1552results about "Arrangements for variable traffic instructions" patented technology

The invention discloses an intelligent control system and method based on an intelligent indication board, and relates to the technical field of intelligent traffic and Internet of Things control, and the method comprises the following steps: building a unified time mark baseline, collecting an exposure sequence, a saturation threshold sequence and a track residual error, and generating an exposure-track coupling spectrum for calibrating a rain and snow triggering time window; and calculating phase residual mapping under the constraint of an exposure-trajectory coupling spectrum, identifying an exposure oscillation root cause, extracting a saturated source region and a trajectory breakpoint set, and generating a fault anchor point. According to the method, rain and snow interference is identified through a time mark base line and a coupling spectrum, a fault anchor point is constructed, an optical path is played back to assess risks, multi-source signals are fused to generate a steady track, conjugate correction and feedforward constraint are adopted to suppress oscillation, a time reversal closed-loop instruction and multi-strategy joint debugging are combined, and self-adaptive optimization of exposure and induction information is achieved. And the stability and the control precision of the intelligent indication board in extreme weather are improved.

The invention discloses a sudden accident alarm system for a highway, and belongs to the technical field of highway operation management. According to the system, a seven-in-one intelligent terminal integrated with a laser radar sensor, an emergency alarm button, an induction lamp, broadcasting equipment, a two-dimensional code label, a self-luminous plate and a reflective coating film is arranged along the line. A laser radar periodically scans a front 8-meter range, a primary event label is generated in combination with an emergency alarm button signal, and an accident is found in time; calling adjacent terminal data for transverse comparison, tracking a time sequence change trend, and comprehensively judging a risk level; the colors and flicker frequencies of the induction lamps are activated according to the grades, broadcast voice is triggered, and night identification is enhanced through a self-luminous plate and a reflective coating film. The system realizes on-site discovery, on-site response and on-site warning, the response time is remarkably shortened, the problems of lagging discovery and insufficient warning of a traditional monitoring means are solved, and the emergency efficiency and the driving safety are improved.

The invention provides an intersection accident evacuation scheduling method based on cooperation of an unmanned aerial vehicle and a large language model, and relates to the technical field of intelligent traffic management, unmanned aerial vehicle application and artificial intelligence multi-mode fusion. The method comprises the following steps: generating an optimized patrol route based on a large language model; controlling an unmanned aerial vehicle cluster to perform multi-modal data acquisition on urban road network intersection nodes; fusing multi-source heterogeneous data by using a multi-modal fusion module enhanced by a large language model; inputting a multi-modal large language model based on a traffic-dedicated Prompt template, and generating a semantic report including accident positioning, influence evaluation and resource requirements; natural language decisions output by the large model are converted into structured control instructions, and signal lamp timing and lane allocation strategies are elastically adjusted in combination with real-time loads of a road network; and synchronously issuing a multi-mode guide instruction through the variable information board, the vehicle-mounted terminal and the navigation APP.

According to certain aspects, a computer-implemented method for operating an autonomous or semi-autonomous vehicle may be provided. With the customer's permission, an identity of a vehicle operator may be identified and a vehicle operator profile may be retrieved. Operating data regarding autonomous operation features operating the vehicle may be received from vehicle-mounted sensors. When a request to disable an autonomous feature is received, a risk level for the autonomous feature is determined and compared with a driver behavior setting for the autonomous feature stored in the vehicle operator profile. Based upon the risk level comparison, the autonomous vehicle retains control of vehicle or the autonomous feature is disengaged depending upon which is the safer driver- the autonomous vehicle or the vehicle human occupant. As a result, unsafe disengagement of self-driving functionality for autonomous vehicles may be alleviated. Insurance discounts may be provided for autonomous vehicles having this safety functionality.

An in-vehicle terminal includes: a V2X communication control unit controlling communication with a neighboring vehicle capable of vehicle-to-vehicle communication; a neighboring vehicle information management unit managing neighboring vehicle information acquired by the vehicle-to-vehicle communication; a V2N communication control unit performing control to provide a first base station connected via direct communication with information on a second base station unable to be connected via direct communication and to request the first base station to provide connected terminal information on the neighboring vehicle connected to the second base station; a relay management unit selecting a relay station that is the neighboring vehicle relaying indirect communication with the second base station based on the neighboring vehicle information and the connected terminal information; and a redundant system management unit instructing the relay management unit to perform indirect communication with the second base station when the second base station cannot be connected via direct communication.

