53 results about "Transportation planning" patented technology

The invention discloses a non-power-grid sporadic material emergency purchase response system considering risk priority. The system comprises a sporadic material demand trend pre-judgment module, a risk perception purchase adaptation module, a risk income balance optimization module, an emergency purchase scheduling module, a non-power-grid material response module and a module cooperative control module. According to the system, data such as historical purchase and consumption rate are integrated through a demand trend pre-judgment module to output a demand prediction result, risk and performance parameters are coupled through a risk perception purchase adaptation module to generate an adaptation scheme, and an optimal purchase strategy is calculated through a risk income balance optimization module. A scheduling instruction is generated through an emergency purchase scheduling module according to the risk priority, a non-power-grid material response module executes inventory checking, transportation planning and other operations, and a module cooperation control module achieves whole-process data synchronization and parameter dynamic adjustment. According to the system, the decision-making scientificity and response efficiency of non-power-grid sporadic material emergency purchase are improved, and emergency purchase burstiness and complexity requirements are met.

The invention discloses a path planning method and system for power grid engineering construction machinery transportation, and a medium. The method comprises the following steps: constructing a construction environment model and a grid adjacency list according to path planning data; processing the construction environment model and the grid adjacency list based on a path connectivity algorithm to obtain a weighted grid connectivity graph; analyzing the weighted grid connected graph based on a path analysis algorithm to obtain a transportation route combination graph; on the basis of a path selection algorithm, selecting a route communicating all construction nodes of the construction area in the transportation route combination diagram as a temporary transportation route; and detecting all the temporary transportation routes based on a route detection algorithm to obtain a target transportation route. Therefore, the shortest and most economical transportation planning path is found through the adaptive path algorithm and the deep reinforcement learning technology.

The invention discloses a global and neighborhood feature fused railway network node importance degree evaluation method. The method comprises the following steps: obtaining railway transportation network node evaluation data; constructing a railway transportation facility topology network and railway transportation service complex network model; analyzing the global importance of the railway network nodes; outputting neighborhood attributes of the railway network nodes; setting a global and neighborhood feature fusion factor, and calculating a network node comprehensive importance index; and evaluating the importance of the railway network nodes. According to the method, the node importance of the railway transportation complex network is rapidly and accurately evaluated, the node importance evaluation result is more objective and accurate by fusing the global and neighborhood characteristics of the railway network nodes, and technical service support is provided for scientific and efficient railway transportation planning and complex network node importance analysis.

The invention relates to the technical field of urban and rural traffic planning, in particular to a rail transit connection shared bicycle use influence analysis method based on built environment and interpretable machine learning, which comprises the following steps: S1, identifying traffic behaviors of taking shared bicycles as rail transit connection trips, obtaining shared bicycle order data in a target area, and determining the order data of the shared bicycles in the target area; constructing a shared bicycle connection use database; s2, determining a research area of a built environment around each subway station, and delimiting an annular buffer area around the subway station as a research range; s3, fusing multi-source built-up environment data, including objective built-up environment indexes and perceptual built-up environment indexes; s4, on the basis of the data in S1 and S3, establishing an influence factor data set of the environment on the use of the shared bicycle; the method comprises the following steps: identifying a traffic behavior of taking a shared bicycle as a rail traffic connection trip, obtaining shared bicycle order data in a target area, extracting riding OD point, distance and time information, and constructing a shared bicycle connection use database;

The present application belongs to the field of underground space development and application and transportation planning, and particularly relates to a development suitability evaluation method for urban subway freight system, which comprises the following steps: step (1), establishing an analysis framework for development suitability of urban subway freight system; step (2), evaluation indexes and quantitative calculation for development suitability of urban subway freight system; step (3), multi-source data collection; and step (4), establishment of index processing process and evaluation criteria. The present application proposes a method combining qualitative and quantitative methods to evaluate the suitability of comprehensive logistics solutions based on urban subway freight, and the evaluation content is comprehensive and operable, thereby providing reliable decision support for sustainable transition of urban freight transportation from highway dominant mode to railway collaborative transportation.

