376 results about "Travel time" patented technology

The invention provides a method for quickly establishing a three-dimensional near-seafloor speed model in a shallow sea area; the method comprises the following steps of extracting initial informationand extracting a common-center-point gather; calculating the slope of the initial travel time in the common-center-point gather; judging whether a shot point is located in the seawater layer or not,and if yes, correcting the shot point to the seafloor; calculating the speed and the depth of inflection points corresponding to respective offset distances; performing linear interpolation on the speed at each depth to obtain a one-dimensional speed model of the common center point; after all the common-center point domain gathers are processed, adopting the linear interpolation method, calculating the speed values of the rest grid points by utilizing the one-dimensional speed model of all common center points, and a speed model is output. By adoption of the method for quickly establishing the three-dimensional near-seafloor speed model in the shallow sea area, the influence of the seawater layer on ray propagation is overcome, and the influence of multiple excitation receiving modes on an inversion result is eliminated, and the problem that the conventional method needs to carry out multi-ray tracing forward modeling is avoided.

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 multi-destination travel itinerary planning method, system and device and a storage medium. The method comprises the following steps: receiving a travel planning request of a user; based on keywords in the tourism planning request, matching a plurality of related scenic spots and tourism destination cities to which the scenic spots belong; at least according to the traffic information between the tourism destination cities, generating a tourism sequence based on the tourism destination city playing sequence, inter-city traffic planning between the tourism destination cities and tourism sub-planning of each tourism destination city, and obtaining daily tourism tracks, daily accommodation hotels and scenic spot routes; and generating a travel itinerary plan according to the daily travel track, the scenic spot itinerary, the daily accommodation hotel and the inter-city traffic plan, and feeding back the travel itinerary plan to the user. According to the invention, travel, accommodation and travel time arrangement and route planning schemes in the travel itinerary of the user can be finely designed, the travel time cost of the user is reduced, and the experience in the travel itinerary is improved.

The invention discloses a traffic signal scheduling system and method based on road section congestion information, and relates to the technical field of traffic management and control. Comprising the following steps: S1, data acquisition and preprocessing: acquiring original traffic data of a road section in real time through a multi-source data acquisition unit, the original traffic data comprising traffic flow, vehicle speed, queuing length, occupancy and travel time; meanwhile, external environment data are obtained, wherein the external environment data comprise weather information, holiday and festival information and traffic event information; traffic data and external environment data are acquired in real time through the multi-source data acquisition unit, data quality is guaranteed through cleaning, denoising and standardized preprocessing, and the problem that data fusion of an existing system is insufficient is solved; by means of an adaptive weight learning model, historical traffic data, real-time data and environmental data are combined to dynamically adjust a congestion evaluation index weight, and the defect that a fixed or empirical weight is difficult to adapt to traffic dynamic changes is overcome.

The application discloses an elevator destination floor distribution method, comprising the following steps: step S101, setting a limit value; step S110, generating a new elevator call; step S111, counting the elevator calls; step S112, judging whether there is a car below the limit value; step S114, selecting a car with the elevator call registration number below the limit value as a primary selected car; step S115, judging whether a priority car selection rule is met; step S117, finding a car meeting the priority car selection rule and selecting the car meeting the priority car selection rule as a final selected car; if no car meeting the priority car selection rule is found, the primary selected car is selected as the final selected car. The candidate car selection rule provided by the application can distribute the destination floor registrations of similar floors to the same car as much as possible, and can further shorten the travel time of the elevator and improve the operation efficiency of the elevator group.

The invention provides an electric vehicle charging load prediction method based on travel characteristics, which adopts a Monte Carlo method to simulate travel and charging behaviors of electric vehicles, and comprises the following steps: based on a travel chain model, extracting the initial travel time, the initial travel place, the initial charge state and the travel purpose of each time period of each electric vehicle; according to the travel purpose, extracting the functional area which each electric vehicle needs to reach in each time period; according to the functional area needing to be reached, path planning is carried out on the driving path of each electric vehicle; calculating the driving energy consumption on the driving path, and updating the charge state of the electric vehicle; the charging probability of the electric vehicle is judged according to the charge state; and finally, according to the charging probability of each electric vehicle in each area in different time periods, obtaining the charging load space-time distribution of the electric vehicles. By comprehensively considering various travel characteristics, the reliability of the prediction method is enhanced, and the problem of insufficient prediction precision is solved.

