As the main artery of the national economy, expressways are critical infrastructure supporting economic development and promoting regional synergy. In the digital era, traditional expressway management models face unprecedented challenges issues like fragmented data, lagging perception, and delayed responses are becoming increasingly prominent. Guided by the strategy of building China into a country with strong transportation, constructing a new generation of intelligent, digital management and control systems has become an inevitable trend.  

Core System Digital Twin Management and Control System  

Sefon Software, with deep insight into industry needs, leverages its self-developed SDC ME Digital Twin Visualization Platform to provide a one-stop, zero-code visual development platform. With graphical, process-oriented data modeling capabilities, it rapidly constructs a dynamic, all-element, full-lifecycle mirror of physical expressways, enabling unified management of the entire road network.  

Static Data Digital Twin for Expressways  

Builds digital twin models of road assets, covering traffic devices (gantries, cameras, electronic message signs, lane signs) and large-scale facilities (interchanges, toll stations, service areas).  

Supports statistical queries, data previews, model calibration, and model replacement for digital twin asset models, enhancing road asset management capabilities.  

Traffic Operation Status Digital Twin  

Based on the expressway digital twin scenario, integrates lane-level real-time traffic data. Supports overlay display and full-scenario roaming of information such as traffic incidents, facility status, weather conditions, constructionmaintenance, and service area operations.  

Analyzes operational metrics like traffic volume, average speed, and congestion index, providing managers with real-time, all-element decision-making support through a comprehensive view on a single screen.  

Traffic Facility Control Digital Twin 

Leverages digital twin models of expressway assets (variable message signs, cameras, variable lane devices, speed limit devices). Enables remote visual control and coordination, such as message sign updates, real-time camera feeds, and IoT device control.  

Maps vehicle data (type, license plate, trajectory) onto lane-level digital twin scenarios using video recognition data. Supports vehicle classification queries and profile building.  

After traffic incidents, retrieves involved vehicles for video trajectory backtracking, enabling digital twin tracking.  

Customized Systems：Meeting Multi-Scenario Needs  

Building on the digital twin management system, Sefon Software integrates data mining, modeling, and AI-powered Smart Data Query capabilities to provide customizable functions for different expressway scenarios and user levels.  

Road Network Digital Twin Operations Analysis  

Digital Operations  

Correlates road network status (traffic flow, conditions), weather data, service area operations, and supply chain data. Provides digital dashboard-style business analysis for highway management groups.  

Digital Tolling  

Integrates toll network data, checkpoint data, ETC customer service data, etc. Enables functions like toll vehicle trajectory analysis, cloned vehicle alerts, and fee evasion vehicle profiling. Improves fee recovery efficiency and safeguards toll revenue.  

Digital Dispatch  

Focuses on macro-management of road networks and key sections. Builds modules for flow analysis, congestion analysis, incident analysis, and traffic control level distribution. Combines visual charts for real-time monitoring by management offices and operations centers.  

Digital Maintenance  

Aggregates maintenance patrol plans and defect prevention data. Monitors key maintenance targets in real-time with anomaly alerts via visual charts, enabling real-time oversight of maintenance efficiency.  

Digital O&M (Operations & Maintenance)  

Displays attribute and operational information of facilities (service areas, gas stations, variable message signs) on GIS maps. Shows layer distribution of traffic devices and allows detailed attribute viewing.  

Road Network Digital Twin Monitoring and Command Dispatch  

Road Network Situation Monitoring Management  

Uses holographic sensing and automatic video capture to monitor expressway networks (road incidents, congestion, traffic flow) end-to-end. Enables rapid confirmation and second-level reporting of incident location, process, and impact.  

Traffic Simulation and Proactive Control  

Supports traffic impact simulation for scenarios like construction, accidents, and severe weather. Inputs parameters (e.g., construction locationduration), uses cloud control platform calculations to display future congestion, queue lengths, and other dynamics on the twin network.  

Employs traffic flow prediction algorithms for timely congestion warnings. Formulates precise control strategies based on incident typeseverity and coordinates execution via message signs, broadcasts, navigation apps, and toll station personnel.  

