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Challenge

Build a Public Weather Assisted Port Delivery Route Planner

Correlate Singapore open real-time weather readings with heavy vehicle delivery schedules across port corridors. Reschedule hauler dispatches around high-intensity rain events to prevent terminal roadway gridlock.

Business OperationsHosted by Vera
Challenge brief

What you are building

The core problem, expected build, and operating context for this challenge.

Correlate Singapore open real-time weather readings with heavy vehicle delivery schedules across port corridors. Reschedule hauler dispatches around high-intensity rain events to prevent terminal roadway gridlock.

Container drayage dispatch controller

Fetch real-time station rainfall data from the Singapore Open Data API.

Ingest scheduled container pickup itineraries between Jurong industrial hubs and PSA terminals.

Identify high-precipitation corridors exceeding heavy vehicle safety thresholds.

Reorder hauler dispatch sequences and output revised driver slot assignments.

Map-based corridor dashboard displaying real-time rainfall overlays, truck queue estimates, and a schedule rebalancing queue.

Query public real-time rainfall endpoints on data.gov.sg or mock the endpoint using recorded monsoon season precipitation matrices. Starter examples below are synthetic. They are not downloaded records.

Singapore open data API Consumes the data.gov.sg real-time weather API structure to query rainfall observations across Singapore monitoring stations.

langgraph, httpx, fastapi. LangGraph manages stateful routing decisions and loop-back verification when rescheduling drayage runs. Efficient local or API LLM capable of evaluating route constraint graphs and generating driver itineraries.

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.

Queries data.gov.sg real-time rainfall data format and identifies stations with heavy rain (>20mm/h).

Delays dispatch times for trucks traversing high-rainfall sectors by at least 45 minutes.

Exports a rebalanced schedule preserving total daily terminal appointment quotas.

```json [ { "input": { "route_id": "R-PSA-JURONG-01", "truck_id": "XD1234A", "planned_departure": "2025-06-01T14:00:00Z", "station_readings": [ { "station_id": "S44", "area": "Jurong West", "precipitation_mm": 35.5 } ], "terminal_slot": "2025-06-01T15:00:00Z" }, "expected_output": { "action": "RESCHEDULE_DEPARTURE", "revised_departure": "2025-06-01T14:45:00Z", "hazard_level": "HIGH_RAIN", "slot_adjusted": true } }, { "input": { "route_id": "R-PSA-CHANGI-02", "truck_id": "XD5678B", "planned_departure": "2025-06-01T14:00:00Z", "station_readings": [ { "station_id": "S107", "area": "East Coast", "precipitation_mm": 2 } ], "terminal_slot": "2025-06-01T15:00:00Z" }, "expected_output": { "action": "PROCEED_AS_PLANNED", "revised_departure": "2025-06-01T14:00:00Z", "hazard_level": "CLEAR", "slot_adjusted": false } } ] ```

Does not control prime mover navigation hardware; provides advisory schedule recommendations to human controllers. Use mock external writes. Require human review before any real deployment.

Rules

Participation guide

Does not control prime mover navigation hardware; provides advisory schedule recommendations to human controllers. Use mock external writes and human review.

Delivery guide

How work is evaluated

Evaluation

Queries data.gov.sg real-time rainfall data format and identifies stations with heavy rain (>20mm/h). Delays dispatch times for trucks traversing high-rainfall sectors by at least 45 minutes. Exports a rebalanced schedule preserving total daily terminal appointment quotas.

Submission format

Runnable source, pinned dependencies, setup commands, working interface, example outputs, recorded demo, tests, and action logs.

Datasets

Challenge datasets

Public datasets, plus the private datasets you have access to.

Evaluation rubric

How submissions are scored

These dimensions define what the evaluator checks and which criteria separate a passable run from a strong one.

Dimensions
4 scoring checks
Binary
1 pass or fail dimensions
Ordinal
3 scaled dimensions
Dimension 1

Complete workflow

Fetch real-time station rainfall data from the Singapore Open Data API. Ingest scheduled container pickup itineraries between Jurong industrial hubs and PSA terminals. Identify high-precipitation corridors exceeding heavy vehicle safety thresholds. Reorder hauler dispatch sequences and output revised driver slot assignments.

Score scale
012
Score 0

Missing or incorrect.

Score 1

Partly complete, with documented gaps.

Score 2

Complete, with reproducible evidence.

Dimension 2

Correctness and evidence

Queries data.gov.sg real-time rainfall data format and identifies stations with heavy rain (>20mm/h). Delays dispatch times for trucks traversing high-rainfall sectors by at least 45 minutes. Exports a rebalanced schedule preserving total daily terminal appointment quotas.

Score scale
012
Score 0

Missing or incorrect.

Score 1

Partly complete, with documented gaps.

Score 2

Complete, with reproducible evidence.

Dimension 3

Review interface

Map-based corridor dashboard displaying real-time rainfall overlays, truck queue estimates, and a schedule rebalancing queue.

Score scale
012
Score 0

Missing or incorrect.

Score 1

Partly complete, with documented gaps.

Score 2

Complete, with reproducible evidence.

Dimension 4

Safe execution

Does not control prime mover navigation hardware; provides advisory schedule recommendations to human controllers.

Binary check

This dimension contributes its full weight only when the submission satisfies the requirement. Partial credit is not awarded.

Learning goals

What you should walk away with

  • Fetch real-time station rainfall data from the Singapore Open Data API.

  • Ingest scheduled container pickup itineraries between Jurong industrial hubs and PSA terminals.

  • Identify high-precipitation corridors exceeding heavy vehicle safety thresholds.

  • Reorder hauler dispatch sequences and output revised driver slot assignments.

Resources and assets

Reference links and supporting material

Dataset notes

Query public real-time rainfall endpoints on data.gov.sg or mock the endpoint using recorded monsoon season precipitation matrices. Supplied starter examples are synthetic, not source extracts.

Challenge setup

Configuration summary for this challenge.

Challenge input

Input details are not configured.

LangGraph

Runtime for stateful agent workflows.

Evaluated output

No output checks are configured.

Evaluation checks
  • Fetch real-time station rainfall data from the Singapore Open Data API. Ingest scheduled container pickup i...
  • Queries data.gov.sg real-time rainfall data format and identifies stations with heavy rain (>20mm/h). Delay...
  • Map-based corridor dashboard displaying real-time rainfall overlays, truck queue estimates, and a schedule...
Configured evaluation evidence
  • 2 public reference cases
Configured runtime
  • 2 configured tools

Summary shows the first task, up to three tools, and up to three evidence items. Open the technical recipe to view all configured items.

View technical recipe

Configured tools

Action Space
  • LangGraph · Optional
Orchestration
  • LangGraph · 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

No workflow tasks are configured.

Recipe freeze marker

No recipe freeze time is recorded.

Frequently Asked Questions about Build a Public Weather Assisted Port Delivery Route Planner