27 results about "Speed management" patented technology

The invention provides a highway vehicle speed management and control method and system based on a management and control unit, and the method comprises the steps: obtaining a to-be-managed and controlled task of a target management and control unit of a target highway section, and aiming at a to-be-managed and controlled vehicle speed knowledge point of a to-be-managed and controlled vehicle, carrying out the management and control of the to-be-managed and controlled task under the condition that a current tracking node has vehicle speed data; and in combination with the current tracking node, the termination node of the first tracking time period and the tracking time period duration parameter, determining a vehicle speed distribution characteristic parameter of the to-be-controlled vehicle speed knowledge point of the to-be-controlled vehicle in the second tracking time period. And further, a target vehicle speed prediction scheme is determined based on the vehicle speed distribution characteristic parameters, and vehicle speed characteristic information of to-be-controlled vehicle speed knowledge points in the second tracking time period of the to-be-controlled vehicle is determined according to the target vehicle speed prediction scheme. The method can effectively predict and control the speed of the vehicle on the expressway, improves the accuracy and real-time performance of vehicle speed management, facilitates the optimization of the traffic flow of the expressway, and improves the traffic efficiency and safety of the road.

The invention provides a big-data-based high-speed management and control method special for passenger cars and a computer system, and the method comprises the steps: obtaining a real-time passenger car running data set and a historical passenger car running data set of a target expressway, constructing a target management and control strategy tree based on historical feature matching records, determining a target management and control node associated with a current real-time road condition, and obtaining a target management and control node associated with the current real-time road condition; performing path traversal on a target management and control node from a root node of the target management and control strategy tree, extracting a driving feature matching engine corresponding to each traversal node, performing multi-dimensional feature extraction on real-time driving track data and vehicle-mounted sensor data in the real-time passenger car driving data set to obtain a dynamic driving feature set, and performing dynamic driving feature extraction on the dynamic driving feature set; and according to a matching result between the dynamic management and control strategy and the dynamic management and control strategy corresponding to each node in the target management and control strategy tree, generating a real-time management and control instruction corresponding to the passenger car for management and control. According to the invention, the feasibility problem of real-time management and control in a large-scale road network environment can be effectively solved.

A computer implemented method for managing a current speed of an aircraft. A number of processor units identify a delay in an arrival time for reaching a destination location for a current flight of the aircraft. The number of processor units determines a new speed for reducing the delay during the current flight of the aircraft based on a state of the aircraft that optimizes a number of performance metrics for the aircraft using an aircraft specific fuel consumption model for the aircraft.

The invention discloses a low-altitude aircraft and vehicle cooperative intelligent high-speed management and control system, and relates to the technical field of intelligent transportation, and the system comprises a heterogeneous network fusion unit which is used for building a unified communication protocol framework based on the demands of an aircraft and vehicle communication network, and formulating a general communication rule and a data format, protocol conversion and adaptation among different networks are realized; the positioning sensing recognition unit is used for integrating multiple positioning technologies, fusing original data of different sensors, recognizing target behavior attributes through a layered uncertainty modeling and transmission mechanism, establishing a target tracking algorithm and tracking positions and motion states of an aircraft and a vehicle in real time; and the collaborative decision control unit is used for fusing the traffic data of the aircraft and the vehicle, planning the paths of the aircraft and the vehicle, and designing an emergency event collaborative processing mechanism through a sensor and data fusion technology. According to the invention, efficient cooperative management and control of the low-altitude aircraft and the vehicle are realized.

