In an increasingly urbanized world, cities face complex challenges related to mobility and the environment. Congestion, pollution, and inefficiencies in public transportation are critical issues. However, technology offers innovative solutions, and Big Data has become a key tool in transforming urban mobility.
Standards and Regulatory Framework for Big Data in Mobility
Big Data platforms adhere to the UNE 178104:2017 standard for smart city management, ensuring interoperability, scalability, and security in data processing. These platforms are typically deployed in the cloud, utilizing modular architectures based on Open Source components, facilitating integration with various urban infrastructures and services.
Thanks to this standardization, data can be used more efficiently and in a more coordinated manner, transforming information into valuable insights through advanced techniques such as Artificial Intelligence (AI) and Machine Learning.
The Power of Big Data in Mobility
Big Data platforms enable the collection, processing, and analysis of vast amounts of information that, due to their size and complexity, cannot be managed using traditional methods. By integrating data from urban sensors, cameras, IoT devices, and external sources such as mobile network data or GPS from vehicles, mobility managers can make strategic real-time decisions.
This approach has driven the development of advanced solutions that optimize traffic, enhance public transportation, and reduce environmental impact. One of the most innovative technologies in this field involves platforms that apply Artificial Intelligence and Computer Vision to generate predictive models, anticipate incidents, and optimize urban mobility.
The Evolution of Vertical SCADA Systems
Until now, each infrastructure and its vertical SCADA system managed data independently, limiting the ability to obtain a comprehensive view of urban mobility. The evolution towards Big Data platforms enables a more efficient integration of these systems, facilitating unified management based on advanced analytics.
Through ETL (Extract, Transform & Load) mechanisms, these platforms automate data cleansing and transformation, ensuring efficient reuse. This allows collected data to be processed more quickly and analyzed to provide valuable insights for strategic decision-making.
Dashboards and Decision-Making
One of the major advantages of these platforms is their ability to provide advanced dashboards powered by Business Intelligence (BI) tools. These dashboards allow mobility managers to visualize key information through interactive panels and spatial-temporal analysis.
The most advanced solutions in this field include the creation of Key Performance Indicators (KPIs) and the implementation of predictive models that help anticipate congestion or traffic incidents. Additionally, they allow for the analysis of mobility patterns and the real-time evaluation of different transportation strategies.
Benefits of Big Data in Urban Mobility
• TRAFFIC OPTIMIZATION: Real-time data analysis improves traffic light and route management, reducing wait times and preventing congestion.
• ENHANCED PUBLIC TRANSPORTATION: Dynamic adjustment of bus and train frequencies based on real demand, improving the user experience.
• SUSTAINABILITY AND CARBON FOOTPRINT REDUCTION: Smoother traffic flow results in lower emissions and reduced environmental impact.
• ROAD SAFETY: Identification of high-accident areas to improve signage and enhance safety measures.
• PREDICTIVE MODELS: Anticipation of congestion and events, enabling better mobility planning.
Towards Smart and Sustainable Mobility
The use of Big Data in urban mobility represents a paradigm shift in city management. The most innovative solutions in this field, such as SIDERA Analytics by SICE, transform data into strategic tools, providing a comprehensive vision to improve mobility, reduce pollution, and create more efficient and sustainable urban environments.
The successful implementation of these technologies will pave the way for smarter mobility, where decisions are based on precise, real-time information, ensuring that the cities of the future become more livable and accessible for everyone.
