124results about How to "Avoid traffic accidents" patented technology

The invention belongs to the technical field of intelligent transportation, and discloses a driving state recognition method and system based on multi-modal fusion. According to the method, the wrist movement information of the driver is collected through the non-invasive physiological bracelet, the wrist movement information is combined with traditional physiological signals, driving performance data and the like, and the accuracy and robustness of driving state recognition are improved. The invention provides a feature dynamic weighting model, the model captures a long-term dependency relationship in a time sequence by using an LSTM module, and weights the features among different modes by using a cross attention mechanism module, so that the dynamic importance of each feature can be adjusted according to different driving states, and the accuracy of driving is improved. And deep interaction and feature enhancement of different modal data are realized by using a Transform module. According to the method, the XGBoost model is utilized, driving state classification is carried out based on the weighted multi-modal features, and different driving states can be accurately distinguished.

The invention discloses an integrated digital intelligent cockpit domain system, and relates to the technical field of intelligent automobiles, the cockpit domain system comprises an environment sensing module, a decision planning module, a control execution module, an early warning and auxiliary driving module and a man-machine interaction and information display module; the environment sensing module is used for acquiring and analyzing the landform, curve and gradient information of the mountain road in real time, and environment data of pedestrians, vehicles, obstacles and road edges around the vehicle. The cockpit domain system has the advantages that the cockpit domain system monitors the surrounding environment of a vehicle in real time through the environment sensing module, front collision early warning and lane keeping assistance are achieved, traffic accidents are effectively prevented, the driving safety is improved, the early warning and auxiliary driving module can detect behaviors of a driver, the driving state of the driver is monitored in real time, and the driving safety is improved. Fatigue driving, distracted driving and violation operation can be found and reminded in time, and the safety, convenience and comfort of driving are improved.

The invention provides an elastic traffic control method considering road accumulated water distribution. The method comprises the steps of collecting road surface point cloud data and obtaining a road three-dimensional model; utilizing computational fluid mechanics simulation software to construct a road ponding simulation model under the rainfall condition; according to the simulation result, calculating the critical water skiing speed corresponding to the accumulated water depth, and comparing the critical water skiing speed with the lane speed limit to judge the water skiing risk; the sections with the water skiing risk are divided into risk sections; reducing the maximum limit driving speed of the risk section; dividing a high-risk section by comparing the maximum speed limit with a preset threshold value, and performing bypassing adjustment; by comparing the proportion of the risk section with a preset safety threshold value, a channel sealing measure is taken; and real-time weather and road conditions are continuously monitored and timely adjusted. By means of the method, the lane speed limit and the traffic flow direction are dynamically adjusted, tackle and traffic accidents caused by accumulated water on the road surface are effectively prevented, the water skiing risk of vehicles under the rainfall condition is reduced, and the road traffic safety is ensured.

The invention relates to a motor driving torque determination method, a vehicle control unit and a vehicle, and belongs to the technical field of four-wheel-drive pure electric vehicles. The method comprises the steps that the acceleration pedal depth and the vehicle speed are obtained; determining a driving demand torque based on the acceleration pedal depth and the vehicle speed; determining the load ratio of the front axle to the rear axle; according to the load ratio of the front axle and the rear axle, the torque distribution proportion of the front axle and the rear axle is determined, and the driving demand torque is the sum of the front axle torque and the rear axle torque; detecting a steering wheel angle and determining a vehicle driving track; according to the vehicle driving track, the TCS trigger flag bit and the VDC trigger flag bit, the torque distribution proportion of a front axle and a rear axle is compensated or not compensated, and the final torque distribution proportion is obtained; determining a motor driving torque based on the final torque distribution proportion; and performing minimum calculation on the motor driving torque and the motor driving torque threshold value to obtain the final motor driving torque. Through the motor driving torque determined by the invention, an automobile can be prevented from slipping.

The invention discloses a driving behavior risk detection method, system and device and a storage medium, and relates to the field of driving safety. The method comprises the following steps: collecting vehicle internal data, external environment data, driver biological characteristic data, vehicle-mounted video data and vehicle-mounted audio data; extracting a first feature from the vehicle internal data, extracting a second feature from the external environment data, extracting a third feature from the driver biological feature data, extracting a fourth feature from the vehicle-mounted video data, and extracting a fifth feature from the vehicle-mounted audio data; fusing the first feature, the second feature, the third feature, the fourth feature and the fifth feature to obtain a feature vector, and inputting the feature vector into a preset machine learning model to obtain a risk detection score; and when the risk detection score exceeds a threshold value, displaying risk information on a vehicle-mounted display screen and giving a voice prompt. By implementing the technical scheme provided by the invention, the driving risk can be comprehensively evaluated by integrating multi-source data, the early warning is timely performed, and the driving safety is improved.

