Traffic Order Management

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

Traffic Order Management System

Overview

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:

• Signal timing optimization
• Traffic problem discovery
• Dynamic lane management
• Effect evaluation

Core Capabilities

Comprehensive traffic management capabilities powered by AI and IoT technologies

AI Traffic Engine

Advanced artificial intelligence and cognitive engine for traffic pattern recognition and intelligent decision making

Multi-source Data Integration

Integration of people, vehicles, roads, and environmental data from multiple IoT sensors and business systems

Closed-loop Management

Complete management cycle from situation analysis, problem diagnosis, to strategy optimization and evaluation

Complete Solutions

Comprehensive traffic order management solutions for different urban needs

Traffic Order Management Decision System

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.

Situation analysis and problem diagnosis
Strategy optimization and simulation verification
Implementation evaluation and closed-loop control
Traffic Order Management Decision System

Traffic Signal Control System

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.

Network access and traffic flow detection
Regional signal control and bus priority
Third-party platform integration
Traffic Signal Control System Interface

Management Process

Systematic approach to traffic order management with data-driven decision making

1

Problem Discovery

Traffic problem identification through multi-source data analysis

2

Spatiotemporal Division

Automatic division of road network space and traffic flow time periods

3

Signal Optimization

Intelligent signal timing and dynamic lane management optimization

4

Simulation Verification

Traffic simulation and strategy verification before implementation

5

Effect Evaluation

Traffic effect evaluation and continuous optimization feedback

Customer Success Stories

Real-world implementations demonstrating the effectiveness of our traffic management solutions

Yichun - Intelligent Traffic Signal Control System

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.

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Deyang - Traffic Order Management System

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.

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Key Benefits

Comprehensive improvements in traffic management efficiency and urban mobility

Enhanced Efficiency

Intelligent traffic management leading to improved traffic flow and reduced congestion

Orderly Roads

Better organized traffic patterns resulting in safer and more predictable road conditions

Better Travel Experience

Improved urban mobility and citizen satisfaction through optimized traffic management