A method and system for cloud-based V2X for providing real-time broadcast of signal phase and timing (SPaT) data. An example method includes receiving SPaT data from one or more traffic signal controllers, processing the SPaT data by converting the SPaT data from an original format into one or more different formats, where the processing includes distributing a processing load over a plurality of docker containers using a grouping or clustering algorithm that takes into account a raw data arrival sequence from the traffic signal controllers, determining one or more nearest intersections based on geolocation of a client device, and transmitting processed SPaT data related to at least one of the one or more nearest intersections to the client device.

The invention relates to the field of intelligent traffic systems, in particular to an intelligent intersection multi-vehicle cooperative control method. The method comprises the following steps: S1, sensing a vehicle state and sharing vehicle node information by adopting a dual-mode communication mechanism; s2, fusing state data at edge computing nodes; establishing a dynamic traffic model according to the fused state data; s3, acquiring node data of the edge calculation node, calculating a vehicle passing priority index according to the node data, and performing vehicle priority decision according to the passing priority index; s4, performing grading processing on the vehicles with the overlapped tracks; s5, the RSU device broadcasts the control instruction, and if the vehicle-mounted unit receives the control instruction within the set time, an execution report is transmitted back to the RSU device; and if the vehicle-mounted unit does not receive the control instruction within the set time, a redundancy execution mechanism is started to detect and control the running state of the vehicle. According to the invention, millisecond-level synchronous transmission and high-precision perception of information are realized, and the real-time performance and accuracy of traffic environment modeling are improved.

The invention discloses a highway emergency disposal method and system, and belongs to the technical field of emergency disposal. The method comprises the following steps: an event identification stage: deploying multi-source sensing fusion equipment on a highway to automatically detect emergencies, and increasing deployment density in a tunnel and an accident high-incidence road section; an event confirmation stage: performing multi-dimensional fusion analysis and triple verification based on the multi-source sensing data detected by the multi-source sensing fusion equipment; in the scheme triggering stage, according to the confirmed event information, an equipment linkage control strategy is generated based on the multi-level decision-making system; an equipment linkage control stage: performing emergency handling according to the generated equipment linkage control strategy; and a state feedback and optimization stage: carrying out self-learning and iterative optimization on the equipment linkage control strategy based on a reinforcement learning optimization framework. Compared with a traditional manual disposal mode, the system has the advantages that the response speed is obviously increased, the secondary accident rate is greatly reduced, and the energy consumption of equipment is reasonably optimized.

The invention provides a vehicle overspeed prompting method and device, a vehicle, a storage medium and a program product, and belongs to the technical field of vehicles, and the method comprises the steps: collecting object information in an environment where the vehicle is located through a sensor, screening out a preset type of object as a reference object according to the object information, and obtaining the relative driving speed of the vehicle relative to the moving reference object; and under the condition that the relative driving speed is within the overspeed prompting threshold interval, the overspeed prompting information is output, so that the driving safety is improved.

A vehicle control device autonomously controls driving of a subject vehicle. The vehicle control device is configured to grasp information; and determine autonomous driving control of the subject vehicle. The vehicle control device grasps information about an environment of an intersection where the subject vehicle is scheduled to travel and information about an emergency vehicle present around the subject vehicle. The vehicle control device decides whether to execute evacuation control for evacuating the subject vehicle from the emergency vehicle. The vehicle control device searches for an evacuation position that is deviated from a prediction track of the emergency vehicle and from which the subject vehicle is configured to return to the traveling direction, and decides to evacuate the subject vehicle to the evacuation position.

A server apparatus includes one or more processors and a storage medium storing a program. The program includes one or more instructions. The one or more instructions cause the one or more processors to execute: instructing an automatically drivable provider vehicle of a provider who provides a user with a charger installed in a parking space designated for use by the provider to move to a predetermined waiting area; transmitting a provider return notification to the user; instructing the provider vehicle to move from the waiting area to the parking space in accordance with a detection of an exit of the user vehicle from the parking space; transmitting a return notification to the provider in response to a return of the provider vehicle to the parking space; and increasing or decreasing a fee to be paid by the user or a profit to be provided to the provider.

One example operation includes one or more of the following: determining, by a first node, that an event has occurred in a geographic area; predicting, by the first node, a severity of the event, a duration of the event, and at least one vehicle associated with the event; sending, by the first node to a second node, the prediction and a time at which the at least one vehicle will approach the second node; and before the time, sending, by the second node, a notification to other vehicles proximate to the second node to maneuver based on the prediction.

