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Assaad, R, El-Adaway, I H and Abotaleb, I S (2020) Predicting Project Performance in the Construction Industry. Journal of Construction Engineering and Management, 146(05).
Chan, A P C, Chiang, Y, Wong, F K, Liang, S and Abidoye, F A (2020) Work–Life Balance for Construction Manual Workers. Journal of Construction Engineering and Management, 146(05).
Firouzi, A and Khayyati, M (2020) Bayesian Updating of Copula-Based Probabilistic Project-Duration Model. Journal of Construction Engineering and Management, 146(05).
Gao, N and Touran, A (2020) Cost Overruns and Formal Risk Assessment Program in US Rail Transit Projects. Journal of Construction Engineering and Management, 146(05).
Hacker, M E, Kaminsky, J, Faust, K M and Rauch, S (2020) Regulatory Enforcement Approaches for Mass Population Displacement. Journal of Construction Engineering and Management, 146(05).
Hasanzadeh, S, de la Garza, J M and Geller, E S (2020) Latent Effect of Safety Interventions. Journal of Construction Engineering and Management, 146(05).
Hu, Q, Bai, Y, He, L, Cai, Q, Tang, S, Ma, G, Tan, J and Liang, B (2020) Intelligent Framework for Worker-Machine Safety Assessment. Journal of Construction Engineering and Management, 146(05).
- Type: Journal Article
- Keywords: Worker–machine safety; Intelligent assessment; Machine vision; Fuzzy neural network; Intelligent construction site;
- ISBN/ISSN: 0733-9364
- URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0001801
- Abstract:
Intelligent safety management based on machine vision has become indispensable in reducing collision safety accidents during construction. To prevent collisions between workers and machines in excavation site construction, a real-time intelligent evaluation system to reflect worker–machine safety status was developed. The system included: (1) determination of the key factors affecting the safety of the interactive operation between workers and machines; (2) extraction of precursor semantic information related to the safety assessment for each object in the construction site based on machine vision; and (3) assessment of the safety state of a monitored object using a fuzzy neural network. A case study of excavation site construction is presented to illustrate and verify the entire process of safety assessment using the developed framework. The results show that the proposed model achieves high detection rates: 96% and 94% for tracking accuracy and 91.67% for prediction accuracy.
Hua, Y, He, J, Gong, J and Zhao, J (2020) Hazardous Area Risk-Based Evacuation Simulation and Analysis of Building Construction Sites. Journal of Construction Engineering and Management, 146(05).
Krechowicz, M (2020) Comprehensive Risk Management in Horizontal Directional Drilling Projects. Journal of Construction Engineering and Management, 146(05).
Liu, C, AbouRizk, S, Morley, D and Lei, Z (2020) Data-Driven Simulation-Based Analytics for Heavy Equipment Life-Cycle Cost. Journal of Construction Engineering and Management, 146(05).
Liu, J and Lu, M (2020) Synchronized Optimization of Various Management-Function Schedules in a Multiproject Environment: Case Study of Planning Steel Girder Fabrication Projects in Bridge Construction. Journal of Construction Engineering and Management, 146(05).
Lu, W, Xu, J and Söderlund, J (2020) Exploring the Effects of Building Information Modeling on Projects: Longitudinal Social Network Analysis. Journal of Construction Engineering and Management, 146(05).
Martínez-Rocamora, A, García-Alvarado, R, Casanova-Medina, E, González-Böhme, L F and Auat-Cheein, F (2020) Parametric Programming of 3D Printed Curved Walls for Cost-Efficient Building Design. Journal of Construction Engineering and Management, 146(05).
Navon, R (2020) The Last Lecture: The Need for Civil Engineering Education to Stimulate Thinking Instead of Only Teaching. Journal of Construction Engineering and Management, 146(05).
Nguyen, P H D, Tran, D and Lines, B C (2020) Fuzzy Set Theory Approach to Classify Highway Project Characteristics for Delivery Selection. Journal of Construction Engineering and Management, 146(05).
Okonkwo, P N and Wium, J (2020) Health and Safety Management Systems within Construction Contractor Organizations: Case Study of South Africa. Journal of Construction Engineering and Management, 146(05).
Pan, M and Pan, W (2020) Understanding the Determinants of Construction Robot Adoption: Perspective of Building Contractors. Journal of Construction Engineering and Management, 146(05).
Raoufi, M and Fayek, A R (2020) Fuzzy Monte Carlo Agent-Based Simulation of Construction Crew Performance. Journal of Construction Engineering and Management, 146(05).
Song, M H and Fischer, M (2020) Generating a Daily Bill of Materials at Level of Development 400 Using the Smallest Workface Boundary. Journal of Construction Engineering and Management, 146(05).
Tomczak, M and JaÅ›kowski, P (2020) New Approach to Improve General Contractor Crew’s Work Continuity in Repetitive Construction Projects. Journal of Construction Engineering and Management, 146(05).
Wondimu, P A, Klakegg, O J, Lohne, J and Lædre, O (2020) Experiences with Best-Value Procurement in Norway and the Netherlands. Journal of Construction Engineering and Management, 146(05).
Yu, T, Liang, X and Wang, Y (2020) Factors Affecting the Utilization of Big Data in Construction Projects. Journal of Construction Engineering and Management, 146(05).
Zhang, X, Li, Y and Wu, D (2020) Developing an Underground Utility Occupation Index for Efficient Urban Utilities Planning. Journal of Construction Engineering and Management, 146(05).