372 results about "Rescue vehicle" patented technology

The invention is applicable to the technical field of emergency rescue, and relates to an optimal path planning method based on a fire rescue road network directed graph, which comprises the following steps: reconstructing the road network directed graph according to a road priority principle by using multi-source data such as an open street map road network, road conditions, survey data, real-time road conditions and the like and fusing remote sensing image data; on the basis, based on a dynamic weight model, an optimal path planning algorithm based on a fire rescue road network directed graph is further constructed. The application of the method can effectively make up for the deficiency of online map path planning used in the existing research, so that the path planning better fits the path planning requirement in a real fire rescue scene, and the driving path of fire rescue can be accurately calculated, so that the path is more reasonably planned, and the efficiency of fire rescue is improved.

The invention discloses a safe operation system and a safe operation method of a space-ground integrated rescue vehicle, which are used for the rescue vehicle working in a complex disaster environment and ensure stable and reliable two-way communication connection between the rescue vehicle and a command center by establishing an intelligent switching mechanism of a low-orbit satellite main link and a ground network standby link. Real-time transmission of key instructions and field information is guaranteed, and a foundation is laid for safe operation. Advanced risk early warning is achieved through a space-ground cooperation mechanism, dynamic decision making and path planning are carried out by integrating satellite information and local sensor data, and the global adaptive capacity of the rescue vehicle to the complex disaster environment is improved. Satellite pre-sensing information is combined with a local decision, and a pre-control instruction is generated to act on a drive-by-wire chassis, so that the rescue vehicle can smoothly deal with hidden or developmental risks in advance, and the driving safety and stability are improved.

The invention discloses a simulation method for urban flood emergency rescue path planning, and the method comprises the steps: carrying out the modeling of an urban road network based on an urban topographic map, rainfall data, existing water distribution and key position information; mIKE simulation software is used for establishing a hydrodynamic model to simulate the rainfall and flood spreading process of the city, and flood dynamic information, including the depth and flow velocity of the flood, at each position point in the flood disaster scene model is obtained; respectively constructing objective functions according to the shortest maximum time of arrival of the disaster relief point, the lowest driving risk of the rescue vehicle and the shortest total weighted rescue time; setting constraint conditions to ensure that all disaster relief points are covered, and preventing vehicles from being excessively distributed; based on the flood dynamic information, the objective function and the constraint condition, adopting an NSGA-II non-dominated sorting genetic algorithm to solve a Pareto solution set; and performing weighted analysis on a result in the Pareto solution set to obtain an optimal solution, and outputting an urban flood emergency rescue path plan.

An aquatic rescue vehicle formed by adding directional and speed controls to a watercraft along with an autonomous control system to guide the vehicle to specified waypoints is disclosed. The rescue vehicle includes search devices such as a radio direction finder (RDF) and an infrared sensor (or camera) to be used to narrow the search for an isolated person (IP). The rescue vehicle may be discharged from a larger watercraft or an airplane and autonomously set out on its rescue mission. The vehicle may first navigate to a designated waypoint near an IP, and then use signals gathered from the RDF and infrared sensor to finally locate, assist, and retrieve the IP. The vehicle also includes a self-righting mechanism so that the vehicle can complete its mission even under the most adverse conditions.

The present application relates to the technical field of intelligent traffic control, and particularly relates to a rescue emergency light linkage control method combined with a vehicle system, comprising: S1: environment perception, collecting road topological structure, potential congestion obstacle distribution, visibility level and vehicle density value in real time through the vehicle system of a rescue vehicle; S2: dynamic decision, generating an emergency light control instruction based on the output of S1; S3: multi-vehicle linkage, predicting a future path based on the position and historical trajectory of the rescue vehicle, and broadcasting a V2X instruction containing real-time coordinates, path vector and avoidance direction identifier to vehicles within a preset radius; S4: closed-loop execution, issuing the instruction of S2 to a light control unit, and capturing an actual flashing sequence through a camera for time domain matching verification, and triggering instruction retransmission when the matching degree is lower than a reliability threshold. The method not only improves traffic safety and rescue efficiency, but also enhances the intelligence and reliability of the system, and adapts to modern rescue needs.

