46 results about "Public transport" patented technology

This invention relates to the field of control methods for public transportation equipment, specifically to a control method for LED wall washer lights for driver fatigue wake-up in long tunnels. The method includes: calibrating driver fatigue-sensitive sections in each spatial unit of the entire tunnel and completing alignment; updating the vehicle's spatial unit and collected parameters in real time to classify the driver's real-time fatigue state; generating a fatigue wake-up light signal encoding parameter set for the vehicle corresponding to the current driving tracking ID, the current fatigue state, and the current spatial unit; and driving the wall washer lights to generate optical flow signals according to the set parameters. This invention constructs an optical flow signal framework deeply bound to the driving state, simultaneously achieving both fatigue wake-up and directional navigation functions. It also binds the driver's real-time fatigue state classification to a stepped stimulation level, ensuring that the optical flow signal only acts on the surrounding visual area corresponding to the tunnel sidewall, without interfering with the driver's observation. This spatial distribution eliminates the interference of dynamic lighting on normal driving observation.

We provide the system. [Solution] A terminal that collects user lifestyle pattern data, An information processing device that analyzes the data and evaluates the user's environmental impact, A generative model that generates environmentally friendly behavioral options, Information and communication means for notifying the user of the options, A data analysis method that evaluates environmental impacts and generates proposals based on citizens' behavioral data, A means of presenting options that suggest energy consumption and the use of public transportation, A system that includes this.

This invention discloses a method and system for optimizing community bus service zones and sub-zone routes based on connection resistance, comprising the following steps: S1, constructing a main model for community shuttle bus service zones based on finite center-subordination rules to obtain the service sub-zone allocation scheme for community shuttle bus stops; S2, for each service sub-zone, constructing a sub-model for optimizing community shuttle bus service routes based on bus service impedance index to obtain shuttle bus service route schemes for each sub-zone connecting to public transportation hubs, determining whether the minimum service standard for shuttle buses is met by checking the connection resistance; for all sub-zones that fail the connection resistance test, adding the corresponding sub-zone partitioning constraint set to the main problem, and returning to S1 to resolve the main model until all shuttle bus route schemes for each sub-zone pass the test. This invention, through connection resistance testing, makes the designed community shuttle bus connection routes more competitive in service compared to shared bicycle travel.

Provide a system. 【Solution means】 When the user cancels the authentication of the information terminal, Means for collecting usage data in the information terminal, Means for analyzing the collected usage data, Means for presenting the optimal software and operations based on the analysis results, Means for executing the software when the presented operation is selected, Means for obtaining and presenting the operating status and travel information of public transportation means, Means for providing availability data of sharing services, A system including these.

This invention discloses an adaptive adjustment method for USB charging power in public transportation, relating to the field of power control technology. The main steps include: First, acquiring the total power budget available for USB charging and the power requirements of each charging port in real time; then, determining whether the total power budget meets the total demand: if it does, allocating power to each port that does not exceed its rated power and matches the device's requirements; if not, setting a control coefficient for the port based on the device's battery level (the lower the battery level, the higher the coefficient), and calculating a global scaling coefficient based on the total power budget and the control coefficient, then combining both to allocate power to each port that does not exceed its rated power, ensuring that the total power supply does not exceed the budget; finally, controlling each port to output power according to the allocated power and returning to the initial steps, achieving dynamic cyclic adjustment. This invention reduces vehicle hardware costs and energy consumption, improving the overall vehicle's economy and cost-effectiveness.

This enables appropriate control of user entry and exit on public transportation systems. [Solution] The entry / exit control device 100 controls the user's entry based on the identification information of the medium obtained when the medium is read by the reader. After the user enters, the entry / exit control device 100 obtains the balance of monetary value corresponding to the identification information of the medium from a monetary value management system that stores the balance of monetary value, as a temporary balance of monetary value to be used to control the user's exit.