The invention discloses a human-vehicle traffic early warning system applied to traffic safety, which relates to the technical field of traffic safety and comprises a data acquisition unit, a data processing unit, an early warning decision unit, a user interaction unit, a safety and compliance unit and a system management and maintenance unit. The data processing unit is used for receiving the trajectory data and processing the trajectory data; the early warning decision-making unit is used for analyzing the processed trajectory data by applying a safe distance technology and a traffic conflict model so as to evaluate and predict traffic risks and generate an early warning decision; and the user interaction unit is used for displaying the generated early warning decision through a visual interface and sending out a corresponding early warning signal. Trajectory data of vehicles and pedestrians can be collected through the data acquisition unit and transmitted to the data processing unit for processing, a solid foundation is provided for subsequent early warning decisions, and timeliness and accuracy of early warning information are ensured.

The invention relates to the technical field of radar and video signal processing and machine learning, in particular to high-precision identification and analysis of a vehicle motion state based on a radar video fusion technology, and the method comprises the steps: collecting radar signals and video images around a vehicle; the collected radar signals and video images are preprocessed; vehicle operation information is extracted from the preprocessed radar signals and video images; a McMaster algorithm is used to divide the vehicle driving state; and fusing the extracted radar feature information and video feature information by using Kalman filtering. The algorithm precision is improved, and misjudgment is reduced.

The invention discloses a lane changing overtaking collision early warning control method and device, electronic equipment and a vehicle. The method comprises the steps that driving data of a first vehicle, a second vehicle and a third vehicle on a target road and road condition data of the target road are acquired; wherein the second vehicle represents vehicles in the same lane in front of the first vehicle, and the third vehicle represents vehicles in an opposite lane in front of the first vehicle; determining whether a preset condition of the first vehicle is limited based on the driving data and the road condition data; and when the preset condition is limited and the first vehicle has the overtaking tendency, early warning information is sent to the first vehicle. According to the invention, whether the driving environment of the first vehicle is safe can be accurately judged, especially in an overtaking scene. Once it is detected that the preset conditions are limited (for example, the safe distance is insufficient, and vehicles come from the opposite lane), early warning information is sent to the first vehicle in time, traffic accidents are effectively avoided, the overall safety of road driving is improved, and the method can be widely applied to the technical field of data processing.

The present invention discloses a vehicle driving brake device with auxiliary braking function. The present invention is provided with an electromagnetic winding and a brake disc, so that when the temperature of the brake disc is too high, resulting in a decrease in the braking ability of the vehicle, the electromagnetic winding can provide auxiliary braking to avoid brake failure and vehicle accidents. The provided driving motor and lead screw enable the distance between the electromagnetic winding and the brake disc to be adjusted, thereby facilitating the control of the auxiliary braking ability of the electromagnetic winding on the brake disc, enhancing the controllability of the auxiliary braking, and ensuring the safety of the auxiliary braking. The provided anti-lock braking mechanism can actively use the anti-lock braking mechanism to achieve tire braking when the vehicle tire is locked, thereby improving the controllability of the vehicle, avoiding vehicle rollover, causing traffic accidents and driver injuries. Compared with traditional brake systems, the present invention has the excellent effects of strong braking ability and high braking safety.

The invention discloses a dangerous driving grade determination system and method based on Internet of Vehicles data. The method comprises the following steps: acquiring a vehicle driving state and a self state index, a driver and passenger related index and a road related index based on the Internet of Vehicles data; performing index danger level division on each index according to the collected limit value condition of each index; and making a decision on each collected index and the index danger level corresponding to each index by using an integrated learning algorithm to obtain the dangerous driving level of the vehicle. According to the method, the vehicle, driver, passenger and road state indexes in the Internet of Vehicles data are comprehensively collected, the danger level of each index is divided carefully, the integrated learning algorithm is used for comprehensive evaluation, the dangerous driving level of the vehicle is accurately determined, and the road safety early warning and driving behavior management efficiency is effectively improved.

