46 results about "Public transport network" patented technology

The invention relates to a method for measuring the toughness of an urban public transport network in extreme rainstorm weather. The method comprises the following steps: acquiring station and line data of the urban public transport network, rainstorm disaster information and passenger flow data; a bus-subway double-layer traffic network is constructed; based on the constructed bus-subway double-layer traffic network, establishing a linear relation between rainstorm rainfall intensity and passenger flow change, and calculating disturbance values of the rainstorm to stations and connecting edges in the network; constructing a bus-subway double-layer traffic network cascade failure model considering passenger flow, and representing a dynamic evolution process of an urban public traffic network in extreme rainstorm weather; and determining a network performance measurement index by using the constructed bus-subway double-layer traffic network cascade failure model, and measuring the toughness level of the urban public traffic network in extreme rainstorm weather. According to the method, the urban public transport network toughness can be accurately measured, and the coping capacity of an urban public transport system in extreme rainstorm weather is improved.

The invention relates to the field of urban public transport deployment, and provides a public transport network matching method and system based on an urban space structure, which divides urban areas by constructing a traffic model, identifies areas with dense demands on the basis of power consumption density, and provides a public transport network matching method and system based on the urban space structure. And the coverage condition of the existing public transport network on the areas with dense demands is evaluated, and uncovered areas are identified. For the uncovered areas, the information of stores and companies in the map data is used to subdivide the uncovered areas into a plurality of types of areas. A bus rapid transit system is additionally arranged in a commercial district to improve transportation efficiency, a peak period special line is additionally arranged in an office building area to meet commuting requirements, a customized bus special line is provided in an industrial district to meet requirements of specific periods and routes, and a conventional bus route is additionally arranged in a residential district to improve daily travel. Accurate matching between the urban space structure and the public transport demand is realized, and the coverage rate and efficiency of public transport service are improved.

The invention provides a conventional bus resource optimal configuration method and system considering subway toughness improvement, and belongs to the technical field of urban rail transit emergency connection. According to the method, actual factors such as a rail transit and bus network structure, conventional bus transportation requirements, metro emergency connection requirements, limited bus transportation capacity and bus system extension cost are comprehensively considered, and conventional bus service planning and metro interruption emergency response are collaboratively optimized; according to the method, stable operation of conventional buses can be guaranteed, meanwhile, passengers detained in the metro can be evacuated to the maximum extent, the service quality of a rail transit and bus connection mode can be improved, and the public transport network toughness can also be enhanced to the great extent. Meanwhile, in the collaborative optimization process of the conventional bus service and the bus connection service, a Pareto optimal method is introduced in view of the complexity of a dual-objective planning problem, so that efficient solving of an actual scale case is realized, and the method is closer to an actual problem.

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 provides an unmanned aerial vehicle terminal distribution method and system based on a public transport network, and belongs to the technical field of logistics distribution, and the method comprises the steps: obtaining customer information, public transport network information and unmanned aerial vehicle information; establishing a multi-target optimization model for cooperative distribution of the bus and the unmanned aerial vehicle by using the customer information, the public transportation network information and the unmanned aerial vehicle information; the target optimization module takes the minimum cost as a target function and considers time difference constraint, route constraint, load constraint and energy constraint; adopting a non-dominated transformer neighborhood search algorithm of a simulated annealing algorithm acceptance criterion to solve the multi-objective optimization model to obtain an approximate Pareto optimal solution set; the optimal solution set is an unmanned aerial vehicle tail end distribution scheme considering cost, time and risk. Based on the method, the invention further provides an unmanned aerial vehicle tail end distribution system based on the public transport network. According to the invention, through combination of unmanned aerial vehicle electric driving and public transportation network cooperation, multi-objective optimized logistics distribution is realized.

The invention discloses a multi-source data fusion processing method for dynamic optimization and adjustment of a public traffic network, and the method comprises the steps: obtaining multi-source heterogeneous original data, executing the standardization processing, and generating a unified time reference and a multi-source standardized flow; the credibility of the data source is estimated online through a reinforcement learning strategy, and event signals after credibility weighting are output; the event signals after credibility weighting are combined with the multi-source standardized flow, and line segment level advanced demand distribution is predicted and generated; aiming at the multi-source standardized flow and the multi-source heterogeneous original data, applying a time-varying nonlinear cross calibration model to obtain real-time congestion degree and short-time station dwell time length prediction; and fusing the line segment-level advanced demand distribution, the real-time congestion degree and the short-time stop duration prediction to generate a fine tuning scheme. According to the invention, the accuracy of demand prediction and stop prediction is improved.

