Multi-source data-driven, dual-engine empowered, closed-loop traffic order management for efficient governance

Traffic order management system serves traffic departments with comprehensive solutions including signal control, road optimization, traffic evaluation, and guidance information release.
Leveraging big data, IoT, and AI Traffic cognitive engine capabilities, our system utilizes edge computing and multi-source data integration for intelligent traffic management.
Key Capabilities:
Comprehensive traffic management capabilities powered by AI and IoT technologies
Advanced artificial intelligence and cognitive engine for traffic pattern recognition and intelligent decision making
Integration of people, vehicles, roads, and environmental data from multiple IoT sensors and business systems
Complete management cycle from situation analysis, problem diagnosis, to strategy optimization and evaluation
Comprehensive traffic order management solutions for different urban needs
Based on the integration and governance of multi-source IoT sensing data, business data, and internet data, the system analyzes traffic operation problems through data research, automatically divides road network space and traffic flow operation time periods.
It utilizes signal control and traffic organization methods for spatio-temporal coordinated optimization, constructs simulation models for scheme pre-evaluation and implementation evaluation, and integrates with traffic guidance systems for public travel guidance.

Targeting traffic police users' traffic signal control needs, based on Hikvision's rich front-end sensing capabilities and IoT data governance advantages, supported by the "AI Traffic cognitive engine".
Combining advanced concepts and technologies such as big data, cloud computing, deep learning, and IoT, providing a complete lifecycle solution from traffic research, scheme design, implementation, to evaluation.

Systematic approach to traffic order management with data-driven decision making
Traffic problem identification through multi-source data analysis
Automatic division of road network space and traffic flow time periods
Intelligent signal timing and dynamic lane management optimization
Traffic simulation and strategy verification before implementation
Traffic effect evaluation and continuous optimization feedback
Real-world implementations demonstrating the effectiveness of our traffic management solutions
Hikvision's R&D team collaborated deeply with Yichun Traffic Police Brigade to explore technology applications that meet user needs, achieving significant improvements in traffic flow and signal efficiency.
Over 200 intersections in Deyang's main urban area, leveraging massive front-end sensing data to implement comprehensive traffic order management including signal control, traffic diagnosis, evaluation, simulation, and information release.
Comprehensive improvements in traffic management efficiency and urban mobility
Intelligent traffic management leading to improved traffic flow and reduced congestion
Better organized traffic patterns resulting in safer and more predictable road conditions
Improved urban mobility and citizen satisfaction through optimized traffic management