Design Urban Air Mobility Flight Routing using Google ADK and Qwen 3
Urban air taxis like the ePlane face dynamic airspace constraints and micro-weather shifts during intra-city transit. Build a flight dispatch routing agent using Google Agent Development Kit (ADK) and Qwen 3 model runtime to continuously recalculate safe air corridors. Achieve 100% violation-free path clearance on simulated flight corridors.
What you are building
The core problem, expected build, and operating context for this challenge.
Develop an autonomous flight dispatch planner using Google ADK and Qwen 3 models to resolve spatial airspace conflicts for eVTOL aircraft.
How work is evaluated
Tests flight plan generation against dynamic spatial restricted zones and weather events.
Shared data for this challenge
Review public datasets and any private uploads tied to your build.
How submissions are scored
These dimensions define what the evaluator checks and which criteria separate a passable run from a strong one.
zero_violation_check
Ensures path intersects zero active restricted zones
This dimension contributes its full weight only when the submission satisfies the requirement. Partial credit is not awarded.
route_safety_score
Percentage of waypoints maintaining mandatory safety buffer • target: 1 • range: 0-1
This dimension contributes its full weight only when the submission satisfies the requirement. Partial credit is not awarded.
What you should walk away with
Utilize Google ADK agent architecture for spatio-temporal route planning
Integrate Qwen 3 vision and reasoning capabilities for processing dynamic radar overlays
Implement real-time airspace boundary checking and conflict detection
Ensure compliance with Director General of Civil Aviation (DGCA) drone/eVTOL corridor rules
Reference links and supporting material
GeoJSON terrain coordinates, weather threat overlays, and simulated urban airspace traffic streams.
How this agent runs
Tests flight plan generation against dynamic spatial restricted zones and weather events.
Challenge input
JSON object with start/end coordinates and no-fly zones
Google ADK
Offers agent abstractions for tool calling and context handling.
Qwen 3
Provides spatial reasoning and geometric computation support.
Evaluated output
JSON array of flight waypoints with clearance flags
- Ensures path intersects zero active restricted zones
- Percentage of waypoints maintaining mandatory safety buffer • target: 1 • range: 0-1
- Benchmark: Spatial Path Clearance Benchmark
- Route Safety Score target: 1
- 1 public reference case
- Python execution harness
- Python sandbox (unavailable on Versalist)
View technical recipe
Configured tools
- Google · Required
- Google ADK · Optional
- Qwen 3 · Optional
Evaluation contract
- zero_violation_check · Weight 1
- route_safety_score · Weight 1
Recipe state
This is a preview. The configuration can change before the evaluation recipe is locked.