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3 articles for “data-driven approaches for route safety”
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Survey of Predictive Models for Safe Route Predicting Using Machine Learning Techniques
Abstract: Safe route prediction is essential for the well-being and security of individuals in urban and rural environments. Machine learning techniques leverage historical data, real-time information, and algorithms to estimate the safety levels of different routes. The objective of safe route planning is to minimize risks, including crime-prone areas and accidents, reducing potential harm, property damage, and emotional distress. However, challenges arise from the complex and dynamic nature of urban environments, …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 11, Issue 1, 2024 · pp. 13–22 Read article
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Critical Review on Multifunctional Polymer Composites for Weight Reduction and AI Based Battery Thermal Management in Electric Vehicles
Abstract: The rapid growth of electric vehicles (EVs) has intensified the need for advanced materials and intelligent control systems capable of improving energy efficiency, driving range, thermal safety, and overall vehicle sustainability. This paper presents a critical review of multifunctional polymer composites and artificial intelligence-based battery thermal management systems (AI-BTMS) for next-generation EV applications. Polymer composites reinforced with carbon fibers, graphene, boron nitride, nanoclays, and carbon nanotubes offer significant advantages over …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 603–619 Read article
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A Comprehensive Study on IOT Based Smart Street Light Management System Using Dynamic Brightness Control
Abstract: Street lighting is vital in urban centers for ensuring public safety, enhancing security, and promoting energy efficiency. However, traditional lighting systems often lack adaptability and responsiveness, leading to increased energy consumption and higher operational costs. To address these challenges, this preliminary report introduces an innovative IoT-driven smart lighting control system utilizing Bolt WiFi module technology. This smart lighting system marks a significant advancement in urban lighting management. By integrating IoT …
Published in Journal of Thin Films, Coating Science Technology & Application · Vol. 11, Issue 1, 2024 · pp. 10–15 Read article