The invention belongs to the field of intelligent traffic, discloses an emergency vehicle priority and queuing optimization cooperative control method, and solves the problem of cooperation of emergency priority and social vehicle dispersion at a peak-saturated intersection. The method comprises the following steps: constructing a road network model containing a center intersection and four peripheral intersections, and collecting multi-source traffic data; a data set is established after preprocessing, and an LSTM-Transform double-branch model is trained to predict queuing and emergency tracks; constructing an intelligent agent based on PPO, and combining segmented reward training; and deploying an output signal decision. According to the invention, emergency low delay is guaranteed, social vehicle queuing is optimized, peak intersection efficiency is improved, and the method is suitable for high-saturation scenes; according to the method, the social vehicle congestion is effectively relieved while the rescue vehicles are guaranteed to pass preferentially, and the overall operation efficiency and the emergency response capability of the intersection in the complex traffic environment are remarkably improved.

The invention discloses an expressway accident collaborative scheduling optimization method. The method comprises the following steps: S10, determining rescue vehicle configuration and a vehicle operation sequence of each accident point; s21, determining a problem optimization target and a constraint condition; s22, defining a set, parameters and decision variables related to the problem; s23, constructing a mathematical model; s31, coding design and evaluation of the solution; s32, designing a plurality of destruction operators; s33, designing a plurality of repair operators; and S34, designing a plurality of adaptive mechanisms. According to the method, a scheduling optimization model fusing multi-type accident characteristics and collaborative operation constraints is constructed by taking minimization of the overall accident response time as a core target, and the optimization model is solved by adopting an improved adaptive large neighborhood search algorithm.

The invention discloses a navigation method, device and equipment for a rescue scene and a computer program product. The method comprises the following steps: acquiring an initial path planning result and multi-dimensional path optimization information of a rescue vehicle; the initial path planning result is optimized according to the multi-dimensional path optimization information, and driving of the rescue vehicle is controlled according to the optimized path; real-time traffic information is obtained through V2X communication, so that auxiliary reminding information is generated, and whole-road-section auxiliary reminding is carried out; and when the navigation auxiliary condition is met, acquiring navigation auxiliary information through the intelligent wearable device so as to carry out auxiliary navigation on a special road section. According to the invention, path optimization is carried out by using the multi-dimensional path optimization information, and a more reasonable and efficient driving path is planned for the rescue vehicle. And external information is acquired by means of V2X communication, and all-road-section auxiliary reminding is carried out, so that the driving safety and the passing efficiency are improved. And navigation auxiliary information is provided through the intelligent wearable device in a special road section, so that the rescue capability in a complex scene is further improved.

The invention provides a multi-source information fusion system and method for intelligent scheduling of road rescue. The method comprises the following steps: determining an optimal rescue path corresponding to each rescue service point; for an optimal rescue path corresponding to any rescue service point, acquiring a rescue return path corresponding to the optimal rescue path, and determining path traffic influence characteristics corresponding to each path section in the rescue return path according to rescue vehicle information of the rescue service point and path driving information of the rescue return path; acquiring a rescue service type, performing traffic influence prediction according to the rescue service type and the path traffic influence characteristics, and determining a secondary accident rate of a rescue return path; and according to the secondary accident rate, rescue service intelligent scheduling is carried out on the to-be-rescued vehicle, secondary accident rate prediction can be carried out according to the traffic influence condition of the rescue return path, intelligent scheduling of different rescue service points is carried out, and the secondary accident risk in the rescue process is reduced.

The invention provides an intelligent management system and management method for a rescue vehicle, and the system comprises a vehicle-mounted intelligent terminal which is used for obtaining the real-time data of the rescue vehicle, and the real-time data comprises the position data of the rescue vehicle and the stock data of materials in the vehicle; the management terminal is used for acquiring and analyzing a preset first-aid task to determine a task site and a material demand, and respectively matching the task site with the position data of each rescue carriage and the material demand with the stock data of each rescue carriage to obtain one or more rescue carriage distribution schemes of the first-aid task; and selecting and executing a rescue carriage distribution scheme. According to the scheme, the vehicle-mounted intelligent terminal and the management terminal are integrated, so that efficient management and optimal scheduling of real-time data of the rescue vehicle are realized, and each emergency task can be fully supported and guaranteed.

