4212 results about "Transport engineering" patented technology

A system and method for integrated optimization of autonomous electric vehicle fleets across transportation and electricity networks which employs artificial intelligence to dynamically allocate autonomous electric vehicles between mobility services and electricity grid services based on real-time conditions. The platform acquires data including energy mix forecasts, earth observation measurements, vehicle owner schedules, and emission-based route penalties to generate coordinated allocation decisions. Vehicle owners specify availability through a scheduling interface. The system optimizes vehicle utilization through a hierarchical optimization approach implementing mobility demand-side flexibility and electricity demand-side flexibility simultaneously. Multi-objective genetic algorithm optimization balances revenue generation, energy costs, emissions reduction, and battery health. The integrated approach maximizes value creation across both transportation and energy domains, reducing urban emissions while enhancing grid stability through coordinated management of distributed energy resources in autonomous electric vehicle fleets.

The invention provides a vehicle driving speed planning method and device, a vehicle, a medium and a program product, and belongs to the field of automatic driving. The vehicle driving speed planning method comprises the steps that all obstacles around a target vehicle are traversed, and the types of the obstacles are determined based on the relative position relation between the obstacles and a target vehicle driving lane; calculating a first target vehicle speed according to the obstacle type and updating a global target vehicle speed; acquiring an obstacle prediction track, and if the confidence coefficient of the prediction track meets a preset requirement, determining a collision risk point based on the prediction track and the target vehicle planning path; calculating a second target vehicle speed based on the collision risk point and updating the global target vehicle speed; and after the traversal is completed, outputting the minimum global target vehicle speed in the traversal process as the reference vehicle speed. According to the technical scheme provided by the invention, the risk assessment based on the lane relationship and the collision risk assessment based on the predicted trajectory are fused, and the driving safety and comfort of the automatic driving vehicle in a complex dynamic scene can be improved.

The invention provides a mountainous road driving assistance method and device and a vehicle, and relates to the technical field of vehicles. The method is based on a vehicle carrying an unmanned aerial vehicle. The method comprises the following steps: in response to a mountain road navigation instruction, controlling the unmanned aerial vehicle to acquire traffic information about a mountain road where the vehicle is located; constructing a three-dimensional terrain model about the mountain road according to the traffic information; and generating driving path suggestion information and / or early warning information according to vehicle positioning information and the three-dimensional terrain model. On the basis of the vehicle carrying the unmanned aerial vehicle, the traffic information of the mountain road where the vehicle is located is obtained timely and accurately, the three-dimensional terrain model about the mountain road is constructed, and the driving path suggestion information and / or early warning information are / is generated, so that active guidance and risk prompt for the driving behavior of a driver are achieved, and the driving safety of the driver is improved. And the driving safety of the vehicle on the mountainous road and the driving experience of a driver are improved.

The invention relates to the technical field of airport safety monitoring, in particular to an airport runway intrusion identification method based on an ESNB algorithm, and the method comprises the steps: constructing an airport runway intrusion data set; the method comprises the following steps: constructing an improved Inception U-Net network, and obtaining a teacher network based on the improved Inception U-Net network; based on the teacher network, obtaining an optimal student network through a multi-objective evolutionary algorithm; based on the teacher network and the airport runway intrusion data set, performing knowledge distillation on the optimal student network to obtain an ESNB network; according to the scheme, the ESNB network is deployed in an airport and is used for airport runway intrusion recognition, and the problems that existing airport runway intrusion recognition is low in efficiency and high in computing power requirement can be effectively solved.

A method and system accurately identify vehicles during transit and may be used for tracking the vehicle. Images of discrete distinguishing characteristics of a vehicle, respectively, are captured at an unmanned monitoring station. The images are collectively analyzed to produce an individualistic identifier. The individualistic identifier is correlated with data representative of a particular vehicle stored as part of a database of vehicles. Accordingly, the particular vehicle present at the monitoring station can be identified so that the vehicle can be tracked. Furthermore, key assets of the vehicle, such as the tractor, chassis, and cargo box of a truck, can be identified during the process and by the system so that they can be tracked independently of one another.

