736 results about "Travel mode" patented technology

The invention provides a public transportation network toughness evaluation method considering subway passenger evacuation and station failure propagation, and the evaluation method is used for an urban public transportation composite network, and comprises the steps: firstly obtaining urban public transportation network station map data, passenger flow OD data and vehicle operation related information; then, an urban bus composite network considering the one-to-many coupling relation between subway stations and conventional bus stations is constructed through a Space L method, and meanwhile, composite network performance indexes considering the structure and operation performance are defined in the propagation process of station cascade failure by considering the re-decision of the travel mode of blocked passengers in the urban bus composite network under sudden interruption; based on the network performance curve, the urban bus composite network toughness evaluation model is constructed to measure the toughness level of the urban bus composite network under sudden interruption; according to the method, the toughness of the urban bus composite network can be accurately evaluated, and the operation stability and safety of a bus system are improved.

The invention discloses an urban traffic distribution analysis method and system based on multi-source big data, and the method can comprehensively describe the travel general situation of urban residents through integrating the big data of multiple traffic modes of buses, subways, taxis and shared bikes in a city, avoids the deviation caused by a single data source, and improves the accuracy of urban traffic distribution analysis. According to the data preprocessing, original data are converted into a unified spatial point data format, accurate analysis is ensured, OD extraction not only records a travel starting point and a travel ending point, but also calculates travel duration, a key basis is provided for travel behavior analysis, spatial and temporal distribution feature analysis comprehensively considers time and spatial scales, and a spatial interaction network of various traffic modes is revealed finely. In the step of interaction matrix construction, OD is matched to space units, an OD interaction matrix between stations or grids is constructed, travel behaviors are quantified, travel characteristics are compared to reveal travel differences in different time periods, traffic bottlenecks and hot spots are recognized, and in the step of travel mode recognition, high-frequency OD pairs and interaction areas are found, and scientific guidance and suggestions are provided for urban traffic planning and management.

The invention discloses a method and system for identifying a transportation mode, and relates to the technical field of intelligent transportation, and the method comprises the steps: obtaining mobile phone signaling original data of a user in a set time and region, and carrying out the characterization processing of the original data; extracting mobile phone signaling original data of a special time node by using an OD model and carrying out independent data processing; calibrating the mobile phone signaling data by combining the mobile phone signaling data cleaned by the time threshold and the space threshold; and establishing a city double-layer model and substituting all calibrated mobile phone signaling data for training to realize identification of user travel modes in set time and regions. The invention further discloses a system for identifying the traffic mode, the system comprises a data acquisition module, a central processing module and a feature extraction module, the identification degree and accuracy of the urban double-layer model are improved, a complete traffic mode travel track path is formed by using the model, and accurate identification of the user travel mode in a set area is realized.

The invention discloses a business travel reimbursement management system, and relates to the technical field of business travel management, and the system comprises the following components: a data collection module which collects business travel demands and historical business travel records of a user, analyzes the relation between data through an algorithm model, and displays an analysis result to the user and an enterprise in a visual manner, according to the invention, by integrating the business travel related data and combining with the data cleaning and statistical analysis technology, the highly personalized business travel planning service is provided for the user, the historical travel data of the user is classified by applying the K-means algorithm, different user groups and travel modes thereof are accurately identified, and the user experience is improved. According to the method, flight, hotel and travel destination recommendation and association rule mining algorithms which better meet the actual requirements of users are provided for the users, and association rules between travel behaviors of the users and expenses are deeply mined, so that more accurate cost budget and control basis are provided for enterprises, unnecessary expenses are effectively avoided, and the user experience is improved. And the financial management efficiency of enterprises is improved.