The invention relates to a vehicle driving warning method and device, equipment and a medium, and the method comprises the steps: obtaining a longitudinal-axis acceleration set and a vertical-axis acceleration set corresponding to vehicle driving within a preset time period, and when the latest longitudinal-axis acceleration in the longitudinal-axis acceleration set is smaller than a first preset threshold value, giving an alarm; the method comprises the steps of obtaining a corresponding longitudinal average absolute value according to a longitudinal axis acceleration set, when the longitudinal average absolute value exceeds a second preset threshold value, determining a corresponding vertical fluctuation frequency number matched with a bumpy driving condition according to a vertical axis acceleration set, and when the vertical fluctuation frequency number is lower than a third preset threshold value, sending a continuous alarm control instruction to a target alarm unit, and the target alarm unit is continuously controlled to show that the vehicle is in a driving state of rapid deceleration. By comprehensively analyzing the real-time acceleration of the vehicle in the longitudinal direction and the transverse direction in the running process, accurate and efficient rapid deceleration detection is achieved, and an alarm can be given in time.

The invention relates to the technical field of mountainous area arterial highways, in particular to a mountainous area arterial highway high-risk road section early warning system which comprises a data acquisition module, a data transmission module, a data processing module, an early warning issuing module and a system management module. The data acquisition module is used for collecting meteorological data, vehicle data and geological data on a high-risk road section of a highway; according to the invention, real-time monitoring and early warning of possible dangerous conditions can be realized in high-risk road sections of mountainous areas, meteorological environments can be comprehensively monitored, mountain information can be captured, and pedestrians can obtain warning information in advance in the advancing process through the early warning issuing module by using various propagation paths, so that traffic accidents can be effectively avoided, and the safety of the mountainous areas can be ensured. The safety and the passing efficiency of the arterial highways in the mountainous area are improved, particularly when the vehicle runs in severe weather and at night, the life safety of pedestrians can be greatly guaranteed, the driving safety of high-risk road sections of the arterial highways in the mountainous area is improved, traffic management is facilitated, and the disaster response capacity is enhanced.

The invention relates to the technical field of urban traffic management, in particular to a prediction system and method based on traffic management, and the system comprises a data collection module, a data preprocessing module, a feature extraction module, a model construction module, a prediction analysis module and a management strategy making module. A sensor network is deployed at a traffic road section and a road intersection, traffic flow data under rain and snow weather conditions and during holidays and festivals are collected in real time, and then traffic flow prediction is performed through data preprocessing, feature extraction and a traffic flow prediction model based on a random forest algorithm. And the traffic flow density, the vehicle speed, the traffic bottleneck position and the potential congestion point can be accurately predicted. And based on the prediction result, a corresponding traffic management strategy is formulated and implemented, so that traffic congestion is effectively relieved, the traffic passing efficiency is improved, and the traffic safety is ensured. According to the invention, dynamic, accurate and intelligent traffic management can be realized, and the system is especially suitable for high-risk time periods such as special weather conditions and holidays and festivals.

The invention relates to the technical field of image recognition, in particular to a railway track obstacle early warning method and device. The method can be used for real-time monitoring of the railway track, intrusive objects such as people, animals and vehicles are detected in real time through the railway monitoring video, and the influence of track obstacles on railway transportation can be reduced in severe weather. According to the scheme, a Retinex method is used for carrying out defogging and noise reduction processing on a railway monitoring video in severe weather, then an improved SSD algorithm is used for detecting front obstacles, the front obstacles are detected, the positions and the target sizes of the front obstacles are refined, information is provided for a driver through vehicle-mounted equipment, the driver is reminded to pay attention to or brake, and the safety of the driver is improved. Therefore, the safe and efficient operation of the railway and the safety of passengers are effectively ensured, and high reliability and usability are achieved.

The embodiment of the invention provides a vehicle-road cooperation blind area early warning method and device, a storage medium and electronic equipment, and the method comprises the steps: obtaining vehicle-road cooperation data; the vehicle-road cooperation data comprises state information of a plurality of traffic participants respectively sensed by the roadside equipment and the plurality of vehicle terminals at the traffic intersection; the plurality of traffic participants comprise motor vehicles and non-motor traffic participants; under the condition that the motor vehicle is in a moving state, predicting a first moving track of the motor vehicle in a future preset time period and predicting a second moving track of a non-motor traffic person in the future preset time period based on the vehicle-road cooperation data; and according to the distance between the predicted position points of the first moving track and the second moving track at the same moment, controlling roadside alarm equipment to give an alarm. According to the invention, the problem that the dead zone of the large vehicle cannot be fundamentally solved in the prior art is solved.

