An Agent-Based Modeling for Improving Truck Productivity in Construction sites with Traffic Congestion
Publish place: Eleventh National Congress on Civil Engineering
Publish Year: 1398
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:
NCCE11_265
تاریخ نمایه سازی: 9 شهریور 1398
Abstract:
Truck productivity is recognized as being a major cause of cost and time overruns in earthmoving operation. Traffic congestions in large construction projects might negatively affect truck productivity. This paper presents an intelligent agent-based model to improve truck productivity in traffic congestion conditions. The model is based on reinforcement leaning theory, specially adapted to the problem. The development is carried out using MATLAB. A work example is provided to show the applicability and efficiency of the proposed model. The paper proves model s accuracy. This paper provides an artificial intelligence solution for truck productivity; therefore the paper contributes to automation in construction.
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Authors
Sanaz Younesi
M.Sc student at Bu-Ali Sina University
S. Mahdi Hosseinian
Assistant professor at Bu-Ali Sina University
Saleh Razini
Assistant professor at Bu-Ali Sina University