The invention relates to a traffic flow prediction method based on a high-order traffic map, belongs to the technical field of urban traffic demand prediction, and aims to solve the problems that an existing method generally only establishes a common map corresponding to a traffic network, but an urban public traffic network is complex, and information transmission between traffic nodes and roads cannot be effectively described. According to the traffic flow prediction method based on the high-order traffic map provided by the invention, the high-order neighbor relationship among the traffic nodes in the traffic network is modeled through the time sequence-simple complex network model, and the interaction among the nodes in the traffic map is described through the high-order cross attention technology; the utilization efficiency of information in a traffic network is increased, and the accuracy of traffic flow prediction is improved.

The present invention relates to the technical field of intelligent rail transit, and discloses a method for collaborative compilation of timetables for optimizing the transfer between intelligent rail and buses. The method includes constructing a dual-mode public transportation network and determining all transfer stations for the transfer between intelligent rail and buses therein; calculating the number of departures of each line within the planned time; estimating the transfer passenger flow between each shift of each line within the planned time range; respectively constructing two single-objective integer programming models; calculating the departure time windows of each bus of each line at the transfer stations, respectively optimizing and solving the first single-objective integer programming model and the second single-objective integer programming model to obtain the optimal departure time of the first bus of each line; calculating the optimal departure time of each bus of each line to obtain the timetables of each line in the dual-mode public transportation network. The present invention realizes the dual optimization of the timetables in terms of the number of successful passenger transfers and the total transfer waiting time by constructing two single-objective integer programming models.

A system (100) for realizing an automated inspection of equipment (1) of a public transportation system, characterized in that it comprises at least: - a control system (10) comprising at least one electronic processing unit (12) configured to elaborate an inspection plan for an equipment (1) to be inspected; - at least one drone (30) which is configured to execute said inspection plan, wherein said at least one drone (30) is provided with at least one device (32, 34) adapted to collect data and / or one or more images / videos of said equipment (1) while executing said inspection plan; and wherein at least one of said at least one electronic processing unit (12) and a computer system (35) onboard of the at least one drone (30) is configured to allow identifying an abnormality in the equipment (1) inspected by comparing the collected data and / or one or more images / videos with respective data and / or one or more corresponding images indicative of a reference condition of said equipment (1).

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.

The application discloses a method and equipment for schedule adjustment for interchange coordination in a multimodal transport network, the method comprising: acquiring a key control point set and bus line operation data of a public transport network to be optimized, and solving a schedule adjustment target function based on the key control point set and the bus line operation data to adjust a schedule of the public transport network. In one aspect, the application converts the uncertainty of a bus in road operation into uncertain operation time of the bus in road operation, and eliminates the uncertainty of the bus in road operation through driver self-recovery behavior and slack time, thereby improving the compliance of the optimized schedule with actual conditions. In another aspect, the application incorporates passenger flow data into the schedule adjustment target function, considers the situation of passenger retention caused by the limitation of vehicle carrying capacity, is more in line with the actual situation, and improves the connection between buses and subways.

The present invention provides a bus coordination evaluation device and system based on travel data and GIS clustering. The system consists of a bus data system, a coordination analysis system, a GIS cluster analysis system, a display system, an information transmission device, input and output equipment, and an intelligent mobile terminal. The system is based on big data fusion mining and processing technology, can perform quantitative evaluation of urban bus lines, realize rapid evaluation and analysis of public transportation networks, and provide participatory decision-making for the optimization of urban public transportation networks.