The invention discloses a port and navigation ship traffic transportation scheduling method and system based on big data, and belongs to the technical field of port and navigation traffic, and the method specifically comprises the steps: carrying out the fusion construction of a coverage channel-berth-ship coupling state space; channel microscopic features and ship dynamic response features are excavated, and a channel subsection hydrodynamic disturbance feature set and a ship control response feature set are established; generating an expected energy consumption increment and a steering wear equivalent of each ship in each channel segment based on the two feature sets, and forming a ship-channel coupling cost set; a joint scheduling parameter set is constructed by combining berth space-time constraint and a ship arrival time sequence, a berth allocation scheme and a channel passing time sequence are solved by taking channel disturbance and ship sensitivity matching as targets, and cooperative scheduling is realized. According to the method, channel characteristics and ship response characteristics are quantitatively matched, and port energy consumption and mechanical wear are reduced. Quantitative matching of channel characteristics and ship response characteristics is realized, and port energy consumption and mechanical wear are reduced.

A road construction machine in the form of a road paver or a feeder vehicle for conveying paving material to a road paver, the road construction machine being self-propelled and having a primary drive source, a hopper, at least one working unit and at least one electric consumer for heating the working unit, the road construction machine having an energy supply system with at least one electrical energy storage which can be charged by means of electric current generated outside the road construction machine and is present on the road construction machine as an internal power source for direct current supply to the electric consumer. Furthermore, the disclosure relates to the use of such an energy storage for direct current supply to an electric consumer of a road construction machine.

The invention provides a vehicle energy management method and system and a vehicle, and belongs to the technical field of vehicles, and the method comprises the steps: transmitting vehicle identification information to a cloud after the vehicle is powered on, enabling the cloud to obtain the historical driving data of the vehicle based on the vehicle identification information to obtain driving route data, and training a preset first energy management model, target model parameters are obtained, and then a target energy management model is obtained; and determining a target driving route from the plurality of historical driving routes through the application core based on the route data of the plurality of historical driving routes and the current working condition data of the vehicle, and obtaining control parameters for controlling the vehicle to drive on the target driving route based on the target energy management model and the feature data corresponding to the target driving route, and the control parameters are sent to the execution core so that the execution assembly can control the vehicle based on the control parameters. Through the method provided by the invention, the inherent defects of a traditional fixed strategy and a single deployment architecture can be overcome.

The invention relates to a truck-unmanned aerial vehicle combined transportation scheduling method and system based on a disaster relief scene in the technical field of transportation scheduling. According to the truck-unmanned aerial vehicle combined transportation scheduling method, H trucks and H unmanned aerial vehicles are used for cooperatively transporting materials, the h truck and the h unmanned aerial vehicle form a cooperative group, and the scheduling method of the h cooperative group comprises the steps that the number of rescue points and the positions of the rescue points are determined; according to the number of rescue points, the positions of the rescue points and constraint conditions, generating an initial truck path based on a greedy principle of the shortest distribution distance; generating an initial unmanned aerial vehicle path based on the initial truck path; and optimizing the initial truck path and the initial unmanned aerial vehicle path to obtain an optimal material transportation path. A truck-unmanned aerial vehicle collaborative transportation mechanism is innovatively constructed, the traditional efficiency bottleneck is broken through through a collaborative three-dimensional transportation system of transportation tools, and the emergency material delivery efficiency, reliability and timeliness in a complex catastrophe environment are remarkably improved.

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 technology disclosed herein relates to a rooftop platform to facilitate a delivery of a parcel by an aerial vehicle. The rooftop platform may comprise an elevator apparatus at least partially accessible via the rooftop platform. The rooftop platform may also comprise a rotatable turntable mounted to the rooftop platform. The rotatable turntable can be rotated to position the parcel on the elevator apparatus. The rotatable turntable may have tracks for receiving track wheels of a parcel containment unit. In some embodiments, the parcel may be positioned on the elevator apparatus at a top surface of a lift cabin of the elevator apparatus. The rooftop platform may also comprise a landing area for the aerial vehicle to deliver or receive the parcel containment unit via the rotatable turntable.

A cableway in the case of which the safety and comfort for persons during the loading and unloading of the cableway vehicles can be improved as simply and economically as possible. This aim is achieved, according to the teaching, in that at least one vehicle-fixed contact rail which extends in the direction of movement of the cableway vehicle is arranged on the conveying body, and in that at least one guiding portion having at least one stationary first guiding device which extends in the direction of movement of the cableway vehicle is provided in at least one cableway station, the first guiding device cooperating with the contact rail of the cableway vehicle, at least during the movement of the cableway vehicle through the guiding portion, in order to generate a guiding force, the guiding force shifting the conveying body relative to the suspension from a rest position, in which the cableway vehicle can be moved outside of the guiding portion, into a guidance position, in which the cableway vehicle can be moved through the guiding portion.

