Smart City Heuristics Engine

Municipal planning and mobility infrastructure is undergoing a
smart city technology disruption.

What is this current and future path?

It starts with planning. According to the American Planning Association, cities are focused on “Hyper-local data-driven decision making,” which is part of a “Smart City” technology-driven planning platform and implementation Eco-system.

What is the catalyst for this planning approach? Denser cities, more cars on the road, limited infrastructure, and cars and truck that are technology enabled as moving edge devices. So, what is an edge mobility device? A connected device under the guise of IoT (Internet of Things) that allows a user to launch an application such as Apple CarPlay, resulting in user’s vehicle becoming an extension of their iPhone. So a critical link to this digital metamorphosis is also part of the burgeoning electric vehicle demand across the full spectrum of transportation. Smart City Heuristic Engine and P2P-Heuristics is at the epicenter of connective planning and implementation technologies in this ever-evolving landscape.

But what defines a smart city?

It truly is the platinum standard for city planning and future economic development, involving technologies that embrace communication from city infrastructure, mobility, environmental, public and private planning, and implementation models that are truly scalable and foster quality of life standards that become community benchmarks.

To address the Hyper Driven decision-making at a local level, P2P-Heuristics has developed a mesh technology stack approach with the integration of a data-rich Smart City Digital Twin (SCDT) footprint as defined by the American Planning Association (APA) PAS Quicknotes, Issue 89. The three primary data SCDT components:

•      Human systems (government, industry, and residents)
•      Infrastructure systems (physical systems and the services they provide)
•      Technology systems (devices, sensors, and data analytics infrastructure)

Thus assisting a partner city in maximizing the current data model for future mobility, EV, curb management, smart city strategies, and implementation from these three data buckets as listed above.

What is a Smart City Digital Twin (SCDT)?

SCDTs are built upon the inputs of high-resolution human and sensor-generated city data. As outputs, SCDTs use virtual reality, augmented reality, the internet of things, and artificial intelligence to create data-rich visual exploration environments for collaborative decision-making. Such a data-integrated digital replica of a city provides a new dimension of context. The location-specific nuances across diverse inputs are captured and incorporated into a common ground for enhanced decision-making. A data-rich SCDT brings together human, and infrastructure data gathered via legacy and current data, city envelope characteristics, strategically placed sensors, crowd-sensing mobile applications, social media, and other means, allowing city officials and planners to virtually access the city’s data in the past, present, and future.

The P2P-Heuristics’ Smart City Heuristics Engine is a software and hardware platform that leverages AI/ML to analyze operational data in a city or region.

This engine identifies patterns and trends in legacy, current and actionable data, such as busy times of the day and systems availability, such as curb management.

This engine adds context to the data by incorporating geographic location and historical information, providing the city decision-makers and community with ongoing modeling assets to simulate and plan. It also includes the ebb and flows across other relevant information, such as nearby businesses, public transportation, and multi-model and zoning requirements to help with mobility issues and improve livability.

Garnering valuable insights and that help cities optimize their mobility and operations by processing and analyzing large amounts of data and converting it into actionable recommendations.

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