This invention discloses a multi-strategy fusion method, system, and terminal for inferring missing origin and destination points in public transportation trips, belonging to the field of public transportation data processing technology. The method includes: acquiring initial traffic data; preprocessing the initial traffic data to obtain standard trip data, which includes complete trip data and missing trip data, wherein the missing trip data consists of trip records with missing boarding and / or alighting stations; sequentially employing multiple inference strategies in descending order of confidence to infer missing stations in the missing trip data, terminating subsequent strategies after any strategy successfully infers the missing stations; and filling in the inferred missing stations into the missing trip data to obtain target traffic data containing complete origin and destination point information. This invention achieves the beneficial effect of high coverage and high accuracy in completing public transportation trip origin and destination points by progressively invoking multiple inference strategies in descending order of confidence.

This enables appropriate control of user entry and exit on public transportation systems. [Solution] The entry / exit control device 100 controls the user's entry based on the identification information of the medium obtained when the medium is read by the reader. After the user enters, the entry / exit control device 100 obtains the remaining balance of monetary value corresponding to the identification information of the medium from a monetary value management system that stores the remaining balance of monetary value. The entry / exit control device 100 determines whether the remaining balance of monetary value is equal to or greater than a predetermined fare. If the entry / exit control device 100 determines that the remaining balance of monetary value is equal to or greater than a predetermined fare, it controls the user to allow them to exit.

1. The name of the design product: bus. 2. The use of the design product: for urban public transport. 3. The design points of the design product: in shape. 4. The picture or photo that best shows the design points: perspective view 1. 5. Other circumstances that need to be explained: the bottom and top of the design product are parts that are not easy to see or cannot be seen during use, so the top view and bottom view are omitted.

This disclosure provides a fault detection method, a fault detection model training method, an apparatus, and a railcar, which can be applied to public transportation and fault detection technology. The fault detection method includes: determining vibration characteristics based on vibration trend data obtained from multi-dimensional vibration signals during equipment operation; constructing a hierarchical structure based on the vibration characteristics, wherein each level in the hierarchical structure includes at least one node, and the node represents fault information of a fault existing in the equipment; analyzing the temporal characteristics of the hierarchical structure to obtain fault detection results, wherein the fault detection results include multiple fault information items arranged in priority order, and the priority order represents the degree of impact of the fault on the equipment.

The application discloses a kind of wisdom rail line network synergic carbon reduction operation optimization method, system and equipment, it is related to urban public transport energy-saving scheduling and low-carbon operation technical field, it is based on the dynamics characteristics of wisdom rail vehicle and power grid carbon emission factor to construct the quantification model of fine section level energy consumption and carbon emission, utilize deep learning network to fuse multi-source data to carry out cross-line short-time passenger flow prediction, and real-time passenger flow demand, energy consumption carbon emission index and intersection signal phase time window constraint are unified into multi-objective collaborative optimization framework, by the mixed integer linear programming solution under rolling horizon, the joint optimization and dynamic closed-loop control of dispatch interval, section operating speed and road right strategy are realized, so that on the premise of guaranteeing passenger flow transport demand and service quality, the total energy consumption and carbon emission of wisdom rail line network are significantly reduced, and the energy-saving and carbon-reducing operation goal of line network level is achieved.

The present application relates to a kind of passenger flow prediction model online self-optimization method and system.The passenger flow prediction model online self-optimization method includes: obtaining relevant multi-source associated data when receiving alarm event;Calibrate the position of alarm event according to multi-source associated data;Extract scene characteristic parameters according to the position after calibration;Scene-based online training is carried out to passenger flow prediction model based on scene characteristic parameters, to obtain the optimized model adapted to current scene;Based on the optimized passenger flow prediction model, obtain the passenger flow prediction result of current scene.The present application is helpful to realize the online self-optimization of passenger flow prediction model, adapt to the characteristics of the instantaneous change of urban public transport passenger flow scene, greatly improve the timeliness of passenger flow prediction model online training, provide high adaptability technical support for the real-time, precision of urban public transport operation scheduling.

