World Electric Vehicle Journal, Journal Year: 2025, Volume and Issue: 16(5), P. 242 - 242
Published: April 22, 2025
The rapid growth of e-commerce has intensified the need for efficient and sustainable last-mile delivery solutions in urban environments. This paper explores integration electric vehicles (EVs) artificial intelligence (AI) into a combined framework to enhance environmental, operational, economic performance logistics. Through comprehensive literature review, we examine current trends, technological developments, implementation challenges at intersection smart mobility, green logistics, digital transformation. We propose an operational that leverages AI route optimization, fleet coordination, energy management EV-based networks. is validated through real-world case study conducted Lisbon, Portugal, where logistics provider implemented city consolidation center model supported by AI-driven optimization tools. Using key indicators—including time, consumption, utilization, customer satisfaction, CO₂ emissions—we measure pre- post-AI deployment impacts. results demonstrate significant improvements across all metrics, including 15–20% reduction 10–25% gain efficiency, up 40% decrease emissions. findings confirm synergy between EVs provides robust scalable achieving supporting broader mobility climate objectives.
Language: Английский