175 results about "Transportation industry" patented technology

The proposed invention relates to methods for controlling energy consumption by a motor vehicle, and can be used in transportation industry. The technical problem to be solved by the claimed invention is to provide a method, a device, a system, a motor vehicle, and a computer-readable medium that do not possess the drawbacks of the prior art and thus make it possible to generate an energy-efficient driving route for a motor vehicle using a variety of energy-efficient tracks that allows motor vehicles to move along these routes in an energy-efficient way.

The proposed invention relates to methods for controlling energy consumption by a motor vehicle, and can be used in transportation industry. The technical problem to be solved by the claimed invention is to provide a method, a device, a system, a motor vehicle, and a computer-read-able medium that do not possess the drawbacks of the prior art and thus make it possible to generate an accurate resource-efficient track for a motor vehicle that allows to reduce resource consumption by the motor vehicle moving along a portion of the route that contains a mandatory deceleration point, including portions of the route that are located in urban areas.

The invention provides a path planning method based on machine learning in an easy-to-degrade environment, and relates to the fields of path planning, machine learning and the like. The method comprises the specific steps of firstly processing point cloud data through semantic segmentation and fuzzy evaluation to generate a semantic map containing risk information, then taking a global path generated by an A * algorithm as prior information of a DQN algorithm, then designing a reward function which comprehensively considers safety, efficiency and shortest path, and optimizing a local decision through the DQN algorithm. And finally, fusing the local path and the global path generated by the DQN to generate a continuous, smooth and safe optimal path. Compared with the prior art, the method not only can effectively cope with the problem of performance reduction of the laser radar in a degraded environment, but also can remarkably improve the path planning safety and robustness of the mobile robot in a complex environment, has real-time performance and expansibility, and can be widely applied to the fields of service industry, industry, transportation industry and the like.

The invention discloses a flight operation guarantee intelligent collaborative intervention method based on DT and a complex network, and the method comprises the following steps: 1, building a flight ground operation guarantee digital twinborn model based on a data driving method, and achieving the virtual-real synchronization; step 2, establishing a flight ground operation guarantee complex network model; and step 3, flight operation guarantee intelligent collaborative intervention based on the digital twin model and the complex network model. Compared with the prior art, the method has the positive effects that the method has great value and practical significance for improving the traffic capacity of the airport and enhancing resource guarantee. Along with continuous development of the aviation transportation industry and complication of flight guarantee work, the method has wide application prospects, can be applied to various large airports, facilitates optimization of flight guarantee work procedures and improvement of operation efficiency, and meanwhile plays a positive role in promoting modernization management and intelligent development of the aviation guarantee industry.

The proposed invention relates to methods for controlling energy consumption by a motor vehicle, and can be used in transportation industry. The technical problem to be solved by the claimed invention is to provide a method, a device and a system that do not possess the drawbacks of the prior art and thus make it possible to generate an accurate resource-efficient track for a motor vehicle that allows to reduce energy consumption by the motor vehicle on the specific portion of the route.

The invention discloses a traffic data security encryption and circulation system and method based on a block chain, belongs to the technical field of traffic control, and aims to solve the problems of security, privacy and trust in traffic data sharing. The system comprises an edge computing node which is deployed near a data source and is used for performing encryption or privacy enhancement processing on original traffic data; a block chain network with a smart contract is deployed, node identities are managed, verification information is recorded, an access strategy is stored, and data circulation is controlled; and the data processing unit is used for aggregating the processed data to generate a circulatory data product. The method comprises the steps of edge security processing, block chain management verification, product generation by the data processing unit and management and control circulation of the block chain according to a strategy. Through edge security processing and a block chain trust mechanism, data security privacy is guaranteed, safe, transparent and credible circulation and utilization of traffic data are realized, and reliable data support is provided for intelligent upgrading and digital transformation of the traffic industry.

The proposed invention relates to methods for controlling a motor vehicle, and can be used in transportation industry. The technical problem to be solved by the proposed invention is to provide a method, a device, a system, a motor vehicle, and a computer-readable medium that do not possess the drawbacks of the prior art and thus make it possible to generate an optimized track for a motor vehicle that provides a speed profile for a portion of the route, ensuring preferable energy and resource consumption, and time spent by the motor vehicle to pass the portion of the route, as well as minimizing the risk of not passing the portion of the route.

