Corridor
Sensors -- / --
Avg Speed -- mph
Vehicles --
Health --%
Average Speed (mph)
0 25 45 65+
Speed Range (mph) Sensors
Stopped (0–5) --
Congested (5–25) --
Moderate (25–50) --
Free Flow (50+) --
Offline --
Show Offline Sensors
CO₂
Carbon Dioxide
Rate -- g/hr
Daily Total -- kg
Low -- -- -- High
g/hr
EMISSIONS TIMELINE (DAY VIEW)
LIVE
Clear Selections
Avg Speed
--
mph
--
Total Vehicles
--
vehicles
--
Avg Occupancy
--
%
--
Network Speed
Network-wide average across active sensors
Network Volume
Total vehicle count per interval
Network Occupancy
Network-wide average occupancy across active sensors
Live Sensor Snapshot — All Las Vegas
-- sensors · -- lanes
Sensor Speed Flow Occupancy
Showing 1-20 of --

Operations Report

--

--
Active Sensors
--
Avg Speed
--
Total Vehicles
--
Network Health
--
Avg Occupancy
--
Speed Distribution
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Emissions Summary
Pollutant Instant Rate Today Cumul. All-Time Cumul.
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Emissions Timeline (15-min snapshots)
No emission snapshots recorded yet today.
Traffic Timeline (Speed & Volume)
No network data recorded yet today.
Prediction Accuracy (MAE)
Sensor Health
No data yet.
Corridor Emissions
No timeline data for this corridor yet.
Select a corridor above.
Data Export
L

LATTICE

UNLV Traffic Intelligence Platform
About

LATTICE is an integrated real-time traffic monitoring, emissions estimation, and speed prediction platform developed at the UNLV Transportation Research Center. The system processes live sensor data from the Nevada FAST system across over 500 detectors on Las Vegas metropolitan freeways, providing actionable intelligence for traffic management and air quality assessment.

The platform combines three core capabilities: real-time traffic state monitoring with lane-level analysis, comprehensive emissions tracking using EMFAC emission factors for 20+ pollutants, and GMAN deep learning predictions for speed forecasting at multiple horizons. All data is visualized through an interactive web dashboard with live updates via WebSocket connections.

Principal Investigator

Dr. Brendan Morris

Professor, ECE
University of Nevada, Las Vegas

Lead Developer

Tarek Bin Zahid

UNLV Transportation Research Center

Affiliation

UNLV Transportation Research Center

Howard R. Hughes College of Engineering
University of Nevada, Las Vegas

System Components & Features
Traffic Monitoring

Real-time speed, flow, and occupancy data from 500+ loop detectors. Includes corridor filtering, network metrics, per-lane analysis, live trend charts, and sensor drill-down capabilities with 24-hour historical data.

Emissions Tracking

EMFAC-based emission factors for 20+ pollutants (CO₂, NOₓ, PM2.5, PM10, CO, SOₓ, and more). Network totals, per-sensor breakdown, daily/cumulative tracking, heat map visualization, and 24-hour timeline playback.

Speed Predictions

GMAN deep learning model for multi-horizon speed forecasts (+15, +30, +45, +60 minutes). Includes model accuracy metrics, per-sensor predictions, current vs predicted comparisons, and prediction history visualization.

Interactive Dashboard

Leaflet-based map with real-time markers, emissions heat layers, timeline scrubbing, sensor selection, corridor filtering, and responsive charts. Live WebSocket updates and export capabilities.