Urban Rail Transit Big Data Solution

Application Scenario

Urban Rail Transit Big Data Solution

Leveraging big data, artificial intelligence, and other advanced technologies, this solution deeply explores patterns within rail transit systems to guide operations and management practices. It aims to improve operational efficiency, passenger services, public safety, and social governance. The integration of big data with rail transit operations and the resulting business innovations have become the current mainstream and future trend in the segmented rail transit market.

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Industry Challenges

Fragmented information and limited display capabilities hinder comprehensive real-time perception.

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Lack of data sharing impedes the construction of multi-level coordinated command and dispatch capabilities.

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Insufficient data analysis and application limit support for scientific decision-making.

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Widespread information technology adoption with inadequate intelligence fails to support refined management.

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Our Methodology

Data Integration, Business Visualization

Construct a big data center and integration platform to achieve comprehensive consolidation and sharing of subway group operational information. By leveraging data visualization and interfacing with rail professional systems, realize multi-system integrated monitoring of operations and management, enabling real-time awareness of overall status. Achieve “single-screen visualization,” “single-map management,” and “single-network coordination.”

Layered Decoupling, Middle Platform Driven

Establish a rail transit “data middle platform” with strong big data support and service capabilities to address common issues across technology support, data collection, governance, mining, analysis, application, and visualization under strategic business goals. Through productized technical functions and the “data middle platform” architecture, provide technical support services across different business dimensions and scenarios.

AI-Driven, Closed-Loop Management

Through mining and analysis of massive information, combined with AI middle platform and technologies, apply artificial intelligence models to support multi-dimensional data-driven and intelligent management decision-making in operations, safety, passenger services, maintenance, and resource development. This forms an efficient, closed-loop, data- and intelligence-driven rail transit management system.

Asset Activation, Value Realization

Utilize big data products and technologies to analyze vast industry asset data, maintaining assets in optimal operational conditions. Build a rail transit data asset system aligned with current needs and future growth, improving data quality and value, delivering data services, and enhancing operational capacity. This supports flat, real-time, cross-level, and multi-dimensional management and command requirements.

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Implementation Value

Applying big data technologies for data collection and analysis to extract valuable insights is an effective approach for understanding passenger travel habits, managing flow control, and defining fare strategies in urban rail transit. It serves as a powerful tool for passenger flow forecasting, enabling rational planning and optimized operational organization. Moreover, transforming data into a competitive advantage is an inevitable choice for the rail transit industry. How to comprehensively apply big data technologies within urban rail transit and efficiently, accurately convert the vast and complex data into visualized, interpretable, and actionable information is both a critical challenge for the industry and a key area for big data development.