A method for adaptive and predictive speed management of a motor vehicle, the vehicle traveling on a route determined by a navigator, comprises: detection (21) that the motor vehicle is approaching at least two successive intersections on the same side of the lane; determination (23) that following the route involves taking the intersection furthest from the motor vehicle; and detection (25) of the activation of a turn signal by the driver of the motor vehicle; then, if the nearest intersection to the vehicle is (27) less than a predetermined distance from the furthest intersection, adjustment (29) of the vehicle's speed to take the furthest intersection, otherwise adjustment (31) of the vehicle's speed to take the nearest intersection. Figure to be published with the abbreviation: Fig 2

The present disclosure envisages in the field of navigation of aircrafts, their landing and take-off in low visibility situations. The system (100) comprises User device (200), Terminal (300), Aircraft Speed, Brake & Engine Control Module (500), a server (400) and pass-through points (600). Terminal (300) is configured to Aircraft Speed, Brake & Engine Control Module (500) which is configured to Aircraft Speed System. The server (400) through user device (200) with air traffic controller creates geofences (on the defined stretched of aircraft flight paths, runway zones / taxi bay lanes) and stores rules associated with each such geofences. Terminal (300) when it is found in a geofence gets instructions / messages from server (400) and communicate to Aircraft Speed, Brake & Engine Control Module (500). Aircraft Speed, Brake & Engine Control Module (500) connected to aircraft speed management system accordingly changes / regulates the speed of the aircraft which remains valid until Terminal (300) gets a new instruction / message from server (400) once Terminal (300) is at a new geofence. Precise location coordinates-based navigation map (based on multiple geofences fusion / intersection / overlap) and glidepath is created connecting the centerline of touchdown zone of runway to the terminal (300) of the aircraft when terminal (300) is found at desired descent zone geofence location coordinates. Pilot follows the glidepath i.e. precise navigation map and altitude (and after considering other usual parameters like speed, wind speed and direction) at various stages of landing and take-off without a need of visuals / lighting system which is not available in low visibility situations like fog, heavy rains, night-time etc. The present disclosure provides a solution for landing and take-off in low visibility situation without investing heavily on infrastructure and certification of operations levels of airports like CAT II and CAT III.

The invention discloses an electric vehicle ordered charging system and method based on artificial intelligence, relates to the technical field of electric vehicle charging, and aims to solve the problems that non-subjective default judgment of an existing charging pile reservation system lacks credible verification and is prone to misjudgment. The method comprises the following steps: establishing an alliance chain evidence storage network containing nodes such as a high-speed management bureau and a navigation platform, and uploading original data with an identifier and generating a hash value by the nodes; when default is detected, multi-source data meeting time and space conditions are screened, after smart contract cross validation, an anti-fact causal reasoning model is input, and a causal graph is constructed to calculate a causal probability so as to judge a direct causal relationship; generating a credible report containing a Hash value and a verification process, storing an evidence on a chain, pushing the report, and optimizing a node data range and a model parameter according to user feedback; the system comprises six cooperation modules, and the judgment credibility and the high-speed service area energy complementing efficiency are improved.

To provide a driving assist system capable of preventing a vehicle from coming into contact with an obstacle when the vehicle makes a curving motion at an intersection.SOLUTION: A driving assist system that can communicate with a monitoring system which monitors each of crosswalks laid along the perimeter of an intersection and detects an obstacle in the crosswalk includes a motion prediction unit that predicts a curving motion at the intersection of the vehicle, a contact prediction unit that, when the curving motion at the intersection of the vehicle is predicted by the motion prediction unit, predicts a contact of the vehicle with an obstacle in the crosswalk in the curving direction of the vehicle, and a speed management unit that, when the contact of the vehicle with the obstacle in the crosswalk in the curving direction is predicted by the contact prediction unit, performs safety processing relevant to deceleration of the vehicle.SELECTED DRAWING: Figure 5

The present invention provides a method and system for controlling the speed of vehicles on highways based on a control unit. The method obtains the to-be-controlled tasks of the target control unit of the target highway section, and for the to-be-controlled speed knowledge points of the to-be-controlled vehicles, and when the speed data exists at the current tracking node, combines the current tracking node, the end node of the first tracking period, and the tracking period duration parameter to determine the speed distribution characteristic parameters of the to-be-controlled speed knowledge points of the to-be-controlled vehicles in the second tracking period. Furthermore, a target speed prediction scheme is determined based on the speed distribution characteristic parameters, and the speed characteristic information of the to-be-controlled speed knowledge points of the to-be-controlled vehicles in the second tracking period is determined based on the target speed prediction scheme. This method can effectively predict and control the speed of vehicles on highways, improve the accuracy and real-time performance of vehicle speed management, help optimize traffic flow on highways, and improve road traffic efficiency and safety.

