Sustainable and resilient pavement infrastructure is critical for current economic and
environmental challenges. In the past 10 years, the pavement infrastructure strongly …

The next-generation of pavement maintenance and rehabilitation (M&R) decision-making
needs to weigh multiple strategic goals to achieve sustainable development through the …

Metaheuristics are the most exciting development in approximate optimization techniques of
the last two decades. They have had widespread successes in attacking a variety of difficult …

Modern highway engineering reflects an integrated view of a road system's entire lifecycle,
including any potential environmental impacts, and seeks to develop a sustainable …

Developing an accurate pavement prediction model plays a dominant role in pavement
M&R optimization. Despite employing different robust machine learning techniques to …

Based on the publications from two databases during 1998–2020, this paper presents a
systematic literature review on pavement maintenance effectiveness evaluation to …

The formulation and solution of a new algorithm for queue management and coordination of
traffic signals along oversaturated arterials are presented. Existing traffic-control and signal …

The sustainability of pavement, especially in Maintenance and Rehabilitation (M&R)
scheduling, has become an immense concern and has received limited attention in previous …

Most procedures for determining the critical slip surface in slope-stability analysis rely on
traditional nonlinear optimization techniques. The main shortcoming of these techniques is …

The objective of this paper is to introduce a multi-year pavement maintenance programming
methodology that can explicitly account for uncertainty in pavement deterioration. This is …