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59 results about "Traffic flow management" patented technology

Traffic Flow Management System (TFMS) TFMS (previously ETMS) is a data exchange system for supporting the management and monitoring of national air traffic flow. TFMS processes all available data sources such as flight plan messages, flight plan amendment messages, and departure and arrival messages.

Microwave and video data fusion-based traffic detection method and device

The invention discloses a microwave and video data fusion-based traffic detection device. The microwave and video data fusion-based traffic detection device comprises a video sensor, a microwave sensor, an A / D conversion module, a processor module, a network communication module, a traffic flow parameter data fusion module, a traffic flow management platform, a target tracking module and a traffic event and information management platform. The invention also discloses a microwave and video data fusion-based traffic detection method. According to the method, the device is adopted to realize information complementation and data fusion. With the device of the invention adopted, the reliability of a system can be improved, the accurate estimation of the position of a target can be provided, more accurate data can be obtained, and powerful parameters can be provided for relevant departments. According to the microwave and video data fusion-based traffic detection method, after the microwave sensor detects some traffic behaviors which are inputted into a database, the video sensor is controlled to take pictures, and then, whether obtained data are matched with the data of the database is analyzed, an alarm is given, and therefore, false alarm rate can be reduced, human and material resources can be reduced, and intelligent detection can be realized actually.
Owner:NANJING HURYS INTELLIGENT TECH CO LTD

Expressway congestion state judgment and traffic flow management and control system and method

InactiveCN112785849AAnticipate traffic jamsAccurate traffic jam statusDetection of traffic movementTraffic flow managementControl system
The invention discloses an expressway congestion state judgment and traffic flow management and control system and method, and belongs to the field of intelligent traffic management and control. The system comprises a data acquisition module, a data processing module, a back-end service module and a front-end display module. According to the invention, the road congestion state is divided into three types, i.e., no congestion, no serious congestion and more serious congestion, and the traffic congestion index is calculated in combination with the traffic parameters, such as speed, occupancy and traffic flow, acquired by a system detector; the calculated data are compared with a specific threshold value to obtain an initial pre-judgment result; in order to reduce the misjudgment rate and realize accurate judgment, the system maintains the continuity of detection and carries out pre-judgment for multiple times, and finally completes one-time traffic congestion state evaluation; and finally, vehicle management and control are carried out on an entrance ramp by adopting a hierarchical flow control method so as to relieve the traffic pressure of an expressway main line. According to the method, the traffic congestion state of the expressway can be accurately pre-judged, so that hierarchical flow control is better realized.
Owner:SHANDONG UNIV OF SCI & TECH

CAV lane changing decision-making method for off-ramp diversion area of expressway based on automatic driving special lane deployment scene

ActiveCN113345268AReduce the chance of changing lanesAnti-collision systemsTransmissionTraffic flow managementDecision model
The invention discloses a CAV lane change decision-making method for an off-ramp diversion area of an expressway based on an automatic driving special lane deployment scene. The method comprises the following steps: a forced lane change scene is constructed; the existence probability of the four types of vehicles when the mixed traffic flow is in a balanced state is calculated, the traffic volume of the automatic driving special lane and the traffic volume of the universal lane are calculated based on a lane management strategy, and mixed traffic flow operation conditions are constructed; and the CAV selects to change the lane when the cost function value J of the CAV lane change model is minimum. According to the CAV lane change decision-making method, the influence of CAV driving away from the CAV-L on the traffic state is analyzed, the CAV lane-changing intention generation point position and the lane-changing decision-making model are established, and the research result provides important technical guidance for future expressway mixed traffic flow management, and a theoretical basis is provided for deployment and landing of the automatic driving special lane of the expressway.
Owner:CHANGSHA UNIVERSITY OF SCIENCE AND TECHNOLOGY
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