8 results about "Road traffic management" patented technology

The invention discloses a BIM-based highway construction period traffic guide and change optimization system, and relates to the technical field of road traffic management. According to the BIM-based highway construction period traffic guide and change optimization system, traffic management in the construction period is dynamically adjusted in real time through space-time modeling, data fusion and optimization decision. The system generates a road network space-time model, matches vehicle trajectory data with lane space data, counts the number and speed of vehicles, and optimizes traffic flow. According to the optimization result, the system outputs the tailgating length, the number of lanes and the speed limit value and generates a corresponding control instruction and a speed limit issuing instruction, traffic management of the highway construction period is accurately optimized through space-time modeling and real-time data fusion based on BIM, the system can obtain vehicle track data in real time, the lanes and the speed limit strategy can be dynamically adjusted, and the speed limit efficiency is improved. Traffic delay in the construction period is minimized, and traffic safety and smoothness of a construction section are effectively guaranteed by generating an accurate lane control and speed limiting instruction.

The invention belongs to the technical field of road traffic management, and discloses a highway network vehicle running track operation method and system and a computer storage medium, and the method comprises the steps: collecting the running track data of a target vehicle based on satellite positioning; generating space vector information based on the moving trajectory data; on the basis of traffic characteristics of a road, encoding the moving trajectory data by using the spatial vector information to obtain a trajectory point vector code with a direction and a trajectory basic line segment code; according to the track point vector code and the track basic line segment code, executing preset road space vector operation to obtain an operation result; and constructing a road topological space according to the operation result so as to judge a road space relationship by utilizing the road topological space. According to the method, road space point locations, space relation judgment between road sections, road alignment study and judgment and the like can be realized based on operation, and the geographic position and the space relation of the road can be reflected more accurately.

This invention relates to the field of road traffic management technology, specifically disclosing an energy-recovery road lifting robot and its usage method. The robot includes a top plate, a bottom plate, a first inclined plate, and a second inclined plate. The top plate is positioned directly above the bottom plate, and the first and second inclined plates are located on either side of the top plate. A lifting mechanism is installed on the top of the bottom plate. A buffer support mechanism and a sliding mechanism are provided between the first and second inclined plates and the bottom plate. Power generation components are installed at the bottom of both the first and second inclined plates. Multiple ranging components are installed on the top of the bottom plate. Side holes are formed inside both the first and second inclined plates, and cleaning mechanisms are installed inside these side holes. In this invention, the ranging components, in conjunction with the lifting mechanism, can push the top plate upwards to a specified height, adapting to the height of different vehicle chassis. Simultaneously, as a vehicle runs over the robot, the power generation components generate electricity, achieving efficient recovery of the pressure potential energy from passing vehicles and reducing reliance on external power supply.

The utility model discloses a warning sign for road traffic management relates to traffic management technical field, including base, the top rotation of base is connected with support frame, and the top fixed connection of support frame has traffic warning sign body, and traffic warning sign body includes first sign body, second sign body, third sign body, and the inside of first sign body is established with first male slide groove, and the inside slide coupling of first male slide groove has first male sliding block, and first male sliding block is fixedly connected with second sign body, and the inside of second sign body is established with second male slide groove. The utility model has the beneficial effect that: the warning sign for road traffic management, through annular warning sign, is convenient for warning to multiple directions simultaneously, does not need to increase the number of warning sign extra, thereby saves the cost, and multiple sign body is the sliding type structure, and is fixed through magnetic metal strip and magnet layer, makes the warning sign collapsible or unfolding, is favorable for reducing the occupation to space when not using.

The invention relates to the field of road traffic management, in particular to a road weighing platform vehicle license plate shielding behavior dynamic tracking and evidence obtaining method. According to the method, multi-modal sensors such as a millimeter wave radar, a high-definition camera, a thermal imaging device and a laser radar are deployed, a hierarchical data processing system is constructed, vehicle driving data are collected in real time, and multi-dimensional verification analysis is carried out. When the system detects that a vehicle enters a weighing area, lightweight video preliminary screening is triggered, dual verification is carried out in combination with laser radar point cloud density analysis and thermal imaging temperature difference detection, and finally the shielding behavior is judged through a fusion judgment mechanism. The problems that a single sensor is high in misjudgment rate, low in recognition rate in a severe environment, incapable of forming a complete evidence chain and the like are solved, all-weather high-precision detection is achieved, and the law enforcement efficiency and the intelligent level are greatly improved.

The present application relates to the field of vehicle monitoring, in particular to a vehicle driving data analysis system and method based on big data, comprising: a radar acquisition module, a signal identification module, a vehicle positioning module, a motion speed measurement module and a trajectory snapshot module, the radar acquisition module is used for building a radar acquisition platform and storing double-channel spectrum, the signal identification module is used for determining a vehicle target area, the vehicle positioning module is used for constructing a vehicle contour model, the motion speed measurement module is used for measuring the speed of a target vehicle, and the trajectory snapshot module is used for outputting a safe speed limit and snapshotting an overspeed target, the present application can improve the accuracy of vehicle detection and snapshotting, improve the accuracy and reliability of target identification, filter out radar noise, improve the signal-to-noise ratio, realize long-distance vehicle sensing, road trajectory modeling and road detection, avoid vehicle overspeed, assist in optimizing the driving path of the vehicle and improve the road traffic management capability.

The invention discloses a road vehicle overrun dynamic monitoring management method and system, and relates to the technical field of vehicle monitoring. The method comprises the following steps: firstly, on the basis of collected road vehicle data, synthesizing vehicle passing frequency of each specified road section area to obtain a whole road network flow thermodynamic diagram, and performing road traffic management; then, in the road traffic management process, according to the vehicle weighing data corresponding to the dispatching dynamic weighing section, in combination with the vehicle image identification data in the preset monitoring time period, carrying out overrun state monitoring, and finally, based on the overrun state monitoring result, in combination with the vehicle image monitored by the road network, carrying out road traffic management. Track monitoring is performed on the driving track of the specified vehicle, load and risk road sections are determined through traffic management, dynamic resource scheduling is realized, and meanwhile, the accuracy and reliability of overrun state monitoring are improved by combining cross validation of dynamic weighing data and vehicle identification data. The problem that the accuracy of vehicle feature recognition monitoring management is low is effectively solved.

This invention discloses an AI-powered BeiDou vehicle-road-cloud system and method for source control of vehicle violations, relating to the fields of traffic safety and vehicle-road-cloud integration technology. Currently, most traffic violations are handled post-incidentally, resulting in shortcomings such as insufficient source control (e.g., drunk driving, unlicensed driving, fatigued driving, inadequate screening of hazardous and prohibited items), data gaps across departments, and delayed early warnings. The nation's vigorous promotion of the strategies of a safe China, a strong transportation nation, national security governance, and vehicle-road-cloud integration urgently requires proactive and preemptive safety control technologies. This invention relies on AI large-scale models and BeiDou high-precision positioning, with hardware integrated and deployed in key areas of the vehicle. It enables driver facial recognition verification, identity verification, intelligent alcohol control, fatigue driving intervention, in-vehicle status perception, detection of drugs, dangerous goods, and explosives, multilingual sensitive word monitoring, biometric comparison of rear-seat occupants, and multi-dimensional risk assessment. Combined with vehicle-road-cloud collaborative interaction and black box full-process evidence storage, it connects with the public security system, enabling silent and unobtrusive reporting of abnormal risks and tiered, humane handling. It blocks traffic violations and public safety hazards at the source, deeply aligning with national security governance strategic needs, balancing road traffic management and national security prevention and control requirements, and is suitable for large-scale deployment and application of various commercial and social vehicles.