The holographic intersection adaptive t raffic signa l control system utilizes multi-directional video and radar fusion technology, employing artificial intelligence (AI) analysis techniques for precise perception of traffic information, including motorized and non-motorized vehicle demand as well as pedestrian traffic needs. Based on different traffic requirements, it calculates green light times in real-time, achieving adaptive traffic control at intersections and effectively addressing traffic congestion issues.
Key features of the system:
• AI video analysis algorithms for accurate recognition of people, vehicles, and objects.
• Radar and vision fusion technology, ensuring seamless operation in all weather conditions.
• Automatic analysis and alerting for traffic events.
• Adaptive control of traffic signal lights.
• Full range of products developed in-house.
• Please contact us to discuss solutions further. |
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The Cloud Traffic Management and Control Platform is driven by technologies such as big data and cloud computing, integrating intelligence analysis, command and dispatch, investigation and control, traffic information dissemination, intelligent la w enforcement analysis, duty supervision, signal control optimization, special security, and other functions. It achieves the integration and sharing of traffic information resources, rapid intelligence analysis and decision-making, and flat command and dispatch. This platform realizes visual traffic command, digital management, and information sharing, ultimately enhancing the capabilities and service levels of road traffic management.
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Based on AI video recognition technology, it detects real-time pedestrian conditions in waiting areas and pedestrian crosswalk areas, including the number of pedestrians in waiting areas, overall waiting time, pedestrian walking speed at crosswalks, and dwell time. Combining the traffic flow demand of motor vehicles on the road and the coordination control demand upstream and downstream, it achieves non-contact automatic optimization control of pedestrian traffic signals.
• AI video automatically detects pedestrian numbers and crossing demands.
• Non-contact video actively detects without requiring pedestrian interaction.
• Request cancellation detection, automatically canceling requests when pedestrians leave.
• Provides pedestrian adaptive algorithms. |
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Based on AI algorithms trained on real traffic data, it can provide reliable real-time information on vehicle presence, traffic flow, occupancy, road user/traffic event recognition, and traffic data collection for efficient city traffic control optimization. It accurately identifies 80 types of targets, including cars, buses, bicycles, pedestrians, and more. Using AI-based video recognition technology, it detects various violations and dangerous events on the road in real time, including illegal U-turns, unauthorized parking, wrong-way driving, traffic congestion, fog, and fire alerts, among others.
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