The application discloses a path planning method and system of an autonomous vehicle, an electronic device and a medium. The method comprises the following steps: acquiring road surface environment information; perceiving traffic participants on the road surface based on the road surface environment information, and acquiring perception information of each traffic participant; determining the uncertainty of the category perception of the traffic participant based on the category information in the perception information, and acquiring perception uncertainty information for identifying the uncertainty; acquiring the first potential field weight of the traffic participant based on the position information, the category information and the perception uncertainty information; and generating a path planning scheme of the autonomous vehicle by using an autonomous driving system based on the first potential field weight. The method can avoid traffic accidents caused by category perception uncertainty factors, and is beneficial to improving the safety of the autonomous vehicle.

The invention relates to the field of expressway traffic management, in particular to an expressway congestion state detection method based on multi-source data fusion, which integrates data of a vehicle detector, an ETC (electronic toll collection) system, an Gade map and the like of a to-be-detected road section, accurately extracts traffic congestion characteristics by using a data analysis technology, and obtains a traffic congestion state through an efficient data fusion strategy. According to the invention, the road network service capability is enhanced, the real-time and consistent perception of the traffic state is realized, the traffic management efficiency is obviously improved, the traffic flow is optimized, the congestion is reduced, the travel experience of a driver is improved, and the highway traffic management efficiency is improved.

This utility model discloses a nighttime driving safety enhancement device at the nose of a highway, belonging to the field of highway traffic safety technology. This utility model uses nighttime vision guidance components deployed on the mainline and ramp guardrails in a designated area to continuously guide drivers in anticipating changes in traffic flow, preventing sudden accidents. Illuminated warning components behind the small nose point alert drivers to entering critical areas, while reflective guide components in front help predict road direction. Warm yellow and pure white guidance lights are respectively installed on the left and right sides to help determine road boundaries, with continuous lighting guiding the driver's line of sight along the road. A segmented guidance system is adopted: constant illumination at long distances provides stable guidance, flashing at medium distances enhances warnings, and constant illumination at close distances reduces visual fatigue. This effectively solves the problem of unstable visibility and warning effects of existing devices in the nose area at night and in low-visibility environments, and ensures guidance effectiveness under adverse conditions through a combination of active and passive illumination.

The invention discloses a fatigue driving prompting device and system based on face detection, and relates to the technical field of intelligent traffic safety, and the fatigue driving prompting device comprises an image acquisition module, a face detection module, a fatigue determination module, a prompting alarm module and a data storage module. The device and the system thereof can monitor the fatigue state of a driver in real time, prompt and alarm in time once detecting that the driver has a fatigue sign, enhance the alertness of the driver, effectively prevent traffic accidents caused by fatigue driving, remarkably improve the driving safety, have a data storage function, and are convenient to use. The driving state and characteristic data of a driver can be recorded in real time, historical accident data are stored, precious data are provided for follow-up driving behavior analysis and accident prevention research, objective evidence support is provided for possible legal disputes, installation is convenient, too much space in a compartment is not occupied, and the system is simple, convenient and easy to adjust. And meanwhile, excessive requirements on the sitting posture of a driver are not made.

A two-way redundant steering mechanical structure comprises a first steering executing mechanism, a second steering executing mechanism, a shell and a steering rack. The first steering executing mechanism and the second steering executing mechanism are the same in structure, the first steering executing mechanism is a main steering executing mechanism, and the second steering executing mechanism is an auxiliary steering executing mechanism. The first steering executing mechanism and the second steering executing mechanism are arranged on the outer side of the left end and the inner side of the right end of the shell respectively and arranged in an inverted mode. The steering rack is arranged in the shell, the two ends of the rack are supported in the shell through sliding bearings, and the steering rack linearly moves left and right relative to the shell. The left end of the rack is connected with a left transverse pull rod through a connecting mechanism, and the left transverse pull rod is connected with the left steering wheel through a steering knuckle; the right end of the rack is connected with a right transverse pull rod through a connecting mechanism, and the right transverse pull rod is connected with a right steering wheel through a steering knuckle; the connecting mechanism is sealed by a dustproof sheath; and the integral two-way redundant steering mechanism is fixedly mounted on a vehicle chassis.

