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. 2024 Jan 2;14(1):83.
doi: 10.1038/s41598-023-50404-w.

Framework for assessing bridges construction impact on work zone traffic using BrIM

Mohamed Marzouk  1 , Ahmed Elsayed  2
Affiliations

Framework for assessing bridges construction impact on work zone traffic using BrIM

Mohamed Marzouk et al. Sci Rep. .

Abstract

This research presents a framework for visualizing bridge construction impact on work zone traffic using Bridge Information Modelling (BrIM) and Google Maps API. The framework consists of four modules. The first module contains the construction data of the bridge by reporting the construction's daily progress. The second module is designated to model traffic data of the work zone using Google Maps API, traffic Survey counting, and Google Earth Images. The third module performs a traffic simulation for the work zone, and calculating the user cost of different stages. The fourth module visualizes the bridge's construction using Bridge Information Modelling (BrIM) and virtual reality in the Twinmotion engine to demonstrate the construction stages and the corresponding traffic states. An actual case study of El-Nahas Bridge in Cairo city-Egypt is presented to demonstrate the main features of the developed framework and its practical aspects. The case study results reveal that the impact of the construction stages varies on work zone traffic throughout the project period. The impact greatly influences the traffic status at the beginning of the project associated with high user costs. Then, the impact declines in later stages depending on the type of construction activities in each stage.

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Conflict of interest statement

The authors declare no competing interests.

Figures

Figure 1
Figure 1
Proposed framework modules.
Figure 2
Figure 2
Interfaces of developed Google maps API web-based platform.
Figure 3
Figure 3
Demonstrating Work zone length and construction progress in Google Earth Images.
Figure 4
Figure 4
Defining VISSIM inputs for simulating bridge construction.
Figure 5
Figure 5
3D representation of work zone in InfraWorks.
Figure 6
Figure 6
Twinmotion phasing for construction activities and traffic Representation.
Figure 7
Figure 7
The Intersection of El-Wafaa wa EL-Amal corridor and EL-Nahas bridge.
Figure 8
Figure 8
Actual traffic detours for the case study.
Figure 9
Figure 9
Roads recorded data for Mostafa El-Nahas street.
Figure 10
Figure 10
Diagram for durations and lags of bridge activities.
Figure 11
Figure 11
VISSIM interface showing queue formation and the detour usage.
Figure 12
Figure 12
BrIM model of El-Nahas bridge.
Figure 13
Figure 13
Modelling of the surrounding environment.
Figure 14
Figure 14
Visualizing the process by Twinmotion.
Figure 15
Figure 15
The Node analysis results in a graph for the 10th district Direction.
Figure 16
Figure 16
Estimated costs for Normal and Crashed Scenarios.
See this image and copyright information in PMC

References

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