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Original Article
Route Map AI: An Intelligent Route Optimization System Integrating GIS and Machine Learning for Real-Time Navigation
Dr. V. Dhanakoti1
M. Kishore2
M. Kishore3
R. Manoj4
1 Professor, Department of Computer Science and Engineering, SRM Valliammai Engineering College, Chennai, Tamilnadu, India. 2 3 4 Department of Computer Science and Engineering, SRM Valliammai Engineering College, Chennai, Tamilnadu, India.
Published Online: March-April 2026
Pages: 217-230
Cite this article
↗ https://www.doi.org/10.59256/ijrtmr.20260602031
References
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Advanced Transportation, ISSN: 0197-6729, DOI: 10.1155/2020/3247847, Vol. 2020, pp. 1–16, 2020.
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10.1109/ACCESS.2022.3213798, Vol. 10, pp. 99743–99763, 2022.
[14] J. Lee et al., "Smart Mobility with Big Data: Approaches, Applications, and Challenges," Applied Sciences, ISSN: 2076-3417, DOI:
10.3390/app13127244, Vol. 13, Issue 12, pp. 7244–7263, 2023.
[15] A. Kalinichenko et al., "Smart Routing for Sustainable Shipping: A Review of Trajectory Optimization Approaches in Waterborne
Transport," Sustainability, ISSN: 2071-1050, DOI: 10.3390/su17188466, Vol. 17, Issue 18, pp. 8466–8482, 2025.
[16] X. Li, "Design and Optimization of Intelligent Traffic Vehicle Routing Models Based on Deep Learning," Advances in
Transdisciplinary Engineering, ISSN: 2352- 7517, DOI: 10.3233/ATDE250482, Vol. 53, pp. 482–489,2025.
[17] A. Dikshit et al., "The Use of Artificial Intelligence to Optimize the Routing of Vehicles and Reduce Traffic Congestion in Urban
Areas," EAI Endorsed Transactions on Energy Web, ISSN: 2032-9405, DOI: 10.4108/ew.4613, Vol. 10, Issue 42, pp. 1–8, 2023.
[18] X. Liu et al., "Urban Traffic Flow Prediction Based on Multi-Spatio-Temporal Feature Fusion," Neurocomputing, ISSN: 0925-2312,
DOI: 10.1016/j.neucom.2025.130117, Vol. 573, pp. 130117, 2025.
[19] Z. Li et al., "A Hybrid Framework for Spatio-Temporal Traffic Flow Prediction with Multi-Scale Feature Extraction," Information
Sciences, ISSN: 0020-0255, DOI: 10.1016/j.ins.2025.122259, Vol. 716, pp. 122259, 2025.
10.1016/j.asoc.2020.106694, Vol. 96, pp.106694–106705, 2020.
[2] F. Zhang et al., "Urban Link Travel Time Prediction Based on a Gradient Boosting Method Considering Spatiotemporal Correlations,"
ISPRS International Journal of Geo-Information, ISSN: 2220-9964, DOI: 10.3390/ijgi5110201, Vol. 5, Issue 11, pp. 201–215, 2016.
[3] C. He, "Optimization of Urban Intelligent Transportation Travel Service System Based on Feature Extraction and Traffic Prediction,"
Applied Mathematics and Nonlinear Sciences, ISSN: 2444-8656,DOI10.2478/amns.2023.2.01280, Vol. 9, Issue 1, pp.
1–12, 2024.
[4] X. Zhang et al., "Short-Term Traffic Flow Prediction Based on Spatio-Temporal Analysis and CNN Deep Learning," Transportmetrica
A: Transport Science, ISSN: 2324-9935, DOI: 10.1080/23249935.2019.1637966, Vol.15, Issue 2, pp. 1557–1579, 2019.
[5] H. Wang et al., "Optimal Transshipment Route Planning Method Based on Deep Learning for Multimodal Transport Scenarios,"
Electronics, ISSN: 2079-9292, DOI: 10.3390/electronics12020417, Vol. 12, Issue 2, pp. 417–430,2023.
