39 results about "Pedestrian transport" patented technology

The present invention involves a system for automatically screening closed circuit television (CCTV) cameras for large and small scale security systems, as used for example in parking garages. The system includes six primary software elements, each of which performs a unique function within the operation of the security system to provide intelligent camera selection for operators, resulting in a marked decrease of operator fatigue in a CCTV system. Real-time image analysis of video data is performed wherein a single pass of a video frame produces a terrain map which contains parameters indicating the content of the video. Based on the parameters of the terrain map, the system is able to make decisions about which camera an operator should view based on the presence and activity of vehicles and pedestrians, furthermore, discriminating vehicle traffic from pedestrian traffic. The system is compatible with existing CCTV (closed circuit television) systems and is comprised of modular elements to facilitate integration and upgrades.

The invention discloses a road section pedestrian traffic signal control system based on pedestrian crossing clearance time. The road section pedestrian traffic signal control system based on the pedestrian crossing clearance time comprises a pedestrian data acquisition and recording unit, a pedestrian crossing clearance time computing unit and a signal implementation and feedback unit, and is applicable to pedestrian signal timing designs of thick crowd crossing districts and intersections with exclusive pedestrian phases. The road section pedestrian traffic signal control system based on the pedestrian crossing clearance time comprehensively takes time loss and pedestrian crossing traffic capacity decline due to mutual disturbance of stream of people of opposite directions during thick crowd crossing into consideration, overcomes the defects that the pedestrian speed is used as a constant and the pedestrian crossing capacity is unchanged in a traditional pedestrian traffic signal control, so that the timing result is more accurate and practical. Only the pedestrian flow and the pedestrian speed of the pedestrian crossing are needed to be measured and computed, so that the computation is concise.

The invention discloses a system and a method for performing beyond-visual-range perception on road conditions by an intelligent vehicle; the system comprises the intelligent vehicle and an unmanned aerial vehicle, after the vehicle-mounted unmanned aerial vehicle takes off, the time of the vehicle-mounted unmanned aerial vehicle is synchronized with the time of the intelligent vehicle, and the vehicle-mounted unmanned aerial vehicle starts a following shooting mode, corrects the position in real time, follows the vehicle to move and is kept right above the vehicle; based on the images sent back by the vehicle-mounted unmanned aerial vehicle in real time, an intelligent terminal of the intelligent vehicle operates a target detection algorithm to detect and classify targets, and the targetscomprise lane lines, vehicles, pedestrians, traffic signboards, delimited identification frames and identification IDs; information obtained by a vehicle-mounted visual sensor is supplemented by utilizing an unmanned aerial vehicle image recognition result, specifically, a re-recognition algorithm is carried out on a target detected by an unmanned aerial vehicle image and pedestrian and vehicle images detected by the vehicle-mounted visual sensor, and for shielded traffic lane lines and signboards, the information obtained through identification is directly provided for the intelligent vehicle.

The invention discloses an AR navigation system based on an automobile data recorder. The system comprises the automobile data recorder, a domain controller DMC, a vehicle-mounted navigation system and a display module, the automobile data recorder transmits acquired image data in front of a vehicle to the domain controller DMC, and the domain controller DMC identifies lane lines, vehicles ahead,pedestrians and traffic signs in the image data and fills the identified lane lines with guiding information according to the guiding information of the vehicle-mounted navigation system; and the output end of the domain controller DMC is connected with the display module in order to make the image, filled with the guide information, output to the display module and displayed. The automobile datarecorder is adopted to realize acquisition of image data, the realization cost is low, and the increase of AR navigation cost is reduced; and navigation guidance information is added to a video basedon the AR technology and displayed on a display screen of a central controller, an instrument and the like in an image form, so that AR navigation is realized, navigation experience is improved, and navigation is clear and definite.

A system and method are provided for location-targeting the provision of media distributed by a mobile platform. The method provides a mobile platform with an attached media projection subsystem, and an identifier associated with the media projection subsystem. The media projection subsystem is selectively enabled, the geographic location of the mobile platform is determined, and the identifier and the enablement of the media projection system are verified. Verification information, including the mobile platform (media projection subsystem) location, identifier, and enablement of the media projection subsystem is communicated to a server and stored in a non-transitory memory. A targeting application may direct the system to a target location in cooperation with analyzing the verification information, weighted for factors such as proximate vehicular traffic, line of sight, proximate pedestrian traffic, proximity to cultural events, proximity to cultural facilities, the time of day, and the length of time the media is being projected.

