EV TRIP PLANNER WITH ENVIRONMENTAL APIS: A SURVEY ON INTELLIGENT BATTERY DRAIN PREDICTION USING WEATHER, ELEVATION, AND SPEED FACTORS
DOI: 
SHARE THIS ARTICLE
DOWNLOAD ARTICLE
REVIEW REPORT
CITE THIS ARTICLE
Electric Vehicles (EVs) are rapidly transforming urban mobility; however, accurately predicting real-world battery drain remains a fundamental challenge for route-planning applications. This survey paper synthesizes and extends four state-of-the-art research works that collectively address urban link travel-time estimation from sparse GPS data, hybrid AI-based recommender systems for trip planning, multi-objective tourist itinerary optimization, and stochastic geometry modeling of dynamic EV charging road deployment. We integrate their findings into a unified conceptual framework for an EV Trip Planner that computes real-time battery consumption by coupling three environmental APIs: (1) a weather API whose temperature data modulates lithium-ion chemical efficiency, (2) the Mapbox Elevation API whose terrain gradients drive a physics-based energy model, and (3) highway speed limits that govern aerodynamic drag. Our analysis identifies critical gaps in existing literature — specifically the absence of joint environmental-routing optimization for EVs — and proposes an architecture that addresses these gaps for the Vision Astra EV Academy TechBuild project.
Keywords
Article Information
Article Metrics
HOW TO CITE
Copy
CY, A. K. (2026). EV Trip Planner with Environmental Apis: A Survey on Intelligent Battery Drain Prediction using Weather, Elevation, and Speed Factors. International Journal of Science, Strategic Management and Technology, 02(05). https://doi.org/10.55041/ijsmt.v2i5.077
CY, Abhinava. "EV Trip Planner with Environmental Apis: A Survey on Intelligent Battery Drain Prediction using Weather, Elevation, and Speed Factors." International Journal of Science, Strategic Management and Technology, vol. 02, no. 05, 2026, pp. . doi:https://doi.org/10.55041/ijsmt.v2i5.077.
CY, Abhinava. "EV Trip Planner with Environmental Apis: A Survey on Intelligent Battery Drain Prediction using Weather, Elevation, and Speed Factors." International Journal of Science, Strategic Management and Technology 02, no. 05 (2026). https://doi.org/https://doi.org/10.55041/ijsmt.v2i5.077.
References
[2] K. AL Fararni, F. Nafis, B. Aghoutane, A. Yahyaouy, J. Riffi, and A. Sabri, "Hybrid Recommender System for Tourism Based on Big Data and AI: A Conceptual Framework," Big Data Mining and Analytics, vol. 4, no. 1, pp. 47–55, Mar. 2021. DOI: 10.26599/BDMA.2020.9020015
[3] S. Choachaicharoenkul, D. Coit, and N. Wattanapongsakorn, "Multi-Objective Trip Planning With Solution Ranking Based on User Preference and Restaurant Selection," IEEE Access, vol. 10, pp. 10688–10705, 2022. DOI: 10.1109/ACCESS.2022.3144855
[4] D. M. Nguyen, M. A. Kishk, and M.-S. Alouini, "Modeling and Analysis of Dynamic Charging for EVs: A Stochastic Geometry Approach," IEEE Open Journal of Vehicular Technology, vol. 2, pp. 17–44, 2021. DOI: 10.1109/OJVT.2020.3032588
[5] D. Bertsimas, A. Delarue, P. Jaillet, and S. Martin, "Travel Time Estimation in the Age of Big Data," Operations Research, vol. 67, no. 2, pp. 498–515, 2019.
[6] P. Vansteenwegen and A. Gunawan, Orienteering Problems: Models and Algorithms for Vehicle Routing Problems With Profits. Cham: Springer, 2019.
[7] G. Adomavicius and A. Tuzhilin, "Toward the Next Generation of Recommender Systems: A Survey of the State-of-the-Art and Possible Extensions," IEEE Transactions on Knowledge and Data Engineering, vol. 17, no. 6, pp. 734–749, 2005.
[8] B. Nykvist and M. Nilsson, "Rapidly Falling Costs of Battery Packs for Electric Vehicles," Nature Climate Change, vol. 5, no. 4, pp. 329–332, 2015.
[9] H. S. Dhillon and V. V. Chetlur, Poisson Line Cox Process: Foundations and Applications to Vehicular Networks. San Rafael: Morgan & Claypool, 2020.
[10] T. Hunter, R. Herring, P. Abbeel, and A. Bayen, "Path and Travel Time Inference from GPS Probe Vehicle Data," NIPS Workshop on Analyzing Networks and Learning with Graphs, 2009.
Ethics and Compliance
Indexed In
Similar Articles
Previous Article
