The Future is smart, and so is our New Project

Senseering Takes the Lead in Urban Development with a Real-Time Data Project

Senseering is excited to announce the initiation of the “Integrated Urban Development with Real-Time Data” project. This groundbreaking endeavor aims to establish a cutting-edge and scalable infrastructure for capturing and processing real-time data, driving data-driven urban development to new heights.

Getting to Know the Project: “The Who, What, When, Where, and Why”

Who’s Behind It: Senseering, a leader in data processing, integration, and analysis, is spearheading the “Integrated Urban Development with Real-Time Data” project.

What’s Happening: The project’s objective is to build a modern and scalable infrastructure for capturing and processing real-time data to facilitate integrated urban development.

Where It’s Happening: The project is taking place in Dormagen, where detector infrastructure for capturing traffic, pedestrian, and environmental data is being deployed.

When It’s Happening: The project will unfold over a period of 36 months.

The How and Why: Senseering is a key player in this venture, leveraging its expertise in data processing and integration. The goal is to integrate real-time data into the Urban Data Platform (UDP) to empower data-driven urban planning. Collaborating with Senseering are 4traffic SET GmbH, the Rheinisch-Westfälische Technische Hochschule Aachen (RWTH), and the Dormagen City Marketing and Economic Development Company.

Connecting to mFUND: The Federal Ministry of Digital and Transport is fueling the project through its mFUND innovation initiative, providing funding totaling 414,117.20 €.

Delving Deeper: Project Overview

The project’s overarching objective is to establish infrastructure for capturing and processing real-time data from traffic, pedestrians, and the environment. This infrastructure enables integrated urban development by providing a solid foundation for informed decision-making through real-time data analysis. Detector boxes and LoRaWAN gateways will ensure comprehensive coverage, delivering data-driven insights based on a holistic representation of the urban environment.

Senseering takes a pivotal role in data processing and integration, deploying state-of-the-art technologies to process over 1 million real-time data points seamlessly. This data integration offers invaluable insights, forming the basis for strategic urban development decisions.

Embracing Data and Open Data

In line with our commitment to open innovation, Senseering recognizes the significance of Open Data. Open Data refers to data that are freely usable, modifiable, and shareable for any purpose. The data to be provided aligns with key attributes of Open Data:

• Digitally Stored: Data must exist in digital format, excluding analog materials like drawings or notes. Digitization for data provisioning isn’t required.
• Machine-Readable: Only machine-readable data, automatically interpretable and analyzable, will be provided. This excludes documents, images, or files in non-editable formats like PDFs. Such non-editable files can supplement the machine-readable data.
• Structured Collections: Unstructured data points without context offer limited value. We focus on structured data with inherent context.
• Standardized and Open Formats: Data should adhere to standardized, documented, open, and freely usable formats. Open standards ensure data can be accurately processed, free from dependence on specialized software. Formats like CSV, XLSX, ODS, XML, JSON, RDF, TXT, GeoJSON, KML, etc., align with these principles.

Categories and Considerations: Data Selection and Open Data

The data published as Open Data spans several categories:

• Raw Data: Unprocessed data, often referred to as “raw data,” offer the potential for Open Data. Examples include sensor measurement data. While inherently valuable, these datasets can be extensive and error-prone. Curated, validated, and prepared data may be offered as an alternative.
• Processed and Validated Data: Raw data often undergo quality checks, error correction, and structuring before further processing. These processed and validated datasets are often more user-friendly.
• Results and Analysis Data: Data processing generates intermediate datasets, such as results after calibration or data enrichment through statistical analysis. These refined datasets are also candidates for publication.

“Senseering is dedicated to driving a data-driven urban future, and this project exemplifies our commitment. By leveraging real-time data and advanced technology, we’re forging the path toward evidence-based urban development that truly addresses community needs,”

stated Dr. Daniel Trauth, CEO of Senseering.

For updates and details about the project, please visit Senseering’s LinkedIn, Twitter, and mFUND.