English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

The lateral position of truck loading is a random phenomenon for human-driven trucks because they do not follow a straight path as they travel. Therefore, this variable has been called as wheel wandering in the pavement design community and has been considered in an implicit way. However, with the introduction of autonomous and connect trucks (ACTs), this variable is expected to be controllable using the embedded auto-pilot and communication technologies. Hence, it should be considered explicitly to accurately simulate the impact of ACTs on pavement damage accumulation. This study presents a framework that improves any analytical pavement damage accumulation approach to take a lateral position of loading as an explicit input. In this paper, the developed framework was applied on the state-of-the-practice pavement design approach, Mechanistic-Empirical Pavement Design Guideline (MEPDG). MEPDG's damage accumulation equations (i.e. rutting and fatigue cracking) were reinforced with curve fitting and function approximation techniques for explicit consideration of the lateral position. A simple numerical example was presented in the paper to demonstrate the effects of positioning wheel loads on accumulated damage.

Wander 2D: a flexible pavement design framework for autonomous and connected trucks