The invention relates to the technical field of public transport passenger flow distribution, and relates to a public transport passenger flow distribution method and system, and the method comprises the steps: obtaining first information which comprises a public transport line set, a station set and a public transport travel set; constructing a public transport network according to the first information; an event-activity expansion network is constructed according to the public transport network, the event-activity expansion network comprises space-time nodes, time-independent nodes and arcs for connecting the nodes, and the arcs have different priorities; based on the event-activity expansion network, establishing a balance condition of user balance priority; the passenger flow distribution model is established according to the balance condition of the user balance priority, the passenger flow distribution model is used for calculating the passenger flow distribution result, the passenger flow distribution model is solved, so that the path selection and the flow distribution of passengers reach a stable balance state, and the reasonable distribution of the public transport passenger flow is realized.

The invention discloses a public transportation service gap identification method based on mobile phone signaling and public transportation data coupling. The method belongs to the technical field of traffic supply condition supervision. The technical problem that research for accurately optimizing the public transit network is still lacked is solved. The method specifically comprises the steps of S1, data collection, S2, data processing, S3, occupational and residential place identification, S4, commuting OD matrix construction, S5, commuting demand index construction, S6, bus supply level index construction and S7, demand-supply matching degree index analysis. The method comprises the following steps: firstly, identifying resident places and residences by using mobile phone signaling data and establishing a commuting OD matrix; respectively quantifying commuting demand intensity and bus supply level; and finally, constructing a demand-supply matching degree index model, and identifying a bus service gap area by utilizing GIS space coupling analysis.

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 invention relates to the technical field of smart city and traffic planning, and discloses a public transport accessibility level map generation method and system based on localized path planning, and the method comprises the steps: S1, constructing a localized public transport network database; s2, based on a public transport network database, calculating the total travel time of all possible public transport travel paths between the starting point grid and the terminal point grid; s3, taking any grid in the research area as a starting point grid, repeatedly executing the step S2, obtaining the shortest travel time from the starting point grid to all grids except the starting point grid in the research area, and forming a travel time matrix; s4, based on the travel time matrix, counting the number or area of grids which can be reached by each grid as a starting point within a preset time, and taking the number or area of the grids as a reachability level quantized value of the grid; and S5, according to the reachability level quantized values of all grids, generating a public transport reachability level map. According to the invention, the calculation cost is reduced.

The present disclosure discloses a park-and-ride route generation method, a system, a device, and a medium. The method comprises: expanding an expanded network node from a starting position to a destination position in the constructed topological relationship between a roadway network and a public transportation network; obtaining, by using a multivariate heuristic function, a minimum cost value from the starting position to the destination position via the expanded network node; and generating a park-and-ride route from the starting position to the destination position according to the minimum cost value. The present disclosure realizes the self-adaptive switching between the roadway network and the public transportation network at the P&R parking lot, and meets the demand for hybrid travel mode involving the roadway network and the public transportation network.

The invention relates to the technical field of data analysis, and discloses a multi-dimensional feature-based connection passenger flow prediction method and device, and the method comprises the steps: obtaining user riding data corresponding to a public transport network and passenger flow influence data associated with the user riding data; preprocessing the user riding data to obtain target riding data; counting historical connection passenger flow data based on a connection passenger flow prediction formula and according to the target riding data; extracting features of the passenger flow influence data and the historical connection passenger flow data based on a multi-dimensional feature processing model to obtain multi-dimensional features associated with the historical connection passenger flow data; and on the basis of a dynamic generalized additive model, according to the multi-dimensional features, calculating the predicted connection passenger flow of any connection station. Therefore, the dynamic prediction of the bus and subway connection passenger flow can be realized on the basis of improving the analysis comprehensiveness of the multi-dimensional characteristics of the bus and subway connection, so that the prediction accuracy of the bus and subway connection passenger flow is improved.

The present invention provides a method for constructing a Voronoi diagram and performing geographical analysis of a multi-modal public transportation network, which includes loading a multi-modal public transportation network, including a road network and an original public transportation network; initializing the multi-modal public transportation network, adding the same virtual node to the generator points in sequence, and searching for the nearest transportation station to the generator points; searching for the shortest paths starting from the transportation stations on the public transportation network, including searching for the shortest paths from the nearest transportation station to the generator points to all other transportation stations; searching for the shortest paths of the multi-modal network, including calculating the shortest paths of all nodes on the multi-modal network, which includes road nodes and transportation stations; constructing a Voronoi diagram of the multi-modal public transportation network to generate an accessible area for each generator point. The method of the present invention can provide an efficient Voronoi diagram generation scheme for geographical space analysis such as service area estimation, infrastructure accessibility assessment, network space optimization, location-based services, etc.