The invention discloses an intelligent identification method, device and equipment of a transportation mode and a storage medium. Comprising the following steps: collecting LBS position data of a user; extracting travel feature data of the user based on the LBS position data; based on the travel speed in the travel feature data and matching information of speed intervals corresponding to a plurality of to-be-identified travel modes, obtaining an identified initial travel mode; inputting the travel feature data and the initial travel mode into a preset discrimination model, and outputting an identified traffic travel mode; the discrimination model comprises a subway discrimination sub-module, a driving discrimination sub-module, a bus discrimination sub-module, a walking discrimination sub-module and a riding discrimination sub-module. According to the method, the LBS position data, the vehicle-mounted Bluetooth connection data and the travel characteristics of different traffic modes are combined to identify the travel mode of the user. The identification accuracy and efficiency can be improved, and powerful technical support can be provided for intelligent traffic management and planning on the premise of protecting user privacy.

The invention discloses a multi-mode travel flow collaborative prediction method, system and device based on multi-task learning. The method comprises the following steps: acquiring related data of multiple travel modes in a to-be-tested area; performing preprocessing and time-space alignment on related data of various travel modes, extracting flow similar characteristics, built environment characteristics and time sequence characteristics of OD flows based on an OD flow matrix, and extracting high-dimensional characteristics of built environment and mobile flows based on the built environment characteristics and the time sequence characteristics; constructing a spatial adjacency graph based on a spatial adjacency relation, constructing a traffic feature graph based on traffic similar features, constructing an environment feature graph based on extracted high-dimensional features, and further constructing a view of each travel mode; constructing a traffic prediction pre-training model, and training the traffic prediction pre-training model to obtain a traffic prediction model; and inputting the OD flow to be measured into the flow prediction model for prediction to obtain a prediction result at the next moment. The multi-traffic OD flow in the subsequent time period is predicted based on the historical OD flow and the built environment data, and the result precision is high.

The invention relates to the technical field of traffic planning and management optimization, and provides a regional hub and urban rail transit interchange connection optimization method, which comprises the following steps of S1, adopting different models for performing short-time arrival passenger flow prediction aiming at different travel modes to obtain respective interchange passenger flow; s2, modeling is conducted on the environment layout and pedestrian behaviors of an actual station through Anylogic software, a dynamic evaluation index system is constructed on the basis of the whole hub and the basic transfer facility state, passenger flow prediction data are input into simulation software, and transfer connection efficiency is obtained; and S3, constructing a maximum comprehensive benefit function from three aspects of a comfort index, an economic index and a facility traffic capacity balance degree, and optimizing transfer service facility configuration by adopting a genetic algorithm to optimize transfer connection efficiency. According to the optimization method provided by the invention, the transfer passenger flow volume can be accurately predicted, and the resource allocation is reasonably optimized, so that the transfer efficiency is improved, and the experience feeling of passengers is improved.

The invention provides an urban circle resident travel feature identification method and device. The method comprises the following steps: acquiring mobile phone signaling data of each resident in a target urban circle; for each resident, drawing a track point of the resident based on the mobile phone signaling data of the resident, and performing clustering processing on the track point to obtain a travel starting point, a travel stopping point and a travel ending point; determining an urban circle travel result based on the travel starting point, the travel stopping point and the travel ending point; determining urban circle travel time based on the trajectory points and an urban circle travel result; determining a travel path and a travel mode based on the mobile phone signaling data of the resident; determining a travel purpose based on the track point, the travel starting point and the travel ending point; summarizing the results to obtain travel characteristics of the resident; and summarizing the travel characteristics of each resident in the target urban circle to obtain the travel characteristics of the target urban circle. According to the invention, an adjustment scheme can be provided for making traffic facility plans and adjusting traffic resource allocation.

The invention provides a multi-mode online car-hailing demand uncertainty prediction method. The method comprises the following steps: constructing a hybrid expert network structure formed by an exclusive expert module and a shared expert module, obtaining OD demand data from a historical starting point to a terminal point of the urban multi-mode online car-hailing platform, and constructing an OD three-dimensional tensor comprising a plurality of travel modes; taking the OD three-dimensional tensors of the plurality of travel modes as training data, and training the hybrid expert network structure by using the training data to obtain a trained hybrid expert network structure; and inputting the OD three-dimensional tensors of the plurality of travel models in a period of historical time into the trained hybrid expert network structure, and predicting the OD three-dimensional tensors of the plurality of travel models in a future time slice. According to the method, through learning of the space-time dependency relationship and the operation dependency relationship, the accuracy of carpooling demand prediction is improved, and important support is provided for a platform to deploy vehicle resources more reasonably, meet user travel demands and improve service quality.