We will provide new technologies to offer transportation-related services to users of public transportation. [Solution] The disclosed computer system includes a database in which each of a plurality of boarding and alighting stations on a transportation route is associated with a spot in the vicinity of the boarding and alighting station, and each spot is associated with first attribute information indicating the attributes of the spot. The processor of the computer system performs an operation that includes identifying a boarding or alighting station or route that matches the user's preferences, based on second attribute information of the boarding or alighting station or the route determined according to the first attribute information of the spot in the vicinity of the boarding or alighting station, and preference information indicating the user's preferences regarding the spot.

The present application relates to a kind of large passenger flow early warning threshold dynamic calibration method, system and electronic equipment.The large passenger flow early warning threshold dynamic calibration method includes: based on historical accident multidimensional feature construction accident image base;From accident image base, extract main risk inducement and secondary risk inducement, to form multiple risk inducement combinations;Based on association rule mining model, the mapping rule between risk inducement combination and passenger flow critical condition is established;According to the real-time risk inducement combination corresponding to current passenger flow scene, the passenger flow critical condition corresponding to this real-time risk inducement combination is matched from mapping rule;Based on corresponding passenger flow critical condition, update existing early warning threshold.The present application is helpful to realize the dynamic calibration of large passenger flow early warning threshold, improve the adaptation ability of early warning threshold to different passenger flow risk scenarios, so as to improve the accuracy and reliability of large passenger flow early warning, provide high adaptability technical support for public transport large passenger flow safety control.

The utility model relates to a kind of gas mist rubber valves, it includes: valve body, the outer side of butt joint is equipped with sealing cup, the inner chamber of valve body is provided with valve stem, the butt joint with the butt joint of sealing cup is provided with sealing ring assembly, and the outer side of valve body is detachably connected with rubber tube assembly. The rubber tube assembly is set, then in the state of vacuumizing, the rubber tube is sleeved in the outside of valve body, and reagent is loaded into the inside of valve body, the valve body loaded with reagent gradually expands, and by selecting rubber tube as propellant, it is more environmentally friendly and safe, and it can be carried on all public transport when going out, and the hoop of installation state has connecting structure between valve body and rubber tube by elastic rope, and rubber tube installation is more stable. By setting sealing ring assembly, the sealing property of butt joint and sealing cup butt joint can be improved in installation state, effectively reduce the situation that valve body appears gas leakage.

The application discloses a kind of automobile non-driving area auxiliary braking method and related device, it is related to automobile industry field.In the present application, when vehicle body controller detects that driver is in off-seat state and vehicle is not parked, it will control the warning signal of parking of in-vehicle instrument and auxiliary braking equipment, if auxiliary braking equipment is started effectively, vehicle body controller is under the condition that judging that current vehicle speed is less than set threshold value, and shielding function is invalid, control vehicle parking, and control in-vehicle instrument display parking completion prompt information.This way, auxiliary braking equipment is installed in the passenger area in the car or above the wheel cover outside the car, etc.Non-driving area, even when the driver is off-seat or the driver cannot continue normal driving, in-vehicle passenger or pedestrian outside the car can discover the abnormal driving state of vehicle in the first time based on the alarm information of auxiliary braking equipment and in-vehicle instrument, and make braking measure, so as to greatly improve the safety of public transport.

This invention discloses a hybrid graph convolutional neural network (GCN) traffic cell modeling method and system that incorporates an attention mechanism. The method includes steps such as graph data definition and preprocessing, node feature mapping, neighborhood information aggregation, graph convolutional propagation, network layer stacking, and model training. In the neighborhood information aggregation stage, a single-head attention mechanism is introduced to differentially weight different neighbor nodes. This improves the ability to express potential travel attraction relationships and spatial heterogeneity between traffic cells while maintaining the stability of the GCN structure's normalized propagation. This invention significantly enhances the spatial feature expression and interpretation capabilities while maintaining model stability and training efficiency. It can be widely applied to travel destination prediction, urban functional zoning, traffic attraction analysis, and intelligent transportation system construction, providing technical support and decision-making basis for traffic planning, travel demand analysis, and public transportation optimization.

