Core Platform

AI Traffic Management

AI traffic governance platform for event detection, intersection diagnosis, signal optimization, coordinated response and outcome assessment

AI TrafficVideo AnalysisSmart Control
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AI Traffic Management
Product and system interface preview

Overview

The AI Traffic Governance Platform combines video AI analysis with multi-source traffic data governance across video, radar, signal control, intersection registries, and historical incidents. It supports event detection, intersection assessment, signal optimization, assisted violation discovery, coordinated response, and outcome validation.

Core Capabilities

  • AI automatic traffic event detection and alerting
  • Intelligent signal optimization and green wave control
  • Automated violation evidence and push
  • Situational analysis and governance decision support

Governance Loop

  • Maintain one registry for intersections, devices, signal plans, violations, and incidents
  • Use metrics and models to identify high-risk sites and abnormal trends continuously
  • Track recommendations, responsible teams, execution progress, and field feedback
  • Validate real-world outcomes through simulation, observation windows, and data comparison
PRODUCT EVIDENCE

System & Scenario Evidence

AI traffic governance cockpit
Traffic status, incident analysis, and command collaboration center
AI traffic command center
Traffic incident analysis and command collaboration
Traffic field response
Platform alerts connected to field response
Traffic governance review meeting
Recurring assessment, before-and-after validation, and cross-department review
FAQ

Frequently Asked Questions

Direct answers covering use cases, core capabilities, and delivery.

What is AI traffic governance?

AI traffic governance brings video recognition, intersection registries, radar, signal control, violation, and incident data into one platform for continuous discovery, diagnosis, planning, coordinated execution, and outcome assessment.

Which data can an AI traffic governance platform use?

Depending on project conditions, the platform can integrate video, enforcement cameras, radar, signal control, road registries, violations, incidents, weather, and field-response data while aligning time, location, and metric definitions.

How are traffic governance outcomes evaluated?

Safety, efficiency, and order can be compared before and after intervention by intersection, corridor, or area. Simulation, observation windows, incident trends, and field feedback provide evidence for recurring reports.

SCENARIO PRACTICE

From Field Problems to Executable Scenarios

Platforms, equipment, and data are organized around real workflows, so every capability maps to a concrete operation and delivery outcome.

Intersection Diagnosis from Existing Data
Traffic conditions and intersection evaluation
SCENARIO 01

Intersection Diagnosis from Existing Data

Intersection registries, radar, signals, enforcement cameras, and channelization data are normalized to evaluate individual intersections, corridors, and wider areas.

  • Multi-source access
  • Intersection scoring
  • Corridor analysis
  • Data standardization
Risk Detection Connected to Actionable Plans
Traffic safety risk detection and optimization
SCENARIO 02

Risk Detection Connected to Actionable Plans

The platform analyzes violations, signal conflicts, channelization risks, and area-wide patterns, then supports signal, organization, and field-governance recommendations.

  • Violation analysis
  • Signal conflict review
  • Channelization risks
  • Plan generation
Alerts Connected to Field Response
Traffic alerts and field safety coordination
SCENARIO 03

Alerts Connected to Field Response

Accidents, road debris, and adverse-weather risks can enter the command workflow, activate field equipment and officers, and return the final result to the platform.

  • Automatic detection
  • Command dispatch
  • Field protection
  • Closed-loop review
Recurring Assessment with Before-and-After Validation
Recurring traffic governance reports and joint review
SCENARIO 04

Recurring Assessment with Before-and-After Validation

Weekly, monthly, or campaign reports compare safety, efficiency, and order before and after intervention across intersections, corridors, and areas, making decisions traceable and outcomes reviewable.

  • Recurring reports
  • Before-and-after comparison
  • Issue tracking
  • Cross-department review
DELIVERY FLOW

How the Solution Lands

From scope and data interfaces to integration testing and acceptance, every project follows a traceable and maintainable delivery path.

01

Data Assessment

Review intersection records, sensors, signals, and historical incidents.

02

Model Configuration

Configure metrics, risk rules, algorithms, and access control.

03

Pilot Validation

Test diagnosis, optimization, simulation, and field results at representative sites.

04

Routine Governance

Generate recurring evaluation reports and improvement recommendations.

PROJECT REFERENCES

Project References & Solution Evidence

Based on Hanxing project materials, solution documents, and application scenarios. Sensitive customer information is intentionally omitted from the public site.

Intersection Diagnosis and Signal Optimization
Traffic Governance

Intersection Diagnosis and Signal Optimization

Safety, traffic efficiency, and data value are connected through a single workflow for diagnosis, plan generation, execution, and outcome verification.

Based on the Hanxing Traffic AI Governance solution
Intelligent Patrol and Incident Protection
Field Equipment

Intelligent Patrol and Incident Protection

Smart cones, robots, and other field devices extend coverage to sudden events and high-risk roads that fixed cameras cannot fully observe.

Based on Hanxing intelligent traffic patrol materials
Hangzhou's New Model for Digital Transport Enforcement
Public Industry Reference

Hangzhou's New Model for Digital Transport Enforcement

A public Ministry of Transport case describes automated data collection, intelligent comparison, violation alerts, and off-site evidence workflows, providing an industry reference for AI governance and coordinated online-offline operations.

Ministry of Transport public material · Not a Hanxing customer case

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