86 results about "Travel cost" patented technology

The invention relates to the technical field of vehicle path planning, in particular to an intelligent path planning method and system for a sanitation vehicle, a scheduling method and a storage medium, and the path planning method comprises a data collection step, a data processing step and a path planning step. Calculating the shortest path from the current position to each garbage collection point and the shortest paths from each garbage collection point to other garbage collection points according to a shortest path algorithm; performing path planning according to a reinforcement learning algorithm to obtain a plurality of planned paths from the current position to the target garbage collection point; the influence coefficient of environmental data conversion and the vehicle information are input into a driving cost reward function, reward values of a plurality of planned paths are output, and the planned path corresponding to the minimum reward value is the optimal path of the environmental sanitation vehicle. The optimal path can be dynamically adjusted according to real-time data, and the cleaning efficiency and the resource utilization rate are improved.

The invention provides a business travel itinerary recommendation and cost optimization method and system based on big data, and relates to the technical field of big data, and the method comprises the steps: obtaining the real-time traffic information and hotel information of a destination city; a machine learning model is utilized to analyze user travel characteristics, traffic information is intelligently screened, and a traffic scheme conforming to enterprise travel standards is generated. And determining an accommodation time interval according to the traffic scheme and the business activity time, and screening candidate hotels. And performing time sequence analysis on the air ticket price and the house fee, predicting a price fluctuation trend, determining the optimal reservation time, and generating a business travel itinerary initial scheme. And finally, pushing a travel confirmation request to a related contact person, dynamically optimizing the initial scheme according to feedback information, and outputting a final travel travel scheme with the lowest total cost. According to the invention, big data analysis, machine learning and time sequence analysis technologies are combined to intelligently recommend the business travel scheme which accords with enterprise business travel standards and has the lowest cost, so that the business travel efficiency is improved, and the business travel cost is reduced.

The invention discloses a passenger selection behavior-based connection bus line-sharing optimization method and equipment, belongs to the technical field of urban traffic, and is used for solving the problems that existing connection buses are unreasonable in line-sharing station design, the cost of passengers and bus enterprises is difficult to reduce, the service level of the connection buses is not favorably improved, and the service quality of the connection buses is influenced. And the travel time of passengers is difficult to optimize. The method comprises the following steps: determining generalized travel cost based on waiting time cost, in-transit time cost and bus company operation cost; according to the generalized travel cost, carrying out regression analysis on the travel selection behavior influence factors of the passengers, and determining a connection bus route selection probability; carrying out model condition constraint under a related cost objective function on the connection bus to obtain a connection bus common line segment station optimization constraint condition set; constructing a connection bus common line segment station optimization model; and carrying out output calculation on the connection bus line-sharing station optimization model to obtain a connection bus line-sharing station optimization scheme and a departure interval.

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.

This invention provides an optimization method and system for attraction-based tolling strategies under traffic demand management. The method includes establishing a two-level programming model. The upper-level model aims to maximize the profit of the attraction points, and the decision variable of the upper-level model is the attraction point toll. By changing the attraction point toll, the generalized travel cost of travelers in the lower-level model is altered, thereby influencing travelers' route choices. The lower-level model is a traveler route selection model considering both attraction points and travel costs under stochastic demand. The system includes an information acquisition module, a model building module, and a model solving module. This invention transfers congestion tolling functions to the attraction points. Attraction points in congested areas charge positive tolls to travelers arriving at them, while attraction points in areas with excess road supply charge negative tolls. Travelers choose their routes based on the attraction point's attractiveness, the attraction point toll, and road segment impedance, thereby alleviating road segment congestion and making the road network traffic distribution more balanced.

This invention belongs to the field of business travel expense management technology, and particularly relates to an intelligent dynamic business travel expense management method and system based on a microservice architecture. This invention utilizes an information parsing microservice, employing an improved BERT model to perform semantic parsing and entity extraction on travel booking requests, outputting structured itinerary information and user job level; it uses an expense benchmark calculation microservice to lock in a matching pool of benchmark users, splits itinerary units, and generates an initial expense range through cluster analysis; it uses a credit rating microservice to calculate personalized credit coefficients for users; and it uses a dynamic expense calibration microservice, combining credit coefficients to calibrate expense standards, generating compliant expense ranges constrained by compliance red line thresholds. This invention achieves dynamic and refined management of business travel expense standards, solving the pain points of poor adaptability and low efficiency of traditional static management models, and improving the intelligent level of enterprise travel cost management.

