24 results about "Transit network" patented technology

The invention discloses a public transportation network reconstruction method under urban rail networking operation, and the method comprises the steps: obtaining multivariate travel data, carrying out the data-driven calculation of passenger flow OD, and providing scientific data support for network planning; meanwhile, when the whole line network is established, a backbone network and a connection network are adopted to simplify levels, technical indexes and service standards of all the levels are defined, actual passenger flow distribution is accurately measured and calculated, and the reasonability of line planning is ensured; and meanwhile, by establishing a three-dimensional matching index system, quantifying the difference between the current situation and the ideal network, and by differentiating schemes and implementing priority ranking, lines with large difference are optimized according to priorities, so that gradual optimization of the whole network is realized, large-scale oscillation is avoided, and finally reconstruction of the public transport network is realized. A complementary situation with urban rail transit is formed, redundant waste of public traffic design is avoided, and meanwhile, residents can go out more conveniently by optimizing lines.

The invention relates to the technical field of intelligent bus prediction, in particular to an intelligent bus kiosk real-time bus prediction method and system. The method comprises the following steps: acquiring a bus route vector data set, and determining a bus operation chain topology table according to the bus route vector data set based on a bus network spatio-temporal topology coupling strategy; acquiring a real-time severe weather influence data set, and constructing a bus station pressure propagation network based on a traffic node load distribution strategy according to the real-time severe weather influence data set and the bus operation chain topology table; on the basis, predicting dynamic pressure influence on each bus station and each bus route caused by negative influence caused by real-time severe weather and a networked conduction path of the dynamic pressure influence, and determining a dynamic coupling disturbance conduction network; and according to the dynamic coupling disturbance conduction network, carrying out real-time prediction on the bus condition in the bus operation chain topology table, and outputting and pushing prediction information. According to the invention, the operation state of the bus in the dynamic scene is accurately predicted.

A method for configuring a first autonomous system in a transit network is described. The method includes obtaining information according to which the traffic received by an ingress router of the first autonomous system is saturated, and determining a prefix of a destination subnet of a third autonomous system downstream of the first autonomous system. The method also includes extending the path associated with the prefix on at least one target router of the first autonomous system, the prefix and the at least one target router being determined by optimizing an objective function so that the path associated with the prefix must be extended for all the ingress routers of the first autonomous system which are geographically closer to the saturated router than the target router.

The application discloses a bus passenger trip planning method based on a multiple graph, and steps of the method comprise the following steps: 1. obtaining an original bus network; 2. generating a direct link multiple graph based on the original bus network; 3. constructing a passenger super-path sub-network based on the multiple graph and passenger trip information; 4. recommending an optimal trip path to the passenger according to an optimal strategy distribution principle; and 5. tracking the passenger position in real time and dynamically adjusting the recommended trip path. The application can recommend more abundant trip path schemes from the passenger's perspective, give the passenger more free selection space, dynamically adjust the trip path scheme to a certain extent, adapt to the change of a traffic environment, thereby meeting the path selection under various environments, greatly simplifying the process of searching for a trip path, and improving the path search efficiency.

This invention discloses a method and apparatus for assessing the importance of stations, belonging to the field of transportation networks and propagation dynamics technology. It addresses the problem that existing methods for assessing station importance fail to fully reflect operating routes and rely on global network topology information based on shortest paths, leading to relatively time-consuming calculations of the impact of distant stations on station importance. The method includes: constructing a bus-metro dual-layer network, a node network, a route network, and a bipartite graph network based on the bus and metro networks; determining the community structure and community center nodes of the node network using a community mining algorithm to form an enhanced node network; determining the preliminary importance of each second node based on the enhanced node network, and determining the preliminary importance of each third node based on the route network; and determining the final importance of the second nodes included in the node network based on the bipartite graph network, the preliminary importance of each second node, and the preliminary importance of each third node.

The invention relates to a bus timetable synchronization and cross-line scheduling method for a fuel-electric hybrid fleet, and the method comprises the steps: constructing a data set according to bus network information, including lines, transfer stations, passenger arrival rates, driving time and power consumption; constructing a multi-target integer programming model which minimizes the operation cost of a bus company and the waiting time of passengers and maximizes the number of convenient transfer times; an NSGAII-SA-PSO nested heuristic algorithm is designed, and the most suitable algorithm is allocated to decision variables with different characteristics, so that the quality of the solution is improved. According to the invention, through timetable synchronization and vehicle cross-line coordination, the operation efficiency of buses is significantly improved, and the travel experience of passengers is effectively improved.