The invention relates to a park intelligent vehicle scheduling method and system, and the method comprises the steps: receiving vehicle reservation information, generating a vehicle parking space and elevator preliminary distribution scheme based on the reservation information and a current resource occupation state, carrying out the adjustment and optimization of the preliminary distribution scheme of a plurality of vehicles at a preset scheduling moment, and obtaining an updated distribution scheme, and when the vehicle arrives at the park, the distribution result of the vehicle is corrected based on the updated distribution scheme and the real-time resource occupation state. The system comprises a scheduling server, a plurality of data acquisition terminals which are respectively arranged at the entrance of a park, parking spaces, elevators and parking spaces, and a communication module which is connected with the scheduling server and the data acquisition terminals. By implementing the scheme, the preliminary allocation scheme is calculated in combination with the reservation information and the current resource occupation state, the multi-vehicle allocation scheme is adjusted at the preset scheduling moment, and the final allocation scheme is generated based on the real-time state when the vehicles arrive, so that the capability of coping with arrival time fluctuation and temporary operation change is improved.

A method may include, at a control system, receiving a trip request specifying an origin boarding zone and a destination boarding zone, determining a path for the trip request, the path extending from the origin boarding zone and along at least a portion of a trunk lane of a roadway system, assigning the trip request to a vehicle, determining, based at least in part on a location of a parking spot where the vehicle is parked at the origin boarding zone, an estimated transit duration of the vehicle from the parking spot to an entrance to the trunk lane, selecting, based at least in part on the estimated transit duration, a moving position-target from a set of candidate moving position-targets, and causing the vehicle to travel from the parking spot to the trunk lane and travel along the portion of the trunk lane by following the selected moving position-target.

The invention discloses a low-altitude logistics vehicle-aircraft cooperative configuration and cross-region carrying matching method and system, and belongs to the technical field of low-altitude logistics. According to the method, single-region optimization-gt is adopted; multi-zone vehicle coordination-gt; and a three-level optimization process of cross-region carrying matching of the vehicle-mounted infotainment Single-area parallel optimization ensures local optimization and calculation efficiency, an optimization algorithm is adopted to solve an optimal vehicle and unmanned aerial vehicle number combination for each logistics area, a concept of virtual vehicles is innovatively proposed, and cross-area flexible sharing and optimization of vehicle resources are realized; multi-area vehicles coordinate to integrate resources at a higher level, virtual vehicle demands of a plurality of to-be-optimized areas are combined by using a clustering algorithm, and one actual vehicle meets and pursues global optimal deployment of vehicle resources through cross-area circulation; and finally, processing a refined cooperation problem through vehicle-aircraft carrying matching, dynamically evaluating the cost of the two schemes of unmanned aerial vehicle flying-away carrying and vehicle taking-back carrying for each overload area, and selecting the optimal scheme of unmanned aerial vehicle flying-away carrying and vehicle taking-back carrying.

The invention relates to the technical field of vehicle dynamic performance testing, and particularly discloses a method and a system for testing vehicle tracking recovery capability based on transverse impact. The method comprises the following steps: acquiring position information of a tested vehicle in real time in a tracking driving process of the tested vehicle on a test road; if the tested vehicle arrives at the impact triggering area, controlling a road simulation plate laid on the test road to move transversely so as to simulate an impact working condition; when a tested vehicle arrives at an impact triggering area, rear wheels of the tested vehicle are located on the road simulation board. In the transverse movement process of the road simulation board, the instantaneous yaw angle of the tested vehicle is obtained; and responding to the situation that the instantaneous yaw angle is larger than a first set threshold value for the first time, and testing the tracking recovery capability of the vehicle according to the driving performance of the tested vehicle under the control of the electronic stability system. According to the method, the technical bottlenecks of uncontrollable interference and non-quantitative data of a traditional control test are overcome, and repeatable test, controllable parameters and quantitative evaluation are realized.

The invention relates to the technical field of data processing, in particular to a multi-source data fusion method based on a railway station building and a city, which comprises the following steps: acquiring an IFC format data stream and a CityGML data stream; performing space-time correlation integration on the two types of data streams to generate a data set with engineering constraints; based on the geometric topological relation and the construction stage characteristic parameters, an improved ant colony optimization algorithm is adopted for coordinate conversion; constructing a railway component and city element mapping rule base and carrying out semantic mapping; performing multi-working-condition collision detection by adopting a parallel universe simulation algorithm based on the construction event identifier; carrying out collaborative decision analysis by adopting a hierarchical response mechanism based on conflict types and severity; a verification environment variable set is injected into a preset digital twin platform, and verification parameters are dynamically adjusted by adopting a particle swarm optimization algorithm. According to the method, the problem of multi-source data collaborative fusion of the railway station building and the city is solved, and the accuracy of data processing and the robustness of the system are improved.