The utility model belongs to tire technical field, concretely relates to a kind of non-pneumatic tire buffer support and the non-pneumatic tire prepared by it. The buffer support is sequentially support outer ring, support spoke piece, support inner ring along tire ground side to inside, its characterized in that, the support spoke piece is located between support outer ring and support inner ring, support spoke piece is evenly distributed in radial along circumference, support spoke piece is in the shape of truncated cone, support spoke piece cross section gradually decreases from tire inside to outside, one end of section is fixedly connected with support inner ring, one end of section is fixedly connected with support outer ring. The non-pneumatic tire has the same support ability and buffering performance as pneumatic tire, completely solves the problem of tire burst of pneumatic tire, avoids traffic accident.

The invention discloses a vehicle side safety distance display method, device and equipment and a storage medium, and relates to the technical field of vehicles, and the vehicle side safety distance display method comprises the following steps: obtaining an initial safety distance according to a current vehicle speed and a preset Polekov model; according to the current steering wheel angle, the current accelerator opening degree, the lane deviation distance, the driver fatigue degree and the road environment information, a safe distance coefficient is calculated, and a target safe distance coefficient is obtained; obtaining a target safety distance according to an initial safety distance and the target safety distance coefficient; and sending the target safety distance to a vehicle side projection lamp, so that the vehicle side projection lamp displays the vehicle side safety distance. The basic vehicle side safety distance is calculated through the improved Polekov model, correction is carried out in combination with the safety distance coefficient to obtain the final vehicle side safety distance, and the vehicle side safety distance is displayed through the vehicle side projection lamp, so that traffic accidents are avoided by displaying the lateral safety distance of the vehicle.

The present invention discloses a car sun visor that can be quickly folded and a method for using the same, comprising a plate body, a receiving groove provided on the bottom surface of the plate body, an adjusting plate arranged inside the receiving groove for adjusting the shading area of ​​the plate body, and a folding mechanism arranged at the bottom of the plate body, wherein a rubber pad is provided on the top of the adjusting plate, a limiting plate is connected to the top of the rubber pad, the limiting plate is connected to the plate body, and a plurality of elastic ropes are connected to the top of the adjusting plate, and the tops of the elastic ropes sequentially penetrate the rubber pad and the limiting plate and are connected to the plate body. The present invention allows the user to fold the plate body while pressing the pressing plate, and this operation does not change the usage habits of the traditional sun visor, so that the downwardly extending adjusting plate automatically resets when the plate body is folded, and no other operations are required, and there is no extra time consumption, so that the plate body can be folded quickly, avoiding traffic accidents that may be caused by the different actions of folding the sun visor from the traditional ones.

The utility model belongs to railway safety monitoring technical field especially relates to a kind of redundancy formula railway unmanned crossing alarm system, active magnetic steel is respectively installed in the two sides of unmanned crossing, passive magnetic steel is respectively installed in the outside of active magnetic steel, the active magnetic steel and passive magnetic steel are all connected controller, controller connects alarm sounder;The control mainboard in the controller includes two circuits, passive magnetic steel control circuit and active magnetic steel control circuit, the passive magnetic steel control circuit includes passive magnetic steel input J1 and current-limiting resistance R1, passive magnetic steel input J1 connects current-limiting resistance R1, current-limiting resistance R1 connects isolation photocoupler U1, isolation photocoupler U1 connects alarm sounder;Adapter plate is additionally installed on the control mainboard in the controller, to match interface, passive magnetic steel control circuit is connected on adapter plate. Train is detected by active magnetic steel and passive magnetic steel, no matter high speed or low speed of train, low magnetic car body or under extreme weather conditions, alarm system will not occur missed detection.

The invention discloses a vehicle headlamp control method and device, a vehicle and a computer readable storage medium, the vehicle headlamp comprises an illumination module used for illumination and a projection module used for projection, and the vehicle headlamp control method comprises the steps that when it is recognized that the vehicle drives into a tunnel road section, the driving track of the vehicle is obtained in real time; and based on the driving track, controlling a projection module to project a projection image matched with the driving track in front of the driving vehicle. According to the method, the driving track of the current vehicle can be visually known by observing the projection image projected on the ground, visual driving guidance is provided for a driver, attention of other vehicles can be improved, traffic accidents such as rear-end collision can be prevented, and therefore the safety of road driving is overall improved; meanwhile, by means of the control method of the vehicle headlamp, the problem that a traditional headlamp is poor in lighting effect at night or under the condition of poor sight is solved, and the overall science and technology feeling and intelligence feeling of the vehicle can be improved.

