Abstract: Over the past decade, several smart and automated systems have been developed to address the issue of struck-by hazards in construction—that is, workers on foot struck by equipment or equipment struck by equipment. False ...

Abstract: This paper describes a new approach to behavioral mode choice modeling using neurofuzzy models. The new approach combines the learning ability of artificial neural networks and the transparent nature of fuzzy logic. The ...

Abstract: This paper presents a comprehensive review of a fundamental and challenging issue in hydrology: the regionalization of streamflow and its advances over the last two decades, specifically 1990–2011. This includes a discussion ...

Abstract: Freeway work zone with lane closure has a direct negative impact on travel time, safety, and environmental sustainability. The capacity drop at the onset of the congestion can also further reduce the discharging rate at ...

Abstract: Previous research studies have successfully developed adaptive traffic signal controllers using reinforcement learning; however, few have focused on analyzing what specifically reinforcement learning does differently than ...

Abstract: Having an approach that can analyze and identify safety risks in the dynamic and hazardous construction environment is one of the key steps to the success of health and safety plans. Struck-by-equipment hazard is one of ...

Abstract: The original NorSand (ONS) state-dilatancy law (ONS-SDL) presents challenges when trying to make changes in the formulation of the critical state line or stress–dilatancy rule and the associated yield surface. Additionally, ...

Abstract: In many practical applications, unbalanced rotating machinery cause vibrations that transmit large oscillatory forces to the system foundation. Using ad hoc optimization schemes tuned isolators and ...