Real-time traffic signal control solution
The real-time traffic control system is researched, designed and manufactured by CadPro Company based on the new generation Smart City Monitoring System platform, using data collected in real time to automatically adjust traffic signals to optimize traffic flow, reduce congestion and improve the environment.
- AI technology controls smart signals according to traffic volume
A new algorithm combines embedded computing technology, industrial computers at the node with the ability to work 24/7 with high reliability, measuring traffic volume in each direction/traffic flow, adjusting the most complex intersections in real time.
In Hanoi: Tran Phu- Dien Bien Phu (4 integrated phases), Nguyen Thai Hoc-Ton Duc Thang, Nguyen Thai Hoc-Le Duan, Cua Nam- Dien Bien Phu, Lo Duc - Nguyen Cong Tru, Nguyen Thai Hoc - Ton Duc Thang - Chu Van An, Giai Phong - Phap Van - Hoang Liet...
In Da Nang: Nui Thanh - Phan Dang Luu, Le Duan - Hoang Hoa Tham, Ham Nghi - Nguyen Van Linh, …
Smart city monitoring equipment manufactured by CadPro
Centralized control software for THGT headlight control
Dien Bien Phu - Tran Phu intersection is currently applying AI technology to control smart signals according to traffic volume
After a pilot period at the Nui Thanh - Phan Dang Luu intersection since February 2020, the traffic light operating cycle has been reduced from 85 seconds to 46 seconds, the waiting time for the red light in each direction has been reduced from 15-20, equivalent to a 50% reduction in the waiting time for traffic lights for traffic participants. During rush hour, the signal control strategy will automatically adjust according to the average traffic flow in real-time. In addition, statistics from the environmental monitoring system show that the number of emissions into the environment due to vehicles stopping and waiting for the THGT light has also decreased by more than 50%.
Developing smart traffic monitoring systems that have been widely deployed in Da Nang and Hanoi, CadPro Company has researched and integrated powerful graphics processing computers with smart traffic cameras to create a multi-utility smart city monitoring device with the following functions:
ü Observe and collect traffic information, urban security and order;
ü Sensors collect environmental data on air quality: temperature, humidity, pressure, dust, measure flood water levels to provide data for the future urban flood forecasting system...
ü Use artificial intelligence (AI) technology to analyze data on the scene, control traffic signals in real time, ensure reliability regardless of the connection line to the control center;
ü Ability to combine in the system to detect, record, handle traffic violations, recognize license plates to ensure urban traffic safety;
ü Identify people, motorbikes, small cars, large cars, buses;
ü Measure traffic flow in all directions according to vehicle classification;
ü Automatically control traffic lights according to real-time traffic flow, minimizing waiting time for traffic lights for traffic participants at all times of the day;
ü Communicate information to people and the control center online.
The new device is a product designed on the basis of Internet of Things technology, automatically collecting data, processing information without using the Center's computing resources, providing shared data upon request from users (Traffic Control Monitoring Center, City Traffic Police Department, Department of Natural Resources and Environment...). The device is a replacement for previous violation handling cameras and data processing center investments with a series of outstanding features.
System components:
ü Smart city monitoring device (monitoring two traffic flows through the intersection);
ü Smart traffic signal controller (placed in the existing traffic signal control cabinet);
ü Urban air environment monitoring sensor (including measuring parameters: temperature, humidity, PM10 dust, PM2.5 fine dust, CO, CO2, GAS, AQI index according to standards).
Benefits of the solution:
ü Traffic signal control strategy for most of the day reduces the current light cycle by 25% to 50% during normal hours. During low traffic periods, the minimum light phase will automatically return to the national standard of 15 seconds of green light, and nearly 20 seconds of red light.
ü During peak hours, the signal control strategy will automatically adjust according to the average traffic volume of real-time traffic directions. During the traffic light phase, the direction with high traffic volume will automatically have its green light time extended optimally.
ü City traffic will be more convenient, traffic participants' time will be reduced, leading to great socio-economic efficiency for the city, improving people's health, reducing emissions to the environment due to vehicles stopping and waiting for traffic lights.
ü Real-time traffic information such as violations, congestion, images, temperature, air quality are displayed in real time on the GIS digital map software currently in use. Create a network to collect data on rain, floods, urban air environment changes, build a Big Data Base to forecast traffic fluctuations, urban floods, adapt to climate change, build smart cities, help authorities to optimally orient, plan, divide traffic flows and reduce traffic load.
- Connecting road traffic signals with railways to ensure traffic safety
In Hanoi, there are dozens of road routes connecting at the same level with railways; in which, at the level crossings where traffic is organized by traffic lights, the road traffic light signal system and the railway signal system at the level crossing operate independently (not connected), thus posing a potential risk of traffic insecurity and local traffic congestion every time a train passes, especially during rush hour.
CPR_STS - Smart Traffic Signaling Solution: Controlling traffic signals connecting railway signals
Traffic chaos occurred at the Phap Van – Hoang Liet – Giai Phong intersection after the train passed, the intersection is at the same level as the railway
The CPR_STS - Smart Traffic Signalling solution helps connect road signals with railway crossings and automatically controls signals to relieve local congestion after the train passes the crossing
Cameras with traffic light monitoring equipment and continuous automatic traffic measurement.
The solution uses an artificial intelligence complex (smart traffic monitoring equipment) including an image sensor integrated with LIDAR to count vehicles and a computer on site with embedded software to analyze traffic flow in all directions, optimizing strategies/lengths of light phases according to the status of the train arriving (closing the barrier)/when the train passes (opening the barrier), according to real-time traffic flow, normal (when the crossing is not closed) and abnormal (during the time the train arrives (closing the barrier) and the time the train passes the crossing).
System components:
ü Traffic measurement equipment from all directions to determine the length of the green phase for each direction when the train arrives/passes, optimally clearing the queue of vehicles stopped when the train passes the crossing.
ü The device stores and processes vehicle counting data in all directions synchronously to calculate the optimal signal strategy during train arrival (blocking) as well as in normal node operation state. The traffic measurement data from the newly installed device is combined with image processing from existing cameras to calculate and build an optimal signal strategy in real time.
ü Replace the existing countdown light system (operating principle: record the power supply time of the previous cycle as the basis for operation; when changing the countdown light cycle, it often fails for 1-2 cycles before the light operates stably) with a countdown light system that can display the control status in real time, without errors when changing the cycle (Countdown light synchronized with real time).
ü Upgrade the THGT Control Cabinet connecting road - railway signals, update the control software to suit the new control plan.
Level crossing on Giai Phong - Hoang Liet road, organizing 3-phase signals at the intersection
Benefits of the solution:
ü Optimally adjust the road traffic signal control strategy to ensure maximum road traffic during the train's arrival and after the train passes in one or more road directions near the intersection.
ü Ensure highly reliable, independent intelligent traffic control right at the scene and ready to share and connect signals to the Traffic Control Center - Hanoi City Police.
üAutomatically analyze traffic flow, adjust the length of signal phases according to the flow of each independent vehicle line in real time.
For more detailed information about the solution, please contact us for the best advice!
Software - Automation - Control Joint Stock Company (CadPro)
Address: No. 11 Chau Long - Ba Dinh – Hanoi
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Website: http://cadpro.vn/