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Real-time monitoring of the heavy equipment can help practitioners improve machine-intensive and cyclic earthmoving operations. It can also provide reliable data for future planning. Surface earthmoving job sites are among the best candidates for vision-based systems due to relatively clear sightlines and recognizable equipment. Several cutting edge(More)
Presents concepts and implementations for automated construction simulation modeling for aggregate crushing plant operations (CRUISER) and for earthmoving operations (AP2-EARTH). In the automated modeling environment, the user can specify a real-world construction system: its physical components, required resources and other system information. A simulation(More)
Research was undertaken to assist practitioners in undertaking Monte Carlo simulation of project schedules. A probabilistic model was developed to translate project characteristics into schedule risk boundaries. This model has been tested in several projects and performed very well. Lessons learned during the application of Monte Carlo simulation to a large(More)
Dump trucks are the main mean for hauling earth material within and outside of the construction and open-pit mining jobsites. The real-time monitoring of the material transportation trips is beneficial for proactive equipment management, volume estimation, and productivity measurement. The traditional manual observation is tedious, non-real-time, and(More)
The transportation sector is an integral part of the local, provincial and national economies. There are three important issues, including mobility, safety and economics, which must be considered when highway work zones are engineered. These competing issues are important to the key parties involved in highway construction, which include the owner, the(More)