The invention provides a method and device for carrying out cost optimization prediction through multi-dimensional business travel behavior analysis, and belongs to the technical field of enterprise business travel management.The method comprises the steps that business travel data are collected, cleaning, duplicate removal and entity alignment operation are carried out, and a business travel behavior data set is constructed; executing a preset query script on the business travel behavior data set, extracting characteristic indexes from preset dimensions, executing descriptive analysis, diagnostic analysis and clustering analysis, and generating a business travel behavior analysis report; and inputting the business travel behavior data set and the business travel behavior analysis report into a cost optimization prediction model to carry out business travel demand prediction, business travel price prediction and business travel travel optimization, generating an optimal travel travel scheme set, pushing the optimal travel travel scheme set to the employee user, collecting a feedback result of the employee user on the optimal travel travel scheme set, updating the business travel behavior data set, and obtaining a business travel result. And incremental training and iterative optimization are carried out on the cost optimization prediction model. Through multi-dimensional analysis and prediction, the travel cost is optimized, and the management efficiency is improved.

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.

The invention discloses a hotel room reservation planning method in combination with a travel itinerary. The method comprises the following steps: calculating future arrival time when a user arrives at a passing point; all target hotel rooms meeting the room requirements of the user are matched around the passing points; predicting room reservation costs of all target hotel rooms corresponding to the passing points at the arrival time in the future; predicting the travel cost of all target hotel rooms corresponding to the waypoint to the waypoint; calculating the comprehensive room reservation cost of each target hotel according to the room reservation cost and the travel cost; selecting the target hotel room with the lowest comprehensive room reservation cost as a suggested hotel room; and generating hotel room reservation plans of the passing points on the travel route for the user according to the travel route of the user, the future arrival time of the passing points and the suggested hotel rooms. According to the invention, the hotel room reservation efficiency of the user can be improved, and the user can be assisted to realize optimization of hotel room reservation cost in a travel itinerary.

The application discloses a method for setting a transfer bus station and a line based on grid optimization, and comprises the following steps: 1, based on travel big data, respectively calculating travel demand distribution indexes of each unit grid in a region; 2, respectively calculating total travel demand and regional competitive advantage of each evaluation grid by using an evaluation grid optimization method; 3, searching and optimizing the evaluation grid of the site coverage range to respectively calculate and obtain quantitative evaluation values of the evaluation grid and the centroid longitude and latitude of the evaluation grid, thereby obtaining an evaluation grid quantitative evaluation value set in a certain range according to a certain step; 4, determining the optimal unit grid of the site selection of each evaluation grid as the optimal site selection position of the transfer station based on travel cost, and forming a bus driving route scheme; and 5, establishing a multi-objective optimization model to optimize the bus driving route to obtain a final bus driving route scheme, wherein the decision variables of the model optimization include the bus driving route and the number of vehicles equipped on the line. The application realizes scientific and accurate site selection for a city public transport stop.

The invention discloses an urban frequently-congested road section treatment method and system based on reservation travel, belongs to the field of urban traffic management and control, and aims at solving the problem that the urban frequently-congested road section treatment method and system based on the traffic network balance theory by considering the heterogeneity of user time value, fusing the generalized cost of travel time and travel cost and the influence of transfer of multiple traffic modes. Establishing a multi-user, multi-criterion and multi-mode traffic mode division and traffic distribution combination model; the model is further expanded to a variational inequality model with an inseparable road segment impedance function, and the model is solved by using a self-adaptive averaging method; for travelers, the travel time of individuals can be arranged in advance through appointment, the travel path is scientifically selected, and the travel mode is reasonably selected, so that the congestion loss is reduced to the greatest extent. For managers, the reservation travel mode can promote demand-centered urban traffic services and traffic operation organizations to configure on demand, adjust demands by resource constraints, relieve congestion and realize maximum intensive utilization of resources.

To mitigate the reduction in the reliability of pathfinding. [Solution] Based on a travel path plan from the starting point to the ending point of the movement of a moving object, the system detects obstacles on the path the moving object can travel, derives the cost required to resolve the detected obstacles, and searches for a path from the starting point to the ending point of the movement of the moving object based on the cost of resolving the obstacles and the travel cost related to the movement of the moving object. This disclosure can be applied, for example, to an information processing device, an information processing method, or a program.