A pedestrian detection device for blind spots on buses with risk avoidance function includes a powered telescopic frame, a pedestrian recognition module, an audible and visual alarm, an environmental recognition module, a geographic location recognition module, an emergency avoidance module, and an embedded microcontroller. The powered telescopic frame is installed on the front roof of the bus. The pedestrian recognition module, environmental recognition module, and emergency avoidance module are all mounted on the powered telescopic frame. The audible and visual alarm and the embedded microcontroller are both installed on the interior ceiling of the bus, directly below the powered telescopic frame. The geographic location recognition module is mounted on the embedded microcontroller. The embedded microcontroller is connected to the powered telescopic frame, pedestrian recognition module, audible and visual alarm, environmental recognition module, geographic location recognition module, and emergency avoidance module via signals. This invention can effectively identify pedestrians in the blind spots of buses, alert the driver to driving safety through the audible and visual alarm to avoid traffic accidents, and also has risk avoidance and emergency avoidance functions.

The invention provides an information board information encryption release safety processing method and a terminal, and the method comprises the steps: controlling an information collection device to carry out the information collection of an information board, obtaining an information collection image corresponding to the information board, and carrying out the comparison according to an information standard image of the information board and the information collection image, and determining a damaged region; determining an effective area according to the damaged area and a display area in the information acquisition image, obtaining a customized display word number based on the effective area and a standard character area, and obtaining a limited word number of a standard information statement in the information standard image; based on the numerical relationship between the customized display word number and the limited word number, calling a customized display strategy to customize a standard intelligence statement to obtain a display intelligence statement; and updating and displaying the information statement to the information board and acquiring the information statement to obtain a customized display image, encrypting the customized display image and sending the encrypted customized display image to the publishing end, and receiving decryption of the encrypted customized display image by the publishing end and publishing the encrypted customized display image.

The utility model belongs to tire technical field, concretely relates to a kind of non-pneumatic tire for passenger car, including tread layer, buffer support body and rim, the tread layer includes tread ring base rubber layer, the outer surface of tread ring base rubber layer is tread pattern, and the inner of tread ring base rubber layer is provided with tread ring framework;The first layer tread ring framework, the second layer tread ring framework are sequentially composed by the inner of the tread ring framework along tire ground side, and the tread ring framework is made of nylon cord material, the included angle of the first layer tread ring framework and tire circumferential direction is 23-25 °, and the included angle of the second layer tread ring framework and tire circumferential direction is 15-17 °.By optimizing the structure and material of non-pneumatic tire, it needs to have good shock-absorbing performance, handling performance and lightweight design, suitable for passenger car;It has the same supporting capacity and buffering performance as pneumatic tire, completely solves the problem of tire burst of pneumatic tire, avoids traffic accident.

The invention discloses a braking / steering redundancy control method and system based on a double-vector driving motor, and the method is applied to a three-in-one controller, and comprises the steps: responding to a driver braking / steering intention sent by a braking / steering ECU controller, judging whether a braking / steering system is abnormal or not, if yes, further judging the fault type, and if not, judging the fault type; and a braking / steering redundancy control strategy is determined according to the fault type, and braking / steering redundancy control is executed based on the braking / steering redundancy control strategy. When the vehicle runs and the braking system and / or the steering system cannot work normally, the driving motor and the controller of the driving motor can replace basic functions of the braking system and the steering system, it is guaranteed that the vehicle can run by a certain distance normally, and traffic accidents are avoided.

The present invention discloses an input saturation passive control method for a collaborative adaptive cruise control system, which is used to solve the queue stability control problem in the CACC system. Specifically, it includes: 1. Establishing the kinematic equations between vehicles; 2. Converting the queue stability condition into an input saturation constraint, thereby obtaining a state space expression with saturated input; 3. Designing a passive controller for the system based on the Riccati equation, Lyapunov stability theory and matrix theory; 4. Verifying whether the designed controller can still maintain the stability of the queue in the presence of disturbances. The results verify that the device based on the passive control can not only have strong robustness to disturbances, but also has the function of input limiting, which ensures the stability of the queue and is easy to calculate.