A photovoltaic bus stop board with a shared charging function provided by the present invention comprises a bus stop board body, the top of the bus stop board body is provided with a photovoltaic panel, the left end of the inner side of the bus stop board body is fixedly connected with a mounting plate, and the mounting plate is provided with a shared power bank power supply box. A driving box is correspondingly arranged above the shared power bank power supply box, and the driving box is also fixedly installed at the left end of the inner side of the bus stop board body. Full-color photoelectricity, photovoltaic energy storage and shared economy are fused, shared charging is reconstructed by relying on a bus network, photovoltaic panel power generation is subjected to voltage stabilization and energy storage through an energy storage module, and the energy storage module is connected with the shared power bank power supply box. Multi-specification voltages are converted for power banks, illumination and the like, and power grid dependence is avoided; a motor, a gear and a screw in the driving box drive the protective cover to ascend and descend, a control switch can be pressed to start to take the charge pal and close protection, 'upper taking and lower taking 'can be achieved at multiple stations, and the problems that a traditional station board is single in function, and shared charge pals are difficult to return are solved.

The application provides a kind of urban multi-mode traffic network post-disaster repair strategy efficiency evaluation method and system, belongs to the technical field of urban traffic operation management, constructs multi-mode traffic network structure model using road network and bus network open source data;Using traffic travel demand data to simulate urban traffic distribution, construct multi-mode traffic network function model;Based on multi-mode traffic network function model, according to the spatial distribution characteristics of disaster and post-disaster network repair strategy, construct multi-mode traffic network structure recovery model, evaluate the efficiency of structure recovery;Based on multi-mode traffic network structure recovery model, reload travel demand, construct multi-mode traffic network function recovery model, evaluate the efficiency of function recovery.The application can comprehensively consider various traffic modes and the complex dynamic game between travelers, provide more accurate and more comprehensive repair strategy evaluation, can enhance the resilience of urban integrated transport system, so that it can better cope with various disasters and emergencies.

The invention discloses an over-path traffic solving method for a completely-crowded large-scale public transportation network, and the method comprises the steps: obtaining a getting-on arc and a corresponding effective departure frequency through a first algorithm; the second algorithm calculates the use probability of passing through all the upper turning arcs under the super path, so that the complete upper turning arc flow distribution of the super path, the use probability vector of the upper turning arcs and the use probability vector upper turning arcs of the nodes are obtained; then, adopting column generation to construct an OD pair sub-problem, and determining the optimal transfer amount from a non-reference super path to a reference super path in the OD pair sub-problem through binary search; and the fourth algorithm obtains an over-path traffic equilibrium solution under the public transportation network equilibrium condition. Therefore, by setting the first algorithm, the second algorithm and the like, a complete algorithm capable of processing large-scale public transportation network distribution is constructed, so that the super path is constructed based on the effective departure frequency, and the method is suitable for practical application of the city-level large-scale public transportation network.

The application belongs to the field of network security and communication privacy protection. A hidden network construction method combining anonymous network and protocol camouflage includes constructing an initial hidden network overall framework, wherein the initial hidden network overall framework includes an initial source protocol camouflage and an initial transit network path jump; according to the protocol camouflage of the tunnel, the initial source protocol camouflage is adjusted by selecting a tunnel to obtain a target source protocol camouflage; the initial transit network path jump is configured by using a transit node to obtain a target transit network path jump; and the target source protocol camouflage and the target transit network path jump are verified to obtain a target hidden network overall framework. Through the above method, the subject information of network behavior can be disturbed, and problems such as privacy leakage and attack positioning caused by user feature portrait in the big data era can be effectively avoided.

The invention relates to a bus route contract scheme optimization method and device. According to the method, a three-layer planning model is constructed based on three-party interaction logic of a system planning end, an operator end and a passenger end in a public transit network; solving the three-layer planning model by using a nested generalized Benders decomposition algorithm to obtain a line contract scheme and a corresponding service frequency scheme which minimize the total cost of the system; based on tested bus network data, a numerical experiment is carried out on a line contract scheme and a service frequency scheme to obtain an experiment result, and the method has the advantages that strategy interaction of a system planning end, an operator end and a passenger end can be accurately described, efficient solving is carried out through a nested decomposition algorithm, and the system performance is improved. And finally, outputting an optimal line contract and frequency setting scheme with the total social cost being minimized.