The present invention provides a method and device for obtaining air-rail intermodal OD based on mobile phone signaling data, relating to the field of integrated transportation planning and management technology. The method comprises obtaining mobile phone signaling data of multiple users; obtaining multiple target signaling data; determining multiple first signaling data; performing secondary screening based on base station identifiers and timestamps in the multiple first signaling data to determine multiple second signaling data; generating corresponding multiple trip data based on the multiple second signaling data; and obtaining multiple target trip data. Based on the user's mobile phone signaling data, the present invention first eliminates some users who have not passed through railway stations and civil aviation stations, then eliminates users who have not used air-rail intermodal, and finally merges the trip data of users with multiple cards to obtain detailed and accurate air-rail intermodal OD information. This method can provide research samples for air-rail intermodal route recommendations and transit city optimization, thereby improving the network efficiency of the transportation system.

The application provides a kind of storage-conveying combined planning method, device and equipment considering weak link identification of regulation capacity and storage medium. It relates to the technical field of new energy storage and transportation planning. The method accurately identifies weak nodes and bottleneck lines for peak regulation by constructing adjustment capacity supply and demand imbalance tracing and weak link evaluation index. And it analyzes the dynamic relationship between energy storage configuration and line expansion, and constructs a combined planning model considering the trade-off between economy and flexibility. The effectiveness and rationality of the method are verified by matching the Garver-6 system example with actual operation data. The example shows that: on the one hand, the evaluation index can accurately identify weak nodes and bottleneck lines for peak regulation, providing guidance for subsequent planning. On the other hand, the proposed planning method avoids waste of energy storage investment and redundancy of line expansion, and significantly improves the weak links of the power grid.

The invention provides a storage-transmission joint planning method, device and equipment considering weak link identification of adjustment capability, and a storage medium. Relates to the technical field of new energy storage and transmission planning. According to the method, peak regulation weak nodes and bottleneck lines are accurately identified by constructing regulation capability supply and demand imbalance traceability and weak link evaluation indexes; and the dynamic relationship between energy storage configuration and line extension is analyzed, and a joint planning model considering the balance of economy and flexibility is constructed. The effectiveness and rationality of the method are verified by matching actual measurement operation data with Garver-6 system example analysis. Examples show that on one hand, the evaluation indexes can accurately recognize peak regulation weak nodes and bottleneck lines, and guidance is provided for follow-up planning; and on the other hand, the planning method avoids energy storage investment waste and line extension redundancy, and significantly improves weak links of the power grid.

This invention discloses a method for assessing the accessibility level of public transportation based on work-residence integration, belonging to the field of urban public transportation planning and assessment technology. The method includes: acquiring multi-source data on the public transportation system of the target area, including static geographic information, departure timetables, and historical operation data; dividing the area into spatial analysis units based on planning boundaries and linear geographic elements; calculating and standardizing three indicators—spatial coverage, service frequency intensity, and operational reliability—for each unit; employing an objective weighting method based on information entropy to automatically determine the weight of each indicator according to its dispersion across all units; weighting and aggregating the standardized indicator values ​​of each unit with their corresponding weights to generate a comprehensive public transportation network service capacity index; and finally generating and outputting a service capacity visualization map based on this index. This invention, through multi-dimensional quantification and objective weighting, achieves a scientific and comprehensive assessment of public transportation service capacity, providing intuitive decision support for planning and management.

This invention relates to the field of airport integrated transportation, specifically to a method for assessing the competitive status of airport landside transportation niches. Based on niche theory, this invention uses the breadth, overlap, and competitive dynamics of transportation niches as core dimensions for evaluating airport landside transportation competitiveness. By constructing a quantitative model of transportation niches, it analyzes the competitive and cooperative relationships among different modes of transportation and the mechanism of imbalance in carrying capacity ratios, thereby characterizing the comprehensive competitiveness of airport landside transportation and providing a scientific basis for optimizing airport landside transportation planning and improving transportation efficiency. This invention can be used to reveal the competitive and cooperative mechanisms and evolutionary patterns of airport landside transportation niches, in order to solve the key problems currently facing the development of airport landside transportation.

