Smart Traffic Light – CTiTraffic
Our Smart Traffic Light, CTiTraffic is a leading smart city solution, integrating advanced IoT and smart city technologies to optimize traffic light junction management and automation tailor-made for smart sustainable cities. CTiTraffic solves traffic problems by enabling the traffic light junctions to see, visualize, analyze, decide, and work with one another.
This is made possible by breakthroughs in artificial intelligence, cloud technology, and machine learning.
AdvanCTi provides 3-tier automation system that suits any needs of your smart city deployment.
CTiTraffic Product
Smart City Platform
Traffic Controller
ClearSight AI Camera
CTiTraffic LITE – Tier 1
The CTiTraffic Lite – Tier 1 provides user with a cloud system that allow them to view traffic data collected by the AI CCTV camera ClearSight.
Features
On-Demand real time streaming
Monitor Traffic Light Junction with real time streaming on the CCTV Clearsight Camera.
Vehicle Counting & Classification
Our AI Clearsight CCTV camera will scan and count all vehicle that passes through a traffic light junction and classify them, enhancing smart traffic management in smart cities.
Notification for not enough Green Time
Our system will give out notifications that a congested lane needs more green time based on the “Residuals”. Residuals is the leftover vehicles that remain at a junction once the traffic light turns red.
CTiTraffic PRIMARY – Tier 2
The smart city platform, CTiTraffic Primary – Tier 2, utilizes our AdvanCTi Traffic Box to seamlessly integrate or upgrade existing traffic controllers promoting efficient smart traffic light management in Malaysia.
Features
On Demand retrieval of recorded Traffic Video
Monitor and retrieve Traffic Junction video according to your prefered date and time.
Automatic Extend Green time to clear the queue
Our Traffic Light AI-Driven System will automatically extends green light time to clear the queue when it detect a high residual at a congested lane.
Red Light Violation & Incident Detection
Red light violation occurs when a vehicle enters an intersection during the red clearance time. Our clearsight cctv camera is able to detect the red light violation as well as an incident happen on the road.
CTiTraffic DELUXE – Tier 3
CTiTraffic Deluxe links traffic junctions in your city to produce greenwave and adaptively provides the required green time to ease the traffic.
Features
SASCOO adaptive greenwave
SASCOO (Step Adaptive Split Cycle Offset Optimizer) is an AI system that enables the traffic junctions to continuously distribute green light time equitably for all traffic movement.
Origin-Destination Matrix
Origin-Destination Matrix provides the amount of vehicles traveling from specific origin to destination in the traffic network.
Journey time measurement
Journey time measurement provides individual vehicle journey time traveling across the traffic intersection.
Comparison Between SASCOO, SCOOT, and SCATS
| FEATURE | SASCOO | SCOOT | SCATS |
|---|---|---|---|
| Developer | LED Vision | Transport Research Laboratory, UK | Roads and Maritime Services NSW (Australia) |
| Adaptive Control | ✔ | ✔ | ✔ |
| Optimizes Split | ✔ | ✔ | ✔ |
| Optimizes Cycle | ✔ | ✔ | ✔ |
| Optimizes Offset | ✔ | ✔ | ✔ |
| Cameras for Detection | ✔ | X | Partial |
| Sensors Used | ✔ | ✔ | ✔ |
| Central Processing | Cloud-based | Central computer | Decentralized |
| Green Wave Coordination | ✔ | ✔ | ✔ |
| Machine Learning | ✔ | X | X |
| Vehicle Tracking | ✔ | X | X |
| Journey Time Data | ✔ | X | X |
| Origin-Destination Data | ✔ | X | X |
| Open Standard | X | ✔ | X |
*SCATS – Sydney Coordinated Adaptive Traffic System
*SCOOT – Split Cycle Offset Optimization Technique
In summary, all three systems provide adaptive signal control optimization using different architectures. SASCOO uses more advanced computer vision and machine learning techniques compared to SCOOT and SCATS. It also collects more data like vehicle tracking and origin-destination matrices. SCOOT uses centralized processing while SCATS is more decentralized. SASCOO was developed by LED Vision while SCOOT and SCATS are owned by research labs/government.
CTiTraffic’s Project Reference
Majlis Bandaraya Ipoh
Under the smart city project of the Ipoh Smart City Action Plan, the Ipoh City Council (MBI) introduces AI-powered traffic lights to significantly reduce traffic congestion, marking a step towards smart and sustainable cities.
The four locations where our system is installed are the intersection of Jalan Sultan Idris Shah and Jalan Laksamana; the intersection of Jalan Sultan Idris Shah and Jalan Datuk Onn Jaafar; the intersection of Jalan Sultan Idris Shah and Jalan Raja Musa Aziz; and the intersection of Jalan Sultan Idris Shah and Jalan Raja Ekram.
Datuk Bandar Ipoh, Datuk Rumaizi Baharin said, this system will help smooth the flow of traffic by up to 51 percent, especially during peak hours, thus saving time and cost for road users.
Discover how our smart city IoT solutions can transform your community into a smart city.