The invention discloses an automatic driving automobile simulation system, which comprises the following steps: environment simulation: providing a traffic environment by using Carla software, and simulating a surrounding environment possibly occurring in automobile driving; vehicle simulation: using Carsim software to provide a vehicle capable of being controlled by an automatic driving algorithm; vehicle control: an automatic driving algorithm obtains information around the vehicle from the Carla software through a sensor, and after the automatic driving algorithm obtains the information, a calculated decision is issued to the Carsim software; and information feedback: the Carsim software obtains the state information of the vehicle and transmits the state information to the automatic driving algorithm, and the automatic driving algorithm feeds the information back to the Carla software. Traffic environments, including roads, vehicles, pedestrians, traffic signs, various times, weather and the like, which are close to reality can be simulated in computer software, a simulation environment is provided for development of an automatic driving algorithm, the algorithm verification time is shortened, and meanwhile, the cost is greatly saved.

The invention discloses a variable pedestrian traffic guiding device for traffic control, relates to the technical field of traffic guiding, and solves the problems that an existing pedestrian guiding device is small in observation angle, difficult to observe by pedestrians and poor in guiding effect, and an indication sign can only display and remind one kind of indication information and cannot well guide various kinds of information. Comprising a mounting base; the angle adjusting mechanism is arranged in the mounting base, and an angle adjusting driving motor drives an angle adjusting swing frame to swing through the angle adjusting mechanism; and the display parts are uniformly arranged and rotationally connected in the angle adjusting swing frame. According to the invention, the observation angle is large, people can conveniently observe the guiding indication pattern, the guiding effect is improved, various indication confidence can be displayed in turn, the guiding effect is improved, the dynamic effect is achieved, the attention of pedestrians can be better attracted, and the good reminding effect is achieved.

The invention discloses a networked vehicle brake auxiliary system and method, and relates to the technical field of vehicle safety. The problems that a traditional vehicle braking auxiliary system cannot conduct steering control over a vehicle, under the high-speed condition, a driver controls a steering wheel to rotate suddenly, safety accidents are likely to happen, the vehicle rolls over and slips, and the accident rate and the accident death rate are increased are solved. According to the networking vehicle braking auxiliary system and method, the automatic braking module automatically controls emergency braking of the vehicle, the high beam and the low beam are automatically switched and adjusted according to the driving environment, the lighting quality is improved to the maximum degree at a curve where an accident is likely to happen, roads, vehicles, pedestrians, traffic signs and traffic signals are detected and recognized, and the traffic safety is improved. And the track layer comprises global path planning, local path planning and vehicle longitudinal control, and the track layer plans an obstacle avoidance path, so that the driving safety is improved, and the accident occurrence probability is reduced.

The invention relates to an immersive pedestrian traffic behavior experiment platform and method based on a virtual reality technology. The platform is composed of a scene construction module, head-mounted VR glasses, a universal walking pad, a 3D camera device, an action recognition module, a control module, a data collection and export module and a physiological data sensor. The invention also provides a pedestrian traffic behavior experiment method based on the virtual reality technology, and the method comprises the steps: 1, experiment scene construction: selecting a reconstruction mode based on a real scene or directly employing a simulation software compiling mode for the construction of the experiment scene according to the experiment requirements; 2, parameter setting: according to experiment requirements, event insertion and related parameter setting are carried out on an experiment scene; 3, equipment connection and test: operating control software to complete port test andconnection test, and establishing connection for control programs of different equipment; 4, formal experiment and data acquisition. Compared with the prior art, the platform and the method have the advantages of fitting the actual situation, being high in experiment environment authenticity and the like.

The invention relates to the field of big data, and discloses a traffic accident influence factor prediction method, device and equipment and a storage medium. The method comprises the following steps: extracting a plurality of first influence factors from a plurality of pieces of historical traffic accident data by adopting a preset text information extraction algorithm; respectively inputting the first influence factor into a preset first pre-training model and a preset second pre-training model for training so as to predict the influence degree of the first influence factor on the traffic accident and obtain a corresponding first prediction result and a corresponding second prediction result; calculating a likelihood ratio of the first prediction result to the second prediction result to adjust random parameters in the second pre-training model to obtain a prediction model; and obtaining second influence factors of the current traffic accident, and predicting the influence of each second influence factor on the current traffic accident by adopting the prediction model so as to determine the influence factor of the current traffic accident. The invention also relates to a blockchain technology, and the traffic accident data is stored in the blockchain. According to the invention, the heterogeneity of pedestrian traffic safety factor analysis is improved.