An apparatus for estimating a motion of a vehicle occupant, and a method therefor, can store motion estimating models of a vehicle occupant, collect behavior data of a vehicle, determine a traveling mode of the vehicle based on a longitudinal acceleration among the behavior data of the vehicle, and estimate a motion of the vehicle occupant using at least one of the motion estimating models corresponding to the traveling mode of the vehicle. The motion estimating models can include a first model corresponding to a dynamic mode of the vehicle and a second model corresponding to a steady state mode of the vehicle.

Response to interruption of a travel itinerary of a traveler, systems and methods configure an interactive generative artificial intelligence system to provide an electronic chat interface for a traveler and provide prompt responses to the traveler including information on the interruption and optionally an automatically rebooked itinerary. Additionally, the interactive generative artificial intelligence system receives prompts based on prompt inputs from the traveler and accesses routing data corresponding to one or more alternative travel itineraries. The routing data may include different travel locations and different travel modes determined based on the prompt inputs provided by the traveler to the interactive generative artificial intelligence system. Prompt responses containing information on alternative travel itineraries generated via interactive generative artificial intelligence system are displayed to the traveler.

A first wheel and a second wheel are attached to a vehicle body, the first wheel and the second wheel being attractable to a contact surface and being switchable between an attracted state and an attraction release state. A traveling motor rotates the first wheel and the second wheel. A control unit switches each of the first wheel and the second wheel between the attracted state and the attraction release state and controls rotation. The control unit implements a first traveling mode for traveling on a first surface in a direction from the second wheel toward the first wheel, and a second traveling mode for traveling by setting the first wheel to the attraction release state and setting the second wheel to the attracted state, and rotating the second wheel until the first wheel comes into contact with a second surface rising from the first surface.

The embodiment of the invention relates to datum line arrangement processing. The datum line arrangement processing comprises the following steps: acquiring various travel mode information; determining a unit mileage emission factor of each travel mode; obtaining the passenger transport turnover of each travel mode information through big data processing; when the travel mode is the first travel mode, determining a unit passenger transport turnover discharge factor of the first travel mode according to the ratio of the unit mileage discharge factor to the average passenger number; when the travel mode is a second travel mode, determining a unit passenger transport turnover discharge factor of the second travel mode according to the ratio of the unit mileage discharge factor to the average passenger number; according to the unit passenger transport turnover quantity emission factors of the first and second travel modes, the passenger transport turnover quantity of the first travel mode and the passenger transport turnover quantity of the second travel mode, calculating a datum line emission quantity; determining the actual discharge amount of the passenger transport turnover of the first trip mode; and the emission reduction amount is calculated according to the difference value between the datum line emission amount and the actual emission amount.

The invention discloses an eVTOL vertical take-off and landing airport site selection method considering travel mode selection behaviors, and relates to the field of urban low-altitude traffic facility site selection. The method comprises the following steps: firstly, considering a travel mode selection behavior, and constructing an urban air traffic (UAM) travel demand prediction model; secondly, solving an eVTOL vertical take-off and landing airport candidate point set by adopting an iterative weighted clustering algorithm according to an original traffic mode time value of a demand point; and finally, constructing a site selection model by taking reduction of the total cost of the network, reduction of the total travel time of the network and improvement of the UAM service rate as targets, and solving by adopting an NSGA-III algorithm. According to the method, the optimal eVTOL vertical take-off and landing airport site selection scheme can be given, meanwhile, the optimal travel mode of each journey of the whole network is solved, the model is more practical, and the urban travel efficiency is effectively improved.

