# Operation Samples

### Initial Device Distribution (0.25% of Total Vehicles on Route)

This table provides an overview of initial device allocation across eight cities, covering significant road networks even with minimal deployment. The “To be Mapped” column represents the estimated portion of the road network to be mapped.\\

<figure><img src="https://3216618625-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FKrrHounfAEWPReMcavDK%2Fuploads%2FA5hNIuj6PQF3O7O3nrUa%2FINITAIL%20DEVICE%20DISTRIBUTION.png?alt=media&#x26;token=d5d0c93c-d1ed-4323-8387-870efec073ab" alt=""><figcaption></figcaption></figure>

### Phased Accuracy Progression

Accuracy improvements over time are illustrated here. The number of vehicles and mapping accuracy are shown for Phases 1 and 4, demonstrating how coverage and data accuracy will improve with additional deployment.\\

<figure><img src="https://3216618625-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FKrrHounfAEWPReMcavDK%2Fuploads%2F9x1Yad9rvVOEgYs3Ovlo%2FPhased%20ACCURACY.png?alt=media&#x26;token=aab7d9b6-34fe-450e-a3af-e5368349d772" alt=""><figcaption></figcaption></figure>

**Note:** Phase 4 buses are shown as (Regular + Additional vehicles)

This progression emphasises how accuracy enhances in each phase, leveraging additional vehicles to create a more precise mapping database.

### &#x20;Financial Overview - Other Revenue (1.5-2 Years)

This table provides a conservative revenue projection from various sources, illustrating a substantial potential income for PathPulse.ai.

<figure><img src="https://3216618625-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FKrrHounfAEWPReMcavDK%2Fuploads%2FG7DKcyRY2fOiremrbD2P%2FProjected%20Revenue.png?alt=media&#x26;token=5b822f96-00d7-4bbb-8096-fbf7a4bfee5f" alt=""><figcaption></figcaption></figure>

With an estimated revenue of $125-150 million, this breakdown showcases the significant earning potential across different segments, further underscoring the scalability of PathPulse.ai’s model.
