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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
mid

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.

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