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ARS: Automatic Routing Solver with Large Language Models Our experiments show that ARS outperforms state-of-the-art LLM-based methods and commonly used solvers, automatically solving 91 67% of common VRPs and achieving at least a 30% improvement across all benchmarks
Path Planning Methods for Autonomous Vehicles at Intersections: A . . . This review paper presents a comprehensive analysis of major path-planning methods used in autonomous vehicle (AV) navigation at intersections, including graph-based, sampling-based, curve-based, optimization-based, and machine learning–based approaches, while also examining emerging AI-driven path planners to better understand their
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How Zeo’s AI Algorithms can Revolutionize Route Planning Zeo Route Planner employs smart AI algorithms that are designed to streamline logistical operations, enhance efficiency and reduce costs Here’s how it makes smarter route planning possible: Optimize routes with our algorithm, reducing travel time and costs efficiently
AI Route Planning in 2025: [Use Cases Benefits] By combining machine learning, IoT sensors and telematics feeds, and advanced AI in route optimization gives you a fully automated, self-improving backbone for your fleet The result is leaner operations, happier customers and the freedom to focus on growth instead of firefighting logistics
AI-Driven Energy-Efficient Routing in IoT-Based Wireless Sensor . . . - MDPI In this paper, we present a comprehensive review of over 100 studies of spanning conventional and AI-enhanced energy-efficient routing techniques It covers diverse approaches, including metaheuristics, machine learning, reinforcement learning, and AI-based cross-layer methods aimed at improving the performance of WSN-IoT systems