The invention belongs to the technical field of intelligent traffic, particularly relates to an intelligent traffic prediction control method and system based on dynamic functional cell body coupling, and aims to solve the problems that an existing traffic planning method is low in prediction accuracy and poor in adaptability in a dynamic network. According to the method, high-order structure features of a traffic network are extracted based on directed motif and a graph neural network (GNN), and urban functional cell bodies are dynamically divided; continuous evolution of the urban functional cell body structure is ensured through a time smoothing mechanism; the mutual feedback intensity between the urban functional cell bodies is predicted by utilizing an urban functional cell body embedding and time sequence model (such as LSTM); and a prediction result is adaptively adjusted in combination with dynamic states (birth, expansion, shrinkage and death) of urban functional cell bodies. On the basis of dynamically adapting to a time-varying traffic environment, regional traffic flow prediction is realized, and when the method is applied to traffic planning, regional flow management, congestion early warning and infrastructure planning can be optimized, and intelligent traffic and green city development are promoted.

The invention discloses a bulk commodity transportation management method and platform based on a block chain, and relates to the field of bulk commodity transportation management. The logistics transportation planning route in the block chain is acquired, the basic type of each logistics physical node in the planning route is extracted, the logistics operation performed at the logistics physical nodes is summarized, and the logistics information integration model based on the planning route is constructed. Whole-course logistics information of bulk commodity materials is described by using a formalized expression mode, real-time logistics information when the commodity materials arrive at each logistics physical node is collected and synchronized to a block chain, the synchronized real-time logistics information in the block chain is dynamically matched to a logistics information integration model, and the logistics information integration model carries out logistics information integration. And calculating and acquiring the accuracy and integrity of the real-time logistics information at the current logistics physical node, respectively setting early warning thresholds of the accuracy and integrity of the logistics information, and judging the real-time logistics information at the current logistics physical node according to the early warning thresholds.

The invention relates to the field of airport comprehensive traffic, in particular to an airport landside traffic ecological niche competition state assessment method, which is based on an ecological niche theory, takes the traffic ecological niche width, the overlapping degree and the competition situation as core dimensions for assessing airport landside traffic competitiveness, and establishes a traffic ecological niche quantification model to assess the airport landside traffic competitiveness. Analyzing a competitive cooperation relationship and a carrying ratio imbalance mechanism of different transportation modes to describe comprehensive competitiveness of airport landside traffic, and providing a scientific decision basis for airport landside traffic planning optimization and transportation efficiency improvement; the method can be used for revealing the competitive cooperation mechanism and the evolution law of the airport landside traffic ecological niche so as to solve the key problem faced by the current airport landside traffic development.

The present invention discloses a method for calculating the optimal public transportation motorization share rate in small and medium-sized cities, which relates to the technical field of motorized travel structure optimization and is applied to public transportation planning in small and medium-sized cities. The method comprises: determining the composition of the motorized transportation system in the small and medium-sized cities, and determining traffic allocation parameters according to motorized transportation allocation characteristics; determining motorized travel time characteristics according to traffic supply and demand characteristics and traffic allocation parameters; determining an optimization index for the public transportation motorization share rate, and constructing an optimization objective function and constraint conditions based on traffic supply and demand characteristics, motorized travel time characteristics, and motorized mode characteristics; establishing a system optimal public transportation motorization share rate model based on the optimization objective function and constraint conditions; solving the optimal public transportation motorization share rate model based on the CRITIC-ideal point method, and determining the optimal share rate value. The method can be used to calculate the optimal public transportation motorization share rate in small and medium-sized cities, providing a basis for formulating public transportation development goals in small and medium-sized cities.

The invention belongs to the technical field of traffic transportation planning, and particularly relates to a signal timing method for lane grouping control at a roundabout. The signal timing method comprises the following steps: step 1, collecting and analyzing road geometric condition data and traffic operation data of a current roundabout; 2, determining traffic channelization and traffic organization modes of the roundabout based on a lane grouping control strategy; 3, determining a signal phase scheme of the roundabout; and step 4, determining a roundabout signal timing scheme. The method solves the technical problems of congestion and delay in the roundabout, and has the advantages of dynamically adjusting signal timing, improving traffic efficiency and safety, and reducing system complexity and cost.

