LIVE NETWORK

Live Network

REAL-TIME NETWORK MAP AND INCIDENT OVERLAY / COIMBATORE, TAMIL NADU
14,160 VEHICLES
19 SEGMENTS
4 INCIDENTS
10:03 pm LAST UPDATE
LIVE NETWORK

Congestion map

Free Flow Heavy Gridlock
TRAFFIC STATUS

Segment telemetry

ROUTE OPTIMIZER

Route Optimizer

COMPUTE OPTIMAL PATHS ACROSS THE COIMBATORE NETWORK / COIMBATORE, TAMIL NADU
ROUTE OPTIMIZER

Route parameters

THE STATIC CLIENT ENGINE COMPUTES THE ROUTE WITH INCIDENT-AWARE EDGE WEIGHTS AND COMPARES PERFORMANCE.

NETWORK VIEW

Route overlay

PREDICTIONS

Predictions

FORECAST SEGMENT CONGESTION OVER TIME / COIMBATORE, TAMIL NADU
PREDICTION ENGINE

Congestion forecast

12 hours
1h 6h 12h 18h 24h
FORECAST OUTPUT

Predicted traffic curve

MODEL STATS

Forecast summary

TARGET HORIZON +12 HOURS
PREDICTED CONGESTION 10.0%
PREDICTED SPEED 32 KM/H
CONFIDENCE 76.7%
MODEL ENSEMBLE
INCIDENTS

Incidents

REPORT AND MANAGE DYNAMIC TRAFFIC OBSTRUCTIONS / COIMBATORE, TAMIL NADU
INCIDENT REPORTING

Log new incident

INCIDENT MATRIX

Active road obstructions

ANALYTICS

Analytics

PERFORMANCE BENCHMARKS AND ALGORITHM ANALYSIS / COIMBATORE, TAMIL NADU
ALGORITHM BENCHMARK

Execution details

Algorithm Solve Speed Iterations Heuristic Type
A* search 0.12 ms 4 Haversine Distance
Dijkstra 0.45 ms 10 None (Uniform cost)
OSRM API 120 ms N/A HTTP Server Request
TECHNICAL SPECIFICATION

Graph properties

Graph Structure: Adjacency List Object Hash Map
Nodes Count: 10 Vertices ($V$)
Edges Count: 19 Directed Links ($E$)
Weight Attributes: Distance, Speed, Congestion Index
Solvers: Dijkstra (O(V+E log V)) & A* Search
R² Prediction Accuracy: ~0.89 R² (Simulated Curve Fit)
COMPARISON CHART

Speed vs Iterations