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Review Article
Second-Hand Car Price Prediction Model in Nairobi
Brian Onyiego1
Emma Anyika2
James Obuhuma3
1 2Computing and Mathematics, Co-operative University of Kenya, Kenya. 3Computer Science, Maseno University, Kenya.
Published Online: September-December 2025
Pages: 100-104
Cite this article
↗ https://www.doi.org/10.59256/indjcst.20250403019
References
1. Bukvić I, Đonko D, Šimunović I. Predicting used car prices using machine learning techniques. Journal of Information and Organizational Sciences.2022;46(1):1–12
2. Gupta S, Kumar A, Singh M. Machine learning approaches for automobile price prediction. International Journal of Computer Applications. 2021;183(34):25–31
3. Zhu L. Second-hand car price prediction based on XGBoost algorithm. Procedia Computer Science. 2023;222:122–128
4. Lu J, Song Y. Application of regression models in vehicle price forecasting. International Journal of Data Science and Analytics. 2023;15(2):145– 154
5. Liu Y, Chen Q, Zhang H. Hybrid car price prediction model using particle swarm optimization, grey relational analysis, and neural networks. Applied Intelligence. 2022;52(11):12450–12462
6. Asghar S, Khan R, Iqbal S. Feature selection and Random Forest model for predicting used car prices. International Journal of Advanced Computer Science and Applications. 2021;12(5):112–120
7. Fathalla A, Shehab M, Hussein M. Deep learning approach for used car price prediction. International Conference on Artificial Intelligence and Data Analytics. 2020:221–227
8. Barlybayev A, Moldabekov Y, Toleubayev M. Neural networks for automotive price prediction: challenges and opportunities. IEEE Access.
9. 2023;11:42210–42221
10. Huang J. Multimodal deep learning for car price prediction using text and image features. International Journal of Machine Learning and Cybernetics. 2023;14(4):1225–1238
11. Msiza I. Preprocessing strategies for improving machine learning models in automotive pricing. South African Journal of Industrial Engineering. 2023;34(2):88–95
12. Chen L, Wang H, Zhao Y. Data preprocessing and feature engineering for predictive modeling in car markets. Expert Systems with Applications. 2022;204:117–130
13. Ghosh S. Macroeconomic factors affecting second-hand car prices: an emerging market perspective. Journal of Economic Studies. 2018;45(6):1221– 1235
14. Guo X, Li J, Sun P. Train-validation-test splits in applied machine learning: guidelines and best practices. ACM Computing Surveys. 2023;55(8):1– 30
2. Gupta S, Kumar A, Singh M. Machine learning approaches for automobile price prediction. International Journal of Computer Applications. 2021;183(34):25–31
3. Zhu L. Second-hand car price prediction based on XGBoost algorithm. Procedia Computer Science. 2023;222:122–128
4. Lu J, Song Y. Application of regression models in vehicle price forecasting. International Journal of Data Science and Analytics. 2023;15(2):145– 154
5. Liu Y, Chen Q, Zhang H. Hybrid car price prediction model using particle swarm optimization, grey relational analysis, and neural networks. Applied Intelligence. 2022;52(11):12450–12462
6. Asghar S, Khan R, Iqbal S. Feature selection and Random Forest model for predicting used car prices. International Journal of Advanced Computer Science and Applications. 2021;12(5):112–120
7. Fathalla A, Shehab M, Hussein M. Deep learning approach for used car price prediction. International Conference on Artificial Intelligence and Data Analytics. 2020:221–227
8. Barlybayev A, Moldabekov Y, Toleubayev M. Neural networks for automotive price prediction: challenges and opportunities. IEEE Access.
9. 2023;11:42210–42221
10. Huang J. Multimodal deep learning for car price prediction using text and image features. International Journal of Machine Learning and Cybernetics. 2023;14(4):1225–1238
11. Msiza I. Preprocessing strategies for improving machine learning models in automotive pricing. South African Journal of Industrial Engineering. 2023;34(2):88–95
12. Chen L, Wang H, Zhao Y. Data preprocessing and feature engineering for predictive modeling in car markets. Expert Systems with Applications. 2022;204:117–130
13. Ghosh S. Macroeconomic factors affecting second-hand car prices: an emerging market perspective. Journal of Economic Studies. 2018;45(6):1221– 1235
14. Guo X, Li J, Sun P. Train-validation-test splits in applied machine learning: guidelines and best practices. ACM Computing Surveys. 2023;55(8):1– 30
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