The invention discloses a comprehensive method for rapidly extinguishing a building fire, and relates to the technical field of urban fire fighting, and the method comprises the following specific steps: 1, building a fire headquarters, selecting a corresponding fire fighting scheme according to a fire state and a field condition, and implementing the scheme; 2, a fire rescue vehicle and firefighters are adopted for cooperative operation on a low-floor fire scene, and large-water-volume spraying full-coverage fire source type fire extinguishing operation is carried out; and thirdly, for a high-floor fire scene, an unmanned aerial vehicle set and firemen are adopted for cooperative operation, fire extinguishing operation is conducted in the mode that a large amount of water is sprayed to completely cover a fire source, unmanned aerial vehicles with the cargo capacity level of 300 kg are adopted, and the number of relay water conveying pipe carrying unmanned aerial vehicles is determined according to the position of a fire floor. According to the comprehensive method for rapidly putting out the building fire, a traditional low-efficiency fire extinguishing mode through a direct spraying pipe is thoroughly changed, particularly, firefighters manually put out fire, several persons carry one water pipe to put out fire cooperatively originally, and the freedom degree and safety of fire extinguishing operation of the firefighters are greatly improved.

The invention discloses an intelligent traffic emergency resource dynamic scheduling system based on flow prediction, which relates to the technical field of intelligent traffic scheduling and comprises a traffic data acquisition module, an integrated radar, a video monitor, a coil detector and a floating car GPS, 5G transmission, acquisition of traffic flow, vehicle speed and the like within 20ms and detection of abnormity within 3s; the traffic prediction module is used for predicting 1-4-hour traffic and updating parameters in 30 minutes based on 72-hour data and a fusion model; the emergency resource library module is used for storing rescue vehicle, personnel and material information and updating the state within one minute; the dynamic scheduling module is used for generating a scheme containing a route and arrival time within 30 seconds; the monitoring module is executed, resources are tracked, secondary scheduling is carried out when the deviation exceeds 10 minutes, and recording is carried out for more than 3 years. The traffic prediction accuracy and the resource matching degree are improved, the path is optimized, delay is reduced, cross-regional scheduling is supported, the emergency efficiency and the resource utilization rate are improved, and the accident influence is reduced.

The invention relates to the technical field of data archiving, in particular to an intelligent rescue carriage emergency record archiving system. The system comprises a rescue carriage pre-first-aid self-checking module, an emergency field checking and filing module, an on-transit emergency risk updating module and a department emergency task ending and filing module. Communication electric quantity corresponding to various types of intelligent medical equipment in the intelligent rescue carriage and data storage residual capacity corresponding to a data processing terminal can be obtained, and pre-first-aid self-inspection processing is carried out, so that the intelligent equipment complete rescue carriage is generated; intelligent medical equipment is started at a first-aid site to monitor emergency physiological information of a first-aid patient in real time, basic information of the patient and symptom information of the first-aid site are input for emergency checking and preliminary filing, and meanwhile emergency physiological update information corresponding to the patient is continuously monitored on the way for emergency risk update processing and emergency record automatic filing; and generating a patient archived electronic medical record of the emergency task. According to the invention, the information record in the medical first-aid process can be optimized.

The invention discloses a rescue carriage stacked article counting method based on visual identification, a camera is installed above a drawer of a rescue carriage, the camera is used for acquiring a picture in the pulled drawer, and the method comprises the steps of image acquisition; preprocessing the image; detecting a medicine box target; calculating the stacking thickness of the medicines; carrying out lamination separation and counting: carrying out pixel-level segmentation on each layer of medicine boxes by adopting Mask R-CNN (Region Convolutional Neural Network) instance segmentation; a layer gap is optimized through corrosion expansion operation by means of morphological operation, and adjacent medicine boxes are separated; and carrying out weighted fusion on the detection frames for target detection, depth estimation and instance segmentation to obtain the number of fused drugs. According to the invention, the camera is used for collecting the images of the stacked medicines, the real-time dynamic counting of the stacked medicines is realized through the target detection algorithm and depth estimation, and the reliability of medicine management in an emergency scene is improved.