The invention discloses a pedestrian traffic signal lamp box control system based on radio frequency transmission. The pedestrian traffic signal lamp box control system comprises a server which is used for receiving transmission signals and feeding back and adjusting the signals; and a signal lamp box which comprises a signal receiving circuit, a radio frequency receiving circuit, a signal analysis circuit, a control circuit, a data transmit-receive circuit and a display circuit, wherein the control circuit comprises a statistics circuit and a processing circuit. The signal receiving circuit is used for receiving traffic signals transmitted by the server. The radio frequency receiving circuit is used for receiving radio frequency signals transmitted by a user terminal. The signal analysis circuit is used for analyzing the radio frequency signals so as to acquire digital signals. The statistics circuit is used for processing the acquired digital signals so as to acquire the occurrence frequency of the digital signals. The processing circuit is used for outputting driving signals and control signals. The data transmit-receive circuit is used for uploading the occurrence frequency to the server. The display circuit is used for displaying the traffic signals. The pedestrian traffic signal lamp box control system is based on a radio frequency technology so that time duration of traffic signal lamps can be adjusted and the traffic lamps can be effectively controlled.

The invention provides a pedestrian direction sign design method based on a visual perception analogue simulation technology, which is characterized by comprising the following steps: S1, data acquisition: performing personnel investigation and network voting by an operator according to an actual situation, constructing a three-dimensional virtual reality scene, and simulating an experiment and obtaining data in a form of pedestrian perception factors and personnel network opinions; s2, modeling design: static and dynamic description of a pedestrian walking environment is carried out through a data acquisition structure, a hub pedestrian traffic sign perception behavior is constructed as a simulation model, and after the model is constructed, a network is published for personnel just to watch, suggestions are provided, and modification is carried out. According to the pedestrian direction sign design method based on the visual perception analogue simulation technology, the situation that when data are collected, the number of operators participating in operation is large and the working time is long due to on-site questionnaire survey operation of the operators, so that the working efficiency of questionnaire survey is low is avoided.

The invention belongs to the technical field of urban rail transit intelligent management, and discloses a method for discriminating pedestrian traffic behaviors in a subway station based on video data. The method comprises the following steps: tracking the position of each pedestrian in video data in real time; and according to the distance and passage space between pedestrians or between the pedestrians and obstacles, determining single behaviors, interactive behaviors and obstacle avoidance behaviors of the pedestrians, so that traffic dispersion in the subway station is effectively guided. According to the method, the parameter difference of the traffic behaviors of different pedestrians can be recognized, and the method has important significance in analyzing different safety states of people under the high-density condition in the subway station and researching corresponding dispersion facility safety design schemes.

The invention discloses a traffic safety research method based on pedestrian traffic behaviors, and the method comprises the steps: 1, enabling an information collection unit to collect pedestrian traffic accident data and the pedestrian traffic flow, and transmitting the data and the flow to a decision-making unit, and enabling the decision-making unit to screen the information, remove useless information, and reserve reliable information with a large reference value; step 2, in a decision-making unit, utilizing the collected pedestrian traffic accident data and the pedestrian traffic flow data obtained by investigation, and utilizing a chi-square goodness of fit test method and a dominance ratio model to research the influence of the pedestrian facing the traffic flow compared with the pedestrian backing on the traffic flow on the pedestrian safety; besides, based on the pedestrian traffic accident data and the pedestrian traffic flow data, researching the safety of pedestrians when crossing the street at intersections of urban roads and highways, road zebra crossings and road sections without zebra crossings by using a variance analysis method, and finally, proposing suggestions for improving the pedestrian traffic safety according to safety analysis results of the pedestrians under different traffic behaviors.

A method of detecting abnormal traffic events (525) in a geographical location is disclosed. The method comprises determining traffic objects in real time based on a traffic environment in the geographical location. The traffic environment comprises vehicular traffic and pedestrian traffic. The method also includes determining a traffic activity by tracking the traffic objects in the geographicallocation. The traffic activity comprises plurality of object trajectories including location, position, and object boundaries associated with the traffic objects in real time. The method further includes detecting abnormal traffic events (525) in the geographical location by determining one or more anomalous object trajectories in the traffic activity.

The invention discloses a modeling analysis method and system based on social perception data, and the system comprises a perception data obtaining module, an impact factor modeling module, and an explanatory analysis output module. The perception data obtaining module is used for collecting and obtaining related multipath original data for a traffic road section, and carrying out the primary preprocessing; the influence factor modeling module is used for establishing a relation model of called environmental influence factors and pedestrian road section traffic accident data, the explanatory analysis output module is used for explaining and analyzing predictive variables and influence factors in the relation model, and the perception data acquisition module is electrically connected with the influence factor modeling module. The influence factor modeling module is electrically connected with the explanatory analysis output module, the incidence relation between influence factors and pedestrian traffic accidents is established through social perception data, variable prediction and explanatory analysis output of the influence factors are carried out, and the method has the advantage that environment and pedestrian traffic accident analysis is carried out through the perception data.