International conference on construction engineering and project management (국제학술발표논문집)

  • 2024.07a
  • /
  • Pages.807-814
  • /
  • 2024
  • /
  • 2508-9048(eISSN)
Korea Institute of Construction Engineering and Management (한국건설관리학회)
권호 표지
DOI QR코드

DOI QR Code

Multi-objective optimization model for urban road maintenance planning using BIM, GIS, and DCE

  • Sining LI (Department of Architecture and Civil Engineering, City University of Hong Kong) ;
  • Zhihao REN (Department of Architecture and Civil Engineering, City University of Hong Kong) ;
  • Yuanyuan TIAN (Department of Architecture and Civil Engineering, City University of Hong Kong) ;
  • Jung In KIM (Department of Architecture and Civil Engineering, City University of Hong Kong) ;
  • Li MA (School of Public Policy and Administration, Chongqing University) ;
  • Longyang HUANG (School of Public Policy and Administration, Chongqing University)
  • Published : 2024.07.29
Download PDF
⟨ Previous Next ⟩

Abstract

Urban road maintenance creates potential risks for both road users and workers in addition to traffic congestion and delays. The adverse effects of maintenance work could be minimized through mitigation measures of work zone layout and construction arrangement, such as reducing the dimension of work zone segments and scheduling construction during low-traffic periods. However, these measures inevitably escalate construction costs. Consequently, decision-making in urban road maintenance necessitates a balance among multiple strategic objectives to facilitate optimal development via a comprehensive road maintenance management system. This study aims to propose an integrated framework to accomplish the multiple and conflicting objectives for maximizing safety and mobility while minimizing construction costs by optimizing the work zone layout and construction sequence dynamically. The framework enables the seamless information exchange among building information modeling (BIM), geographic information system (GIS), and domain-specific computational engines (DCE), which perform interdisciplinary assessments and visualization. Subsequently, a genetic algorithm is employed to determine the optimal plan considering multiple objectives due to its versatility in resolving highly complex conflict problems.