The application relates to a bus schedule synchronization and cross-line scheduling method for a hybrid electric vehicle fleet, comprising the following steps: constructing a data set according to bus network information, including lines, transfer stations, passenger arrival rates, travel times and power consumption; constructing a multi-objective integer programming model for minimizing the operating cost of a bus company and passenger waiting time and maximizing the number of convenient transfers; designing an NSGAII-SA-PSO nested heuristic algorithm to assign the most suitable algorithm to different characteristic decision variables, thereby improving the quality of the solution. Through schedule synchronization and vehicle cross-line coordination, the application can significantly improve the operating efficiency of the bus and effectively improve the travel experience of passengers.

The application discloses a city traffic network evaluation and optimization method and system based on different interests, and relates to the technical field of traffic network analysis. Firstly, based on road network information, traffic flow and passenger flow data, three directed and weighted complex networks representing different interests are constructed: high-speed traffic and convenience network, urban motor vehicle road traffic and convenience network, and public transportation network. Then, the weighted edge community detection algorithm is used to divide each network into communities, and the traffic flow, passenger flow, vehicle speed and average travel time of each community area are evaluated. Through network connectivity analysis, the traffic accessibility of each area is evaluated. Combined with population density, enterprise distribution and other data, the weighted vertex importance algorithm is used to identify important nodes and evaluate their rationality and role. Finally, according to the evaluation results, optimization schemes such as road repair, widening, new road construction and additional public transportation lines are proposed.

A method and system for preprocessing and query stages for a trip-based public transit routing algorithm, which is used for multimodal routing computations, clusters the public transit network and computes relevant network parts when transiting between different clusters in order to prune the search at query time. The processing phase is modified to use only a subset of the network, depending on the clusters associated to the origin and destination locations.

The application discloses a subway-bus network cascade fault prediction method and related device, including the following steps: constructing a subway-bus double-layer network model with transfer points; determining the importance of each node in the subway-bus double-layer network model with transfer points; obtaining the load of each node, and calculating the capacity of each node according to the load of each node; according to the capacity and importance of each node, judging whether the node with importance greater than a preset threshold value has an accident type overload, and when the node with importance greater than the preset threshold value has the accident type overload, the node is taken as an overload node; and according to the type of the overload node, the method and related device can associate different node states with load abandonment and load transfer of node passenger flow, and realize load adjustment of the node.

The application discloses a kind of urban public transport network optimization method considering scheduling, comprising: processing bus card data, vehicle shift data, line site data, analyze the influencing factors in the process of passenger line;For the influence factor analysis of passenger riding habit, vehicle shift, analyze the influence relationship of the selection of each type of passenger line and riding habit, respectively with the same bus station OD inter-route selection proportion and Person correlation coefficient define its correlation degree, obtain the Pearson correlation coefficient of the selection of different types of passengers and shift;Through the actual-virtual bus network construction mode, construct line and scheduling synchronous optimization model, optimize the output optimization result by the line site layout and vehicle scheduling synchronous optimization by the constructed model.The application considers the influence of vehicle scheduling in the process of public transport network optimization, optimizes the layout of public transport network and vehicle scheduling simultaneously;It is convenient for passenger travel, reduces travel cost.

The invention discloses a bus network intelligent scheduling method based on a machine learning model, and belongs to the technical field of data processing, and the method comprises the following steps: receiving network sensing data, generating a network operation situation snapshot when detecting that the network sensing data has an abnormal evolution trend, and transmitting the snapshot to a scheduling information coordination processing unit, each scheduling information entry is generated; calling each scheduling information entry for overlapping detection, outputting an overlapping relation matrix, and dividing to obtain a normal scheduling information set and each conflict scheduling information set; machine learning model training parameters of all conflict scheduling information entries are obtained, a model historical stability index and a model generalization credibility index of a machine learning model are obtained through analysis, and all conflict scheduling execution instructions are obtained through screening according to the model historical stability index and the model generalization credibility index so as to execute public transit network intelligent scheduling. The technical problem that in the prior art, different scheduling information has deviation and inconsistency in the state cognition level is solved.

The embodiment of the invention provides a method and device for generating minimum stations of a direct line and electronic equipment, and relates to the technical field of information processing. According to the method, the station names contained in all the traffic lines are sorted, the station names in the line information of all the traffic lines are updated into the station indexes, unstructured station names can be converted into ordered numerical identifiers, and standardized and indexed expression of line data is achieved. And directly calculating the minimum station number on the same line between any two station indexes based on the line index table, and finally generating a minimum station nonstop matrix covering all station pairs. By introducing a station index mechanism, frequent character string matching operation in a traditional method is avoided, and the time complexity of data search and path calculation is remarkably reduced, so that the generation efficiency of the minimum station nonstop matrix in a large-scale public transportation network is improved, and the real-time response capability of a path planning function in an intelligent public transportation system is enhanced.

