Netpas Official

[3] Bast, H., et al. (2016). "Route Planning in Transportation Networks." ArXiv preprint arXiv:1504.05140 .

Author: [Generated Academic Profile] Affiliation: Institute for Transport Informatics Date: April 14, 2026 Abstract In modern supply chain management, the minimization of empty running and fuel costs is paramount. This paper evaluates Netpas , a Japanese-origin logistics platform, focusing on its core algorithm for shortest path search and cost simulation in multimodal transport. We analyze the transition from traditional Dijkstra-based heuristics to machine-learning-enhanced predictive routing. Empirical data suggests that Netpas reduces empty mileage by approximately 18–25% compared to manual dispatch methods. The paper concludes with a discussion on the limitations of static distance tables and proposes a hybrid model for real-time carbon footprint calculation. netpas

[4] Ministry of Land, Infrastructure, Transport and Tourism (MLIT), Japan. (2025). Freight Vehicle Movement Survey . [3] Bast, H

| Metric | Human Dispatcher | OSRM | Netpas (v4.2) | | :--- | :--- | :--- | :--- | | | 342 | 308 | 295 | | Empty Running Rate (%) | 28% | 22% | 18% | | Computational Time (ms/route) | 120,000 (manual) | 12 | 85 | | Toll Cost Accuracy | ±15% | ±22% | ±4% | Empirical data suggests that Netpas reduces empty mileage

[2] Netpas, Inc. (2023). White Paper: Optimization of Empty Running in Japanese Logistics . Tokyo: Netpas Technical Report NTR-22.