 10, no. 01, 2026, pp. . doi:https://doi.org/10.55041/ijsmt.v2i2.139.
Jadhav, Saee. "Android Based Car Pooling System." International Journal of Science, Strategic Management and Technology Volume 10, no. 01 (2026). https://doi.org/https://doi.org/10.55041/ijsmt.v2i2.139.
References
1.Lu, X., Li, J., & Wang, M. (2017). CARE-Share: A Cooperative and Adaptive Strategy for Distributed Taxi Ride Sharing. IEEE Transactions on Intelligent Transportation Systems, 18(12), 3454–3463. DOI: 10.1109/TITS.2021.3066439
2.Zhang, H., Chen, Y., & Liu, X. (2019). XGBoost-Based Dynamic Ride-Sharing Model for Urban Commuters. Transportation Research Part C: Emerging Technologies, 103, 398–412. DOI: 10.1016/j.trc.2019.04.005
3.Patel, A., Sharma, V., & Kumar, S. (2024). Development and Implementation of Bicata: An Android-Based Carpooling Application. International Journal of Mobile Computing, 12(1), 50–60. DOI: 10.17148/IJARCCE.2016.53138
4.Amey, A., Attanucci, J., & Mishalani, R. (2011). Real-Time Dynamic Ride-Sharing: Exploring Service Models. Transportation Research Record: Journal of the Transportation Research Board, 2217(1), 67–74. DOI: 10.3141/2217-13
5.Agatz, N., Erera, A., Savelsbergh, M., & Wang, X. (2012). Optimization for Dynamic Ride-Sharing: A Review. European Journal of Operational Research, 223(2), 295–303. DOI: 10.1016/j.ejor.2012.05.028
6.Geisberger, R., Luxen, D., Neubauer, S., Sanders, P., & Volker, L. (2013). Fast Detour Computation for Ride Sharing. ACM Journal of Experimental Algorithmics, 18(1), 1.1–1.17. DOI: 10.1145/2444016.2444018
7.Furuhata, M., Dessouky, M., Ordóñez, F., Brunet, M., Wang, X., & Koenig, S. (2013). Ridesharing: The State-of-the-Art and Future Directions. Transportation Research Part B: Methodological, 57, 28–46. DOI: 10.1016/j.trb.2013.08.012
8.Saini, R., & Madaan, J. (2015). Ensuring Women's Safety in Ride-Sharing Systems through Gender-Based Ride Options. Procedia Computer Science, 54, 222–231. DOI: 10.1016/j.procs.2015.06.025
9.Shaheen, S., & Cohen, A. (2019). Shared Ride Services in North America: Definitions, Impacts, and the Future. Transportation Reviews, 39(4), 427–442. DOI: 10.1080/01441647.2018.1497728
10.Chen, X., He, F., & Yin, Y. (2020). Efficient Ride Matching in Dynamic Ridesharing Using Decision Trees. Transportation Research Part C: Emerging Technologies, 117, 102671. DOI: 10.1016/j.trc.2020.102671
2.Zhang, H., Chen, Y., & Liu, X. (2019). XGBoost-Based Dynamic Ride-Sharing Model for Urban Commuters. Transportation Research Part C: Emerging Technologies, 103, 398–412. DOI: 10.1016/j.trc.2019.04.005
3.Patel, A., Sharma, V., & Kumar, S. (2024). Development and Implementation of Bicata: An Android-Based Carpooling Application. International Journal of Mobile Computing, 12(1), 50–60. DOI: 10.17148/IJARCCE.2016.53138
4.Amey, A., Attanucci, J., & Mishalani, R. (2011). Real-Time Dynamic Ride-Sharing: Exploring Service Models. Transportation Research Record: Journal of the Transportation Research Board, 2217(1), 67–74. DOI: 10.3141/2217-13
5.Agatz, N., Erera, A., Savelsbergh, M., & Wang, X. (2012). Optimization for Dynamic Ride-Sharing: A Review. European Journal of Operational Research, 223(2), 295–303. DOI: 10.1016/j.ejor.2012.05.028
6.Geisberger, R., Luxen, D., Neubauer, S., Sanders, P., & Volker, L. (2013). Fast Detour Computation for Ride Sharing. ACM Journal of Experimental Algorithmics, 18(1), 1.1–1.17. DOI: 10.1145/2444016.2444018
7.Furuhata, M., Dessouky, M., Ordóñez, F., Brunet, M., Wang, X., & Koenig, S. (2013). Ridesharing: The State-of-the-Art and Future Directions. Transportation Research Part B: Methodological, 57, 28–46. DOI: 10.1016/j.trb.2013.08.012
8.Saini, R., & Madaan, J. (2015). Ensuring Women's Safety in Ride-Sharing Systems through Gender-Based Ride Options. Procedia Computer Science, 54, 222–231. DOI: 10.1016/j.procs.2015.06.025
9.Shaheen, S., & Cohen, A. (2019). Shared Ride Services in North America: Definitions, Impacts, and the Future. Transportation Reviews, 39(4), 427–442. DOI: 10.1080/01441647.2018.1497728
10.Chen, X., He, F., & Yin, Y. (2020). Efficient Ride Matching in Dynamic Ridesharing Using Decision Trees. Transportation Research Part C: Emerging Technologies, 117, 102671. DOI: 10.1016/j.trc.2020.102671
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