The invention discloses a traffic transportation industry current-period carbon emission calculation method and system based on an electric carbon model, and a medium. The method comprises the steps of obtaining traffic transportation industry factor data and establishing a traffic transportation industry factor library; performing traffic energy consumption influence factor analysis on the factor data through a feature engineering technology to obtain traffic energy consumption core influence factors; constructing to obtain an energy activity data prediction regression model; using AIC to obtain a lagging order, inputting data corresponding to the lagging order into the energy activity data prediction regression model for prediction, and obtaining an annual total energy consumption prediction value; converting the annual energy activity prediction value to obtain energy consumption data of each month; and based on the energy consumption data of each month and the corresponding carbon emission factor, calculating to obtain the carbon emission of the corresponding month. According to the method, the carbon emission of the traffic transportation industry can be accurately predicted in real time through the consumption of the electric energy.

The invention discloses a super-efficiency SBM model-based traffic transportation industry operation efficiency evaluation method. The method at least comprises the steps of collecting input data, environmental influence data and output data corresponding to a region needing traffic transportation industry operation efficiency evaluation; preprocessing the input data, the environmental influence data and the output data; constructing a super-efficiency SBM model for evaluating the operation efficiency of the transportation industry; on the basis of the preprocessed input data, environmental influence data and output data, the operation efficiency of the transportation industry in the region is evaluated through a constructed super-efficiency SBM model; and making decision suggestions based on the evaluation result. The system has the advantages that multi-dimensional information such as energy input, environmental influence and expected output can be systematically integrated, the real efficiency level of the transportation industry in the aspects of energy utilization and environmental protection is accurately measured, and scientific and reliable data support and decision basis are provided for government departments, traffic enterprises and research institutions.

The invention discloses a traffic industry carbon reduction method and system based on multi-Agent-SD decision model simulation, and relates to the technical field of urban traffic, and the method comprises the steps: obtaining a historical data set of the traffic industry in a to-be-researched region; processing the historical data set, and dividing the historical data set into a training data set and an inspection data set; constructing a multi-Agents-SD decision model, performing comparative analysis on simulation data simulated by the training data set and the test data set, and calibrating parameters of the multi-Agents-SD decision model; corresponding parameters are designed according to different development situations, the adjusted parameters are input into the multi-Agent-SD decision model for simulation, a differentiation result is obtained, and then the traffic industry carbon reduction strategy is obtained. According to the method, the advantages of the two models are combined, the multi-Agents model for exploring micro individual behavior changes and the SD model for a macroscopic complex system are combined, and a more suitable traffic carbon reduction scheme is researched from multiple angles.

The invention relates to the technical field of charging scheduling, in particular to an expressway unmanned heavy truck intelligent charging system which comprises a data acquisition and preprocessing system and a vehicle pile network cloud integrated cooperative operation and green electricity source tracing carbon emission reduction module. Driving and charging strategies are optimized in combination with algorithms such as reinforcement learning, the energy consumption of the unmanned heavy truck can be effectively reduced, the transportation resource utilization rate is improved, and it is guaranteed that transportation tasks are efficiently completed in a time window; green power full-link traceability is realized based on the block chain technology, and the charging time is dynamically adjusted in combination with peak and valley electricity prices, so that the authenticity of use of green power is ensured, low-cost green power can be preferentially selected, and the charging and overall operation cost is remarkably reduced; the carbon emission in the charging and operation process is accurately quantified, the emission reduction benefit of a traditional heavy truck is scientifically evaluated, meanwhile, the method is in butt joint with a green logistics authentication system, support is provided for obtaining authoritative green authentication for transportation services, and low-carbon transformation of the industry is assisted.