A travel assistance device configured to detect a surrounding environment of a first vehicle by an onboard sensor of the first vehicle and assist the autonomously traveling first vehicle in traveling includes at least one computer configured to perform processing including: setting allowable travel speed, that is a speed at which the first vehicle can be caused to travel under autonomous driving control, to a speed lower than a legal speed or a set speed, that is a speed set by a user, according to a recognition state of the onboard sensor or a vehicle state of the first vehicle; and generating an alternative route including a road having a speed limit less than or equal to the allowable travel speed as a target travel route of the first vehicle, based on the current position of the first vehicle, the destination of the first vehicle, and the allowable travel speed.

This application discloses a highway traffic diversion alarm broadcasting system and method based on AI recognition, relating to the field of highway diversion technology. This application analyzes the load of each vehicle and the driving experience, historical highway violations, and historical highway accidents of each driver to divert vehicles, diverting high-risk vehicles to safer highways, thereby ensuring vehicle safety. Different safe following distances and speeds are set for different highways to avoid traffic accidents caused by excessively close following distances or excessive speeds. Furthermore, the system monitors all vehicles traveling on each highway, broadcasting warnings when accidents or violations are detected, which enhances deterrence against drivers and prevents repeated violations from leading to traffic accidents.

The invention discloses a highway traffic guidance and maintenance construction cooperation system and method based on multi-source data fusion driving. The system comprises a data acquisition module, a standardized processing module, an association fusion processing module, a guide and modification scheme generation module, a scheme optimization module and a standardized scheme output and visual display module. Through modularized series connection from data acquisition, processing, scheme generation to output display, a traditional fragmented operation mode depending on artificial experience is changed; according to the method, integration and automation of'generation-optimization-display 'of traffic guidance and revision schemes are realized, construction requirements can be quickly responded, a plurality of feasible schemes are generated in a short time and are compared and selected, the scheme making period is greatly shortened, and precious time is gained for quick dispersion and passage recovery of the expressway; through fusion and intelligent processing of real-time and multi-source information, the generated guiding and revising scheme has more data support, and the subjective misjudgment risk is significantly reduced.

The present disclosure systems and methods for implementing a bridge digital twin. In this regard, one embodiment of such a method, among others, can be broadly summarized by executing a digital model of a physical bridge that is in use for carrying vehicular traffic; communicatively coupling a control system to one or more weight sensors that are positioned on the physical bridge or on a road that leads to an entrance to the physical bridge; receiving real-time sensor data acquired from the one or more weight sensors; and / or causing an alert to be displayed on a digital sign at the entrance to the physical bridge or on the road that leads to the entrance to the physical bridge when the one or more weight sensors detects that a weight of a vehicle approaching the physical bridge exceeds a threshold value for the physical bridge.

A traffic monitoring system for monitoring a distance, preferably a lateral distance, between an overtaking vehicle (19) and an overtaken road user (20), preferably a bicycle, is disclosed.The traffic monitoring system (1) comprises: a measuring system (29), which is stationary and configured to generate measured values ​​of preferably moving objects in a detection range (7) of the measuring system (2), an evaluation unit (3), which is configured to identify objects in the detection range (7) as an overtaking vehicle (19) and / or an overtaken road user (20) in measured values ​​generated by the measuring system (2), an evaluation unit (4), which is configured to determine distances (a) between objects in the detection range (7), a comparator (5), which is configured to compare distances (a) between objects in the detection range (7) determined by the evaluation unit (4) with a minimum distance (8) and to generate and output a trigger event based on this, and a display and / or detection unit (6), which is configured to perform an action based on the trigger event.Furthermore, a corresponding procedure has been disclosed.

The invention relates to the technical field of traffic control systems, and discloses a dynamic deployment and linkage control method for road early warning signboards, and the method comprises the steps: verifying the authenticity of traffic flow parameters through comparing multi-source data, and recognizing a moving feature boundary representing a congestion state and the propagation speed of the moving feature boundary; the method comprises the following steps of: acquiring a characteristic boundary of the traffic guidance system, defining a virtual guidance field formed by at least two guidance points which are spatially separated at the upstream of the characteristic boundary, and dynamically migrating the guidance field according to the real-time position change of the boundary, thereby converting the reference of the traffic guidance from a fixed geographic facility to a dynamic boundary which moves along with the traffic state in real time. The problem that a traditional fixed early warning mode loses efficacy due to the fact that information transmission lags behind congestion boundary movement is solved from the operating mechanism, and intervention on the traffic congestion dynamic process is achieved.

