Case · Smart City
Smart city — integrated traffic & energy simulation
// PERSONA
Jung, Smart-city Operations Center lead
// INDUSTRY
Smart City
// DATASET
case_04 · iot_traffic_energy.csv · 240,000 events/day
PROBLEM
The Problem
IoT sensors emit 240K events/day across traffic, power, and environment, yet per-domain tools sit in silos and cross-domain decisions are impossible. "How much does a 5% traffic-flow improvement cut energy use?" remains unanswerable.
// IoT EVENTS / DAY
240,000+
교통
전력
환경
// CROSS-DOMAIN 분석 불가
APPROACH
XimTier Approach
Hourly aggregation runs at IoT gateways, and eight city KPIs — traffic, average speed, peak power, CO₂, and more — are analyzed via integrated regression and Reverse What-If. Everything is exposed through an MCP-standard interface so AI agents can drive automated scenarios.
// UNIFIED IoT GATEWAY
교통 −5%
→
에너지 −3.2%
상관 0.78
신호 최적
→
CO₂ −4.1%
±3% 정확도
// MCP-CALLABLE FROM AI AGENTS
OUTCOMES
Outcomes
OUT / 01
Real-time city KPI dashboard
OUT / 02
Traffic/energy scenario comparison time −82%
OUT / 03
MCP-callable from AI agents
OUT / 04
Carbon emission simulation accuracy within ±3%
⚠ Example data — fine-tuned on customer data at deployment.