The invention provides a carbon transaction method and system for the transportation industry, and the method comprises the following steps: dividing the transportation modes of the industry into land transportation, air transportation and waterway transportation according to the comprehensiveness of the transportation industry; respectively carrying out carbon emission accounting on the three types of transportation modes; summarizing land transportation, air transportation and waterway transportation to calculate the total carbon emission amount of the enterprise; a carbon emission accounting model is constructed, and the total carbon emission amount of each enterprise is calculated; each enterprise allocates the carbon quota according to the allocation proportion; carbon quota transaction: dynamically collecting demand and supply conditions of the buyer and the seller by adopting a principle of combining bilateral auction and dynamic pricing, and jointly determining a final transaction price by the buyer and the seller; identity verification of the buyer and the seller is completed in the transaction process, the transaction is executed through an intelligent contract, and carbon quota transfer and fund payment are achieved. And recording the transaction data in a database in real time. According to the invention, a more accurate, transparent and sustainable operation mechanism is constructed for carbon transaction in the transportation industry.

An intelligent analysis method for operational supervision of public transportation industry and a system thereof includes operation information collection, calculation of basic vehicle information and platform passenger flow information, current operation analysis of target vehicles, current data update and calibration of the target vehicles, automatic adjustment of dispatching operation plans for public transportation vehicles within operation areas, and real-time updates of real-time data of online vehicles within the operation areas. The present invention implements vehicle energy consumption monitoring and statistical analysis based on basic information and mileage information of public transportation vehicles, and performs intelligent dispatching and makes preferred planning in terms of road network congestion, charging station operations and site traffic for dispatching and subsequent operations of the entire transportation network based on energy consumption and the location of charging stations on public transport operation lines.

The proposed invention relates to methods for controlling energy consumption by a motor vehicle and can be used in transportation industry. The technical problem to be solved by the claimed invention is to provide a method, a device and a system that do not possess the drawbacks of the prior art and thus make it possible to generate an accurate energy-efficient track for a motor vehicle that allows to reduce energy consumption by the motor vehicle on the specific portion of the route. The objective of the claimed invention is to overcome the drawbacks of the prior art and thus to reduce energy consumption by the motor vehicle on the specific portion of the route.

To efficiently determine the causes of logistics work accidents, such as accidents occurring during receiving, storing, and sorting at automated logistics bases in the transportation industry.SOLUTION: A system is composed of a cloud server, a WEB server, camera equipment, sensor equipment, a determination function, and various terminals to determine the cause of a logistics operation accident such as an accident at the time of receiving, storing, and sorting at a logistics base. Information on the identified cause of the accident is sent to the responsible person, remote monitors, and workers to improve the cause of the accident, and to utilize the logistics operation accident cause determination system for quick work recovery.SELECTED DRAWING: Figure 1

The proposed invention relates to methods for controlling energy consumption by a motor vehicle, and can be used in transportation industry. The technical problem to be solved by the claimed invention is to provide a method, a device, a system, a motor vehicle, and a computer-readable medium that do not possess the drawbacks of the prior art and thus make it possible to generate a modified energy-efficient track based on a non-modified energy-efficient track, thus allowing to reduce the time needed to pass a portion of the route or to increase the time of useful operation of the vehicle.

The invention relates to the technical field of carbon emission management, and particularly discloses a traffic transportation industry carbon emission management system based on the Internet of Things, and the system comprises an acquisition module which divides a road into road segments, and continuously collects the illegal behavior data of non-motor vehicles on the road segments through an Internet of Things sensing device; the aggregation module is used for dynamically aggregating the violation behavior data of the road section and generating a comprehensive violation strength index of the road section in a continuous time period; the dividing module is used for dividing the road sections into different risk levels based on the comprehensive violation intensity index and in combination with the phase data of the traffic signal lamp at the current moment; and the recommendation module is used for recommending a path with the lowest total risk value according to a motor vehicle navigation request obtained in real time, dynamically receiving a non-motor vehicle real-time movement track uploaded by the Internet of Things sensing equipment in a navigation process, and triggering re-evaluation of a path risk level and real-time adjustment of a navigation path. The carbon emission in the highway transportation process is reduced.