The invention provides a traffic collision early warning method, system and device based on multi-source perception and a medium, and belongs to the technical field of intelligent traffic. The method comprises the following steps: deploying multiple types of sensor arrays and edge computing terminals in a traffic accident high-incidence area, configuring V2X communication and traffic signal interfaces, and constructing an operable hardware infrastructure; a sensor array is used for collecting target data, and standardized multi-source data streams are generated through time synchronization, format unification and noise filtering; carrying out fusion perception and target identification by adopting a multi-source attention mechanism fusion algorithm, an OfficientDet model and a tracking algorithm, and outputting a dynamic target tracking data set; predicting a target trajectory based on a time sequence prediction model, calculating a collision probability and dividing collision risk levels in combination with space-time crossing judgment, and generating a risk assessment result and a distribution diagram; triggering a multi-channel early warning mechanism according to the collision risk level; and recording full-process data and labeling, and carrying out model optimization regularly.

The invention provides a vehicle early warning method and system based on low-speed vehicle group detection, and the method comprises the steps: classifying vehicle driving roads based on vehicle driving road data and climate data obtained in real time, and dynamically setting a corresponding target vehicle speed threshold value; constructing a plurality of dynamic windows, calculating the total number of vehicles in the dynamic windows and the number of vehicles with the vehicle speeds meeting a target vehicle speed threshold value through the dynamic windows, and obtaining the number of low-speed vehicles; calculating the distance between adjacent vehicles and the speed gradient of the adjacent vehicles based on the number of the low-speed vehicles and the plurality of dynamic windows; and based on the distance between the adjacent vehicles and the speed gradient of the adjacent vehicles, identifying a low-speed vehicle group and sending an early warning to the vehicles. According to the invention, the problem of road congestion caused by difficulty in timely early warning of vehicles running on a road due to incapability of identifying local low-speed vehicle groups in the prior art is solved. According to the invention, road low-speed vehicle groups are accurately identified, and early warning is timely sent to remind vehicles, so that road congestion is dealt with, and the traffic efficiency is improved.

The invention relates to a traffic scheduling method and device based on a trusted execution environment and a multi-agent system. The method comprises the following steps: collecting vehicle data through a vehicle Agent and sending the vehicle data to a nearest roadside Agent; local decision making is carried out on vehicle data through combination of a roadside Agent and local traffic data sensed by the roadside Agent, so that roadside resource scheduling is carried out, and generated obstacle information is broadcasted to surrounding vehicle Agents; vehicle data and obstacle information sent by the roadside Agent are acquired and analyzed through the cloud Agent, and a global traffic decision is generated; vehicle driving is controlled through a vehicle Agent based on the obstacle information and the global traffic decision; quick response is carried out through the emergency Agent when an emergency occurs, and authenticity and security in a data communication process are supervised through the security Agent; wherein the vehicle Agent, the roadside Agent, the cloud Agent, the emergency Agent and the security Agent all run in a trusted execution environment. According to the invention, efficient, safe and reliable operation of intelligent traffic can be realized.

The invention discloses an air-ground cooperative intelligent monitoring method and system based on an iron tower base station, and the method comprises the steps: obtaining multi-mode video monitoring data of an air-ground cooperative monitoring region, and carrying out the feature extraction and analysis, and obtaining the position information of a target event; scheduling the unmanned aerial vehicle to collect close-range video monitoring data for analysis and anomaly detection based on the position information, and optimizing the position information based on a detection result to obtain optimized position information; performing reverse path calculation based on the optimized position information to obtain an upstream associated road section of the target event; and creating an event brief report and a playing frequency dynamic adjustment model to broadcast the traffic event, and pushing broadcast content to an upstream associated road section of the target event. According to the invention, the coverage range of video monitoring is improved, abnormal events can be accurately positioned, the video monitoring technology is combined with cloud broadcasting, effective utilization and fine management of broadcasting resources are realized, and the accuracy and coverage range of sound transmission are improved.

The invention provides a road slope superficial displacement monitoring method, system, device, equipment and medium, and relates to the technical field of road construction. Road slope characteristic data and environment characteristic data are obtained; on the basis of the road slope feature data and the environment feature data, predicting early warning feature data of the road slope by adopting a prediction model; based on the early warning feature data and a slope geological condition early warning threshold value, determining a prediction early warning level; on the basis of the determined mapping relation between the early warning level and the response measure, determining the response measure corresponding to the predicted early warning level so as to effectively identify the subtle change of the displacement trend and reduce the false alarm rate and the missing report rate; and an efficient technical means is provided for preventing side slope disasters and guaranteeing road traffic safety.

