473 results about "Travel mode" patented technology

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 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.

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.

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.

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.

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.

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.

An electronic message indicates that a materials handling vehicle is approaching an access-controlled travel path. The materials handling vehicle has a travel system that includes a normal travel mode, a limp travel mode, and a restricted travel mode. An electronic permission request is generated to enter the access-controlled travel path. Additionally, an electronic command is issued to set the travel system to the limp travel mode as the materials handling vehicle engages an entry threshold of the access-controlled travel path. A transceiver receives an electronic permission response that includes a determination of whether the access-controlled travel path is in an open state or a closed state. An electronic command then sets the travel system to the restricted travel mode when the access-controlled travel path is in the closed state, and the normal travel mode when the access-controlled travel path is in the open state.

A vehicle control device mounted on a vehicle includes a first traveling mode being driven by the torque output from a first rotary electric machine, and a second traveling mode being driven by the engine torque output from an engine and the torque output from the first rotary electric machine, wherein a section 1 for cranking the engine by the output of the second rotary electric machine and a section 2 for assisting the driving force of the engine by the output of the first rotary electric machine are provided during a period from the first traveling mode to the engagement of the clutch at the time of starting the engine to the second traveling mode, and the torque increase of the first rotary electric machine is limited in the section 1.

A vehicle controller includes a processor configured to set an upper limit of a rate of change in acceleration for a case where drive assist mode in which travel of a host vehicle is controlled depending on a distance between a vehicle ahead and the host vehicle is applied to be less than the upper limit for a case where a driver of the host vehicle manually drives, when travel of the host vehicle is controlled in high response mode in which responsiveness to acceleration is higher than in normal travel mode, and control travel of the host vehicle so that the rate of change in acceleration is less than or equal to the set upper limit.

A technic controls an autonomous travel device capable of communicating with a center and executing autonomous traveling. In the technic, It is determined whether to permit switching of control modes including an autonomous travel mode, a stop mode, and a user operation mode. An external abnormality that occurs outside the autonomous travel device is detected. The determination of whether to permit the switching includes permitting the switching from the stop mode to the user operation mode in response to acquisition of a permission regarding the switching from the stop mode to the user operation mode from the center when the external abnormality is not detected. The determination of whether to permit the switching includes permitting the switching from the stop mode to the user operation mode regardless of the acquisition of the permission when the external abnormality is detected.

A power supply system includes a travel mode selection button which acquires a driver request, mode; a management ECU which sets, based on the driver request mode, any among a plurality of travel modes as a setting mode; and an electronic control unit group which controls the flow of electric power in the power circuit under conditions according to the setting mode. The management ECU calculates a sum of a first output upper limit of a first battery B1 and a second output upper limit of a second battery B2 as a total output upper limit Pt_lim, calculates a reference output upper limit Pr_lim which is the first output upper limit of the battery B1 in a reference state, and in the case of the setting mode being a normal mode and the upper limit Pt_lim being smaller than the upper limit Pr_lim, inhibits switching to a sport mode.

The invention discloses a multi-mode traffic travel route planning method and device, equipment and a medium. According to departure coordinates and destination coordinates input by a user, a first bus stop and a second bus stop with the nearest corresponding distance are determined; the method comprises the following steps: performing recursive search from a first bus station through an improved A * algorithm, calculating a global heuristic value from a current recursive bus station to a second bus station according to a preset road right attribute of a route between two stations, and reserving a plurality of first adjacent bus stations with better global heuristic values as current recursive starting points, stopping recursive search until a plurality of travel paths from the plurality of first bus stops to the second bus stop are obtained; the road right attribute is a travel mode determined according to the distance corresponding to the first traffic route; and according to the travel preference of the user, screening an optimal travel path from the plurality of travel paths. According to the invention, the optimal travel path of the multi-mode combined travel can be provided for the user, and the travel selection flexibility of the user is improved.

A bag for carrying a set of golf clubs while playing golf and while traveling. The bag includes first, second, third and fourth panels. Each panel has a middle section with first and second opposing faces, and with first and second opposite sides edges; a first wing section extending at a first angle from the first side edge of each panel; and a second wing section extending at a second angle from the second side edge of each panel. A first hinge connects the second wing section of the first panel to the first wing section of the second panel. A second hinge connects the second wing section of the second panel to the first wing section of the third panel. A third hinge connects the second wing section of the third panel to the first wing section of the fourth panel. At least one closure releasably connects the first wing section of the first panel to the second wing section of the fourth panel. The bag also includes first, second, and third club holding components, each connected to one of the first, second, third and fourth panels, each of the club holding components comprising at least three sleeves for receiving shafts of golf clubs. All of the hinges and the closure allow the bag to be folded into a playing mode with the connected wing sections touching each other and the first faces of the middle sections and the club holding components facing outward. All of the hinges and the closure also allow the bag to be folded into a travel mode with two of the first, second, third and fourth panels being adjacent with the middle sections facing and club holding components facing inward and with an other two of the first, second, third and fourth panels are adjacent with the middle sections and club hold components facing inward.