The invention provides a travel mode sensing trajectory generation method and device based on an autoregressive diffusion model, a storage medium and equipment. The method comprises the following steps: extracting an individual travel mode from historical trajectory data, training an autoregression time sequence planning model by using the individual travel mode as a training sample, and training a travel mode condition guide diffusion model by using the historical trajectory data and the individual travel mode as training samples together; extracting individual space anchor point data from the residential population distribution data, inputting the individual space anchor point data into the trained autoregression time sequence planning model to obtain a future time mode sequence, and inputting the individual space anchor point data and the future time mode sequence into a trained travel mode condition guide diffusion model to obtain a travel mode condition guide diffusion model; and obtaining a future travel trajectory. According to the method, the individual travel mode is fully considered, so that the generated trajectory conforms to the individual historical behavior in time, the periodic movement mode of the individual can be accurately reproduced, and the spatial and temporal distribution of the trajectory is more real.

The invention relates to the technical field of smart home and robots, and discloses an obstacle crossing wheel, a cleaning robot and an obstacle crossing method.The obstacle crossing wheel comprises a first supporting frame, a driving wheel and a first obstacle crossing arm; the first support frame is provided with a first rotating center and a second rotating center; the driving wheel is arranged on one side of the first supporting frame and can rotate around a first rotating center; the first obstacle crossing arm is arranged on the other side of the first supporting frame and rotationally connected with the first supporting frame, and the first obstacle crossing arm can rotate around the second rotating center so as to be switched between an obstacle crossing mode and a traveling mode; the projection of the second rotating center on the central plane of the driving wheel is located in the projection area of the driving wheel on the central plane. The obstacle crossing mechanism has the advantages of simplifying the obstacle crossing structure, reducing the size, reducing the production cost and increasing the obstacle crossing height.

The invention belongs to the field of big data processing, and discloses a crowd travel mode identification method and system for multi-view subspace learning based on dynamic and static feature fusion, and the method comprises the steps: carrying out the preprocessing of original signaling data, and cleaning invalid data; extracting a travel track of each user, and processing possible abnormal conditions of ping-pong data and drift data; after track data of a single user in a sample time period is obtained, segmenting the track data, and extracting a single trip chain track; extracting static characteristics such as travel behaviors and travel traffic of a travel chain in combination with multi-source data such as mobile phone signaling data, an OSM road network and public traffic data; extracting time sequence features by using an LSTM model, and modeling dynamic features of a travel track; static and dynamic features are fused, and travel modes are captured from multiple views. According to the method, the complex travel mode can be more accurately captured, data redundancy and noise are reduced, and the accuracy of travel mode identification is remarkably improved.

A steering control device includes a processor that controls, as a target, a steering system including a reaction force motor that applies a steering reaction force to a steering shaft and a turning motor that turns a turning wheel, and that executes a reaction force setting process, a phase compensation process, and a reaction force application process. The reaction force setting process is a process of setting the steering reaction force using the phase compensation process. The reaction force application process is a process of operating the reaction force motor so as to produce a reaction force as set by the reaction force setting process. The phase compensation process is a process of performing phase compensation of the steering reaction force in a different manner when a travel mode of a vehicle is different.

The invention discloses an extended range vehicle energy supplement planning method, which comprises the following steps: acquiring a travel starting point position, a travel ending point position and a travel planning path from the starting point position to the ending point position; determining a plurality of energy complementing points on the travel planning path; the endurance mileage influence factors of the vehicle are obtained, and the remaining endurance mileage is determined based on the endurance mileage influence factors; based on a trip mode, determining a recommended energy complementing point according to the remaining endurance mileage; the recommended energy complementing point is one or more of the plurality of energy complementing points. According to the invention, reasonable planning is carried out according to the energy complementing points on the planned path before travel, so that the selection rationality of the charging stations along the way is effectively improved.

An estimation unit 24 estimates a user who performed a parking action on the basis of the user's history of location information. Specifically, on the basis of histories of location information of users, the estimation unit 24 determines whether the users' means of transportation were by vehicle, walking, or other means, and estimates a user who changed the user's means of transportation from vehicle to walking as the user who performed a parking action. An identification unit 25 identifies the location of a destination that the user estimated by the estimation unit 24 visited after the parking action. Specifically, on the basis of a history of location information of the user, the identification unit 25 identifies a location where the user stayed for a time exceeding a threshold as the location of a destination visited by the user. A calculation unit 26 calculates the amount of parking demand for a target section on the basis of the locations of destinations visited by a plurality of users as identified by the identification unit 25. An output unit 27 outputs information about the amount of demand calculated by the calculation unit 26 externally.

