42 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 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 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 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 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.

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 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 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.

The invention discloses a hydrogen transportation economy-based hydrogen transportation network planning and designing method and system, and the method comprises the steps: obtaining hydrogen transportation node road network data in a set region, and constructing a hydrogen transportation planning scene; various costs of a compression link, a long pipe trailer transportation link and a pure hydrogen pipeline transportation link of a whole hydrogen transportation process are evaluated, and life cycle leveling hydrogen transportation costs of a long pipe trailer hydrogen transportation chain, a pure hydrogen pipeline hydrogen transportation chain, a combined long pipe trailer and a pure hydrogen pipeline hydrogen transportation network are respectively obtained by combining the daily hydrogen transportation amount and the discount rate. Establishing a hydrogen transport economy evaluation model; and on the basis of the hydrogen transportation planning scene and the hydrogen transportation economy evaluation model, a double-layer collaborative optimization model is constructed with the goal of minimizing the full-life-cycle leveling cost of the hydrogen transportation network in the set area, and an optimal hydrogen transportation network planning scheme is solved based on the double-layer collaborative optimization model. The full-life-cycle leveling cost of the hydrogen transmission system can be accurately evaluated, and hydrogen transmission network planning can be carried out.

The invention provides a rail transit mode competitiveness calculation method, device and equipment based on Internet map data and a medium, and the method comprises the steps: determining reference points from a target area, and the reference points are determined based on an urban space structure, a transportation junction and a passenger flow attraction point, and represent a trip starting point and a trip ending point; determining influence factors such as travel time and cost, and constructing a quantitative travel mode utility function; based on Internet map information data, actual travel data between each rail station and each datum point under different travel modes are determined, a travel utility result is calculated in combination with a utility function, and the mode competitiveness of a traveler for selecting a rail transit mode is calculated based on the travel utility result so as to evaluate the competitiveness of the rail transit mode. According to the method and the system, traffic planning, management, policy making and traffic mode optimization can be scientifically guided by quantifying the travel utility and the competitiveness of the rail traffic mode, and the efficiency of an urban traffic system and the satisfaction degree of travelers are remarkably improved.

The application relates to a kind of urban agglomeration spatial connection structure characterization method and device, method includes: based on mobile communication data extraction individual mobile trajectory, identify the activity, activity site and travel of individual, construct the urban agglomeration spatial connection network based on travel;Urban agglomeration spatial connection network uses the non-overlapping community discovery algorithm based on modularity, identifies the community of close connection;Based on the urban agglomeration spatial connection community result identified, the stability of its core-edge structure is tested;Based on the community division result of urban agglomeration spatial connection network, with community as potential hinterland, by node center tendency index determine the location of central node and its covered geographical range.Compared with prior art, the application has the advantages of improving the accuracy of urban agglomeration spatial structure analysis, providing fine decision support for urban agglomeration comprehensive transportation planning.

The present invention relates to a method for matching bus numbers with onboard POS terminals, belonging to the technical field of public transportation planning and management. The method comprises obtaining data information of each bus on the bus route to be matched; traversing the arrival and departure timetable of each bus stop; setting an arrival and departure time index; establishing a rectangular assignment problem whose optimization goal is to reduce the total matching error; and calculating the weight matrix w. ij , i∈A, j∈B, the meaning of this value is the matching error; calculate the value w in this matrix ij For multiple routes and multiple days of data, the matching of POS machines and license plate numbers for each day of the routes can be calculated simultaneously, and the data for multiple days can be combined into the same assignment problem. The present invention provides a method for matching bus numbers with on-board POS machines. During peak hours, the frequent departures can be used to effectively and accurately solve the matching relationship between vehicles and POS machines. It supports the calculation of large-scale card swipe data without storing the entire amount of original data in memory, and has high practicality and promotion value.

This invention relates to the field of intelligent production control technology, specifically including a port cargo transportation method based on transportation route planning. The method includes: acquiring port cargo transportation demand; preliminary planning of transportation routes based on ports and cargo transportation destinations; further considering the loading and unloading characteristics of each port to construct a transportation network topology; optimizing configuration through edge computing nodes; and dynamically adjusting transportation routes based on real-time weather and ocean conditions. This solves the technical problem that static data analysis alone cannot perform fine-grained optimization in port cargo transportation planning, often resulting in resource shortages or idle resources, affecting overall operational efficiency. It achieves a balance between minimizing carbon emissions and maximizing resource utilization, optimizes berth allocation and operating time windows, ensures efficient operation of berths and loading / unloading equipment, reduces waiting time and idle resources, and improves resource utilization efficiency.