This system provides a simplified payment processing system for providing in-vehicle charging services on toll roads. [Solution] The on-road power supply system includes: a request receiving unit that receives power supply requests from vehicles traveling upstream of the on-road power supply section via a first roadside communication facility installed upstream of the on-road power supply section; a power transmission command unit that, upon receiving the power supply request, transmits a power transmission command to a power transmission unit corresponding to the on-road power supply section; and a power reception unit that receives a power reception amount notification from the vehicle indicating the amount of power received in the on-road power supply section.

To provide an information processing device that outputs a data structure capable of efficiently managing a group of mobile robots.SOLUTION: An information processing device 10 includes: an acquisition unit 101 for acquiring a map in which passable areas and impassable areas of a mobile robot are distinguished and information on the size of the robot; a processing unit 102 for dividing the passable area of the map into a first area where the running direction of the robot is fixed and a second area where the running direction of the robot is not fixed, and generating a predetermined data structure that stores information on whether or not the robots have passed each other in the first area as the information on the first area and information on the number of robots that can exist at the same time as the information on the second area using information on the sizes of the robots; and an output unit 103 that outputs the data structure generated by the processing unit 102.SELECTED DRAWING: Figure 2

To provide a technique for appropriately keeping an indoor environment while reducing a burden on a remote supporter in a driverless vehicle.SOLUTION: Provided is a control system for an unmanned vehicle which eliminates the need for a driver or a conductor to get on the vehicle. In the control system, based on information of items relating to an indoor environment of the vehicle, an index relating to maintenance of the indoor environment is calculated, and it is determined whether or not the index is equal to or more than a threshold. In a case where the index is less than the threshold, a predetermined message is reported using an indoor reporting device of the vehicle and in a case where the index is equal to or more than the threshold, a remote support request is transmitted to a remote support terminal that remotely supports the vehicle.SELECTED DRAWING: Figure 2

Provided is an information processing device that can improve post-accident processing, which includes an event information reception unit configured to receive event information of an event that occurs in an autonomous movable apparatus; and a device information acquisition unit configured to acquire device information of a device other than the movable apparatus in which the event has occurred; and a post-processing unit configured to perform post-processing after the event has occurred based on the event information and device information.

The present invention provides a driver assistance system and vehicle capable of predicting the likelihood of pedestrians or light vehicles crossing the road before a crosswalk in specific traffic conditions. [Solution] A driving assistance device according to one embodiment of the present disclosure is capable of predicting the time it will take for a target traffic participant to reach a crosswalk when, under predetermined conditions at a first time, the signal for pedestrians or light vehicles at a crosswalk begins to switch from indicating "proceed" to indicating "no proceed" at a second time. Furthermore, based on the predicted time, this driving assistance device can calculate the probability that the target traffic participant will cross the road on which the vehicle is traveling, and determine whether or not to provide driving assistance and the content of the driving assistance according to the calculated probability.

The invention relates to the technical field of highway construction, in particular to a highway construction area dynamic safety guidance system for a complex traffic environment, which comprises a traffic flow monitoring module, a space change identification module, a risk partition judgment module, a dynamic guidance strategy module and an information release coordination module. According to the method, a dynamic guide information generation mechanism is constructed by combining real-time traffic flow monitoring data and construction area space change information, so that the change of a traffic state can be reflected in real time, and the guide information in the construction area is ensured to be consistent with the actual traffic flow density and lane space change; different construction areas are guided differentially according to risk levels and traffic conditions, high-risk areas are clearly divided, the accuracy and timeliness of information release are improved, the release frequency and content of guide information are dynamically adjusted, the traffic order and traffic safety of the construction areas are guaranteed, and the static and lagged information release problem in a traditional scheme is solved.

To provide an information providing device capable of surely notifying an automatic driving vehicle of an intention indication of a pedestrian.SOLUTION: An information providing device 10 is installed in a periphery of a pedestrian crossing PC. The information providing device 10 comprises a communication device 11 which receives an intention indication signal relating to crossing from a portable terminal 30 that a pedestrian PA carries, and a control device 12 which notifies an automatic driving vehicle VE of the reception of the intention indication signal via the communication device 11.SELECTED DRAWING: Figure 2