To provide a steering control device which enables phase compensation appropriate for stabilizing a steering system regardless of a type of a travel mode.SOLUTION: Phase delay compensation processing M60 outputs steering torque Thr obtained by phase delay compensation using steering torque Th as an input. Basic assist amount setting processing M66 sets a basic assist amount Tab using the steering torque Thr as an input. Torque of a reaction force motor is controlled by using a value obtained by subtracting axial force from an assist amount Ta according to the basic assist amount Tab. The phase delay compensation processing M60 includes filter coefficient setting processing M64. The filter coefficient setting processing M64 sets filter coefficients α, T1, and T2 according to a travel mode.SELECTED DRAWING: Figure 3

The invention discloses an NFC online travel method, a storage medium and a program product, relates to the technical field of mobile payment, and discloses an NFC online travel method comprising the following steps: obtaining user registration and login information; receiving and caching a user account number returned by an application end background according to the user registration and login information; reading a cached user last travel identifier according to the user account number; comparing the last journey identifier of the user with a journey identifier in the information tag of the equipment end, and judging the consistency of the journey identifiers; and performing user travel matching according to a judgment result of travel identifier consistency, and judging whether to execute asynchronous fee deduction operation or not according to a matching result. The information label configured at the device end is read through NFC, the application end is called, interconnection between the application end and the device is achieved, and an asynchronous payment online travel mode that a user takes a bus first and then pays is achieved through interaction with the background of the application end.

An agricultural machine includes an image recognition system to detect a row region including at least one of a crop or a ridge on a ground surface of a field, traveling equipment including a wheel responsible for steering, and a controller configured or programmed to control the traveling equipment and operate in a row-following travel mode to control the traveling equipment to travel along the row region as detected by the image recognition system. When the image recognition system detects a deletion site of the row region or the field's final end while operating in the row-following travel mode, the controller is configured or programmed to continue travel for a predetermined time or a predetermined distance.

A regenerative braking method and apparatus for a power-assisted bicycle. There are a regenerative braking mode and a normal travel mode during the forward riding of a power-assisted bicycle. In the regenerative braking mode, a signal is sent to a motor (1) by means of a button provided on a handlebar, upon receiving the signal, the motor (1) starts, an electrically controlled clutch (5) is powered on, so that an output end of the motor (1) is connected to wheels, then the motor (1) stops operating, the wheels drive the motor (1) to rotate, the motor (1) generates power, and braking is performed while energy recovery is achieved; and in the normal travel mode, the motor (1) stops or drives the wheels to rotate, the electrically controlled clutch (5) is not powered on, the output shaft of the motor (1) is not connected to the wheels (a coasting state) or the motor (1) drives the wheels to rotate (a power-assisted state), and the power-assisted bicycle travels normally. The apparatus and method enable a rider to select coasting and power-assisted riding or energy recovery, so that the riding process is simple and convenient, and riding comfort is improved.

An engine torque control method and apparatus, a device, a storage medium, and a vehicle, relating to the technical field of vehicle power control. The method comprises: when a vehicle satisfies a preset speed condition, respectively determining a first torque value and a second torque value of an engine of the vehicle on the basis of the current speed of the vehicle, wherein the preset speed condition is used for indicating that the speed of the vehicle is greater than a preset threshold, the first torque value is a torque value required for maintaining the current speed and the state of charge of the vehicle when the traveling mode of the vehicle is a hybrid mode, and the second torque value is a torque value required for maintaining the current speed when the traveling mode of the vehicle is an oil-powered mode; and determining smaller one of the first torque value and the second torque value as an output torque value, and controlling the vehicle to be in the traveling mode corresponding to the output torque value.

