Build a Public Traffic Camera Assisted Port Corridor Delivery Router
Ingest Singapore Expressway camera feeds and traffic incident alerts to route port deliveries. Rebalance hauler itineraries to avoid West Coast Highway bottlenecks.
What you are building
The core problem, expected build, and operating context for this challenge.
Ingest Singapore Expressway camera feeds and traffic incident alerts to route port deliveries. Rebalance hauler itineraries to avoid West Coast Highway bottlenecks.
Intermodal Transport Coordinator
Query public traffic camera image metadata and expressway incidents via data.gov.sg endpoints.
Extract congestion severity scores along critical arteries connecting Tuas Port to Jurong industrial estates.
Calculate detour routing penalties and carbon emission trade-offs for heavy container trucks.
Generate route advisories and updated estimated delivery windows for terminal dispatchers.
Interactive corridor map highlighting camera snapshots, computed congestion indices, and alternative transit routes.
Simulated JSON snapshots mirroring the data.gov.sg real-time Traffic Images API schema for Ayer Rajah Expressway (AYE). Starter examples below are synthetic. They are not downloaded records.
Singapore open data API Consumes the data.gov.sg real-time Traffic Images and expressway speed band API structure to assess port road corridor congestion.
crewai, python, pydantic. crewAI coordinates separate agent roles for traffic ingestion, routing calculation, and fleet notification. Instruction-tuned LLM via API for translating visual congestion metrics into concrete transport rerouting notices.
Submit runnable source, pinned dependencies, setup commands, a working interface, example outputs, and a recorded end-to-end demo. Include tests and an action log.
Parse camera image timestamps and congestion indicators from simulated traffic API responses.
Trigger detour routing when primary corridor travel speeds drop below 20 km/h.
Compute comparative fuel and time deltas for the Tuas Megaport corridor.
Produce driver dispatch manifests with turn-by-turn bypass recommendations.
```json [ { "input": { "dispatch_id": "DISP-CORR-101", "origin": "Jurong Logistics Hub", "destination": "Tuas Port Phase 1", "assigned_route": "AYE_WESTBOUND", "traffic_data": { "corridor": "AYE (towards Tuas)", "average_speed_kmh": 14.2, "incident_reported": "Breakdown before Benoi exit", "camera_id": "4701" } }, "expected_output": { "reroute_recommended": true, "selected_bypass": "JURONG_PORT_ROAD_TO_PIONEER_ROAD", "estimated_time_saved_mins": 28, "emission_delta_kg_co2": 4.2, "dispatch_notice": "AYE congested at 14 km/h due to breakdown. Haulers directed via Pioneer Road bypass to meet Tuas gate slot." } }, { "input": { "dispatch_id": "DISP-CORR-102", "origin": "Pasir Panjang Hub", "destination": "Tuas Port Phase 1", "assigned_route": "AYE_WESTBOUND", "traffic_data": { "corridor": "AYE (towards Tuas)", "average_speed_kmh": 68, "incident_reported": "None", "camera_id": "4701" } }, "expected_output": { "reroute_recommended": false, "selected_bypass": null, "estimated_time_saved_mins": 0, "emission_delta_kg_co2": 0, "dispatch_notice": "Traffic flow smooth on AYE (68 km/h). Maintain primary corridor transit." } } ] ```
All routes generated are navigational recommendations; drivers must follow official road signage and traffic regulations. Use mock external writes. Require human review before any real deployment.
Participation guide
All routes generated are navigational recommendations; drivers must follow official road signage and traffic regulations. Use mock external writes and human review.
How work is evaluated
Parse camera image timestamps and congestion indicators from simulated traffic API responses. Trigger detour routing when primary corridor travel speeds drop below 20 km/h. Compute comparative fuel and time deltas for the Tuas Megaport corridor. Produce driver dispatch manifests with turn-by-turn bypass recommendations.
Runnable source, pinned dependencies, setup commands, working interface, example outputs, recorded demo, tests, and action logs.
Challenge datasets
Public datasets, plus the private datasets you have access to.
How submissions are scored
These dimensions define what the evaluator checks and which criteria separate a passable run from a strong one.
Complete workflow
Query public traffic camera image metadata and expressway incidents via data.gov.sg endpoints. Extract congestion severity scores along critical arteries connecting Tuas Port to Jurong industrial estates. Calculate detour routing penalties and carbon emission trade-offs for heavy container trucks. Generate route advisories and updated estimated delivery windows for terminal dispatchers.
Missing or incorrect.
Partly complete, with documented gaps.
Complete, with reproducible evidence.
Correctness and evidence
Parse camera image timestamps and congestion indicators from simulated traffic API responses. Trigger detour routing when primary corridor travel speeds drop below 20 km/h. Compute comparative fuel and time deltas for the Tuas Megaport corridor. Produce driver dispatch manifests with turn-by-turn bypass recommendations.
Missing or incorrect.
Partly complete, with documented gaps.
Complete, with reproducible evidence.
Review interface
Interactive corridor map highlighting camera snapshots, computed congestion indices, and alternative transit routes.
Missing or incorrect.
Partly complete, with documented gaps.
Complete, with reproducible evidence.
Safe execution
All routes generated are navigational recommendations; drivers must follow official road signage and traffic regulations.
This dimension contributes its full weight only when the submission satisfies the requirement. Partial credit is not awarded.
What you should walk away with
Query public traffic camera image metadata and expressway incidents via data.gov.sg endpoints.
Extract congestion severity scores along critical arteries connecting Tuas Port to Jurong industrial estates.
Calculate detour routing penalties and carbon emission trade-offs for heavy container trucks.
Generate route advisories and updated estimated delivery windows for terminal dispatchers.
Reference links and supporting material
Simulated JSON snapshots mirroring the data.gov.sg real-time Traffic Images API schema for Ayer Rajah Expressway (AYE). Supplied starter examples are synthetic, not source extracts.
Challenge setup
Configuration summary for this challenge.
Challenge input
Input details are not configured.
crewAI
Multi-agent orchestration framework
Evaluated output
No output checks are configured.
- Query public traffic camera image metadata and expressway incidents via data.gov.sg endpoints. Extract cong...
- Parse camera image timestamps and congestion indicators from simulated traffic API responses. Trigger detou...
- Interactive corridor map highlighting camera snapshots, computed congestion indices, and alternative transi...
- 2 public reference cases
- 1 configured tool
Summary shows the first task, up to three tools, and up to three evidence items. Open the technical recipe to view all configured items.
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Configured tools
- crewAI · Optional
Evaluation contract
- Complete workflow · Weight 40
- Correctness and evidence · Weight 30
- Review interface · Weight 20
- Safe execution · Weight 10
Reference cases
- 2 public reference cases
Workflow tasks
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Recipe freeze marker
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