The invention discloses an urban rail transit peak period train departure interval optimization method based on multi-line cooperative scheduling, and relates to the technical field of rail transit operation management. The method comprises the following steps: firstly, constructing a network topology containing key transfer stations and a passenger flow OD matrix; establishing a passenger travel space-time network model to accurately describe a transfer waiting process; further constructing an optimization model with the goal of minimizing the total cost of the system, wherein the model comprehensively considers the passenger waiting time, the in-vehicle crowding degree, the operation cost and the transfer collaboration degree; and finally, designing a mixed intelligent algorithm combining Lagrangian relaxation and a meta-heuristic algorithm for solving, and generating a multi-line cooperative departure interval scheme. According to the method, the limitation of single-line independent scheduling is broken through, resource allocation can be optimized from the overall perspective of a line network, the total travel time of passengers and transfer station congestion are effectively reduced, and the overall transportation efficiency and service quality of a rail transit system in peak periods are remarkably improved.

The invention relates to a distribution robust optimization-based library-crossing vehicle path planning method, which comprises the following steps of: obtaining statistical information of travel time based on road network data analysis of a distribution area; constructing a library-crossing vehicle path model under the uncertain travel time by taking the minimum comprehensive time cost as an objective function; a travel time uncertainty set is constructed based on a Wasserstein distance, and a library-crossing vehicle path distribution robust optimization model is established; and finally, solving the model by adopting a taboo search algorithm to obtain a robust optimal planning scheme of the over-warehouse distribution vehicle path. According to the method, distribution robust optimization is carried out on the warehouse-crossing distribution vehicle path, the feasibility and robustness of the warehouse-crossing vehicle distribution path scheme under the uncertain travel time are improved, and the method is of great significance in guaranteeing warehouse-crossing collaborative operation and achieving cost reduction and efficiency improvement of distribution.

Electric vehicles (EVs) for pick-up and delivery services using opportunity charging are routed in response to a task request for package or person pick-up and drop-off. A candidate EV for the task is determined based on a preliminary route analysis of routes between the pick-up and drop-off locations including an estimate of point-to-point travel time and electrical power consumption for each candidate EV. The candidate EVs are winnowed by determining which candidate EV is available during a time window of service that has sufficient state of charge to reach at least the pick-up location. Routing calculations are performed for each remaining candidate to develop an individual route between the pick-up location and the drop-off location and a predicted power consumption for the individual route. A candidate EV is assigned to service the task request that has sufficient state of charge, with minimal recharging delay, to meet the predicted power consumption for its individual route.

The invention discloses a bridge ship impact point positioning method and system based on shock wave time difference analysis, and the method comprises the steps: arranging a vibration sensor array on a plurality of piers in a non-navigable hole region of a bridge, and connecting the vibration sensor array with an edge calculation module; impact characteristics are extracted, and vibration acceleration is calculated; setting a dynamic threshold value, and calculating the coordinates of the impact point when the vibration acceleration peak value exceeds the dynamic threshold value; in the calculation process, double constraint conditions are constructed by using time-frequency joint similarity and time difference of impact characteristics, and correlation of other vibration sensors is carried out; constructing a positioning equation set special for the concrete structure bridge; and resolving a positioning equation set and outputting impact point coordinates. According to the system, a vibration sensor array is used for collecting vibration signals; the edge calculation module is used for extracting impact characteristics and calculating vibration acceleration and impact point coordinates of the vibration sensor; the central processing unit is used for outputting impact point coordinates and damage indexes. According to the method and the system, the impact point in the event that the ship impacts the bridge can be quickly and accurately positioned.

