Immense InfraOps simulation platform enables users to quickly and easily assess the impacts of multiple interventions and alternative Traffic Management (TM) options, analysing a full 24hr day in the life of the network under different TM scenarios.
Thanks to the agent-based nature of the simulation, users can quantify the impacts, including carbon emissions and preferred diversion routes, associated with alternative interventions and TM scenarios and identify affected infrastructure and communities.
Immense simulation platform enables its users to quantify the impacts caused by disruption scenarios and to test the mitigation measures that could relieve them, providing the evidence-base for more informed interventions planning.
The platform automatically generates Scenario Impact Assessment reports that quantify the impacts caused by disruption scenarios, and users can test the mitigation measures that could relieve such impacts. Facilitating the engagement with users and utility services involved in the process, and a simple front end to configure TM scenarios for skilled and non-skilled users, are amongst some of the key features and benefits of the Immense InfraOps platform.
Highlights
Develop effective traffic management plans: the traffic simulation techniques developed by Immense allow for a realistic representation of the network state, enabling quantitative comparison of impacts of alternative intervention scenarios and identifying potential mitigation options.
Improve customer engagement: the automated generation of output in a friendly format, tailored to expert and non-expert users, facilitates the engagement with users and utility services involved in the process.
Quicker, yet better, planning: by pulling together a wide range of information, the Immense platform provides a holistic picture of various impacts on the transport network, providing the evidence base for enabling better prediction and planning. The underpinning AWS cloud infrastructure enables quick analysis and comparison of transport options, as scenario runs take hours rather than days/weeks to complete.
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
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This contract uses two pricing dimensions that you configure together. Study area counts the geographies your team subscribes to. Users counts the people in your organisation who access the platform. Your total cost scales with both: adding more geographies raises the study area quantity, and adding more people raises the user quantity. The two dimensions are independent, so you can size each to fit your needs. Both are billed under the agreed contract term.
Top-of-mind questions for buyers
What counts as one study area for billing?
A study area is a geography your team subscribes to on the platform. Each geography you add raises the study area quantity by one. The platform models traffic flows across the network within these subscribed geographies. Choose the geographies that match the areas your team needs to assess.
How do the study area and user dimensions combine on my invoice?
Both dimensions bill independently and appear on the same contract. Study area reflects the geographies you subscribe to. Users reflect the people accessing the platform. Adding geographies raises one quantity; adding people raises the other. Your total reflects both quantities together under the agreed contract term.
What happens if we need to add more users or geographies mid-contract?
You can increase quantities by contacting your account manager. Adding people raises the user quantity, and adding geographies raises the study area quantity. A member of the vendor team discusses the details with you. Each dimension is sized independently, so you adjust only what you need.
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In case of refund, please contact support@immense.ai within 48 hrs of purchase.
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Support is available from 9:00 AM until 5:00 PM every working day, by contacting support@immense.ai, with response times as per Service Level Agreement.
When using the InfraOps platform, if errors are encountered, pop-up windows where users can directly report errors and contact the support desks are available.
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