The utility model relates to the technical field of ad hoc network communication, in particular to an explosion-proof rescue ad hoc network topological structure based on a Mesh network. The ad hoc network topological structure comprises a vehicle-mounted end arranged on a rescue vehicle and a remote end arranged in a safe area. And the vehicle-mounted end is in communication connection with the remote end through a Mesh link. The vehicle-mounted terminal comprises an explosion-proof box, a first switch and a first Mesh module. The first switch is in communication connection with the first Mesh module, and the first switch and the first Mesh module are arranged in the explosion-proof box. The remote end at least comprises an upper computer and a second Mesh module; and the upper computer is in communication connection with the second Mesh module. The first Mesh module is in communication connection with the second Mesh module, so that a Mesh link is formed between a rescue vehicle located in a rescue operation area and an upper computer used for remote control, and the data transmission requirement and the communication distance requirement of wireless communication of rescue equipment executing blowout rescue tasks are met. Therefore, an operator can remotely operate the rescue vehicle to complete rescue operation through the upper computer.

The invention provides a vehicle electric quantity automatic rescue method, a server, a medium and a product, and relates to the technical field of vehicle automatic rescue. The method comprises the steps that after an electric quantity supply request of a to-be-rescued vehicle is received, to-be-charged information, vehicle information and target positioning information of the to-be-rescued vehicle are acquired; according to a user selection result, determining candidate stations of an automatic charging station, selecting a target station with the shortest actual driving route or duration from the candidate stations, and determining a dispatched automatic charging vehicle according to related information; when the automatic charging vehicle arrives at the target positioning information setting range, requesting to turn on a charging port switch from the user side, and meanwhile, controlling the automatic charging vehicle to scan the vehicle to be rescued to obtain a current visual image, and matching the current visual image with the vehicle overall image to plan a charging driving path; and the automatic charging vehicle is controlled to reach the safe charging area according to the path, and charging is started after electric connection is completed. By implementing the method, the rescue efficiency is improved, the manual scheduling cost is reduced, and high efficiency and intelligence of vehicle rescue service are finally realized.

The utility model discloses a fire extinguishing device of an emergency rescue vehicle, which comprises a hoisting body and a fire extinguishing device, the hoisting body comprises a telescopic arm, the telescopic arm is provided with an outer pipe, a middle pipe and an inner pipe, the outer pipe, the middle pipe and the inner pipe are in sliding connection, the middle pipe can extend out of the outer pipe, and the inner pipe can extend out of the middle pipe; the connecting pipe is arranged in the inner pipe, the connecting pipe extends in the length direction of the inner pipe, and when the telescopic arm is lifted, the lower end of the connecting pipe is a first connector, and the upper end of the connecting pipe is a second connector; the water hose is used for conveying high-pressure fire extinguishing liquid, a first connector is arranged at the water outlet end of the water hose, and the first connector is connected with the first connector; and the fire extinguishing gun is used for outputting high-pressure fire extinguishing liquid, the water inlet end of the fire extinguishing gun is provided with a second connector, and the second connector is connected with the second connector. The fire extinguishing device is simple in structure, capable of being quickly mounted and dismounted, small in occupied space and suitable for fire extinguishing work of low-floor buildings.