We provide a traffic management system, traffic management method, and traffic management program suitable for bus operations. [Solution] The operation management system includes: a setting unit that sets multiple location areas surrounded by multiple location information points in a continuous sequence in the direction of travel of the bus at the entrance and exit of a traffic facility where the bus is parked; an acquisition unit that acquires bus location information relating to the position of the bus running with a positioning sensor and bus time information relating to the time when the position is measured; a determination unit that determines whether the bus has passed through a location area based on the travel trajectory consisting of multiple bus positions recorded in the bus location information; and a recording unit that, if the determination unit determines that the bus has passed through a location area, records the bus's travel time based on the time recorded in the corresponding bus time information when the bus's position was measured.

Methods and apparatuses for providing an estimated time of arrival at a point of interest (POI) in a navigation system are described. According to one embodiment, the method includes collecting driving data and trajectory data, generating parking time data of the vehicles by deriving times required for the vehicles to park based on the trajectory data and integrating the times required for the vehicles to park, deriving travel times of the vehicles traversing links leading to an entrance to the parking lot based on the driving data, calculating the vehicles' entry wait times by aggregating the travel times, and generating entry wait time data by integrating the vehicles' entry wait times, and deriving estimated times of arrival of the vehicles by summing the times required for the vehicles to park and the entry wait times, and generating estimated arrival time data by integrating the vehicles' estimated times of arrival.

This processing time estimation method includes: allocating a plurality of tasks in an automated warehouse to each of a plurality of transport devices; generating a plurality of divided travel routes for each transport device by dividing, at a predetermined first time interval, an entire travel route during processing of the tasks for each transport device into N sections; and, for each of the N sections, executing input, to a trained model capable of outputting an estimated travel time for a divided travel route in a predetermined section for each transport device, of a divided travel route in an n-th section for each transport device, a map, and the first time interval.

The present application provides a traveling route prediction method, an electronic device, and a storage medium. The method comprises: acquiring a plurality of historical traveling trajectories of a target vehicle in historical traveling; filtering the plurality of historical traveling trajectories on the basis of a preset filtering rule to obtain target historical traveling trajectories; acquiring trip information of the target historical traveling trajectories; calculating route probabilities of respective target historical traveling trajectories having a same destination position and a same vehicle travel time period among the target historical traveling trajectories; establishing a habitual route database of the target vehicle on the basis of the route probabilities and the trip information; and upon detecting that the target vehicle is started, determining a first final predicted traveling route of the target vehicle on the basis of the habitual route database. In the present application, a future trip of a user can be predicted when the user does not use an automotive navigation system, thereby improving travel experience of the user.

The embodiment of the invention provides a route planning method, system and device based on weather and user tendency and a vehicle, and belongs to the technical field of intelligent driving. The method comprises the steps that user tendency data, weather data and travel demand information are acquired, the user tendency data at least comprises a tendency driving route, tendency travel weather and tendency travel time which are associated, and the travel demand information comprises a departure place and a destination of travel; the current time is compared with the tending travel time, the weather data is compared with the tending travel weather, a matched target driving route is determined according to the travel demand information, and the target driving route is a certain tending driving route or a route generated by combining a plurality of tending driving routes; and outputting navigation information of the vehicle according to the target driving route. The invention aims to improve the accuracy of vehicle navigation route planning.

This invention provides a method for displaying the results of a site search or comparison using site similarities and travel time within a transportation system. [Solution] The method receives a request comprising at least one location included in a traffic system, determines at least two isochronous sites included in a plurality of sites, determines a plurality of similar sites included in at least two isochronous sites, and determines suggestions for the plurality of similar sites, or determines a plurality of similar sites included in at least two isochronous sites, and determines the aforementioned suggestions for the plurality of similar sites, and responds to a request having suggestions.

To suggest an action executable during a user's free time by extracting the action according to difference in transit time due to a transit method, to a user.SOLUTION: An action proposal system 1 includes: a free time recognition unit 12 which recognizes free time of a user U; a free time starting site recognition unit 13 which recognizes a free time starting point being a site where the user is present at the starting time point of the free time; a candidate action selection unit 15 which selects, as a candidate action to be suggested to the user U, an action executable by the user U while using the free time, and containing a movement between the free time starting site and a destination site by any of a plurality of movement methods and a prescribed activity at the destination site; and a candidate action information providing unit 16 which allows a display device 50 used by the user U to display an action proposal window to display required time period for moving between the free time starting site and the destination site for each of the plurality of movement methods, and contents of the prescribed activity.SELECTED DRAWING: Figure 1