The invention discloses an operation galloping vehicle suitable for a high-voltage power transmission line and an operation method of the operation galloping vehicle, and belongs to the technical field of high-voltage power transmission equipment. The operation aerodyne comprises an operation platform and at least two aerodyne mechanisms. Each aerodyne mechanism comprises a rotating assembly and a walking wheel assembly used for moving on a power transmission line. The rotating assembly comprises a rotating shaft piece and a rotating locking piece, the rotating shaft piece is installed on the working platform in a self-rotating mode, and the rotating shaft piece is fixedly connected with the walking wheel assembly; the rotating locking piece is installed on the working platform and used for locking or unlocking rotation of the rotating shaft piece. And rotation of the two rotating shafts is used for driving the two walking wheel assemblies to rotate correspondingly, so that the axes of the two walking wheel assemblies in the length direction are located in the same vertical plane, or the axes of the two walking wheel assemblies in the length direction are located in two vertical planes correspondingly. The operation galloping vehicle provided by the embodiment of the invention can be switched between a single-line advancing mode and a double-line advancing mode, and is good in compatibility.

The present disclosure relates to a method for controlling a backhoe loader and a backhoe loader, and relates to the field of engineering machinery. The method for controlling a backhoe loader includes: setting a power upper threshold P_0 for a variable displacement pump of the backhoe loader according to an operating mode of the backhoe loader; where the backhoe loader includes an engine, the variable displacement pump, a traveling system, a loading operation system, and a digging operation system; the operating mode includes: a traveling mode, a loading operation mode, and a digging operation mode; and adjusting the power upper threshold P_0 of the variable displacement pump according to an actual load of the backhoe loader in a current operating mode. In the technical solutions, the power upper thresholds P_0 are different in different operating modes. Power of the variable displacement pump is adjusted in real time.

The invention discloses a low-carbon travel system based on big data analysis. The low-carbon travel system comprises a data integration module, a deep analysis module, a travel guide module and an emergency response module, the data integration module is used for integrating travel-related data from different platforms and departments; the deep analysis module is used for performing deep analysis on the integrated data and mining data associated with low-carbon travel; the travel guide module provides low-carbon travel suggestions for the user according to the deep analysis result, and guides the user to select a low-carbon travel mode; when an emergency occurs, the emergency response module rapidly integrates and analyzes related data, and provides a timely detouring scheme or an alternative travel mode suggestion for a user. The system can integrate multi-source travel data for deep analysis, provide low-carbon travel suggestions for users and provide timely detouring or alternative schemes in case of emergencies so as to guide the users to select low-carbon travel modes.

A bag is described for carrying a set of golf clubs while playing golf and while traveling. The bag includes at least two panels, with each panel including a first face and an opposite second face. The first face includes sleeves for insertion of shafts of golf clubs together with repositionable stoppers for engaging the ends of the golf club shaft. In this way, the height that each of the golf clubs extends beyond the panels is set by the position of the stoppers. These at least two panels are connected in such a way so as to provide a playing mode with the first faces facing outward, thus providing access to the golf clubs, and so as to provide a travel mode with the first faces facing inward, thus protecting the golf clubs while travelling.

Disclosed is a vehicle escape method. The method comprises: receiving an escape mode activation signal, and switching a vehicle traveling mode from a normal mode to an escape mode; acquiring an alternating driving frequency of a front electric motor group and a rear electric motor group in the escape mode; acquiring a pressure value of each air spring that is currently collected by an air suspension; on the basis of the pressure value of each air spring, calculating the current offset frequency of the air suspension, a driving power corresponding to the front electric motor group and a driving power corresponding to the rear electric motor group; controlling the air suspension to vertically oscillate according to the current offset frequency of the air suspension; and on the basis of the alternating driving frequency and the driving powers respectively corresponding to the front electric motor group and the rear electric motor group, alternately driving the front electric motor group and the rear electric motor group until an escape mode exit signal is received, such that a vehicle exits the escape mode and is switched to the normal mode. The method enables a vehicle to quickly escape in muddy road conditions, thereby improving the reliability of the vehicle. Also disclosed are a vehicle escape apparatus using the method, and an electronic device and a storage medium.