Maze Intersection: Rethinking How We Navigate Urban Space Through Light and Fog
An installation that uses guiding lights and fog simulation to disrupt habitual movement patterns and reveal the hidden order of cities.
Every city is a maze. Traffic signals, crosswalks, and elevated walkways funnel millions of people along predetermined routes so efficiently that most pedestrians never question the invisible architecture governing their movement. Maze Intersection confronts that automation head on, constructing a physical labyrinth where strategic guiding lights and fog simulation strip away the comfortable certainty of a known path, forcing participants to navigate by instinct rather than habit.
Designed by Zhao Meng, Wenqi Wu, Yang Wenhao, Jianxue Wei, and Yong Wang, the project was recognized as an Editor's Choice entry at Elevate 2019. Subtitled "Back of the Order in Urban Spaces," the installation reads as both a spatial experiment and a provocation: what happens when the structured orders that streamline pedestrian movement are replaced by disorientation, and people must actively seek their own exits?
A Grid of Light Where the Floor Becomes the Map


Inside the installation, colored LED light strips lay down a geometric grid across the floor and columns, turning a parking-garage-scale volume into a luminous coordinate system. The effect is immediate: participants read the ground plane as a navigational surface rather than neutral infrastructure. At night, the pavilion reads from the outside as a translucent box, its backlit panels glowing softly against urban signage, signaling that something unexpected is happening within the familiar streetscape.
The interplay between the interior light grid and the fog simulation is central to the installation's argument. Fog reduces sightlines, collapsing the legibility that cities typically guarantee. The guiding lights then step in not as replacements for conventional signage but as ambiguous cues, encouraging discovery rather than compliance. Participants must make active spatial decisions, a condition that mirrors real-world navigation challenges the designers identified in their research on urban pedestrian behavior.
Decoding the Urban Intersection


The project's analytical framework is rigorous. An axonometric drawing details a diamond grid ceiling system with variations in lighting fixture placement, revealing how the overhead geometry choreographs movement below. Subtle shifts in fixture density create brighter and dimmer zones, nudging participants toward certain corridors without explicit instruction. Alongside this, a diagram series pairs photographs of real urban crosswalks and traffic signals with corresponding pattern studies, making the case that every city intersection already operates as a behavioral script.
By extracting and abstracting these everyday patterns, the team exposes the hidden order that pedestrians internalize without thinking. The installation, then, is not an invention of complexity but a revelation of it: the maze already exists in every signalized crossing. Maze Intersection simply strips away the reassuring legibility and asks participants to feel the system rather than follow it.
From Footbridges to Fog: Mapping Circulation Beyond the Street


A second diagram series extends the investigation to elevated footbridges and traffic lights, pairing photographs with abstract circulation pattern drawings. These drawings isolate the looping, branching, and converging paths that pedestrians take when moving vertically through a city, a dimension often ignored in plan-based urban analysis. The structural assembly sequence that follows illustrates how gabled volumes interlock to create varied spatial relationships, suggesting that the installation's physical form draws directly from this vocabulary of urban movement infrastructure.
Scaling Up: The Installation in Its Urban Context


An axonometric drawing positions the installation within a public plaza flanked by high-rise towers and landscaping, grounding the concept in a plausible site condition. The scale relationship matters: the maze is deliberately intimate against the verticality of surrounding buildings, reinforcing the contrast between the city's macro-order and the micro-disorientation experienced inside. A final diagram maps vertical circulation and programmatic zones using colored circular markers, clarifying how different levels of the installation correspond to distinct phases of the navigation experience.
Together these drawings argue that Maze Intersection is not just an art piece dropped into a plaza but a spatial instrument calibrated to its surroundings. The designers treat the gap between tower and ground plane as a site of latent confusion, a zone where urban order is already fraying, and their installation makes that fraying legible.
Why This Project Matters
Most urban design discourse celebrates legibility: clear wayfinding, intuitive signage, frictionless flow. Maze Intersection takes the opposite stance, arguing that subconscious entrapment within predefined routes is itself a problem worth surfacing. By building an environment that disorients yet informs, the team proposes that spatial awareness is a skill cities have slowly atrophied in their pursuit of efficiency.
The strength of the project lies in the specificity of its tools. Fog and light are not arbitrary aesthetic choices; they directly replicate and then exaggerate the conditions that already shape pedestrian behavior at every intersection. For a team of young designers working at the boundary of architecture and experiential design, that analytical clarity is what elevates Maze Intersection from installation to genuine urban research.
View the Full Project
About the Designers
Designers: Zhao Meng, Wenqi Wu, Yang Wenhao, Jianxue Wei, Yong Wang
Enter a Design Competition on uni.xyz
uni.xyz runs architecture and design competitions year-round that reward proposals with spatial conviction and real site intelligence.
Project credits: Maze Intersection-Back of the order in urban spaces by Zhao Meng, Wenqi Wu, Yang Wenhao, Jianxue Wei, Yong Wang Elevate 2019 (uni.xyz).
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