The present disclosure envisages in the field of navigation of aircrafts, their landing and take-off in low visibility situations. The system (100) comprises User device (200), Terminal (300), Aircraft Speed, Brake & Engine Control Module (500), a server (400) and pass-through points (600). Terminal (300) is configured to Aircraft Speed, Brake & Engine Control Module (500) which is configured to Aircraft Speed System. The server (400) through user device (200) with air traffic controller creates geofences (on the defined stretched of aircraft flight paths, runway zones / taxi bay lanes) and stores rules associated with each such geofences. Terminal (300) when it is found in a geofence gets instructions / messages from server (400) and communicate to Aircraft Speed, Brake & Engine Control Module (500). Aircraft Speed, Brake & Engine Control Module (500) connected to aircraft speed management system accordingly changes / regulates the speed of the aircraft which remains valid until Terminal (300) gets a new instruction / message from server (400) once Terminal (300) is at a new geofence. Precise location coordinates-based navigation map (based on multiple geofences fusion / intersection / overlap) and glidepath is created connecting the centerline of touchdown zone of runway to the terminal (300) of the aircraft when terminal (300) is found at desired descent zone geofence location coordinates. Pilot follows the glidepath i.e. precise navigation map and altitude (and after considering other usual parameters like speed, wind speed and direction) at various stages of landing and take-off without a need of visuals / lighting system which is not available in low visibility situations like fog, heavy rains, night-time etc. The present disclosure provides a solution for landing and take-off in low visibility situation without investing heavily on infrastructure and certification of operations levels of airports like CAT II and CAT III.

The invention relates to the field of vehicle management and control, and discloses a vehicle overspeed management method and system based on multi-modal fusion, and the method comprises the following steps: monitoring the traffic flow of a main road of a construction site, recording overspeed vehicles, and carrying out the overspeed management of the vehicles in a vehicle management system of the construction site in combination with a multi-modal data fusion analysis method. Compared with a single-modal identification technology, the multi-modal fusion technology can make full use of complementarity and redundancy among different modal data, and improves the precision and comprehensiveness of information expression. Meanwhile, the technology can also adapt to different environments and scenes, and has higher adaptability and flexibility.

The embodiment of the invention provides a vehicle overspeed judgment method and device based on an electronic map fence, and the method comprises the steps: obtaining the positioning data of a vehicle, and the positioning data comprises the time, the longitude, the latitude, the vehicle speed and a vehicle identifier; judging whether the vehicle enters a speed limit area based on the positioning data; wherein the number of the speed limiting areas is one or more than one, and each speed limiting area is associated with one or more than one speed limiting vehicle and the speed limiting value; when the vehicle enters the speed limiting area, monitoring the speed of the vehicle; comparing the vehicle speed with the speed limit value, and judging whether the vehicle is overspeed or not; and generating an overspeed alarm under the condition that the overspeed is judged. The system compares the current speed of the vehicle with an applicable speed limit value, and supports multi-stage overspeed judgment logic, so that more refined and scenarized speed management and dynamic alarm control are realized.

A computer system (500) comprising processing circuitry (502) configured to manage travel speeds at a site (1) supporting operation of at least a first autonomous heavy-duty vehicle (2). The processing circuitry is further configured to determine slippage data indicative of wheel slippage between ground and at least a first wheel (3) of the vehicle traveling in a region of the site; obtain site-related data indicative of travel speed-affecting site conditions; derive, based on the site-related data, a wheel slippage reference value desired for the vehicle in said region; deduce, based on the wheel slippage reference value, a travel speed reference value desired for the vehicle in said region, which travel speed reference value reflects a travel speed corresponding to the wheel slippage reference value; and, when the determined wheel slippage deviates from the wheel slippage reference value, provide travel speed instruction data instructing the vehicle to in said region adapt travel speed to the travel speed reference value.

