Geostatistical Interpolation and Analyses of Washington State AADT Data from 2009 – 2016
Annual Average Daily Traffic (AADT) data in the transportation industry today is an important tool used in various fields such as highway planning, pavement design, traffic safety, transport operations, and policy-making/analyses. Systematic literature review was used to identify the current methods...
Main Author: | Owaniyi, Kunle Meshach |
---|---|
Format: | Others |
Published: |
North Dakota State University
2020
|
Subjects: | |
Online Access: | https://hdl.handle.net/10365/31649 |
Similar Items
-
Improved Annual Average Daily Traffic (AADT) Estimation for Local Roads using Parcel-Level Travel Demand Modeling
by: Wang, Tao
Published: (2012) -
Statistical estimation and prediction of Annual Average Daily Traffic (AADT) on the first/last mile road sections in the Port of Szczecin
by: Dariusz Bernacki, et al.
Published: (2017-01-01) -
Incorporating image-based data in AADT estimation: methodology and numerical investigation of increased accuracy
by: Jiang, Zhuojun
Published: (2005) -
Annual average daily traffic forecasting using different techniques
by: Tomas Šliupas
Published: (2006-03-01) -
Annual average daily traffic forecasting using different techniques
by: T. Šliupas
Published: (2006-03-01)