Adaptive real-time tracking and simulation of heavy construction operations for look-ahead scheduling

This paper proposes an adaptive real-time tracking and simulation of heavy construction operations for look-ahead scheduling during construction field operations. In this method, construction operation data are constantly captured using tracking sensors and the data is then fed into a simulation model for automatic model updating. This adaptive capability allows a pre-defined simulation model to be constantly updated to reflect the changing project environment for more accurate look-ahead scheduling. Compared with the traditional offline simulation that uses stationary inputs, the capability of the proposed real-time simulation to dynamically incorporate new project data and adapt to changes in field operations can improve the accuracy of project look-ahead scheduling. A prototype system and case studies are presented to demonstrate the feasibility of the proposed concept.

► We develop an adaptive real-time simulation method for look-ahead scheduling.
► Operation data are captured using sensors and used for automatic model updating.
► Timely updated models accurately reflect field conditions for accurate forecasting.
► The method reduces modeling burdens on the user while improving forecasting.