The invention relates to a portable intelligent luggage case, and belongs to the technical field of luggage cases. The luggage case comprises a lower case shell and an upper case shell rotationally connected with the lower case shell, and the lower case shell and the upper case shell are fixedly closed through a zipper; a telescopic rod is arranged on the upper box shell, a grip is arranged at the tail end of the telescopic rod, and a control panel and a rotary accelerator are further arranged on the grip; the lower box body comprises an upper support and a lower support, a folding device is arranged between the upper support and the lower support, and the folding device comprises a folding driving piece and a folding support. According to the multifunctional luggage case, the requirement of free consignment can be met by changing the size of the case body, the travel cost is reduced, the functions are diversified, the individual requirements of different users can be met, the comfort degree of business trips is greatly improved, and compared with an existing luggage case, the multifunctional luggage case has great advantages.

[Problem] To enable a traveling vehicle to smoothly pass through a merging section without requiring complicated setting work. [Solution] A traveling vehicle system comprises: a storage unit that stores a traveling cost indicating the time required for traveling through each section of a track; a calculation unit that acquires, from the storage unit, traveling costs for sections through which the traveling vehicle travels before entering the merging section from the current position, and calculates the total value of the traveling costs for the traveling vehicle; and a determination unit that determines whether the total value of the traveling costs is lower than a threshold value. The traveling vehicle transmits, to a controller, a request for permission of passage through a merging section scheduled for passage, enters the merging section scheduled for passage upon reception of a passage permission from the controller, and stops at a stop position if no passage permission is received. The controller transmits the passage permission to the traveling vehicle for which the total value of the traveling costs is determined to be lower than the threshold value.

The application relates to the field of travel management and discloses a travel management system which comprises an employee login module, an employee identity verification module, a travel application module, a travel information analysis module, a traffic distribution module, a lodging distribution module, an information receiving module, a data auditing module, a general control module, an information sending module, an employee receiving end and a report generation module; the employee login module is used for guiding employee login information; the employee identity verification module is used for verifying the identity information guided by the employee, and after verification, verification pass information is sent to the travel application module; the travel application module is used for applying for travel by the employee who passes the verification and guiding travel information, wherein the travel information comprises a business trip duration and a business trip location; the travel information is sent to the travel information analysis module to analyze the travel information and obtain path information; the application can more reasonably arrange travel, reduce travel cost and reduce resource waste.

The application discloses a public transport composite network joint optimization method considering heterogeneous demand under low carbon orientation, comprising the following steps: S1, obtaining travel demand data of a target region; S2, constructing a total cost function based on the travel demand data; the total cost function at least includes passenger travel cost, system operation cost and carbon emission cost based on environmental sensitive coefficient for spatial dynamic mapping; S3, establishing a joint optimization model with the target of minimizing the total cost function; the decision variables of the joint optimization model at least include the line spacing, station spacing, departure interval of the subway and the line spacing, station spacing, departure interval of the regular bus; S4, solving the joint optimization model to obtain the optimized network structure parameters; S5, generating a public transport network planning scheme based on the optimized network structure parameters. The heterogeneous demand, multivariable joint optimization and spatial dynamic carbon emission cost are unified.

The application discloses a kind of walking network three-dimensional accessibility evaluation method, device, equipment, medium and product, the method includes the road facility data of target area in mountain city is preprocessed;According to the road facility data after processing, construct multilayer walking network;According to multilayer walking network and elevation constraint, construct composite impedance function that fuses time cost and physical cost;According to user group parameters and composite impedance function, the minimum cumulative travel cost of starting point to target node is obtained to obtain the optimal path planning result of different user groups;According to optimal path planning result and preset threshold, generate the three-dimensional accessible domain of different user groups.Based on multilayer walking network, composite impedance function and user group parameters, optimal path solving can be realized, and the real travel burden of different people under the constraint of mountainous elevation can be accurately quantified, so as to solve the problem that existing technology cannot adapt to the elevation, real walking burden and three-dimensional accessibility of mountain city.

The present invention belongs to the technical field of urban public transportation systems, and specifically is a research method for optimizing urban public transportation networks based on complex network theory, comprising step 1: firstly calculating the travel cost of passengers and adding it to the network as travel impedance; step 2: then calculating the probability of passengers choosing a travel path based on the travel impedance to obtain the passenger flow demand of different sections, adding the travel impedance, the passenger flow demand and the passenger capacity of public transportation as weights to the network and improving the calculation method of the global efficiency of the network based on the weights; step 3: finally establishing a public transportation network optimization model with the global efficiency of the network as the objective function and using the improved ant colony algorithm for solving the problem, which is reasonably designed, improves the efficiency of urban public transportation, and finally alleviates the problems of unreasonable layout of urban bus lines and low operating efficiency of the bus system.