A bag is described for carrying a set of golf clubs while playing golf and while traveling. The bag includes at least two panels, each with a first face and an opposite second face. The first face includes sleeves for insertion of shafts of golf clubs. The at least two panels are connected so as to provide a playing mode with the first faces facing outward, thus providing access to the golf clubs. They are also connected so as to provide a travel mode with the first faces facing inward, thus protecting the golf clubs while travelling. The bag also includes a cover for covering the end of the bag and heads of the golf clubs when in the travel mode. This cover includes wheels. Consequently, when the bag is vertically inverted, the wheels allow the bag to be pushed and pulled by a user.

The embodiment of the invention relates to the field of intelligent control, and discloses a control method of a wheel-foot type wheelchair, the wheel-foot type wheelchair, equipment and a medium, the control method is applied to the wheel-foot type wheelchair, and the wheel-foot type wheelchair comprises a seat body, wheels, a sensing module and a controller. The method comprises the steps that a controller obtains an environment image of the current environment where the wheel-foot type wheelchair is located through a sensing module, and the ground type of the current environment is determined based on the environment image; the controller selects a target advancing mode from the advancing modes of the wheel-foot type wheelchair according to the ground type; and the controller enables the wheel foot type wheelchair to advance in the target advancing mode by controlling the wheel feet. According to the method, through cooperative work of the sensing module, the controller and the wheel foot mechanism, intelligent advancing mode switching based on environmental perception is achieved so as to adapt to various complex road conditions.

A work vehicle includes an exterior sensor to output sensor data indicating a distribution of geographic features around the work vehicle; and a controller. The controller controls self-traveling of the work vehicle in an inter-row travel mode of causing the work vehicle to travel along a target path between two adjacent crop rows that are detected based on the sensor data, and in a turning travel mode of causing the work vehicle to turn in a headland before and after the inter-row travel mode. In the turning travel mode, the controller calculates an amount of positional deviation and an amount of directional deviation of the work vehicle with respect to a target path in a next instance of the inter-row travel mode based on the sensor data; and switches from the turning travel mode to the inter-row travel mode upon satisfying a plurality of conditions including: a first condition that the amount of positional deviation is smaller than a first threshold; and a second condition that the amount of directional deviation is smaller than a second threshold.

The invention relates to the technical field of traffic planning and control, and particularly discloses a regional public traffic reachability measurement method and device based on multi-source data fusion and a storage medium, and the method comprises the steps: firstly obtaining the station data of a subway and a bus, then dividing the travel modes of residents according to whether the subway and the bus are transferred, and finally, carrying out the division of the travel modes of the residents; and establishing a transfer connection chain between different traffic modes based on the transfer travel mode. And finally, index extraction is performed through the transfer link chain and the single trip chain, and the public transport station accessibility of the single trip and the transfer trip can be measured according to the model, so that the measurement of the regional public transport accessibility is completed by aggregating the station accessibility. According to the method, the travel modes are classified based on the multi-source data, a single travel and transfer link chain is established by considering continuous transfer services among different vehicles, and the station reachability of the single travel and transfer travel modes can be measured at the same time.

The invention provides a traffic mode prediction method considering parking lot charging and related equipment thereof. The method comprises the following steps: acquiring a grid map of a target area, parking lot data and resident trip chain data; calculating the grid parking fee of each grid unit in the grid map based on the parking lot data and the resident trip chain data; based on the resident trip chain data and the grid parking fee, constructing a private car generalized trip cost expression; constructing a multivariate utility selection model according to the private car generalized travel cost expression and a plurality of preset other travel cost expressions; generating a travel distribution matrix among the grid units according to the grid map and the resident travel chain data; and carrying out traffic mode prediction on the travel distribution matrix according to a multivariate utility selection model to obtain a refined travel distribution matrix considering traffic mode selection. According to the invention, by considering the influence of the parking fees on resident travel mode selection, the accuracy of urban traffic travel prediction is improved.

A cooling control device for an electrified vehicle comprising: a first electric oil pump for supplying oil to a first motor for driving a front wheel; and a second electric oil pump for supplying oil to a second motor for driving a rear wheel, wherein the device is capable of switching between a four-wheel drive travel mode and a two-wheel drive travel mode in which a second motor is used as a driving force source; wherein when a two-wheel drive travel mode is selected, the device starts operating the first electric oil pump when only the second electric oil pump is driven and it is predicted to run in a four-wheel drive travel mode.