A large-model question answering method and apparatus for the transportation industry, and a device and a storage medium, relating to the interdisciplinary field of artificial intelligence and information security. The method comprises: on the basis of a pre-constructed security knowledge base, retrieving a transportation-related question to be processed; when the obtained retrieval result indicates that there is no reply information corresponding to the transportation-related question in the knowledge base, determining, on the basis of a preset question security interception strategy, whether to currently trigger a question interception operation; when an obtained first determination result indicates that the question interception operation is not to be triggered, performing, on the basis of a preset prompt, question enhancement on the transportation-related question; on the basis of a pre-fine-tuned target large transportation model, processing the obtained enhanced question to obtain target reply information; and on the basis of a preset answer security interception strategy, determining whether to currently trigger a reply interception operation corresponding to the target reply information, so as to complete a question answering operation on the basis of an obtained second determination result. The security and accuracy of question answering can be effectively improved.

The proposed invention relates to methods for controlling energy consumption by a motor vehicle and can be used in transportation industry. The technical problem to be solved by the claimed invention is to provide a method, a device and a system that do not possess the drawbacks of the prior art and thus make it possible to generate an accurate energy-efficient track for a motor vehicle that allows to reduce energy consumption by the motor vehicle on the specific portion of the route. The objective of the claimed invention is to overcome the drawbacks of the prior art and thus to reduce energy consumption by the motor vehicle on the specific portion of the route.

The invention discloses a multi-energy complementation zero-carbon service area construction method, and relates to the technical field of multi-energy complementation, and the construction method comprises the steps: selecting an optimal construction address based on the topographic data of a research area, evaluating the carbon emission at the optimal construction address in combination with the energy consumption prediction, and generating a zero-carbon construction scheme through the carbon emission; on the basis of the zero-carbon construction scheme and climate conditions, designing a construction scheme of the zero-carbon service area at the optimal construction address, and constructing the zero-carbon service area according to the construction scheme; the operation data of the zero-carbon service area is acquired by using a sensor, and control logic is generated based on the operation data to adjust the operation state of each energy facility so as to realize the purpose of multi-energy complementation. According to the invention, the energy utilization efficiency is improved, the carbon emission is reduced, the self-management and optimization capability of the service area is enhanced, and a new thought and technical support are provided for green development of the traffic transportation industry.

The proposed invention relates to methods for controlling energy consumption by a motor vehicle, and can be used in transportation industry. The technical problem to be solved by the claimed invention is to provide a user device that do not possess the drawbacks of the prior art and thus make it possible to generate an accurate energy-efficient track for a motor vehicle that allows to reduce energy consumption by the motor vehicle on the specific portion of the route, as well as to reliably signal about energy consumption by the motor vehicle and the ways of reducing its energy consumption.

The proposed invention relates to methods for controlling energy consumption by a motor vehicle and can be used in transportation industry. The technical problem to be solved by the claimed invention is to provide a method, a device and a system that do not possess the drawbacks of the prior art and thus make it possible to generate an accurate energy-efficient track for a motor vehicle that allows to reduce energy consumption by the motor vehicle on the specific portion of the route. The objective of the claimed invention is to overcome the drawbacks of the prior art and thus to reduce energy consumption by the motor vehicle on the specific portion of the route.

The invention provides a highway service area carbon emission accounting method and system. The method comprises the following steps: defining a service area carbon emission accounting boundary; acquiring data of various energy consumption, traffic volume, vehicle type, solid waste treatment capacity and sewage treatment capacity; selecting a carbon emission factor; respectively checking carbon emissions of three categories of building activity emissions, traffic activity emissions and waste treatment in the service area, wherein the traffic activity emissions comprise carbon emissions generated by non-own vehicles and own vehicles; by considering the queuing, acceleration, deceleration and idling processes of vehicles in a service area, the traffic activity carbon emission is accurately calculated; and accounting the total carbon emission of the service area. The invention provides a more accurate highway service area carbon emission accounting method based on service area traffic volume, vehicle types, fuel consumption and other data, can realize refined monitoring and accounting of highway service area carbon emission, and promotes the transportation industry to develop towards the low-carbon environmental protection direction.

The proposed invention relates to methods for controlling energy consumption by a motor vehicle, and can be used in transportation industry. The technical problem to be solved by the claimed invention is to provide a motor vehicle that do not possess the drawbacks of the prior art and thus make it possible to generate an accurate energy-efficient track for a motor vehicle that allows to reduce energy consumption by the motor vehicle on the specific portion of the route, as well as to reliably signal about energy consumption by the motor vehicle and the ways of reducing its energy consumption.