The invention discloses a prediction method for the underground space development capacity of a comprehensive transportation junction, and relates to the technical field of development capacity prediction, and the method comprises the steps: carrying out the discreteness analysis of distributed transfer nodes, and positioning a transfer function space range; carrying out passenger flow data acquisition to obtain distributed peak passenger flow data; carrying out extreme transfer scene accommodation deduction to obtain peak hour passenger flow; performing functional space scale derivation, and outputting a transfer core area; mapping the transfer core area into a transfer core space topology; constructing a transfer space envelope; and positioning an underground space development range. The technical problems that in the prior art, the underground space development range of the comprehensive transportation hub is difficult to adapt to the transfer demand, the development capacity is not clear, and the development planning is lack of accuracy are solved, and the underground space development range which adapts to the transfer demand and identifies the development capacity is achieved. And the accuracy and feasibility of underground space development planning are improved.

A method for providing charging resources to one or more electric vehicles is disclosed. The method comprises a control system of an electric vehicle supply equipment, EVSE, storing a default charging profile. The default charging profile defines a first maximum amount of charging resources that the EVSE may provide to one or more electric vehicles charging with the EVSE. The method also comprises the control system of the EVSE receiving from a central control system, via a communication connection between the control system and the central control system, a charging profile. The charging profile defines a second maximum amount of charging resources that the EVSE may provide to one or more electric vehicles charging with the EVSE. The method also comprises the control system effectuating the received charging profile. This comprises causing the EVSE to provide at most the second maximum amount of charging resources to one or more electric vehicles charging with the EVSE. The method also comprises the control system determining that the communication connection between the control system and the central control system is broken and, based on this determination, the control system effectuating the default charging profile comprising causing the EVSE to provide at most the first maximum amount of charging resources to the one or more electric vehicles charging with the EVSE.

A method for virtual evaluation of on-road energy consumption of a new energy vehicle, comprising: constructing an evaluation route on the basis of cities where a vehicle is used and typical routes of said cities; generating an on-road working condition library on the basis of the evaluation route, a month, a weather condition, a road condition and a vehicle usage period; acquiring test data of the vehicle under different working conditions; determining evaluated energy consumption on the basis of the test data; determining a nominal energy consumption discrete coefficient on the basis of the evaluated energy consumption and nominal energy consumption; determining average comprehensive energy consumption on the basis of the evaluated energy consumption; and determining an energy consumption level of the vehicle on the basis of the nominal energy consumption discrete coefficient and the average comprehensive energy consumption. Also disclosed is an apparatus for virtual evaluation of on-road energy consumption of a new energy vehicle. Even without large-scale road testing, on-road energy consumption can still be efficiently and conveniently evaluated in numerous cities and diverse vehicle usage scenarios.

The invention discloses a vehicle-mounted automobile instrument control display system, which relates to the field of instrument control display and is used for acquiring face, eye movement, grip strength and physiological data, identifying a driving state, acquiring road, weather and traffic target information, analyzing an operation intention, predicting path conflicts and dynamically adjusting an instrument interface according to risks. According to the system, the driver state and environment information are collected, behavior prediction is combined, operation intention recognition and risk early warning are achieved, the content of an instrument interface can be dynamically adjusted before danger occurs, multi-channel prompt intervention is conducted through voice and light, the driving safety is improved, and compared with the prior art, the system has the advantages of being high in practicability and easy to popularize. The vehicle-mounted instrument control system has the advantages of prospective early warning, interface self-adaption and personalized prompt, and the intelligent and situation-aware vehicle-mounted instrument control function is achieved.

A child restraint includes a seat base adapted to be secured to a vehicle seat. The seat base includes a seat-base foundation formed to include a vehicle seatbelt path and a vehicle seatbelt retainer coupled to the seat-base foundation and configured to pivot between a released position spaced away from the vehicle seatbelt path and a clamped position overlying the vehicle seatbelt path to clamp a vehicle seat belt to the seat-base foundation to secure the seat base to the vehicle seat. The child restraint further includes a juvenile seat adapted to be secured to the seat base and a seat connection system configured to maintain connection between the juvenile seat and the seat base.