The invention relates to the technical field of rescue vehicles, in particular to an intelligent multifunctional rescue vehicle which comprises an intelligent rescue vehicle base, a plurality of sets of rescue article storage units stacked up and down, a control unit, three sets of telescopic assemblies, double side plates, limiting assemblies and the like. The storage units are driven to be vertically and uniformly separated through the shear fork type cross pieces, so that multiple groups of materials are synchronously taken and used; when the first telescopic assembly operates, the second telescopic assembly is synchronously triggered, a first side plate is pushed to turn over to form screen type shielding, after resetting, the side plate covers the telescopic assemblies to achieve protection, a limiting assembly provides guidance for the storage unit through a stand column, a storage frame is provided with a drawing magnetic drawer, and stable and flexible taking and using are both considered. The third telescopic assembly enables the first side plate to drive the second side plate to be reversely and synchronously unfolded through gear meshing and connecting rod transmission, the shielding range is expanded, and folding does not occupy space.

The utility model discloses a railway vehicle braking system and a railway vehicle. A main pipe of the railway vehicle braking system is provided with a rescue entrance; the main pipe is communicated with an input port of the pressure valve; an output port of the pressure valve is communicated with an input port of the brake; the main pipe is communicated with an input port of the pedal valve, an output port of the pedal valve is communicated with an input port of the switch valve, and the output port of the switch valve and the rescue pressure regulating pipe can selectively convey fluid to a pressure regulating port of the pressure valve to regulate the pressure of the fluid flowing from the input port of the pressure valve to the output port of the pressure valve. The railway vehicle can be normally braked, and the braking force for normally braking the railway vehicle can be synchronously adjusted; rescue braking can be carried out on the railway vehicle, and the braking force for rescue braking of the railway vehicle can be synchronously adjusted; even if the pedal valve of the rail vehicle is operated by mistake, the rescue vehicle is not influenced to control the rail vehicle to carry out rescue driving or rescue braking.

The invention discloses an urban fire early warning reaction system based on the Internet of Things and edge computing, and relates to the technical field of urban fire rescue. The first edge computing node is responsible for extracting fire data and judging whether fire rescue power is sufficient or not, the fire range, position and level can be rapidly recognized, and therefore an accurate basis is provided for configuration of the rescue power; the edge computing node II can plan a fire rescue path and screen an optimal path according to the traffic data to ensure that the fire rescue force can reach the fire scene at the fastest speed; most importantly, the path with the highest smoothness coefficient can be identified by analyzing the road image and the predicted passing time, and weighted evaluation is carried out by combining the predicted passing time of each path section, so that the fire rescue path with the highest passing efficiency is selected, the real-time traffic condition of the road is considered, and the traffic efficiency of the fire rescue path is improved. The arrival time of the fire rescue force is optimized, and the rescue vehicle can arrive at the fire scene at the fastest speed.

The invention relates to the technical field of lamps, and discloses a high-strength emergency lighting lamp of a railway emergency rescue vehicle. Through the protection and unlocking linkage design, the outer cover completely wraps the searchlight in the non-working process, dust and rainwater can be isolated, the adjusting roller is driven in the starting process, rapid unlocking and separation are achieved through linkage of the jacking groove and the sliding rod, manual disassembly is not needed, and safety and emergency response efficiency are both considered; meanwhile, the motion conversion of the pitching angle is completed by extruding the combined frame through the outer cover slope; a horizontal angle depends on a rotating structure of the bracket and the guide ring to realize large-range rotation and stable locking, and the two are combined to eliminate an illumination blind area and cover a complex rescue scene; mechanical linkage and cooperation of an elastic component are adopted integrally, the fault risk of electronic components is reduced, stable and reliable operation is guaranteed through a sliding component and a locking mechanism, the device adapts to severe environments, and the adjusting precision can still be kept after long-term use.

The invention discloses a community emergency rescue remote authorization method and system based on a BIM technology, relates to the technical field of BIM positioning, and solves the problem that function modules, such as route planning, authorization management and information transmission, of a traditional community emergency rescue system are operated independently and lack collaborative linkage. According to the method, a rescue starting point (dispatching a target building B) and a terminal point (associated building A) are accurately locked through a BIM model, a road sequence is disassembled in combination with cloud map big data, then the total duration of a route is calculated in a mode of calibrating the congestion condition section by section, and finally the optimal route with the shortest consumed time is selected; compared with a traditional way of selecting routes depending on artificial experience and ignoring real-time congestion, the method can avoid route deviation caused by fuzzy positions, can dynamically adapt to road conditions, and greatly reduces the risk of delay of rescue vehicles.

