32 results about "Public transport 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 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.

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 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 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 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.

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 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.

The application discloses a kind of multi-source data fusion processing methods for public transport network dynamic optimization adjustment, comprising: obtaining multi-source heterogeneous original data, performing standardization processing, generating uniform time reference and multi-source standardized flow;Through reinforcement learning strategy, the data source reliability is estimated on-line, and the event signal after reliability weighting is output;The event signal after reliability weighting is combined with multi-source standardized flow, and line segment level advance demand distribution is predicted and generated;For multi-source standardized flow and multi-source heterogeneous original data, time-varying nonlinear cross calibration model is applied, and real-time congestion degree and short-time stop duration prediction are obtained;Fusion line segment level advance demand distribution, real-time congestion degree and short-time stop duration prediction, generate fine-tuning scheme.The application improves the accuracy of demand prediction and stop prediction.

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 method and system for triggering alarm clock reminding based on a geographic position, and relates to the technical field of geographic information. According to the method and system for triggering alarm clock reminding based on the geographic position, the current position information of a user is obtained in real time through a terminal, the time for arriving at a destination is calculated in combination with a movement route and a movement speed, and when the detected time is within a preset reminding range, a reminding function is activated. The core of the method is that positioning data provided by a GPS, Beidou, Galileo, Glonass and the like are obtained, a motion path is calculated, time prediction is carried out, a multi-sequence priority system is set as a trunk by taking a previous driving route and driving time data as a benchmark, and time prediction is carried out. A double verification process, a priority level increasing system and a priority level adjusting system are formed in combination with a geofence, and a more accurate and diversified reminding function is given; the system supports cross-equipment linkage synchronous reminding, and is suitable for anti-sitting and station-crossing early warning in travel scenes such as public transportation, online car hailing, factory and enterprise regular buses and self-driving navigation.

The invention discloses a multi-mode public transport network dynamic robustness analysis method considering passenger travel behaviors, electronic equipment and a storage medium. The method comprises the following steps: establishing a multi-mode public transport topology network and a multi-mode public transport passenger flow network of each time period; calculating the load and capacity of the site based on a nonlinear capacity load model; in consideration of travel mode selection behaviors and path planning behaviors of passengers, a cascade failure process after station failure is simulated, and a multi-mode public transportation network after cascade failure is obtained; and on the basis of the network maximum connection rate, the network operation efficiency and the passenger flow loss rate after each failure station in each time period, calculating the comprehensive robustness of each station in each time period, and evaluating a station area which is easy to cause cascade failure in each time period on the basis of the comprehensive robustness. According to the method, the passenger flow dynamic time-varying characteristics of the stations and the travel behaviors of passengers are comprehensively considered, the method is used for assisting public transport operators in analyzing the dynamic robustness in the multi-mode public transport network, and decision support is provided for making emergency plans under emergencies.

The invention discloses a vehicle-mounted passenger flow distribution method based on a bus operation timetable, and relates to the field of public transport network computing. According to the method, firstly, a space-time expansion network is constructed in combination with a bus timetable and spatial information, and a Markov decision process-based user equalization strategy including a state space, an action space, a transfer matrix and a value function is established; and then a random user balanced distribution model considering a perception cost error is constructed, a single-node and full-network flow loading algorithm is designed under capacity limitation, and arc flow and available probability distribution are obtained. And forming a calculation process of a dynamic update value function based on the arc flow and the arc available probability distribution result. And iteratively executing network flow loading, value function dynamic updating and convergence judgment by adopting a continuous average method, solving a passenger flow space-time distribution equilibrium solution in a Markov decision process, and obtaining waiting passenger flow of a station in each time period and passenger flow distribution of a train number level.

The invention relates to a congestion analysis method for an urban bus road network. The method is suitable for the technical field of urban intelligent traffic management. According to the technical scheme, the congestion analysis method for the urban bus road network comprises the steps that GPS positioning information of all buses on all bus lines is acquired; fitting the bus GPS positioning information with the road network GIS information to generate a track route of a bus route; the generated track route is segmented according to the road where the track route is located, and route segments corresponding to the road ID of the road are formed; calculating the length of each route section, and calculating the driving time and average speed of each bus on the bus route in each route section; and according to the driving time and the average speed of each bus in each route section on the bus route in a certain time period, determining the bus congestion condition in the route section in the time period.

The invention discloses an urban unmanned logistics transportation method and system by means of an urban public transportation network. The method comprises the following steps: creating an urban unmanned logistics transportation mode by means of the urban public transportation network; according to the urban unmanned logistics transportation mode, constructing an urban unmanned logistics transportation feature data set by means of an urban public transit network; according to the collected urban unmanned logistics transportation feature data set, determining a transportation scheme of cargo cross-regional unmanned consignment by means of an urban public transit network; according to the collected urban area unmanned logistics transportation feature data set, distribution stations distributed to all bus downlink stop stations are determined, the number of buses needed for goods distribution in all distribution sections is calculated, and a transportation scheme of goods cross-area unmanned distribution by means of an urban public transportation network is determined. According to the method, efficient transportation of urban logistics is realized by means of the urban public transportation network, so that the public transportation use efficiency is improved, and the logistics transportation cost is reduced.

The invention discloses a subway network key station identification method and system considering bus substitution, and the method comprises the steps: respectively constructing a subway weighted network and a bus weighted network with the travel time as the weight based on subway and bus station and line data in a research range; the method comprises the following steps of: screening bus stations in a walking range of a subway station through a spatial connection method, constructing an initial bus alternative network, and optimizing to obtain a final weighted bus alternative network by combining walking time, a passenger walking perception coefficient and an acceptable travel time threshold value; and calculating the betweenness centrality, the proximity centrality and the weighting centrality of each subway station, establishing a comprehensive importance calculation model, and identifying the key stations in the subway network based on the comprehensive importance. The method is used for accurately capturing the trade-off relationship between the importance of the subway station in the network structure and the availability of the bus replacement service, and can provide decision support for emergency plan making of a subway system and connection bus network planning.

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.