The embodiment of the invention provides a parallel driving operation area dynamic speed management method and system, computer equipment and a storage medium, the method is applied to the parallel driving operation area dynamic speed management system, and the system comprises a cloud layer, an edge layer and an end side layer. The method comprises the following steps: completing circling and filing examination and approval of a speed limit area in a cloud layer, and generating a speed limit block; legality verification and distribution of the speed limit block are completed in a first preset time at the edge layer; and receiving the speed limit block at an end side layer, completing speed limit switching within a second preset time, reporting an execution evidence packet, managing the parallel driving dynamic speed based on a three-level speed limit chain of a cloud layer, an edge layer and the end side layer, and realizing minute-level configuration, effectiveness and audit closed loop of speed limit in an operation area.

Machine with: a motor (30), a rotor (24) which is configured to engage and disengage from the motor (30), a multitude of components, each operatively connected to the motor (30) to receive power from the motor (30) in order to perform a corresponding function of the machine, a large number of control switches (86 - 108), each corresponding to one of the functions performed by the large number of components of the machine and configured to provide a control signal according to an actuation status of the corresponding function, and a control unit (52) which is operatively connected to the motor (30) and the multitude of control switches (86 - 108), the control unit (52) is configured as follows: to allow the motor (30) to idle at a current idle speed corresponding to a current combination of active functions of the plurality of components based on the actuation states of the plurality of control switches (86 - 108) when the motor (30) is not engaged to drive the machine, to determine a new combination of active functions of the multitude of components based on the actuation states of the multitude of control switches (86 - 108) responding to the occurrence of a triggering event, to compare the new combination of active functions with the current combination of active functions, to set the current idle engine speed equal to a new idle engine speed corresponding to the new combination of active functions of the multitude of components, and to allow the engine (30) to idle at the new idle engine speed, responding to the determination that the new combination of active functions is not equal to the current combination of active functions and to store a machine function requirement table (160) with a motor power requirement value assigned to each function performed by one of the plurality of components, and to store a motor speed lookup table (162) with no-load motor speeds required to supply power for combinations of active functions that can be commanded by the plurality of control switches (86 - 108), wherein configuring the control unit (52) to compare the new combination of active functions with the current combination of active functions includes further configuring the control unit (52): to calculate a new sum of the active functions by summing the motor power requirement values ​​from the machine function requirement table (160) for the active functions of the new combination of active functions, and to compare the new sum of active functions with a current sum of active functions, where the current sum of active functions is equal to the sum of the motor power requirement values ​​from the machine function requirement table (160) for the active functions of the current combination of active functions, and wherein configuring the control unit (52) to allow the engine (30) to idle at the new idle engine speed includes further configuring the control unit (52): responding to the determination that the new sum of active functions is lower than the current sum of active functions, to initiate an initial delay period, to determine a first delay sum of the active functions after the first delay period has elapsed, wherein the first delay sum of the active functions is equal to the sum of the motor power requirement values ​​from the machine function requirement table (160) for the active functions after the first delay period has elapsed, and to let the engine (30) idle at the new idle speed without waiting for a second delay period responding to the determination that the first delay sum of the active functions is not less than the new sum of the active functions.

The present invention provides a bus speed management method, device, electronic device, and storage medium. The bus speed management method includes: obtaining a target feature dataset of a current bus when it arrives at a current location, the target feature dataset representing at least the congestion of the road ahead of the current location and the number of people waiting at the next stop; determining an appropriate driving speed that matches the target feature dataset; and, based on the appropriate driving speed, instructing the current bus to travel to the next stop at the appropriate speed. The present invention can ensure that the distance between adjacent buses of different numbers on the same route is even when the road is clear, and can also avoid the drawbacks of multiple buses arriving at a certain stop at the same time or a bus not arriving for a long time. This achieves the purpose of flexibly and intelligently scheduling the driving speed of each bus of different numbers on the same route, thereby improving the efficiency and intelligence of bus speed management.