The utility model provides a super-high-altitude fire-fighting and fire-extinguishing rescue vehicle, which relates to the technical field of fire-fighting equipment, and mainly comprises a fire-fighting truck body, a cantilever crane, a fire-fighting water connecting pipe and a fire-fighting water spray gun, the cantilever crane comprises a plurality of cantilever crane units which are rotatably connected, and is used for meeting the requirements of super-high-altitude fire-fighting and fire-extinguishing rescue. One end of the fire-fighting water connecting pipe is arranged on the fire-fighting truck body, the other end of the fire-fighting water connecting pipe is provided with a fire-fighting water spray gun, the fire-fighting water connecting pipe extends along the extension direction of the arm support, and the tail end of the fire-fighting water connecting pipe is connected and communicated with the fire-fighting water spray gun. And the arm support is further provided with a fire-fighting water connecting pipe rotating along with the arm support unit, the length of the fire-fighting water connecting pipe also meets the length of super high-rise fire fighting and fire extinguishing rescue, and the defect that in the prior art, the spraying height is limited due to the pure combination of a fire fighting truck and a fire gun is overcome.

A routing optimization method for truck-drone integrated rescue vehicles in forest firefighting includes the following steps: collecting the data of the disaster sites caused by forest fires, calculating transportation time on road and flight time according to the data of the disaster sites, and getting the transportation time data of post-disaster relief; based on the disaster site data, transportation time data, and an amount of relief supplies that can be allocated to disaster relief sites, constructing a mathematical model of the truck-drone based vehicle routing problem; solving the mathematical model of the truck-drone based vehicle routing problem by the optimization algorithm, and specifying a post-disaster rescue route of the truck-drone integrated rescue vehicle according to the solution results. The model based on the truck-drone based vehicle routing problem method can reduce the impact of sudden natural disasters, and give full play to the advantages of truck-drone integrated rescue vehicles.

The invention discloses a mooring unmanned aerial vehicle quick reverse rescue vehicle, and relates to the technical field of fire fighting equipment, the mooring unmanned aerial vehicle quick reverse rescue vehicle comprises a foam amount control device, a fire fighting unmanned aerial vehicle and a rescue vehicle main body, the rescue vehicle main body is provided with a carriage, the top of the carriage is provided with an unmanned aerial vehicle hangar, and a mounting space is formed between the unmanned aerial vehicle hangar and the carriage; the foam amount control device is fixedly arranged in the mounting space, and a mooring box is arranged in the mounting space; the unmanned aerial vehicle hangar comprises a hangar body and a rear cover plate, the bottom of the hangar body is fixedly connected with the top of the compartment, an unmanned aerial vehicle parking space is arranged in the unmanned aerial vehicle hangar, the fire-fighting unmanned aerial vehicle is arranged in the unmanned aerial vehicle parking space, and the rear cover plate is arranged at the rear end of the hangar body and used for sealing the unmanned aerial vehicle parking space. The problems that when an existing unmanned aerial vehicle foam fire extinguishing device is used, transportation is inconvenient, the field assembly process is complex, and fire extinguishing cannot be effectively conducted in time are solved.

The invention discloses a smart city resource management method and system based on data sharing, and belongs to the technical field of resource management. Acquiring position information of a road rescue base station and road rescue position information of a rescue vehicle; constructing a farthest rescue distance; constructing a circle by taking the farthest rescue distance as a radius and the position information of the road rescue base station as a circle center, taking the boundary of the circle as a one-dimensional closed chain, calculating a chain type dynamic change coefficient of the one-dimensional closed chain in adjacent periods, judging whether chain type diffusion occurs or not, and if so, calculating a rescue range overlapping index; and presetting a rescue range overlapping index threshold value, analyzing and carrying out resource regulation and control. The farthest action range of the rescue vehicle is accurately obtained, and the change trend of the rescue vehicle is calculated and monitored, so that the use efficiency of resources is improved, the automation and intelligence levels of the smart city road rescue system are greatly improved, and powerful support is provided for city traffic safety management.