The application discloses a public transport composite network joint optimization method considering heterogeneous demand under low carbon orientation, comprising the following steps: S1, obtaining travel demand data of a target region; S2, constructing a total cost function based on the travel demand data; the total cost function at least includes passenger travel cost, system operation cost and carbon emission cost based on environmental sensitive coefficient for spatial dynamic mapping; S3, establishing a joint optimization model with the target of minimizing the total cost function; the decision variables of the joint optimization model at least include the line spacing, station spacing, departure interval of the subway and the line spacing, station spacing, departure interval of the regular bus; S4, solving the joint optimization model to obtain the optimized network structure parameters; S5, generating a public transport network planning scheme based on the optimized network structure parameters. The heterogeneous demand, multivariable joint optimization and spatial dynamic carbon emission cost are unified.

The application relates to the technical field of urban bus line network and timetable integration optimization, and particularly discloses a bus line network and timetable integration optimization method and device based on graph reinforcement learning. The method is used for generating a bus line network structure and a timetable in a multi-mode public transport network containing BRT, subway and shared bicycles. Firstly, a multi-mode public transport road network is constructed, and passenger flow demand data is obtained; a bus line network design and a synchronous timetable compilation process are modeled as a Markov decision process; according to a current bus line network state, the road network is reconstructed into a heterogeneous graph containing time sequence evolution arcs and spatial topology arcs, and a double attention graph neural network is used to extract candidate node features; according to the node features, an action is selected through an action network, and the bus line network state is updated; the node feature extraction, the action selection are repeated until a termination condition is met, and the bus line network structure and the line timetable are output. The application can generate a bus line network and timetable which are more coordinated with other public transport modes, and reduce the operation cost of bus enterprises and the travel and transfer time of passengers.

This invention relates to the field of public transport passenger flow allocation technology, and specifically to a public transport passenger flow allocation method and system. The method includes acquiring first information, which includes a set of bus routes, a set of stations, and a set of bus trips; constructing a public transport network based on the first information; constructing an event-activity extended network based on the public transport network, the event-activity extended network including spatiotemporal nodes, time-independent nodes, and arcs connecting the nodes, with arcs having different priorities; constructing equilibrium conditions for user equilibrium priorities based on the event-activity extended network; and establishing a passenger flow allocation model based on the equilibrium conditions for user equilibrium priorities. The passenger flow allocation model is used to calculate the passenger flow allocation results. This invention, by solving the passenger flow allocation model, enables passengers' route selection and traffic distribution to reach a stable equilibrium state, thereby achieving a rational allocation of public transport passenger flow.

To provide a technology for efficiently supporting transportation expense payment business of a prescribed amount to an unspecified number of payment object persons.SOLUTION: A transportation expense payment system includes a user computer, a company computer of a company that prompts a user to use a public transportation network in which a destination is designated, a payment computer of a person in charge of payment of transportation expenses to an account designated by the user in the company, and a transportation expense payment device including a processing unit and a storage unit. The processing part stores a financial institution name, an account number, and an account name inputted by the user in a storage part, accepts an application of prescribed transportation expenses based on a departure place and an arrival place inputted by the user, accepts an input of an error in the application as a result of checking the application from a computer in charge of payment, and transmits e-mail for urging the user to apply again.SELECTED DRAWING: Figure 1

The invention relates to the technical field of traffic data processing, and provides a serviceability-based public traffic network wiring method and device in order to solve the problem that the existing public traffic network optimization technology is high in efficiency and low in serviceability experience, and the method comprises the following steps: obtaining station information; the method comprises the following steps: carrying out data modeling by adopting a Space-L and Space-P dual-network model; the normalized design comprises serviceability evaluation indexes of the direct rate, the average in-vehicle direct time, the average direct waiting time, the unreachable penalty, the average transfer times and the public traffic network redundancy, and establishing a multi-objective optimization model; and designing a serviceability-based public traffic network genetic algorithm, and solving to obtain an optimized wiring scheme. According to the method, the optimization model is constructed by comprehensively considering multiple serviceability index factors, so that multi-target public transport network wiring planning is efficiently realized, and the serviceability and sustainable development of a public transport system are improved.