The invention relates to the technical field of storage intelligent management systems, in particular to a cold chain storage intelligent management system based on the internet of things, which comprises an internet of things network constructed by a plurality of cold chain warehouses, and is characterized in that each cold chain warehouse is internally provided with a temperature adjusting device, an image acquisition device, a temperature acquisition device and a storage and transportation planning module; determining a circulation coefficient according to the space utilization rate of the corresponding cold chain warehouse, determining a to-be-circulated storage object list based on the circulation coefficient and the historical warehouse-out data, and responding to the to-be-circulated storage object list or the to-be-stored object list to obtain the to-be-delivered storage object list so as to match the cold chain warehouse. And a warehousing strategy is determined according to the number of the cold chain warehouses which can be matched. According to the invention, the technical problem that the storage environment of the stored objects is not matched with the actual demand due to the change of the storage environment of the stored objects and the space proportion caused by the fact that the warehouse-in and warehouse-out link of the goods is not comprehensively considered in the prior art is solved.

The invention discloses an unmanned aerial vehicle transportation network planning method based on LoRA enhanced strategy gradient, and belongs to the technical field of traffic transportation planning and management, and the method comprises the steps: firstly constructing a directed graph taking a central station as a root; nodes are classified, feasible paths are selected, construction cost and transportation cost are calculated, and a weighted LA-OVRP model is constructed; mDP and LoRA strategy tables are used for modeling path selection, and a directed root tree is generated; optimizing the strategy table through discount return and gradient descent; and finally, selecting a parent station path with the maximum probability for each demand station, and only distributing and outputting a feasible solution taking a central station as a root for a flow hub, thereby solving the problem of constructing an unmanned aerial vehicle transportation network taking a central node as a root in a low-altitude economic area environment, enabling node site selection and a flow transportation path to be collaboratively optimized, and improving the transportation efficiency of the unmanned aerial vehicle. Therefore, the weighted sum of the construction cost and the transportation cost is minimized, and the site selection effect and the transportation efficiency of the low-altitude economic area are improved.

The invention discloses a general cargo transportation three-dimensional simulation method and system and electronic equipment. The method comprises the following steps: step 1, obtaining basic information of general cargos and space parameters of a cargo ship; 2, constructing a three-dimensional model of the cargo ship based on the cargo size, weight and shape parameters obtained in the step 1 and the space parameters of the cargo ship; 3, dynamically simulating the layout of the grocery in the three-dimensional model based on the three-dimensional model constructed in the step 2 by using a genetic algorithm or an ant colony algorithm; step 4, outputting a cargo arrangement scheme based on a dynamic simulation result in the step 3; step 5; applying a deep learning model; step 6; a virtual reality technology is utilized. According to the method, the three-dimensional model is established by acquiring cargo information and cargo ship parameters, a layout and an output scheme are dynamically simulated by using genetic algorithms and the like, accurate recognition is realized through deep learning, interaction is enhanced through virtual reality, and the transportation planning accuracy and efficiency are improved.

The invention relates to the technical field of transportation planning of an intelligent port, in particular to a port coal transfer planning optimization method based on artificial intelligence, which comprises the following steps: S1, acquiring a coal loading image and a coal loading weight; s2, inputting a coal loading image of a transport vehicle into the coal type identification model to obtain a coal type prediction result; s3, inputting a coal loading image of the transport vehicle into the loading volume prediction model to obtain a coal loading volume prediction result; s4, selecting an optimal unloading area based on the coal loading weight, the coal type prediction result and the coal loading volume prediction result in combination with the coal stacking real-time state of the coal storage yard; and S5, generating transfer planning information based on the position information of the optimal unloading area. According to the invention, the uniformity and safety of stacking of the coal in the storage yard are obviously enhanced, the space utilization rate of the port coal storage yard is greatly improved, and intelligent, efficient and safe management of the whole process of port coal transfer is realized.

A route guiding device for transportation planning is provided and includes: a base; a standing post, fixedly connected to a top of the base; a lifting rod, movably arranged inside and connected to the standing post; a fixation rod, where a side of the fixation rod near the lifting rod is fixedly connected to the lifting rod. By setting up the stabilizing mechanism, after the device is moved to the in-use position, the positioning pin is taken out to release positioning of the movable rod. The movable rod is moved out of the fixation case and is positioned again by the positioning pin. The movable rod is prevented from moving randomly. The first electric extendable-retractable rod moves the support plate downwards to contact the contact surface and stops operating until the base is lifted up to a certain height.