The proposed invention relates to methods for controlling energy consumption by a motor vehicle and can be used in transportation industry. The technical problem to be solved by the claimed invention is to provide a method, a device and a system that do not possess the drawbacks of the prior art and thus make it possible to generate an accurate energy-efficient track for a motor vehicle that allows to reduce energy consumption by the motor vehicle on the specific portion of the route. The objective of the claimed invention is to overcome the drawbacks of the prior art and thus to reduce energy consumption by the motor vehicle on the specific portion of the route.

The proposed invention relates to methods for controlling energy consumption by a motor vehicle, and can be used in transportation industry. The technical problem to be solved by the claimed invention is to provide a method and a non-transitory computer-readable medium that do not possess the drawbacks of the prior art and thus make it possible to generate an accurate resource-efficient track for a motor vehicle that allows to reduce energy consumption by the motor vehicle moving along a highway, including as part of a convoy.

The proposed invention relates to methods for controlling energy consumption by a motor vehicle, and can be used in transportation industry. Technical problem to be solved by the claimed invention is to provide a method, a device, a system, a motor vehicle, and a computer-readable medium that do not possess the drawbacks of the prior art and thus make it possible to generate an accurate adjustment energy-efficient track for a motor vehicle that allows to reduce energy consumption by the motor vehicle on the specific portion of the route, as well as to return the vehicle in operation, after an emergency and / or unexpected stop, back to moving in accordance with the main energy-efficient track.

The invention belongs to the field of rail transit transportation, and particularly relates to a cargo multimodal transport system integrating high-speed rail express transportation and subway distribution. Comprising a high-speed rail trunk line transportation subsystem for cargo transportation between two cities, an urban underground distribution subsystem, node infrastructures communicating the high-speed rail trunk line transportation subsystem and the urban underground distribution subsystem, and carrying equipment for realizing cargo transportation of the high-speed rail trunk line transportation subsystem and the urban underground distribution subsystem. According to the invention, adverse effects of freight activities on subway passenger service can be avoided; a traditional traffic mode is effectively promoted to be upgraded and transformed to be efficient, intelligent and integrated, and therefore the rapidly-increased differentiated transportation service requirements are met.

The invention provides a hazardous chemical vehicle abnormal behavior detection method based on multi-view spatio-temporal data mining. The method comprises the steps that multi-view data information of vehicles driving into a toll station area is collected through physical sensing layer equipment; the network transmission layer transmits the multi-view data information acquired by the physical sensing layer to the computing service layer; the computing service layer receives and processes the multi-view data information to obtain multi-view time sequence data of the vehicle; constructing multi-view time series data of the vehicle in the fractional domain based on fractional Fourier transform; based on the multi-view time sequence data of the vehicle in the fractional domain, identifying a vehicle abnormal event through a multi-view spatio-temporal data mining model; and the service application layer executes an alarm pushing operation after detecting a vehicle abnormal event. According to the invention, the abnormal behavior of the dangerous chemical vehicle in the highway toll station area can be detected, and the risk can be found and prevented in time, so that the safety management level of the traffic transportation industry is improved, and the transportation efficiency and safety are improved.

The invention relates to the technical field of water transportation, and discloses a waterway transportation management method and system, electronic equipment and a readable storage medium. In the method, in response to assignment information sent by a cargo owner, a carrier undertakes a transportation service of a cargo corresponding to the assignment information; the carrier sends offer information of the water transportation goods to the ship owner; in response to commitment information sent by the ship owner in response to the offer information, the carrier electronically signs a contract for the transportation service based on the commitment of the ship owner, and the carrier or the ship owner establishes a waybill for the transportation service; the carrier sends a cargo transportation notice to the signed ship owner, or the carrier sends the cargo transportation notice to the cargo owner and the signed ship owner; wherein the cargo transportation notice is the cargo corresponding to the water transportation service. According to the technical scheme of the invention, quality control, transport capacity resource integration and data monitoring can be carried out on the operation process of the cargo transportation service, so that multi-chain and multi-link digital management of the cargo transportation service operation is realized, and the method is an effective waterway transportation management means.