The invention discloses a multi-mode traffic network robustness calculation method under typhoon disasters. The multi-mode traffic network robustness calculation method comprises the following steps: constructing an inter-city public traffic network comprising a plurality of traffic modes; combining the space-time dynamic characteristics of the typhoon disaster to generate an air pressure attenuation model and a typhoon continuous influence model; based on a system vulnerability curve and a Monte Carlo simulation method, calculating failure probability distribution and state of the inter-city public transport network under typhoon disasters; establishing a traffic network cascade failure model according to the failure probability distribution and state of the inter-city public traffic network under the typhoon disaster, and simulating the structure and function loss process of traffic network sites and lines under the disaster condition; and designing a traffic network robustness index calculation system, and quantifying the performance change of the inter-city public traffic network from two aspects of a topological structure and a service function. The influence of typhoon disasters on the traffic system can be accurately quantified.

This application relates to a bus route and stop registration method, system, storage medium, and intelligent terminal, belonging to the field of computer analysis of public transport networks. It includes acquiring bus route and road network data from different sources; identifying missing parts of the road network based on the bus route data to obtain complete road network data; using a preset spatial clustering algorithm to cluster and merge bus stops with the same station but different coordinates to obtain real bus stops; drawing perpendiculars from the real bus stops to the roads corresponding to the complete road network data to obtain the actual nodes of the bus stops in the road network; and obtaining the bus route nodes and stops located within the complete road network data based on the bus route data, and outputting them as registration points. This application has the effect of clustering and merging bus stops from different data, and then drawing perpendiculars to the real bus stops, so that the registered bus stops can restore the actual situation as much as possible, ensuring the accuracy of the data.

The application discloses a kind of typhoon disaster under multi-mode traffic network robustness calculation method, comprising: the construction includes multiple traffic modes of intercity public transport network;In combination with the spatial-time dynamic characteristics of typhoon disaster, pressure attenuation model and typhoon sustained influence model are generated;Based on system vulnerability curve and Monte Carlo simulation method, the failure probability distribution and state of intercity public transport network under typhoon disaster are calculated;According to the failure probability distribution and state of intercity public transport network under typhoon disaster, a traffic network cascading failure model is established to simulate the structure and function loss process of traffic network sites and lines under disaster conditions;Design a traffic network robustness index calculation system to quantify the performance changes of intercity public transport network from both topological structure and service function.The application can accurately quantify the influence of typhoon disaster on the traffic system.

The invention discloses an optimization method and system of an urban area public transport network, and relates to the field of public transport planning, and the method comprises the steps: constructing a three-index system based on a road segment dynamic interaction index, a passenger flow space-time demand index and a subway collaborative transfer index; according to the public transit network data, using a three-index system to obtain a backbone line; constructing a target function by taking the bus route operation cost, the daily average load factor of the network, the transfer subway passenger flow and the energy efficiency index of the bus network as variables; and randomly selecting a preset number of bus lines and the backbone lines to form a bus network, taking a plurality of bus networks as a population, taking the target function value of each bus network as a fitness value, and obtaining an individual with the optimal fitness value in the population by using a genetic algorithm to serve as an optimized bus network. The circuit operation efficiency can be improved.

The invention provides a cascade failure analysis method for a hub connection public transport network based on a capacity load model, aiming at the cascade failure analysis problem of the passenger transport hub connection public transport network. Comprising the following steps: (1) extracting site operation intensity, determining site capacity, and establishing a capacity load model to redistribute failure passenger flow; (2) station repair time is determined, a model is established to analyze a failure passenger flow recovery propagation mechanism, and station loads are updated; and (3) extracting network efficiency evaluation indexes, analyzing key parameter influences, and proposing optimization suggestions. According to the method, a double-layer public transportation network coupling method is provided, a traffic hub connection public transportation network passenger flow transfer full-period simulation model is established, a theoretical basis is provided for traffic hub connection network organization optimization, and the overall service level of a traffic hub is effectively improved.

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.