An object is to prevent deterioration of a ride at the time of stopping while suppressing an extension of travel time by attenuating a brake command at the time of stopping. A train control device of an embodiment has a train speed position detection device that detects a speed of a train and a position of the train, a storage section that stores route information and vehicle information, and a control command calculation section that calculates a control command to a drive brake control device based on the detected speed of the train and the position of the train and the route information and the vehicle information, and the control command calculation section changes a position deviation allowable range in a position direction according to a difference between a deceleration of a target deceleration pattern at a speed identical to a train speed prediction value after a prescribed time and the train deceleration prediction value after the prescribed time.

A driving assistance device that includes an electronic control unit that is configured to execute driving assistance control when the own vehicle enters a roundabout by acquiring information on the roundabout in front of the own vehicle and determining whether or not the own vehicle can enter the roundabout based on acquired information on the roundabout and information on the objects acquired by an object information acquisition device, and notifying a driver of a result of the determination, in which the electronic control unit is configured to estimate a travel time required for the own vehicle to reach an entry position of the roundabout, estimate another travel time required for a first other vehicle traveling in the roundabout to reach the entry position, and determine whether or not the own vehicle can enter the roundabout based on a relationship between the travel times.

A system is provided.SOLUTION: A terminal means for collecting vital data of a craftsman, a server means for receiving and storing the vital data transmitted from the terminal means, a generation AI algorithm means for analyzing a work time and a movement time of the craftsman by the server means and generating an optimum schedule, a notification means for transmitting the schedule generated by the server means to the terminal means, and an improvement means for transmitting performance data of the craftsman from the terminal means to the server means and performing re-analysis.SELECTED DRAWING: Figure 1

This application provides a method for recommending travel routes, an in-vehicle system, and a storage medium, relating to the field of in-vehicle tourism service technology. The method can obtain the route length, travel time, required travel cost, and average experience score of all attractions for each travel route. Then, for each travel route, it determines a first sub-rating corresponding to the route length, a second sub-rating corresponding to the travel time, a third sub-rating corresponding to the travel cost, and a fourth sub-rating corresponding to the average experience score. A weighted average of the first, second, third, and fourth sub-ratings for each travel route is taken to obtain a recommended rating for each travel route. Based on the top N% of travel routes ranked by their recommended ratings, recommended routes are output, which can balance short route length, short travel time, low travel cost, and high average experience score, achieving a balance between the user's itinerary, travel time, cost, and overall experience.

During operation, a computer system may intuitively and interactively (or dynamically) present a travel option. Notably, the computer system may receive, from an electronic device, information specifying a desired travel itinerary. In response, the computer system may determine the travel option based at least in part on the information. Then, the computer system may provide, addressed to the electronic device, second information specifying the travel option, where the travel option is configured for display in a calendar format. In some embodiments, the travel option includes an associated total cost. Note that the travel option may be based at least in part on a predefined user preference, such as a budget or preferred travel time.

The application provides a vehicle-mounted refrigerator temperature control method and system, and relates to the technical field of intelligent networked vehicles. First, the application collects historical travel basic data and vehicle state data of the vehicle, and according to the coordinates of the starting point and the destination, the starting point is classified as a reference starting area, and the terminal point is classified as a reference destination area. The terminal point is mapped to the reference destination area, and the nearest charging pile thereof is taken as the destination area. A travel route is generated based on the reference starting area and the destination area, and the travel time is counted. When the navigation is started, the estimated travel time is estimated, a trained classification model is used to predict the travel route, parameters strongly related to the travel charging are extracted through PCA, and a logistic regression model is input to complete the charging behavior prediction. Finally, according to the navigation state and the charging prediction result, the remaining power after reaching the destination area is calculated by combining the estimated travel time, the refrigerator power consumption parameter and the vehicle unit mileage driving energy consumption, and the travel is divided into multiple typical operation scenarios to control the operation mode of the refrigerator compressor.

