A Safe Vehicle Routing System based on Road Characteristics from Telematics Data

• Published in: 2024 IEEE 48th Annual Computers, Software, and Applications Conference (COMPSAC) pp. 1726 - 1731
• Main Authors: Tei, Hiroshi, Kawakami, Tomoya, Kawamoto, Yoshimi
• Format: Conference Proceeding
• Language: English
• Published: IEEE 02-07-2024
• Subjects: delivery planning; genetic algorithm; road characteristics; Roads; Safety; Simulation; Software; Software algorithms; Telematics; traffic accident; Vehicle routing
• ISSN: 2836-3795
• DOI: 10.1109/COMPSAC61105.2024.00272

In recent years, the rapid growth of the logistics and delivery industry has increased the demand for safe and efficient delivery planning. However, conventional navigation services do not take road and driver characteristics into account and recommend the same delivery route to every delivery person under the same settings. In this paper, the authors propose a safe and efficient delivery plan based on road characteristics by considering the risk and distance of each road segment estimated using telematics data. First, the proposed method uses clustering to determine the destinations to be handled by delivery personnel, and then uses a genetic algorithm to determine the route and order of delivery. The proposed method was simulated on two different road networks to evaluate its usefulness. The simulation results show that the proposed method can develop a delivery plan that satisfies the specific conditions and needs of delivery personnel and considers both safety and efficiency.