Development and Implementation of Axle Load Spectra for Overweight Truck Traffic for a Mechanistic-Empirical Pavement Performance Evaluation

2015 ◽  
Author(s):  
Hani H. Titi ◽  
Nicholas J. Coley ◽  
Valbon Latifi
Keyword(s):  
Performance Evaluation ◽  
Pavement Performance ◽  
Truck Traffic ◽  
Load Spectra

Use of Long-Term Pavement Performance Data to Develop Traffic Defaults in Support of Mechanistic-Empirical Pavement Design Procedures

2003 ◽  
Vol 1855 (1) ◽  
pp. 176-182 ◽  
Author(s):  
Weng On Tam ◽  
Harold Von Quintus
Keyword(s):  
Pavement Design ◽  
Vehicle Classification ◽  
Pavement Performance ◽  
Traffic Data ◽  
Design Procedures ◽  
Load Spectra ◽  
State Highway ◽  
Pavement Structures ◽  
Empirical Design

Traffic data are a key element for the design and analysis of pavement structures. Automatic vehicle-classification and weigh-in-motion (WIM) data are collected by most state highway agencies for various purposes that include pavement design. Equivalent single-axle loads have had widespread use for pavement design. However, procedures being developed under NCHRP require the use of axle-load spectra. The Long-Term Pavement Performance database contains a wealth of traffic data and was selected to develop traffic defaults in support of NCHRP 1-37A as well as other mechanistic-empirical design procedures. Automated vehicle-classification data were used to develop defaults that account for the distribution of truck volumes by class. Analyses also were conducted to determine direction and lane-distribution factors. WIM data were used to develop defaults to account for the axle-weight distributions and number of axles per vehicle for each truck type. The results of these analyses led to the establishment of traffic defaults for use in mechanistic-empirical design procedures.

Impacts of Nighttime-Only Truck Traffic Regulation on Pavement Performance

2015 ◽  
Vol 21 (1) ◽  
pp. 04014032
Author(s):  
Shi Qiu ◽  
Danny X. Xiao ◽  
Kelvin C. P. Wang ◽  
Wenjuan Wang ◽  
Mike M. Moravec
Keyword(s):  
Pavement Performance ◽  
Truck Traffic ◽  
Traffic Regulation

scholarly journals Highway Performance Evaluation Index in Semiarid Climate Region Based on Fuzzy Mathematics

2019 ◽  
Vol 2019 ◽  
pp. 1-7
Author(s):  
Sanqiang Yang ◽  
Meng Guo ◽  
Xinlei Liu ◽  
Pidong Wang ◽  
Qian Li ◽  
...  
Keyword(s):  
Performance Evaluation ◽  
Pavement Design ◽  
Pavement Performance ◽  
Fuzzy Mathematics ◽  
Accurate Evaluation ◽  
Multi Index ◽  
Climate Region ◽  
Design Scheme ◽  
Semiarid Climate ◽  
Highway Pavement

Accurate evaluation and analysis of expressway pavement performance is a prerequisite for determining the pavement design scheme and maintenance scheme. Due to the fuzziness and randomness of many factors affecting the pavement performance, this paper relies on the reconstruction and expansion project of Xinglin section of the Taihang mountain expressway, a method of highway pavement performance evaluation based on fuzzy mathematics is proposed. The results show the following: ① the study uses the factor domain, the comment level domain, the fuzzy relationship matrix, the evaluation factor full vector, and the fuzzy comprehensive evaluation result vector five-step method. The method can be effectively combined with the multi-index comprehensive detection index used in the specification. ② Based on the multi-index comprehensive test and evaluation adopted in the specification, the performance grade of the old road surface was quantitatively evaluated by the iterative calculation of fuzzy mathematics that broke through the evaluation mode which was based on the traditional detection methods. The research results provide innovative theoretical methods for the accurate evaluation and analysis of highway pavement performance in the semiarid climate region and also play a technical supporting role for the pavement design scheme and maintenance scheme decision-making in the semiarid climate region.

Research in Analysis of Asphalt Pavement Performance Evaluation Based on PSO-SVM

2011 ◽  
Vol 97-98 ◽  
pp. 203-207 ◽  
Author(s):  
Ke Zhen Yan ◽  
Zou Zhang
Keyword(s):  
Performance Evaluation ◽  
Asphalt Pavement ◽  
Pso Algorithm ◽  
Condition Index ◽  
Pavement Performance ◽  
Small Samples ◽  
Support Vector ◽  
Regression Problem ◽  
Evaluation Indexes ◽  
Pavement Condition Index

An emerging machine learning technique, the support vector machine (SVM), based on statistical learning theory is very good at analyzing small samples and non-linear regression problem. The particle swarm optimize (PSO) can avoid the man-made blindness and enhance the efficiency and capability in forecasting. In this paper, SVM is applied to establish a model for asphalt pavement performance evaluation, optimized by PSO algorithm. In road engineering, PCI, SSI, SRI and IRI were selected as the asphalt pavement performance evaluation indexes, but it is difficult to get pavement condition index. This paper describes the relationships among the four indicators, and SSI, SRI and IRI were used for establishing the prediction model to forecast PCI based on PSO-SVM. The results show that the method is simple and effective for evaluation of asphalt pavement performance.

The Application of Extension Theory on Pavement Performance Evaluation

2010 ◽  
Vol 168-170 ◽  
pp. 111-115
Author(s):  
Cheng Ling ◽  
Lan Zhou ◽  
Fan Gu
Keyword(s):  
Performance Evaluation ◽  
Evaluation Model ◽  
Extension Theory ◽  
Pavement Performance ◽  
Pavement Condition ◽  
Pavement Maintenance ◽  
Model Based ◽  
General Evaluation ◽  
Conservation Plan ◽  
Solid Foundation

Pavement performance evaluation is a reasonable safeguard for the conservation plan and an important basis for investment decisions. In order to obtain a precise and quantitative evaluation result, a general evaluation model based on Extension Theory is established, and a concrete index is raised to indicate the pavement real condition. Practical pavement detection data of Jing-hu highway in Jiangsu Province is used to validate this model. The result shows that the evaluation model based on Extension Theory gives an accurate evaluation on pavement performance, and reflects the pavement condition well. It could provide solid foundation for pavement maintenance orders, and may have a bright future.

Adhera Research: A new approach for pavement performance evaluation

Wear ◽  
2009 ◽  
Vol 267 (5-8) ◽  
pp. 1105-1110 ◽  
Author(s):  
V. Cerezo ◽  
M. Gothié
Keyword(s):  
Performance Evaluation ◽  
Pavement Performance ◽  
New Approach
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