Keywords

References

  1. K. Levik, "How to sell the message 'Road maintenance is necessary' to decision makers," First Road Transportation Technology Transfer ..., pp. 460-467, 2001. 
  2. Q. Lu, T. Tettamanti, D. Horcher, and I. Varga, "The impact of autonomous vehicles on urban traffic network capacity: an experimental analysis by microscopic traffic simulation," Transportation Letters, vol. 12, no. 8, pp. 540-549, Sep. 2020. 
  3. S. D. (Stuart D. ) Anderson, D. J. Fisher, National Research Council (U.S.). Transportation Research Board., American Association of State Highway and Transportation Officials., and United States. Federal Highway Administration., Constructibility review process for transportation facilities, no. 1454. 1997. 
  4. T. Scriba, P. Sankar, and K. Jeannotte, "Implementing the Rule on Work Zone Safety and Mobility," Report, 2005, Accessed: Nov. 16, 2022. [Online]. 
  5. Y. Li and Y. Bai, "Effectiveness of temporary traffic control measures in highway work zones," Saf Sci, vol. 47, no. 3, pp. 453-458, Mar. 2009. 
  6. A. T. Greenwood, "Evaluating Comprehension of Temporary Traffic Control," 2015. Accessed: Nov. 17, 2022. 
  7. AASTHO, Roadside Design Guide, no. 3. 1996. 
  8. L. E. Ghosh, A. Abdelmohsen, K. A. El-Rayes, and Y. Ouyang, "Temporary traffic control strategy optimization for urban freeways," Transp Res Rec, vol. 2672, no. 16, pp. 68-78, Sep. 2018. 
  9. P. Sankar, K. Jeannotte, J. P. Arch, M. Romero, and J. E. Bryden, "Work Zone Impacts Assessment: An Approach to Assess and Manage Work Zone Safety and Mobility Impacts of Road Projects," 2006. 
  10. J. Carneiro, R. J. F. Rossetti, D. C. Silva, and E. C. Oliveira, "BIM, GIS, IoT, and AR/VR Integration for Smart Maintenance and Management of Road Networks: A Review," 2018 IEEE International Smart Cities Conference, ISC2 2018, Feb. 2019. 
  11. H. Kim, Z. Chen, C. S. Cho, H. Moon, K. Ju, and W. Choi, "Integration of BIM and GIS: Highway Cut and Fill Earthwork Balancing," Congress on Computing in Civil Engineering, Proceedings, vol. 2015-January, no. January, pp. 468-474, 2015. 
  12. R. Liu and R. R. A. Issa, "3D visualization of sub-surface pipelines in connection with the building utilities: Integrating GIS and BIM for facility management," in Congress on Computing in Civil Engineering, Proceedings, American Society of Civil Engineers, 2012, pp. 341-348. 
  13. S. Niu, W. Pan, and Y. Zhao, "A BIM-GIS Integrated Web-based Visualization System for Low Energy Building Design," Procedia Eng, vol. 121, pp. 2184-2192, Jan. 2015. 
  14. S. Amirebrahimi, A. Rajabifard, P. Mendis, and T. Ngo, "A framework for a microscale flood damage assessment and visualization for a building using BIM-GIS integration," Int J Digit Earth, vol. 9, no. 4, pp. 363-386, Apr. 2016. 
  15. J. Irizarry, E. P. Karan, and F. Jalaei, "Integrating BIM and GIS to improve the visual monitoring of construction supply chain management," Autom Constr, vol. 31, pp. 241-254, May 2013. 
  16. Y. Deng, J. C. P. Cheng, and C. Anumba, "A framework for 3D traffic noise mapping using data from BIM and GIS integration," Structure and Infrastructure Engineering, vol. 12, no. 10, pp. 1267-1280, Oct. 2016. 
  17. K. Castaneda, O. Sanchez, R. F. Herrera, E. Pellicer, and H. Porras, "BIM-based traffic analysis and simulation at road intersection design," Autom Constr, vol. 131, p. 103911, Nov. 2021. 
  18. Q. Chao et al., "A Survey on Visual Traffic Simulation: Models, Evaluations, and Applications in Autonomous Driving," Computer Graphics Forum, vol. 39, no. 1, pp. 287-308, Feb. 2020. 
  19. B. Yu, M. Zhang, Z. Wang, and D. Bian, "Dynamic translation for virtual machine based traffic simulation," Simul Model Pract Theory, vol. 47, pp. 248-258, Sep. 2014. 
  20. P. T. McCoy and D. J. Mennenga, "Optimum Length of Single-Lane Closures in Work Zones on Rural Four-Lane Freeways," https://doi.org/10.3141/1650-07, no. 1650, pp. 55-61, Jan. 1998. 
  21. P. Sankar, K. Jeannotte, J. P. Arch, M. Romero, and J. E. Bryden, "Work Zone Impacts Assessment: An Approach to Assess and Manage Work Zone Safety and Mobility Impacts of Road Projects," 2006. 
  22. F. Shahin, W. Elias, Y. Rosenfeld, and T. Toledo, "An Optimization Model for Highway Work Zones Considering Safety, Mobility, and Project Cost," Sustainability, vol. 14, no. 3, p. 1442, Jan. 2022. 
  23. Y. Sun, M. Hu, W. Zhou, W. Xu, and D. Mourtzis, "Multiobjective Optimization for Pavement Network Maintenance and Rehabilitation Programming: A Case Study in Shanghai, China," Math Probl Eng, vol. 2020. 
  24. A. Z. Abdelmohsen and K. El-Rayes, "Optimizing the Planning of Highway Work Zones to Maximize Safety and Mobility," Journal of Management in Engineering, vol. 34, no. 1, p. 04017048, Jan. 2018. 
  25. P. Saha and K. Ksaibati, "Optimizing Budgets for Managing Statewide County Paved Roads," Journal of Transportation Engineering, Part B: Pavements, vol. 144, no. 4, p. 04018041, Dec. 2018. 
  26. H. Gao and X. Zhang, "A Markov-Based Road Maintenance Optimization Model Considering User Costs," Computer-Aided Civil and Infrastructure Engineering, vol. 28, no. 6, pp. 451-464, Jul. 2013. 
  27. Hamdi, S. P. Hadiwardoyo, A. G. Correia, and P. Pereira, "Pavement Maintenance Optimization Strategies for National Road Network in Indonesia Applying Genetic Algorithm," Procedia Eng, vol. 210, pp. 253-260, Jan. 2017. 
  28. A. Z. Abdelmohsen and K. El-Rayes, "Optimal Trade-Offs between Construction Cost and Traffic Delay for Highway Work Zones," J Constr Eng Manag, vol. 142, no. 7, p. 05016004, Jul. 2016.