手法を比較

	舗装ME設計	テルツァギの圧密	交通流（LWRモデル）
分野	土木工学	土木工学	土木工学
系統	Process / pipeline	Process / pipeline	Process / pipeline
提唱年	2008	1943	1955
提唱者	AASHTO (American Association of State Highway and Transportation Officials)	Karl Terzaghi	M. J. Lighthill and G. B. Whitham
種類	Performance-prediction model for asphalt pavement design	Diffusion equation for pore pressure dissipation and soil settlement	Macroscopic traffic flow modeling using conservation laws
原典	AASHTO (2008). Mechanistic-Empirical Pavement Design Guide: A Manual of Practice. American Association of State Highway and Transportation Officials.	Terzaghi, K. (1943). Theoretical Soil Mechanics. John Wiley & Sons. ISBN: 0-471-85305-1	Lighthill, M. J., & Whitham, G. B. (1955). On kinematic waves I. Flow movement in long rivers. Proceedings of the Royal Society A, 229(1178), 281-316.
別名	MEPDG, Pavement design, Fatigue and rutting	Primary consolidation, Soil settlement, Effective stress	LWR model, Traffic wave, Kinematic wave theory
関連	3	3	3
概要	The Mechanistic-Empirical Pavement Design Guide (MEPDG or Pavement ME) is a modern method for designing asphalt pavements that predicts performance (rutting, cracking) using mechanistic stress analysis combined with empirical distress models. Developed by AASHTO in 2008 as a successor to the 1993 AASHTO Empirical Guide, this approach provides better accuracy and enables climate-based, site-specific design.	Terzaghi consolidation theory describes how water-saturated clay soils compress over time as excess pore water pressure dissipates and effective stress increases. Formulated by Karl Terzaghi in 1943, this foundational theory enables prediction of settlement rates for foundations on compressible soils, a critical design concern in geotechnical engineering.	The Lighthill-Whitham-Richards (LWR) model is a macroscopic traffic flow model that treats traffic as a compressible fluid, applying conservation of vehicles and a flow-density relationship. Introduced independently by Lighthill and Whitham (1955) and Richards (1956), the model predicts traffic wave propagation, congestion formation, and bottleneck behavior on highways.