The invention relates to a low-altitude and ground traffic cooperative passenger and freight mixed transport multimodal transport planning method. The method comprises the steps that firstly, transportation order information and traffic basic information are acquired, the transportation order information comprises pickup and delivery places, information of parcels or passengers, time limitation and order priority, and the traffic basic information comprises station information and transportation tool information; then, a mixed integer linear programming model is constructed based on the traffic basic information, constraint conditions are determined in combination with the transportation order information, and a target function of low-altitude collaborative mixed passenger and freight multimodal transport planning is defined; and finally, solving based on the objective function and the constraint condition by adopting an adaptive large neighborhood search algorithm to obtain a low-altitude collaborative hybrid passenger and freight multimodal transport planning scheme. And optimization of vehicle paths and resource allocation of the electric vertical take-off and landing aircraft and the unmanned aerial vehicle in low-altitude transportation is facilitated, the transportation efficiency is improved, and the method has important reference value for promoting sustainable development of low-altitude economy.

The invention relates to the technical field of path planning, in particular to a cargo transportation planning method for postal logistics storage. Firstly, data such as the speed, the motor current, the path curve, the cargo point cloud, the mass center and the inclination angle of the AGV are acquired; secondly, quantifying a dynamic cost function value of AGV real-time performance by fusing kinetic parameters such as speed deviation accumulation, steering angle deviation, motor current characteristics and path curvature sudden change; in an obstacle avoidance scene, a penalty influence function value is generated in combination with cargo form change (prominent detection), task emergency degree and steering cost; and finally, globally screening the candidate paths through a multi-target fusion model (cost function + penalty value + path length). According to the embodiment of the invention, through the three-stage architecture of data driving, individual optimization and global collaboration, the matching degree of the dynamic change of the individual AGV and the global task can be effectively improved, and the overall transportation efficiency is ensured.

The invention relates to a hydrogen transmission planning method and device for a hydrogen electricity energy network. The method comprises the steps that a hydrogen energy supply pipe network based on pipeline hydrogen transmission is constructed according to a new energy end and a hydrogen load end; the hydrogen supply cost of the first hydrogen transmission supply network is calculated based on the electric power parameter and the cost parameter of the new energy end; the hydrogen supply cost of the second hydrogen transmission supply network is calculated based on the electric power parameter and the cost parameter of the hydrogen load end; and comparing and screening to obtain an optimal hydrogen energy supply pipe network. According to the method, different hydrogen transmission scenes can be adapted based on the difference between the new energy end hydrogen production project and the load end on-site hydrogen production project, the hydrogen energy supply requirements under different resource distribution and load layouts are effectively covered, and the scene adaptability and practicability of a planning scheme are improved. And meanwhile, a leveling hydrogen production and transmission cost model is introduced, so that cost misjudgment caused by parameter omission or computational logic difference is avoided, and objective data support is provided for investment and construction of a hydrogen electricity energy network.

The present invention discloses a dynamic evolution analysis method for studying transportation mode selection in a ride-sharing system, comprising: obtaining a set of travel modes for travelers, wherein the travel mode set includes travel modes selectable by both car-based and non-car-based travelers; calculating travel costs for different travel modes based on the travel mode set; calculating generalized travel costs based on the travel costs, wherein the generalized travel costs take into account the constraint relationship between the number of passengers in a ride-sharing trip and the number of drivers in a ride-sharing trip; obtaining the probability of travelers selecting different transportation modes based on the generalized travel costs; and constructing a daily dynamic evolution model for ride-sharing travel. The method, based on the daily dynamic evolution model for ride-sharing travel, obtains the dynamic evolution of travelers' daily transportation mode selection behavior based on the selection probabilities. The present invention can simulate daily fluctuations in traffic flow for different travel modes, providing technical support for transportation planning and management departments in formulating management decisions related to ride-sharing travel.

The application relates to the field of transportation planning, in particular to a multimodal transport shift screening method, device, equipment and medium. The method comprises the following steps: acquiring node information, expected cargo readiness time and target arrival time, analyzing the node information and the expected cargo readiness time, obtaining a current delivery time, performing difference analysis on the target arrival time and the expected cargo readiness time, obtaining total time efficiency, performing prediction analysis on the node information and the total time efficiency, obtaining total delivery time, screening shifts according to the total delivery time and the current delivery time, and obtaining available shifts. The application has the effect of reducing transportation risks in international logistics.

