Some useful resources
Some useful resources
Federal Highway Administration (FHWA). Advancing the knowledge and practice of sustainability related to pavement systems.
The Long-Term Pavement Performance (LTPP) program was established to collect pavement performance data as one of the major research areas of the Strategic Highway Research Program (SHRP)
Most of the pavement on our nation's highways—covering about 220,000 miles of roads—is in good or fair condition. But highway pavement is less likely to be in good condition in urban areas, localities with higher family poverty rates, and areas with higher percentages of underserved racial and ethnic populations.
Every year, trillions of dollars are invested in the infrastructure that helps us—and our goods—get around. What will it take to move the transport infrastructure industry toward carbon zero?
Google's fast-paced, practical introduction to machine learning, featuring a series of lessons with video lectures, real-world case studies, and hands-on practice exercises.
Interactive Visualization of a Neural Net
This guide is intended for anyone having zero or a small background in programming, maths, and machine learning.
A course by Andrej Karpathy on building neural networks, from scratch, in code.
Andre Karpathy's LLM deep dive video
Online AASHTO 1993 pavement design tool
Online Concrete pavement design using PCA method
Online Concrete pavement design using MEPDG
Pavement Interactive is a free online knowledge base for the paving industry. The site is a repository for encyclopedic articles, news, and information on all topics related to pavements.
Academy of Pavement Science and Engineering (APSE) vision focuses on the science and engineering principles that underpin pavement engineering and align education, research and professional practice with new and emerging knowledge in design, materials, analysis, modeling, management and sustainability to address the challenges for pavement professionals in the 21st century while benefiting from opportunities in a collective voice.