analyze_traffic_simulation
Analyzes traffic simulation results to identify patterns, bottlenecks, and optimization opportunities for improving urban mobility and infrastructure planning.
Instructions
Conducts comprehensive analysis on simulation results, providing insights on traffic patterns, bottlenecks, and optimization opportunities for the specified parameters.
Input Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| ctx | No | ||
| region | No | unknown | |
| scenario | No | unknown | |
| simulation_id | Yes | ||
| time_range | No | unknown |
Implementation Reference
- src/fujitsu_sdt_mcp/server.py:529-564 (handler)The core handler function decorated with @mcp.tool(), implementing the logic to analyze traffic simulation results by fetching metrics via FujitsuSocialDigitalTwinClient and generating a structured analysis report with key findings.@mcp.tool() async def analyze_traffic_simulation(simulation_id: str, region: str = "unknown", scenario: str = "unknown", time_range: str = "unknown", ctx: Optional[Context] = None) -> Dict[str, Any]: """Conducts comprehensive analysis on simulation results, providing insights on traffic patterns, bottlenecks, and optimization opportunities for the specified parameters.""" try: if not simulation_id: return format_api_error(400, "simulationId required") async with await get_http_client() as client: api_client = FujitsuSocialDigitalTwinClient(client) metrics_result = await api_client.get_metrics(simulation_id) if not metrics_result.get("success"): return metrics_result analysis = { "region": region, "timeRange": time_range, "scenario": scenario, "metrics": metrics_result.get("data", {}).get("metrics", {}), "analysis": { "timestamp": datetime.now().isoformat(), "summary": "Traffic simulation analysis", "keyFindings": [ f"CO2: {metrics_result.get('data', {}).get('metrics', {}).get('co2', 0)}kg", f"Avg travel time: {metrics_result.get('data', {}).get('metrics', {}).get('travelTime', 0)}min", f"Total traffic: {metrics_result.get('data', {}).get('metrics', {}).get('trafficCountTotal', 0)}" ] } } return analysis except Exception as e: logger.error(f"Analysis error: {e}") return format_api_error(500, str(e))