The invention relates to the field of oil transportation planning, and provides an oil transportation route selection method and system based on transportation cost estimation, and the method comprises the steps: obtaining acceleration data through an acceleration sensor, obtaining a motion state through satellite navigation equipment, and obtaining the transportation loss of a transportation carrier through a weight sensor when the transportation carrier carries out transportation; obtaining a turning radius and a motion trail, obtaining an alignment sequence group by using a dynamic time warping algorithm, and calculating a correlation coefficient of the alignment sequence group; determining a road condition, and determining a road loss score; oil storage vapor pressure and storage environment temperature are determined, oil large respiration loss is calculated according to the oil storage vapor pressure, and oil small respiration loss is calculated; judging the oil flow state and determining pipeline parameters, and calculating the residual oil quantity of the pipeline according to the oil flow state and the pipeline parameters; according to the method, the oil transportation route can be selected according to the residual oil quantity of the pipeline, the road loss fraction, the large oil respiration loss and the small oil respiration loss.

The application discloses a traffic cell division method and system, an electronic device and a storage medium, wherein the method comprises the following steps: acquiring bus service area data and boundary data; performing unit division on a to-be-divided area according to the boundary data to obtain a basic unit set; performing clustering processing on the basic unit set according to the bus service area data to obtain an initial traffic cell division result; and performing abnormal correction processing on the initial traffic cell division result to obtain a target traffic cell division result. The application divides the area based on bus service characteristics, takes the bus service characteristics as the division standard, improves the accuracy of bus service area division evaluation, and can be widely applied to the technical field of public transportation planning.

The present invention discloses a method for constructing a hierarchical control model for a plug-in hybrid truck, a control method, and a system. The method constructs an energy control model for a plug-in hybrid vehicle based on an improved DDPG, determines a state set S, an action set action, a reward function J adaptively changing based on truck driving data, and a constraint function based on the improved DDPG plug-in hybrid vehicle energy control model; collects standard operating conditions and slopes as sample sets, and inputs the sample sets into the energy control model for the plug-in hybrid vehicle based on the improved DDPG constructed in step 1 for training, thereby obtaining a trained energy control model for the plug-in hybrid vehicle based on the improved DDPG; and establishes a mixed integer nonlinear programming model T by coordinate processing of a mining platform survey map. total , solving the main queue's driving path and the driving path of each vehicle to meet transportation planning requirements. This effectively solves problems such as congestion at mining intersections, waiting time for shovel transport, and inefficient decision-making due to information silos.

The embodiment of the application provides a vehicle transportation line optimization method and device, a planning method, equipment and a medium, and belongs to the technical field of vehicle transportation planning. The method comprises the following steps: acquiring vehicle attribute data of multiple vehicle types capable of performing line transportation demand in a single vehicle in a goods transportation scene, and transportation demand data and empty running transportation data of multiple transportation network points based on a transportation line; for each vehicle type, constructing a transportation space-time network graph according to the transportation demand data and the empty running transportation data; constructing line transportation constraint conditions according to the multiple transportation space-time network graphs, vehicle transportation attribute data, vehicle transportation resource data and vehicle transfer resource data; constructing a vehicle transportation line optimization target according to the multiple transportation space-time network graphs and the vehicle transportation resource data; and obtaining a transportation line optimization scheme based on the line transportation constraint conditions and the vehicle transportation line optimization target. The embodiment of the application can improve the accuracy of vehicle transportation line optimization.

The invention discloses a high-speed rail hub connection and intercommunication intelligent generation design method based on a diffusion probability model, and the method comprises the steps: converting an interchange overpass structure scheme around a high-speed rail station into a two-dimensional black-and-white image with a unified resolution, constructing key parameters, constructing a condition vector, forming an image-condition sample pair, and building a training sample library; a diffusion probability generation model based on U-Net is adopted, a classifier-free guide strategy is introduced for training, and the model can be de-noised step by step to generate a high-speed rail hub intercommunication structure design image meeting conditions. The finally output image scheme can meet the high flow and function requirements in the high-speed railway hub connection scene, the high-speed railway hub intercommunication scheme generation efficiency and automation level are remarkably improved, high universality, high controllability and good engineering adaptability are achieved, and intelligent auxiliary decision support can be provided for traffic planning and design.