🚔 BENGALURU TRAFFIC POLICE

Parking Congestion Decision Support Console

LIVE MONITORING MODE
00:00:00 Tuesday, 16 June 2026
🚨 CRITICAL ALERT — Commercial Street | Deploy Tow Unit | Estimated recovery: +480 veh/hr
Situation Summary
312 Citywide Hotspots (Modeled)
12 Active Alerts (Est.)
82/100 Citywide Impact Index (Est.)
61% Recoverable Impact (Proj.)
Priority Queue Showing Top 5 of 12 Active Alerts
Priority #1

Commercial Street

Jurisdiction Area: HAL Police Station

Congestion Impact Estimate (Decision Support)

Zone experiences repeated illegal double parking of commercial delivery vehicles, causing downstream capacity degradation.

Modeled Before / After Impact
Modeled Queue Pressure High Low
Estimated Capacity Loss 85% 25%
Congestion Impact Index 92/100 23/100
Projected Recovery: Strong (+75% Benefit)
🚔 Dispatch Decision Support
RECOMMENDED UNIT Tow Truck Alpha
MODELED URGENCY Immediate
RECOMMENDED UNITS 2 Units
ESTIMATED ETA 12 min
📊 Operational Intelligence Panel Context Active
Priority Rank Priority #1
Severity Critical
Key Risk Factors Night-heavy Scooter Obstructions
Violation Volume 6,035 Events
Peak Risk Window 22:00 - 01:00
Recommended Action Deploy Tow Unit
Confidence Level High
Forecast Summary Proj +1h: 309 | +2h: 283
Deployment Plan Tow Truck assigned · ETA 18m
Current Hour: 22:00
SCRUB SLIDER FOR HISTORICAL PLAYBACK
12 AM 4 AM 8 AM 12 PM 4 PM 8 PM 11 PM
Command Log

🚔 System Methodology & Notice

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⚠️ Decision Support Notice: This platform is a decision-support console driven by historical replay and modeling, not a live real-time sensor feed.
  • Historical Database: Operates on anonymized historical parking violation records.
  • Spatial Clustering: Hotspots are identified via repeated spatial clustering of violation events.
  • Congestion Impact: Estimated using standard traffic-flow and queue-pressure assumptions.
  • Enforcement Priority: Operational scoring determines dispatch ranking based on estimated recovery benefit.
Technical Appendix (Algorithms)

- Hotspot Extraction: Density-based spatial clustering (HDBSCAN) on GPS coordinates.
- Violation Forecast: Gradient boosted decision trees (XGBoost) trained on temporal features.
- Traffic Flow Model: Greenshields & Lighthill-Whitham-Richards (LWR) shockwave equations for capacity loss and queue estimates.