> For the complete documentation index, see [llms.txt](https://docs.rekor.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.rekor.ai/rekor-discover-r/vehicle-insite/vehicle-insite-overview.md). # Vehicle Insite Overview Rekor Discover's Vehicle Insite application utilizes real-time video to provide actionable vehicle intelligence such as vehicle site metrics, vehicle characteristics, and Electric Vehicle (EV) statistics. Utilizing state-of-the-art AI and high-definition camera systems, Vehicle Insite delivers real-time traffic data to deepen your understanding of the vehicles within a geography, enabling better planning, enriched experiences and potential targeted marketing initiatives. With visit metrics, you can analyze traffic flow patterns to prepare and plan for volume fluctuations over days, weeks, months or even years. With vehicle characteristics, you can understand vehicle demographics to leverage in the creation of targeted marketing campaigns that engage and attract the ideal customer segments. With EV statistics, you can assess EV volume to support data-driven initiatives and revenue opportunities such as EV charging stations deployment. Vehicle Insite also provides green house gas (GHG) estimates and reporting based on vehicle volumes and average vehicle emissions to help you understand the emissions impacts vehicles are having in your geography. Download the Rekor Discover Vehicle Insite User Guide here: {% file src="/files/yqgT8asmdH274UijMzTN" %} {% embed url="" %} --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation by asking a question. Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters: ``` GET https://docs.rekor.ai/rekor-discover-r/vehicle-insite/vehicle-insite-overview.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.