[6] J. Guo et al., "An Online Learning Collaborative Method for Traffic Forecasting and Routing Optimization," IEEE Transactions on
Intelligent Transportation Systems, ISSN: 1558-0016, DOI: 10.1109/TITS.2020.2986158, Vol. 22, Issue 11, pp. 6985–6998, 2021.
[7] Y. Hu et al., "Optimal Route Planning System for Logistics Vehicles Based on Artificial Intelligence," Journal of Internet Technology,
ISSN: 1607-9264, DOI: 10.3966/160792642020012101005, Vol. 21, Issue 1, pp. 67–78, 2020.
[8] J. Wang et al., "Real-Time Urban Regional Route Planning Model for Connected Vehicles Based on V2X Communication," Journal ofTransport and Land Use, ISSN: 1938-7849, DOI: 10.5198/JTLU.2020.1598, Vol. 13, Issue 1, pp. 355–372, 2020.
[9] L. Ma et al., "Deep Reinforcement Learning for Personalized Route Planning in Agricultural Tourism," Informatica, ISSN: 0868-4952,
DOI: 10.31449/inf. v49i28.6865, Vol. 49, Issue 28, pp. 145–158, 2025.
[10] Y. Zizi et al., "Dynamic Route Optimization in Smart Logistics Using Hybrid Machine Learning Models," Applied Sciences, ISSN:
2076-3417, DOI: 10.3390/app14052015, Vol. 14, Issue 5, pp. 2015–2027, 2024.
[11] M. Rahim et al., "Optimizing Future Metro Route Alignment with Machine Learning and Geospatial Techniques," Innovative
Infrastructure Solutions, ISSN: 2364-4176, DOI: 10.1007/s41062-025-02193-6, Vol. 10,Issue 4, pp. 1–13, 2025.
[12] L. Kang et al., "Urban Traffic Travel Time Short-Term Prediction Model Based on Spatio-Temporal Feature Extraction," Journal of
Advanced Transportation, ISSN: 0197-6729, DOI: 10.1155/2020/3247847, Vol. 2020, pp. 1–16, 2020.
[13] W. Yu et al., "State-of-the-Art Review on Traffic Control Strategies for Emergency Vehicles," IEEE Access, ISSN: 2169-3536, DOI:
10.1109/ACCESS.2022.3213798, Vol. 10, pp. 99743–99763, 2022.
[14] J. Lee et al., "Smart Mobility with Big Data: Approaches, Applications, and Challenges," Applied Sciences, ISSN: 2076-3417, DOI:
10.3390/app13127244, Vol. 13, Issue 12, pp. 7244–7263, 2023.
[15] A. Kalinichenko et al., "Smart Routing for Sustainable Shipping: A Review of Trajectory Optimization Approaches in Waterborne
Transport," Sustainability, ISSN: 2071-1050, DOI: 10.3390/su17188466, Vol. 17, Issue 18, pp. 8466–8482, 2025.
[16] X. Li, "Design and Optimization of Intelligent Traffic Vehicle Routing Models Based on Deep Learning," Advances in
Transdisciplinary Engineering, ISSN: 2352- 7517, DOI: 10.3233/ATDE250482, Vol. 53, pp. 482–489,2025.
[17] A. Dikshit et al., "The Use of Artificial Intelligence to Optimize the Routing of Vehicles and Reduce Traffic Congestion in Urban
Areas," EAI Endorsed Transactions on Energy Web, ISSN: 2032-9405, DOI: 10.4108/ew.4613, Vol. 10, Issue 42, pp. 1–8, 2023.
[18] X. Liu et al., "Urban Traffic Flow Prediction Based on Multi-Spatio-Temporal Feature Fusion," Neurocomputing, ISSN: 0925-2312,
DOI: 10.1016/j.neucom.2025.130117, Vol. 573, pp. 130117, 2025.
[19] Z. Li et al., "A Hybrid Framework for Spatio-Temporal Traffic Flow Prediction with Multi-Scale Feature Extraction," Information
Sciences, ISSN: 0020-0255, DOI: 10.1016/j.ins.2025.122259, Vol. 716, pp. 122259, 2025.
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