This invention discloses a method for selecting connection points in collaborative transportation between urban public transport and unmanned aerial vehicles (UAVs), belonging to the technical field of logistics and distribution systems. The method includes: acquiring relevant data; preprocessing urban road network traffic flow data, performing K-means clustering on the preprocessed data to divide the time periods of different daily traffic flow patterns; extracting urban public transport trajectory data features within the target road section, obtaining the road segment operation trajectory features for the time period of that road section through clustering; modeling and analyzing each type of road segment, constructing the time series of each type of road segment using difference equations; calculating the expected value of comprehensive road segments based on the road segment operation trajectory features and characteristic travel times using fuzzy comprehensive evaluation; using a fuzzy compromise method to determine the demand weight of POI data; and using an annealing algorithm for connection point selection. This invention achieves scientific and intelligent connection point selection, effectively improving the efficiency of last-mile collaborative logistics distribution.

The present invention discloses a method for determining the charging and swapping strategy of electric buses considering battery degradation effects, which relates to the technical fields of urban public transportation and electric vehicle energy management. According to the information of the electric bus system, the working processes of electric buses passing through the starting station, swapping station, and terminal station are designed. Further, a charging and swapping decision-making model including an objective function and constraint conditions is constructed, and a battery degradation cost function is introduced. By discretizing the decision-making model and using a standard solver for solution, the optimal strategies of the charging amounts of each electric bus vehicle at different travel stages and whether to perform swapping operations are determined. The present invention can reduce the degree of battery degradation and the daily operating cost of the system on the premise of meeting the constraints of continuous vehicle operation and facility capabilities, and is applicable to the operation decision-making and management of electric bus systems with in-transit swapping conditions.

This invention discloses a dynamic scheduling method for the entire lifecycle of a bus fleet based on hierarchical reinforcement learning, belonging to the field of dynamic intelligent scheduling technology for urban public transport systems. The method first constructs a bus information collection module to acquire real-time operational data throughout the entire lifecycle, building a virtual scheduling environment that matches actual operational rules. Then, the entire bus operation cycle is decomposed into three levels: upper-level departure timetable scheduling, middle-level joint scheduling of stops and operating speeds, and lower-level joint scheduling of intersection signal priority and traffic speeds, constructing independent Markov decision processes for each level. Next, through a hierarchical progressive training framework, the strategies of each level are trained sequentially, first the lower level, then the middle level, and finally the upper level, to obtain a full-cycle collaborative scheduling model. Finally, based on the model, a real-time scheduling strategy is output, achieving closed-loop optimization of the entire bus lifecycle. This invention can effectively suppress bus queueing and delay propagation, significantly improve bus punctuality, reduce passenger waiting time, and has strong engineering applicability.

A monitoring apparatus (100) includes a timetable acquisition unit (102) that acquires an estimated arrival time of a public transportation means at a boarding station of the public transportation means, and a control unit (104) that controls at least one of a camera being installed at the boarding station and a processing frequency of a first image being generated by the camera, by using the estimated arrival time.

A method, system, device, and storage medium for public transport scheduling are provided. The method includes obtaining extensive traffic information; determining a target traffic scheduling model from a plurality of different traffic scheduling models in which the different traffic scheduling models are used to predict public transport scheduling information of different lengths of time; and inputting the extensive traffic information into the target traffic scheduling model to predict the public transport scheduling information of a corresponding length of time.

