An ensemble learning with sequential model-based optimization approach for pavement roughness estimation using smartphone sensor data

Author:

Guo Wangda,Zhang JinxiORCID,Murtaza Muhammad,Wang Chao,Cao DandanORCID

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

General Materials Science,Building and Construction,Civil and Structural Engineering

Reference45 articles.

1. Cost-effective assessment of in-service asphalt pavement condition based on Random Forests and regression analysis;Guo;Construction and Building Materials,2022

2. An Efficient and Explainable Ensemble Learning Model for Asphalt Pavement Condition Prediction Based on LTPP Dataset;Song;IEEE Transactions on Intelligent Transportation Systems.,2022

3. Safety impacts of pavement surface roughness at two-lane and multi-lane highways: accounting for heterogeneity and seemingly unrelated correlation across crash severities, Transportmetrica A: Transport;Chen;Science,2019

4. Feasibility study on measurement of a physiological index value with an electrocardiogram tester to evaluate the pavement evenness and driving comfort;Zhang;Measurement,2018

5. Impact of Pavement Roughness on Fuel Consumption for a Range of Vehicle Types, Journal of Transportation Engineering;Sime;Part B: Pavements.,2021

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