43 results about "Pedestrian transport" patented technology

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 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.