The application discloses a rescue sub-car, a rescue mother car and a rapid rescue method of a rail train, and belongs to the technical field of emergency rescue of urban rail transit; the method comprises the following steps: derailment accident feedback: after the train derails and stops urgently, the vehicle automatically alarms the emergency rescue system to feed back the real-time situation of the derailed train; rescue vehicle emergency response: the emergency rescue system sends an instruction to a maintenance center, the rescue mother car carries multiple rescue sub-cars and rescue personnel to the nearest station of the train, the rescue sub-car travels to the platform and enters the track area; rescue sub-car wheel group conversion: the rescue sub-car is converted from a common pneumatic tire into a rubber-coated steel wheel matched with the track, and the rescue sub-car can travel along the track rapidly; classified rescue: multiple rescue sub-cars are respectively loaded with rail repositioners for coping with different derailment degrees, and cooperate to handle the train derailment accident. The application can reduce the labor intensity of rescue personnel and improve rescue efficiency.

The present invention relates to the technical field of intelligent transportation systems and discloses a method and system for coordinated control of hard-shoulder driving and variable speed limits. The method comprises collecting traffic data, including traffic information and speed limits; determining whether a connected autonomous vehicle can use the hard-shoulder lane based on the vehicle's motivation for using the hard-shoulder lane, safety requirements, and emergency or rescue vehicle needs; inputting the collected traffic data into a pre-built DDPG algorithm to determine the DDPG algorithm's state, action space, and reward function, and outputting an optimal speed limit; generating an optimal speed limit for each lane in the controlled section using the DDPG algorithm, and the connected autonomous vehicle adjusting its speed based on the optimal speed limit. The present invention can be used on heavily congested highway on-ramp sections, reducing average travel time and carbon dioxide emissions across the road network, providing a new approach to achieving my country's goal of high efficiency and low carbon emissions for smart highways.

The invention provides a rescue vehicle dynamic path optimization method based on an improved rolling time domain. The method comprises the following steps: carrying out real-time statistics on rescue node information in the operation time of a rescue distribution center; determining a target function according to the obtained node number and the coordinate information of the nodes, and constraining and initializing algorithm parameters; wherein the objective function is the minimum value of the sum of the vehicle transportation cost, the total delay of the start service time of the node with the time window exceeding the right time window and the number of the node transportation time exceeding the specified time limit; dividing the operation time of the rescue distribution center into a plurality of time domains, and obtaining an optimal path and optimization cost by real-time rescue node information in each time domain through a simulated annealing algorithm; and calculating the total time length cost, and summarizing the optimal path of the total time domain time length. According to the method, the response speed of the rescue vehicle can be increased, the delay of the rescue vehicle is reduced, meanwhile, prediction errors can be corrected through continuously rolling windows, and the robustness of the path is improved.

The utility model belongs to the technical field of shuttle vehicle rescue, and particularly relates to a shuttle vehicle rescue device which comprises a fault vehicle and a rescue vehicle, and a traction assembly is arranged between the fault vehicle and the rescue vehicle. The traction assembly comprises a screw cylinder, one end of the screw cylinder is movably connected with a connecting rod, a screw rod is in threaded connection with the interior of the screw cylinder, and the other end of the screw rod and the other end of the connecting rod are fixedly connected with magnetic blocks respectively. A nut is in threaded connection with the side wall of the screw and abuts against the end face of the screw cylinder. The side walls of the sides, away from each other, of the magnetic blocks on the two sides are fixedly connected with protective pads correspondingly, and the diameters of the protective pads are consistent with the diameters of the magnetic blocks. One end of the screw cylinder is fixedly connected with a hemispherical shell, one end of the connecting rod is of a spherical structure, and the connecting rod is movably connected with the hemispherical shell. The rescue vehicle and the fault vehicle are connected in a magnetic attraction mode, traction is facilitated, meanwhile, the rescue vehicle and the fault vehicle can be disconnected conveniently, and practicability is high.