A system is provided.SOLUTION: A system comprising: means for receiving information on a travel destination, a period, an activity, and a meal desired by a user; means for generating an optimal visiting place and schedule based on the received information; means for cooperating with a map information providing service to automatically calculate a moving time; means for collectively reserving accommodation facilities, transportation facilities, and activities; means for acquiring weather information and a situation of a tourist spot in real time and proposing a change plan of a travel schedule; and means for coping with a plurality of languages.SELECTED DRAWING: Figure 1

A method of anticipating operation of parking places according to demand and an operation server using the same are provided. The method can include anticipating n calls corresponding to a current time in a service area; deriving Nc assignment combinations assigning Nb vehicles on standby in the service area to Na parking places located in the service area; assigning the anticipated n calls to Nd vehicles in the service area including the Nb vehicles with respect to each of the Nc assignment combinations, and deriving Nd total travel times of the Nd vehicles; and assigning a corresponding parking place among the Na parking places to each of the Nb vehicles based on the Nd total travel times with respect to each of the Nc assignment combinations.

A kind of method, system, medium and product of data processing of duty of wisdom camp, in the method, system first obtains the attribute information of current execution task and to-be-executed task, generates the vector reflecting the completion state of current task and the vector of next task admission requirement. By comparing the two vectors, determine the conflict items that need to be adjusted, and find the corresponding state recovery action and its required duration. Combined with the physical travel time between the two task locations, the total transition time is calculated. According to the latest start time of the second task and the transition time, the system judges the key end time point of the first task, and decides whether to generate a scheduling instruction containing state recovery action according to the key end time point. The present application is used to improve the prediction accuracy of the start time of subsequent task, reduce the service response delay risk caused by the personnel unable to arrive at the designated point in time.

A kind of urban rail transit line transport capacity precision regulation and control method, comprising: S100. Obtain urban rail transit line transfer passenger data, according to the transfer passenger data, section passenger flow information is obtained;S200. Obtain car fixed number information, according to the section passenger flow information and car fixed number information, the section congestion degree of urban rail transit line is obtained, according to the section congestion degree, transfer passenger flow density information is obtained;S300. Establish periodic train diagram evaluation mechanism, according to the transfer passenger flow density information, optimize rail transit line train diagram;S400. Real-time update the transfer passenger flow density information, the train diagram iterative optimization is carried out, set the iteration number or other iteration termination condition, obtain the final rail transit line train diagram.The method disclosed in the application considers the distribution of transport capacity in transfer station with different transfer passenger flow density, can save passenger travel time, improve passenger satisfaction, and reasonably allocate transport capacity.

The application discloses an airport bus network optimization method and system integrating air traffic control information, and the method comprises the following steps: acquiring the geographical range of the airport bus operation area, passenger reservation demand and passenger online car-hailing order data generated by the influence of flight dynamic changes according to the air traffic control information; determining all airport bus station positions in the airport bus operation area; establishing a target function according to passenger travel time cost and airport bus operation cost, and establishing constraint conditions according to the maximum number of passengers served by the airport bus starting station, the service level of the airport bus service, the lower limit and the upper limit of the time window in which the passenger expects the airport bus to arrive; and solving a reservation response bus scheduling model to obtain an airport bus scheduling scheme. Under the condition of flight changes, the number of passengers taking the airport bus and their destinations can be known in advance, the operation strategy can be quickly adjusted, and the vehicle scheduling can be optimized, so that the waiting time and in-vehicle time of passengers can be effectively saved, and the passenger satisfaction under the condition of flight changes can be improved.

This invention relates to the field of intelligent cruise technology for unmanned surface vessels (USVs), and discloses an intelligent cruise method and system for USVs based on multimodal perception. The method includes: determining the current navigation direction based on the current USV coordinates and the target mission coordinates; performing edge recognition on remote sensing satellite images to obtain obstacle contour images; smoothing the contour boundaries of the obstacle contour images to obtain obstacle boundary images; performing path feasibility planning based on the obstacle boundary images, radar systems, and sonar systems to obtain a coordinate navigation dataset; and selecting the optimal path based on the coordinate navigation dataset to obtain the optimal navigation path. This invention can improve the globality and efficiency of USV path planning and reduce fuel consumption and travel time during USV cruise.