Intelligent Stochastic Agent-Based Model for Predicting Truck Production in Construction Sites by Considering Learning Effect

Author:

Hosseinian S. Mahdi1,Younesi Sanaz2,Razini Saleh3,Carmichael David G.4ORCID

Affiliation:

1. Assistant Professor, Dept. of Civil Engineering, School of Engineering, Bu-Ali Sina Univ., Hamedan 65178-38695, Iran (corresponding author).

2. Dept. of Civil Engineering, School of Engineering, Bu-Ali Sina Univ., Hamedan 65178-38695, Iran.

3. Assistant Professor, Dept. of Electrical Engineering, School of Engineering, Bu-Ali Sina Univ., Hamedan 65178-38695, Iran.

4. Professor, School of Civil and Environmental Engineering, Univ. of New South Wales, Sydney, NSW 2052, Australia. ORCID:

Publisher

American Society of Civil Engineers (ASCE)

Subject

Strategy and Management,Industrial relations,Building and Construction,Civil and Structural Engineering

Reference75 articles.

1. Role of Simulation in Construction Engineering and Management

2. Ahn C. W. Pan S. Lee and F. Peña-Mora. 2010. “Enhanced estimation of air emissions from construction operations based on discrete-event simulation.” In Proc. Int. Conf. on Computing in Civil and Building Engineering. Nottingham UK: Nottingham Univ.

3. Process mining technique for automated simulation model generation using activity log data;Ahn S.;Comput. Civ. Eng.,2015

4. Characterizing travel time distributions in earthmoving operations using GPS data;Ahn S.;Comput. Civ. Eng.,2015

5. Expert System for Equipment Selection for Earth‐Moving Operations

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