Embodiments of the present application provide a kind of goods transport route optimization method and device, transport method, equipment and medium, belong to goods transport planning technical field.The method comprises: obtaining the target goods attribute data and the first transport attribute data of transport task in goods transport scene, and the second transport attribute data of transfer network point;Global transport network connectivity graph is constructed based on the first transport attribute data and the second transport attribute data, and global transport network connectivity graph includes multiple graph nodes and multiple node edges;According to target goods attribute data, node attribute data corresponding to graph node and node edge attribute data corresponding to node edge, construct multidimensional route optimization constraint condition;Determine goods transport route optimization target based on global transport network connectivity graph and preset transport mode constraint condition, and route optimization is carried out in combination with multidimensional route optimization constraint condition to obtain target route optimization scheme.The accuracy of goods transport route optimization can be improved by the embodiments of the present application.

The present application belongs to the technical field of complex environment safe flight of unmanned aerial vehicle, and particularly relates to a multi-unmanned aerial vehicle suspended load safe agile transportation planning and control method. First, a coupled dynamics model of a transportation system composed of multiple unmanned aerial vehicles, cables and loads is established, the load position and the direction angle of each cable are taken as flat outputs, the load trajectory and the cable direction trajectory are mapped into the position and state of each unmanned aerial vehicle, and the whole system safety constraint in the obstacle environment is constructed. Then, the flat outputs are segmented and polynomial parameterized, the bounded constraint variables are converted into unbounded optimization variables through differential homeomorphism mapping, the trajectory optimization problem is solved in real time, and the safe reference trajectory is generated. Finally, each unmanned aerial vehicle performs distributed tracking control according to the local state, the expected total thrust and the estimated cable force according to the generated trajectory. At the same time, according to the safety margin, the cable tension margin, the tracking error, the target point change and the load mass estimation error, the online re-planning of the transportation system is triggered.

The invention relates to the technical field of multi-target tracking, in particular to an intelligent public transportation planning method and system based on passenger flow analysis. The method comprises the following steps: acquiring video stream data of a bus on a running route; performing target detection and feature extraction on the video stream data through a multi-target tracking algorithm to obtain passenger features; feature matching is carried out on the passenger features in the video frame images, and labels of the passenger features in each video frame image are determined; and performing trajectory tracking according to the labels of the passenger features, and determining trajectory features of all passengers. According to the method, the driving route of the bus express line is planned through the track features, the track features are coded into the ordered pairs representing the boarding station tracks and the getting-off station tracks of the passengers, and then the occurrence frequency of the same ordered pair code is counted. And when the fast line shifts of the buses are planned, fast line planning is carried out according to the high-heat lines.

The invention relates to the technical field of industrial network security, and discloses a transportation planning method, device and equipment for building components and a medium, and the method comprises the steps: S1, importing a three-dimensional model of a building into Grasshopper, and splitting all components of the building based on component identifiers; s2, creating a local coordinate system of each component for aligning the physical structure of each component, calculating the size of a bounding box of each component, and adjusting the stacking posture of the components based on the size of the bounding box of each component; s3, obtaining the size of a transportation space, and generating an optimal transportation sequence by using a genetic algorithm, and S4, outputting a transportation three-dimensional model, a component list and a three-dimensional model of each component according to the optimal transportation sequence to carry out transportation planning. Based on the combined application of the Grasshopper and the genetic algorithm, the three-dimensional model of each component related to the building can be quickly obtained, the transportation three-dimensional model of the building component can be automatically generated, the quality of transportation planning is effectively improved, and meanwhile, the manpower and time cost is reduced.

The invention discloses a multimodal transport logistics management method, device and equipment based on big data, and belongs to the technical field of logistics management, and the method comprises the steps: collecting multi-source heterogeneous data of a multimodal transport full chain, carrying out the fusion processing of the multi-source heterogeneous data, and constructing a unified logistics data model; based on the logistics data model and the constraint condition of the to-be-transported order, dynamically planning a transportation path from a starting point to a terminal point by adopting a multi-objective optimization algorithm, and generating a plurality of transportation planning schemes; receiving any one scheme selected by the user from the plurality of transportation planning schemes as a current transportation scheme, monitoring the position and state of the cargo in real time according to the current transportation scheme, generating monitoring data, and generating an abnormality early warning event when detecting that the monitoring data is abnormal; and analyzing the abnormal early warning event, generating corresponding scheduling decision suggestions according to different analysis results, and visually displaying the current transportation scheme, the monitoring data, the abnormal early warning time and the scheduling decision suggestions.