Adaptive Traffic Control System (ATCS)
The Adaptive Traffic Control System adapts to real-time traffic patterns by dynamically adjusting green light durations to optimize traffic flow. ATCS algorithms continuously modify traffic signal timings based on the traffic demand at intersections and the predicted arrivals at adjacent intersections. By progressively allowing vehicles to pass through green lights, it significantly reduces travel times and alleviates congestion by creating smoother traffic conditions.
Advantage 1
Reduces travel time by 20%.
Advantage 2
Reduces waiting time by 40%.
Advantage 3
Decreases the number of bus stops by 30%.
Advantage 4
Enhances environmental protection by 20%.
Traffic Pain Points
Lane Discipline Issues
Drivers not adhering to traffic rules, such as abrupt lane changes or misuse of lanes, increase traffic congestion and accident risks.
Variety of Vehicle Types
Roads accommodate various vehicle types simultaneously (e.g., cars, motorcycles, bicycles, and tricycles). Differences in speed and behavior among these vehicles often disrupt traffic flow and cause instability.
Traffic Complexity
Roads are not only populated with diverse vehicle types but also pedestrians and non-motorized vehicles. This creates organizational challenges, leading to traffic congestion and increased risks of accidents or conflicts.
Intersection Design Flaws
Intersections with inadequate designs fail to meet traffic flow or safety requirements. Poorly designed signs, blocked views, or overly complex intersections contribute to traffic accidents or congestion.
Unlike existing models, SUNIWAY Adaptive Traffic Control System (ATCS) considers developing countries’ traffic scenarios, vehicular movements and responds in real time. It uses downstream detection and provides user friendly interface to support day-to-day operation. Traffic data from junctions is consolidated in a central traffic system and Adaptive Traffic Control System (ATCS) algorithm determines optimized red-green phases of traffic signals in order to achieve junctions green-green synchronization across entire region of deployment. ATCS dynamically adapts to changing traffic conditions in real time. ATCS uses machine learning algorithms to analyse real-time traffic data from vehicle detectors to determine signal timings that are optimal for existing traffic conditions. The duration of traffic signal’s red-green phases and green waves is automatically changed every cycle by examining the traffic conditions at intersections along the corridors or entire region of deployment.

ATCS Elements
LED Signal Lamps
LED Signal lamp which complies the Europian Standards EN12368 and IP65 grade with 5 years performance warranty
Adaptive Algorithm
ATCS algorithm determines optimized red-green phases of traffic signals in order to achieve junctions green-green synchronization.
API Services
High quality data sets, which is available to operators and city managers for their strategic planning
ATCS Master Controller
Act as a junction signal controller by adjusting the signal timing patterns as per edge application ML algorithms inputs
Vehicle Detectors
Using deep learning-based vehicle detectors, Captures vehicle density, vehicle classification, speed and queue length with 90% accuracy.
Countdown Timers
Wireless slaves to communicate with master controller which complies the Europian Standards EN12966 and IP65 grade with 5 years performance warranty
ATCS Edge Application
Communicate & Analyze detector data with ML algorithms and update, send signal planning to controller as per demand.
Real Time Reports
Live and Historical reports enables quick decesion making. The clear graphics allow rapid and intuitive interpretation of the real-time status of the network


86 Del Rosario Pasay City, Manila, Metro Manila
（02）7004-0576
（02）8808-7046
angela@suniway.net
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