The Integrated Urban Mobility Corridor project is an example of how different civil infrastructure systems can be integrated with one another with the help of a system-of-systems concept. By integrating three modules of roadway systems, namely urban asphalt pavement, flexible pavement, and a curved highway, with two modules of pedestrian bridges, the design of the integrated system aims to overcome the urban “barrier effect” of high-capacity transport corridors.

One of the key outcomes of the integrated system is the implementation of an integrated ontological model that provides all five modules with a unified semantic foundation. With class hierarchies, object properties, and data attributes, the ontology allows for the clear classification of components of bridges and pavement systems, models the concept of layered pavement systems, and defines relationships between structures.

In addition, the integrated parametric model transforms these semantic relationships into a dynamic geometric environment. Scripted dependencies and connection reference points allow the curved highway to act as a unifying backbone, controlling all associated modules’ position and orientation. This process facilitates automatic geometric alignment between bridge ramps and highway shapes, dynamic length adjustment of bridge spans in relation to roadway widths, regulatory clearance management, and pavement thickness synchronization with bridge deck elevations.

The assessment of various alternative parametric design options reinforced the flexibility of the system. Of all the options considered, Alternative B was found to be the most well-rounded solution. It increased road traffic capacity relative to the original, while avoiding the extremes of structural requirements and cost associated with ultra-high-capacity roadways. In addition, it allowed for the incorporation of smart monitoring systems into the pedestrian bridge infrastructure, aiding in future maintenance.

However, it also presented trade-offs in relation to roadway widening to enhance vehicular capacity, which required increased bridge spans, pylon heights, and foundation depths to accommodate increased road widths, resulting in increased structural loads and building costs. In addition, increased pedestrian bridge widths, ramps, and spans to enhance accessibility created geometric and spatial restrictions on roadway alignment, while ultra-high-capacity roadway systems to accommodate future requirements increased scalability at the expense of constructability efficiency and economic feasibility.

The project demonstrates that using ontology-driven semantics along with parametric modeling allows the infrastructure systems to function as one digital network instead of different parts of a network. The completed corridor combines the benefits of mobility efficiency, pedestrian safety, structural practicality, and growth potential, providing a good foundation for future smart urban mobility projects.