A method is provided that may include obtaining image data from vision sensors disposed onboard a vehicle. The method may include determining a stopping distance of the vehicle based at least in part on the image data using an artificial intelligence (AI) neural network having artificial neurons arranged in layers and connected with each other by connections. A moving speed and a speed limit of the vehicle may be determined using the AI neural network. The method may control movement of the vehicle using the AI neural network by enforcing movement authorities preventing unwarranted movement of the vehicle based on a difference between the moving speed and the speed limit. The method may include receiving feedback regarding the stopping distance and the speed limit calculated by the artificial neurons and training the AI neural network by changing connections between the artificial neurons based on the feedback received.

The invention discloses an expressway low-speed governance method and system, and belongs to the technical field of traffic safety management and control. The system comprises a data acquisition module for acquiring license plates, real-time average speed of a road, traffic flow data, road speed limit information and real-time speed of vehicles on an expressway, and recording the speed, timestamps and position information of the vehicles in real time; the analysis and decision module is used for comparing the real-time speed of the vehicle, the specified lowest speed limit of the road and the average speed of the current road; identifying low-speed vehicles, recording the low-speed vehicles in a suspicious vehicle cache table, and performing continuous tracking and behavior analysis; an execution and feedback module; an LED display screen is arranged at the position 100-500 m in front of the speed measuring point of the low-speed vehicle, and guidance information is issued according to the type of the vehicle and the lane where the vehicle is located: the truck is reminded to run according to the specified lane; and for small vehicles occupying the fast lane, reminding the small vehicles of increasing the speed to 100 kilometers per hour or above or driving the small vehicles into the slow lane on the right side.

The present invention relates to the field of vehicle control and management, and discloses a vehicle speeding management method and system based on multimodal fusion. The method comprises the following steps: monitoring traffic flow on the main roads of a construction site, recording speeding vehicles, and implementing speeding management on the construction site vehicle management system by combining a multimodal data fusion analysis method. Compared to single-modal recognition technology, multimodal fusion technology can fully utilize the complementarity and redundancy between different modal data to improve the accuracy and comprehensiveness of information expression. Furthermore, the technology can adapt to different environments and scenarios, demonstrating greater adaptability and flexibility.

The application discloses a control method for enhancing the formation strength of a CAV vehicle team in a mixed traffic flow under vehicle-road cooperation, and the method comprises the following steps: determining a vehicle to be formed and a target team according to the method; obtaining driving information and road environment information of all vehicles within the communication radius range of the target team and the vehicle to be formed through the interaction between a roadside unit and a vehicle communication unit, and exchanging the obtained information through inter-vehicle communication; controlling the vehicle to be formed or the team to drive to a formation area according to the obtained information, and realizing speed cooperation through a speed management module, so that the rear vehicle of the target team slows down to expand a gap, and the vehicle to be formed or the team is sequentially controlled to be formed into the target team from the rear when the widened gap is sufficient to meet the time and space conditions for the safe formation of the vehicle to be formed. The control method can reduce the interference of surrounding other vehicles on the CAV vehicle or small CAV team in the mixed traffic flow, safely and efficiently form the CAV team, enhance the formation strength of the CAV team, and improve the road traffic capacity.

The invention discloses an intelligent high-speed comprehensive management and control method and management and control platform based on intelligent agent dynamic division, and relates to the technical field of high-speed management and control. Comprising the following steps: S1, acquiring data; s2, intelligent agent division; s3, generating a strategy; s4, carrying out strategy matching; and S5, executing the instruction. According to the invention, the problems of information isolated island, response lag, single management and control means and the like in the existing expressway management and control are solved, and the operation efficiency, the safety level and the service capability of the expressway are remarkably improved.

