Toll Road Sensor Analytics

A easy Data Modeling interview practice problem on DataDriven. Write and execute real data modeling code with instant grading.

Domain

Data Modeling

Difficulty

easy

Seniority

L4

Problem

We operate a toll road network with 200 sensor-equipped lanes across 15 locations. Each sensor captures license plate reads, timestamps, and lane metadata. We need to compute real-time traffic volume, average transit times between checkpoints, and flag anomalies for toll evasion detection. Design the data model.

Summary

Cars enter, cars exit. Except when they don't.

Practice This Problem

Solve this Data Modeling problem with real code execution. DataDriven runs your solution and grades it automatically.