A token-based biometric payment processing system facilitates point-of-sale (POS) processing of payments. A biometric identification provider (BIP) receives a single-use token (SUT) from a payment processor (PP). The SUT is associated at the PP with a payment account on file (PAOF) and with an identity at the BIP. Upon identification at a scanner by the BIP, the SUT is processed to generate payment data (PMT) that is secured. The PMT is sent to the scanner, which forwards the PMT to a PP terminal using a communication interface and protocol. The communication interface and protocol may use existing contactless approaches, such as those used for mass transit cards, allowing the scanner to communicate with a wide array of PP terminals. The PP terminal then sends the PMT on to the PP. The PP receives the PMT and, if the PMT is valid, initiates a transaction to transfer funds from the PAOF.

The application discloses a kind of old type intelligent telescopic pedal for vehicle, including telescopic pedal, vehicle detection module, control module;Telescopic pedal is installed below the door of vehicle body, can be extended and withdrawn relative to vehicle body along horizontal direction, to realize the convergence with platform;Vehicle detection module is installed at the position close to the door of vehicle body, for detecting car platform distance, telescopic path obstacle and system failure;Control module is electrically connected with telescopic pedal, vehicle detection module respectively, can control pedal automatic telescoping or switch manual mode according to distance signal, and control pedal emergency stop or retract when detecting obstacle or failure, and trigger alarm prompt.The application can realize the automatic accurate convergence of vehicle and platform, eliminate the risk of height difference when getting on and off, have obstacle protection, failure alarm, safety locking and state visualization function, structure is reliable, safe to use, suitable for public transport vehicles such as bus, coach.

This invention relates to the fields of deep learning and public transportation technology, and discloses a method for differentiated and precise deployment of shared bicycles at various stations based on Extreme Learning Machine (ELM). First, an ELM prediction model is constructed. Then, data on the number of shared bicycles at each station in the target area within a specified time interval is collected, and the actual usage of shared bicycles at each station within that time interval is calculated to form a historical dataset. The historical dataset from day t (N+1 days prior) is normalized and formatted into a three-dimensional array {N+1,7,1}, which is then input into the ELM prediction model for training to predict the demand for shared bicycles at each station on day t+1 within the corresponding time interval. When the total predicted demand exceeds the threshold of the total number of schedulable bicycles in the target area, the total number to be reduced is calculated, resulting in the actual number of shared bicycles deployed at each station. This invention proposes using a deep learning model to accurately predict the demand for shared bicycles at each station from a time perspective, thereby scientifically guiding vehicle deployment.

Identify the actual travel routes taken by users of public transportation. [Solution] The passenger route identification device of the embodiment acquires user identification information, which is the identification information of a user entering or exiting from a ticket gate installed at a station of a transportation company, and registers a combination of date and time information, entry station information or exit station information, and user identification information as a single detailed information in the storage unit. It also acquires face image data, which is data of the face of a user riding the transportation company, and identifies the user identification information corresponding to the acquired face image data based on correspondence information that has been pre-associated between user identification information and face image data for each user, and registers a combination of date and time information, transportation company information used, and the identified user identification information as a single detailed information in the storage unit. When user identification information of a user exiting from a ticket gate is acquired, the actual passenger route is identified for that user using the entry station information, transportation company information, and exit station information based on multiple single detailed information.

A method for collecting and sharing non-actionable information at a first transit location source hub with a second transit location destination hub. In one example, the method includes identifying, a first person in an image captured by a first camera included in a first surveillance system at the first transit location source hub, wherein the first person has a threat assessment. The method also includes, in response to the threat assessment being above 0 and below a first minimum threshold, identifying the second transit location destination hub to which the first person is expected to travel to via a common carrier vehicle, packaging, into a first container, first information identifying the first person and the threat assessment, and sending the first container to a second surveillance system at the second transit location destination hub via a communication network.

Holding device (1) for persons for use in a public transport vehicle, comprising a handrail (6), a housing (4), and a moving part (5) to which the handle (6) is attached and via which the handle (6) is coupled to the housing (4), wherein the moving part (5) can be inserted into the housing (4) and removed from the housing (4) by means of a drive.