The invention provides a high-speed ETC (Electronic Toll Collection) door frame vehicle speed and flow coupling characteristic abnormity judgment method, and belongs to the technical field of high-speed management. Comprising the steps of data acquisition and preprocessing, two-dimensional index calculation, congestion and congestion level judgment, comprehensive level evaluation, multi-mode anomaly judgment and early warning information generation and output. According to the method, the comprehensive level can be obtained according to the congestion level and the congestion level, judgment is carried out not only depending on the flow or speed single dimension, the judgment accuracy is improved, and by setting the weather coefficient in the special scene such as the rain and snow weather, the situation that the safe low speed is misjudged as congestion in the special scene such as the rain and snow weather can be avoided; or the high flow of the unblocked road section is misjudged to be crowded, false alarm and missing alarm are prevented, and the authenticity can be improved.

The invention relates to a vehicle speed control method, device, equipment and system and a vehicle management system. Relates to a vehicle control technology, and solves the problem of lack of a mechanism for managing the speed of different engineering vehicles. The method comprises the following steps: in a vehicle moving process, obtaining speed limit information from a self-discovered electronic tag; intercepting a pedal signal generated by a pedal of the vehicle; and generating a speed control signal according to the speed limiting information and sending the speed control signal to a vehicle controller of the vehicle. The technical scheme provided by the invention is suitable for regional vehicle speed management, and an efficient and reliable engineering vehicle speed limiting scheme is realized.

The invention discloses an intelligent monitoring and early warning management and control system for high-speed combined service linkage, and relates to the technical field of AI research. Comprising a data processing and early warning module and an information acquisition and interaction module, images, positions and equipment motion state information are acquired in real time through mobile terminal equipment, bidirectional information interaction with background management equipment is realized, and timeliness and comprehensiveness of information transmission are guaranteed; the data processing and early warning module can accurately identify abnormal conditions of highway conditions, on-duty force distribution and equipment operation through multi-dimensional data fusion and abnormality analysis of positions, images and equipment states, and can also adjust weight coefficients according to actual requirements to realize graded early warning; the overall system comprehensively improves the management efficiency and the emergency response capability of highway joint service linkage, can timely find and deal with various problems, effectively guarantees the smoothness of a highway network and the travel safety, and promotes the intelligent and refined development of highway management.

An ecological speed management method based on dynamic programming. The present invention belongs to the technical field of vehicle speed management, and specifically relates to an ecological speed management method based on dynamic programming. The purpose of the present invention is to reduce vehicle fuel consumption while ensuring efficiency and safety, and to propose an ecological speed management method based on dynamic programming. The specific process of an ecological speed management method based on dynamic programming is as follows: Step 1, collect vehicle driving trajectory data and vehicle fuel consumption data, process the collected vehicle driving trajectory data and vehicle fuel consumption data to obtain processed data; Step 2, based on the processed data, establish a vehicle operation transient fuel consumption estimation model based on the multivariate regression method; Step 3, construct an ecological speed management model based on the model of Step 2, use the dynamic programming algorithm to solve the ecological speed management model, and obtain a speed plan.

The invention discloses an all-terrain vehicle and a vehicle speed management method thereof. The all-terrain vehicle comprises a vehicle door and a safety belt. The all-terrain vehicle further comprises a multimedia interaction module, a vehicle door detection module, a safety belt detection module and a control module and can be used for setting a driving threshold value of the all-terrain vehicle, and the control module can obtain a first vehicle speed threshold value set by the multimedia interaction module; when the safety belt is in an unfastened state, the control module can obtain a second vehicle speed threshold value; when the vehicle door is in an unclosed state, the control module can obtain a third vehicle speed threshold value; the control module can judge the size of the obtained first vehicle speed threshold value, the second vehicle speed threshold value and the third vehicle speed threshold value and set the threshold value with the minimum speed as the highest speed limit of the all-terrain vehicle. The vehicle speed of the all-terrain vehicle can be managed through setting, meanwhile, the maximum vehicle speed of the all-terrain vehicle during driving can be managed in combination with the safety state of the all-terrain vehicle, and the safety of the all-terrain vehicle is further improved.