Development of Technology to Adjust and Update Road Maps using 3D Models or Inspection Data of Road Pavements

2023 Fiscal Year Final Research Report

• Project/Area Number: 20K04648
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Review Section: Basic Section 22010:Civil engineering material, execution and construction management-related
• Research Institution: Hosei University
• Principal Investigator: Imai Ryuichi 法政大学, デザイン工学部, 教授 (90599143)
• Co-Investigator(Kenkyū-buntansha): 谷口 寿俊 九州大学, 工学研究院, 准教授 (10648611) ; 塚田 義典 摂南大学, 経営学部, 准教授 (50622643)
• Project Period (FY): 2020-04-01 – 2024-03-31
• Keywords: i-Construction / 3次元モデル / 道路地図 / 点群データ / 地図調整

Outline of Final Research Achievements

In this study, we focused on the affinity between 3D models and road maps, and engaged in research and development of technologies for generating 3D models from ICT construction data of road pavements, and for superimposing and adjusting road ledger maps and dynamic maps using the 3D models. Using log data of road paving machines used in the pavement construction of motorway, we confirmed that it's possible to generate 3D models of the surface layer, base layer, upper roadbed, and lower roadbed, which constitute the road pavement, and that the thickness of each layer can be recorded on the parcel lines of a road map.

Free Research Field

都市交通，測量・計測，土木情報学

Academic Significance and Societal Importance of the Research Achievements

本研究成果を活用すると，建機のログデータ，ドライブレコーダーやプローブデータ等のセンシング技術によって準リアルタイムに得られる情報を道路地図に反映することが可能となる．そのため，道路地図の活用拡大と道路維持管理の品質向上，そして安全運転支援や自動運転に必要となる高精度な道路地図の情報鮮度を確保する有効な手段となり得る．