The invention relates to a bus riding guiding system which comprises a vehicle-mounted subsystem, and the vehicle-mounted subsystem comprises a high-precision positioning device, a vehicle-mounted communication module and a vehicle-mounted riding guiding screen which are installed on a bus. The data processing center subsystem comprises a data receiving and preprocessing module, a topological algorithm analysis module and an information synchronization and push module; the platform subsystem comprises an intelligent electronic station board and a platform communication module; the high-precision positioning equipment acquires vehicle position data in real time and transmits the vehicle position data to the data processing center subsystem through the vehicle-mounted communication module; the topological algorithm analysis module is based on a topological structure model of a public transportation network, combines the real-time position and speed data of the vehicle through a topological algorithm, and calculates the position states of the vehicle in and out of the station and between the stations. Therefore, according to the system, the RTK-GPS equipment supporting multi-galaxis combined positioning is deployed at the non-shielding position in the middle of the roof of the bus, and accurate data of the bus can still be stably obtained even in complex urban environments such as high-rise shielding and tunnels.

Disclosed are techniques for secure transmission of encrypted data. A system can include: ingress nodes that receive encrypted data that doesn't specify a destination from computing devices, transit nodes connected to the ingress nodes that route the data through next hop nodes, and egress nodes connected to the transit nodes that route the data to services. The ingress, transit, and egress nodes collectively provide a transit network of next hop connections, where each node knows only its direct next hop nodes, where each next hop node has its own secure connection for data transmission. Each node can request health or latency information from each next hop node with respect to each next hop node's secure connection for data transmission, select an available next hop node based on the health or latency information, and securely transmit the encrypted data over a secure communication of the selected next hop node.

The application discloses a bus distribution method under complete congestion, comprising the following steps: introducing a super-path structure into a bus network to express a travel route selection strategy of passengers; reconstructing a super-path flow loading problem into a monotone VI sequence along a super-path topology node sequence to obtain a super-path flow loading scheme; constructing a super-path flow loading algorithm based on a gradient projection to execute the super-path flow loading, so that the corresponding arc flow distribution, arc use probability and node use probability of each node of each super-path are obtained. Thus, for a problem without capacity constraint, a column generation algorithm is introduced based on the super-path framework to realize local adjustment and rapid equilibrium of the super-path flow in the super-path set of each OD pair. For a problem with capacity constraint, the super-path framework and the augmented Lagrange method are combined to obtain a high-precision feasible solution under the condition of satisfying the capacity constraint.

The invention relates to the technical field of intelligent transportation, and discloses a method for acquiring a public transportation network, which comprises the following steps: acquiring the number of people getting on and getting off a bus in a plurality of grid areas in a first preset time period; obtaining a first candidate bus stop corresponding to the first preset time period according to the number of passengers getting on the bus and the number of passengers getting off the bus in each grid region in the first preset time period; acquiring first driving time and first travel demand quantity between the first candidate bus stops; according to each first candidate bus stop, each first driving time and each first travel demand, constructing a first traffic model diagram; and inputting the first traffic model diagram into a preset public transportation network acquisition model to obtain a target public transportation network of the preset area. According to the method, the efficiency and practicability of obtaining the public transportation network can be improved. The invention further discloses a device for acquiring the public transportation network, electronic equipment and a storage medium.

The application discloses a kind of city intelligent public transport scheduling method and system based on Internet of Things, including the traffic influence coefficient of gathering city multi-source traffic information calculation, construct city public transport network time-varying diagram carries out flow propagation prediction each future state feature of public transport station, calculates the dynamic adjustment vehicle station time of vehicle head time interval, calculates the support demand index to determine the station to be supported, the support weighted demand index of corresponding neighborhood station of the station to be supported is selected to support vehicle.The method not only can improve the efficiency and accuracy of city public transport scheduling, but also has good interpretability, can be directly applied in city intelligent public transport scheduling system.

A novel approach for configuring network infrastructure and connectivity that allows custom, adaptive, and cooperative interplay between all provisioned members is identified. It introduces the term “Vapornet” that represents a network cloud that extends to edge devices that may be dynamically added, removed, and configured to provide services to participants. Every Vapornet user has a distinct view of services provided by the traditional cloud along with mobile and other edge devices via his own name space. Service entities may be in the network infrastructure, or distributed within multiple edge devices, networks, or Internet. Additionally, it identifies instantiating and / or activating physical or virtual functions opportunistically in transit networks and user devices for improving service availability and quality of experience. It identifies instantiating server agents in client devices that facilitate connectivity and resource access functions in a partitioned network when connectivity to original servers is lost.