Incident Handling Management  

Provides command centers with closed-loop management from incident discovery to resolution. Supports incident logging and automatic dispatch to towingrescue systems.  

Integrates RPA (Robotic Process Automation) for automated multi-channel reporting. Monitors and records incident resolution status, enabling collaborative management with traffic police.  

Smart Expressway Data Mining Models  

Road Traffic Congestion Mitigation Analysis Model  

Leverages traffic incident data, flow data, operator data, transportation industry data, traffic management data, and field video. Analyzes congestion trends, holiday traffic efficiency, and impact to support rapid congestion resolution decisions.  

Holiday Travel Analysis and Prediction Model  

Predicts migration patterns to hotspot citiesregions and travel trends (intrainter-city) using data on holidays, weather, historical traveler numbers, operator signaling, and expressway policies. Supports preemptive traffic diversion and control planning.  

Other Data Mining Models  

Builds models for key expressway sectionsscenarios, e.g.  

- Key station passenger flow prediction  

- Major highway section capacity matching analysis  

- Two-passenger-one-hazardous (liǎng kè yī wēi) multi-route identification  

Addresses diverse analytical and predictive needs.  

Smart Data Query ：AI-Driven Multi-Functional Business Interaction  

Sefon Software’s SDC GDE Smart Data Query & Analysis Platform is an AI large-model-driven data intelligence platform. Deeply integrating industry knowledge and multimodal analysis, it provides secure, trustworthy deep analysis solutions, enabling high-precision data value extraction.  

Smart Data Query  

For leadership and staff at road section management centers. Eliminates predefined report templates. Enables an ask anything, get any table model—input business needs to auto-generate relevant data visualized via charts.  

Smart Q&A  

For domain experts and managers. Supports professional Q&A on incident handling, electromechanical equipment O&M, and expressway operations. Intelligently recommends solutions and optimizations based on user data.  

Smart Writing  

Uses pre-trained models to draft daily management reports, major incident analyses, project proposals, etc. Auto-generates document outlines and body text based on titles.  

Command Control  

Provides rapid human-machine interaction for operations staff. Quickly opens pagesapps via voicetext commands. Controls devices (e.g., Open monitoring video for Section X and run recognition algorithm).  

Plugin Extension  

Dynamically extends Smart Data Query capabilities. Deeply integrates with road network dispatch platforms, OA systems, etc. Instantly calls APIs (e.g., weather forecasts) or external knowledge bases, evolving from static repositories to dynamic intelligent agents.  

Smart Analysis  

For decision-makers and operations staff. Deeply integrates business data and knowledge bases during root cause or correlation analysis. Auto-links chart metrics with business context via smart algorithms.  

Sefon Software Expressway Case Studies  

Project Smart Operations Center for an Expressway  

Core focus Real-time monitoring, smart prediction, efficient handling, precise service. Integrates road network perception and coordinated command. Builds a one-stop platform covering data collection, governance, analysis, and visualization. Achieves end-to-end refined management of incidents (discovery → confirmation → dispatch → resolution → closure). Enhances proactive warning capabilities, incident handling efficiency, and road network safety.  

Project Big Data Enhancement for a Transportation Investment Group  

Constructs a one-stop data management tool for collection, processing, governance, analysis, mining, and visualization. Strengthens the group’s digital management capabilities. Forms foundational dataapplication infrastructure, providing an integrated digital support base for data asset management and value enhancement.  

Project Provincial Integrated Transportation Digital Platform  

Leverages Sefon Software’s self-developed products (SDC UE, SDC Ugis). Builds comprehensive analysis capabilities combining business data and spatialGIS information. Develops 13 visual analysis themes including  

- Integrated planning analysis  

- Holiday travel analysis  

- Transportation analysis  

- Project management analysis  

- Law enforcement analysis  

Driven by China’s transportation power strategy and the digital transformation wave, Sefon Software uses mature digital twin technology to build a parallel system of physical and digital highways. This enables operational innovation and efficiency leaps for expressways, providing solid support for building smart, safe, smooth, and innovative expressways.