Smart Intersection System

Analyzes traffic volumes and queue lengths by direction at intersections to adjust cycle lengths.

Coordinated control along corridors reduces travel time.

Solution

A traffic information collection and analysis system based on real-time traffic volumes

Analyzes video from single-direction and multi-direction cameras installed at intersections in real time using deep learning-based video analytics algorithms. This produces smart traffic information for the intersection and generates traffic big data.

Collects traffic volumes and queue lengths by vehicle type and direction in real time through video detection
Uses the collected traffic big data for signal optimization and solving traffic problems

STEP 01
Traffic data collection and forecasting
Generates traffic demand and vehicle video data using smart intersection data
STEP 02
Full traffic volume estimation
Applies a full-count estimation algorithm based on traffic information and collected data, and produces output data
STEP 03
Signal optimization
Improves coordinated travel speeds through TOD optimization at each signalized intersection
STEP 04
Solving traffic problems
Improves road level of service (LOS) through TOD optimization and resolves traffic problems

Strengths

Highlights

01
Real-time camera video and analytics charts
- Real-time, web-based camera monitoring lets users check intersection traffic conditions instantly (HLS, WebRTC)
- Analyzes and processes collected traffic volume data and presents it in a variety of charts and statistics
Real-time video and analytics chart screen
02
Better traffic flow through signal optimization
- Optimizes signals by applying analyzed traffic volume and queue length data to the signal TOD plans of the Traffic Signal Control System
- In-house algorithms adjust each signal phase to improve traffic flow
TOD and traffic volume-based optimization algorithm