The invention discloses a driving environment sensing method, device and equipment for an underground roadway and a medium. The method comprises the following steps: acquiring environmental point cloud data in the driving process of a vehicle in an underground roadway; based on the environment point cloud data, multi-dimensional environment perception detection is carried out on the underground roadway to obtain environment perception detection data, and the multi-dimensional environment perception detection comprises at least one of ground slope detection, obstacle detection, roadway boundary detection and roadway intersection detection; correspondingly, the environment perception detection data comprises at least one of ground slope data, obstacle information, roadway boundary information and roadway intersection information. Through the technical scheme of the invention, the problem that the underground view of the underground vehicle is limited in illumination restriction and narrow roads is solved, the effect of multi-dimensional environment perception is realized, the occurrence of safety accidents such as collision and scratch of the underground mine car is effectively avoided, and the safety of underground personnel and property of a coal mine is further ensured.

A method for labeling a road element includes: obtaining a sequence of road geometry line points of a first road in a three-dimensional map, the sequence of road geometry line points including a plurality of location points for drawing an outline of a road geometry of the first road; segmenting the first road based on the sequence of road geometry line points, to obtain a plurality of road segments of the first road, a road surface of a road segment being drawn as a plane; and determining, in response to that a target road element spans a boundary line of two adjacent road segments in the first road, a joint point located on the boundary line, the joint point being configured as a label to divide the target road element to two sections that are respectively placed on the road surfaces of the two adjacent road segments.

A method for managing content displayed in a vehicle. At least one occupant in a vehicle consuming content is determined. Identification information identifying the at least one occupant is acquired. The at least one occupant exiting the vehicle is detected. Identification information identifying the at least one occupant, a content identifier (ID) of the content consumed by the at least one occupant, and a last position of the content at a time the at least one occupant exits the vehicle are saved. The at least one occupant re-entering the vehicle is detected. The content identified by the content ID is resumed at the last position of the content for the at least one occupant associated with the identification identifier.

A method for providing charging resources to electric vehicles comprising a control system of an electric vehicle supply equipment, EVSE, storing a default charging profile. The default charging profile defines a first maximum amount of charging resources that the EVSE may provide to charging electric vehicle(s). The control system receiving from a central control system, via a communication connection, a charging profile that defines a second maximum amount of charging resources that the EVSE may provide to charging electric vehicle(s). The control system effectuates the received charging profile by causing the EVSE to provide at most the second maximum amount of charging resources to charging electric vehicle(s). The control system determining that the communication connection is broken and, based on this determination, effectuating the default charging profile causing the EVSE to provide at most the first maximum amount of charging resources to the charging electric vehicle(s).

To provide a parking space allowing a user of a parking lot to park at the lowest charge within a predetermined range.SOLUTION: A parking fee settlement system includes a parking information reception unit that receives parking information indicating that a vehicle is stopped in a predetermined parking space from a portable terminal, a fee information reception unit that receives fee information of another parking space within a predetermined range from the parking space from the portable terminal, a fee comparison unit that compares the fee information of the parking space with the fee information of the other parking space, and a fee settlement unit that settles a parking fee based on the fee information of the other parking space when the fee information of the other parking space is cheaper than the fee information of the parking space.SELECTED DRAWING: Figure 1

The utility model relates to the field of car sunshade clothes, in particular to a car sunshade changeable full-wrapping dual-purpose car clothes and wrapping dual-purpose car clothes which comprise a sunshade and a main machine, the main machine is arranged on the lower side of the sunshade, a car clothes body is detachably arranged on the edge of the lower side of the sunshade, and the car clothes body is arranged around the edge of the lower side of the sunshade. The car cover is detachably arranged on the lower edge of the sunshade, so that the sunshade can be adjusted between the mode of completely wrapping a car and the mode of covering the car cover ceiling, and the sunshade can be adjusted according to requirements.

The present disclosure relates to a method for route planning for automated driving vehicles, which includes determining a plurality of candidate driving routes from a starting point to a destination; determining an availability of a driving assistance function for automated driving for each candidate driving route of the plurality of candidate driving routes; and selecting a candidate driving route from the plurality of candidate driving routes, having a maximum availability of the driving assistance function for automated driving, as final driving route.

An indication that a ride associated with an electric vehicle has ended is received. An availability state of the electric vehicle is determined based at least on a current battery charge level of the electric vehicle and a dynamic charge threshold. Information reflecting the availability state of the electric vehicle in a set of geographic location and availability state information of vehicles comprising a fleet of electric vehicles available to be displayed is included via a user interface based at least in part on the respective availability state of the respective electric vehicles comprising the fleet of electric vehicles.