We provide the system. [Solution] The present invention relates to a system that, when an employee goes out or on a business trip, inputs information such as departure point, destination, date and time, number of accompanying persons, meeting schedule, presence or absence of luggage, and desired conditions. The system automatically acquires information from various passenger service providers and rental car services, past settlement data, location information services, satellite office information, weather and road information, etc., and uses generative AI to automatically select and propose the optimal means of transportation, route, and meeting location from multiple perspectives such as cost, time required, number of transfers, convenience, feasibility of holding the meeting, past performance, congestion prediction, and individual preferences. The system is characterized by simultaneously achieving optimization of business efficiency and travel costs for individual employees and the entire group.

The invention provides a travel reservation method, electronic equipment, a storage medium and a computer program product, and relates to the technical field of travel reservation. According to the travel reservation method disclosed by the invention, the space-time network about the reservation period is constructed according to the entity road network of the target area, the entity road network is used for describing the position information of each space node in the target area and the association relationship among the space nodes, and the space-time network is a set of space-time arcs. The space-time arc is a space-time resource which can be used for moving or staying; according to the space-time network and the reservation information set, a plurality of candidate travel schemes are iterated, and the candidate travel schemes are a set of candidate travel tables of travelers; and taking the candidate travel scheme corresponding to the minimum total travel cost as a target travel scheme, the total travel cost being used for measuring the comprehensive cost of the group time cost and the group time deviation cost of each traveler. The technical scheme disclosed by the invention can be suitable for a complex city scene with a large-scale road network.

The present invention establishes an environmental impact assessment method for online car-hailing travel, which is used to evaluate the impact of online car-hailing travel on the traffic environment in an urban road network. From the perspective of network constraints and travel costs, the present invention establishes a ride-sharing network model that conforms to the characteristics of shared transportation in modern cities. The present invention proposes a traffic distribution problem based on section flow and an environmental cost function that conforms to the pollution characteristics of motor vehicles. The combination of the two can predict the flow situation and environmental impact of online car-hailing travel in an urban transportation network. Through the present invention, relevant departments can have a more detailed understanding of the impact of online car-hailing travel on the urban environment, so as to take timely and effective management measures, and provide strong support for the construction of sustainable modern urban transportation.

The present invention provides a method for inducing passenger flow in an urban rail transit network taking into account a variety of disposal measures. The method includes: according to the classification of emergencies and corresponding disposal measures, the types of passengers affected are obtained, and the average induction acceptance of different types of OD is initialized; for train interruption, passenger clearance and return, station passenger flow regulation, passengers in affected sections, and passengers departing from and arriving at the interruption section, a set of recommended travel plans for passengers is generated, and the travel cost of each path is calculated; the path recommendation plan is initialized, the path selection probability, the number of passengers on the path and the fitness value are calculated based on the Logit model, the passenger flow distribution of the road network is updated, and a new recommendation plan is generated using the whale optimization algorithm based on Pareto optimality to determine the best travel plan. The method of the present invention takes into account the different effects of various disposal measures on passengers, as well as the effects of induction on passenger flow distribution and travel costs, in view of emergencies, to achieve dynamic induction of passenger flow in the road network.

To compare a vehicle having an internal combustion engine with a pure electric vehicle.SOLUTION: An information processing device acquires first travel related data corresponding to prescribed travel performed in the past by a first vehicle having an internal combination engine, acquires second travel related data predicted if a second vehicle being a pure electric automobile performs the prescribed travel, and outputs the first travel related data and the second travel related data in a comparable format, and the first and second travel related data include a prescribed time or travel cost.SELECTED DRAWING: Figure 1

The present invention belongs to the field of transportation, and specifically relates to a method and device for bus station site selection and route design based on passenger demand. The method steps are as follows: S1: Establish a directed graph representing traffic conditions based on the geographical characteristics and road distribution of the region. S2: Determine the alternative routes, starting and ending arcs and virtual arcs of the bus route, and establish an operation map. S3: Determine the alternative boarding and alighting points for passengers, passenger boarding and alighting arcs, operation arcs, transfer arcs and virtual arcs, and establish a demand map. S4: Take the arcs in the operation map and the demand map as decision variables; the minimum comprehensive cost of travel cost and route operation cost is the optimization goal; set the constraint condition of the rationality constraint of the route, and establish a line network optimization model. S5: Use a variable neighborhood search algorithm to iteratively optimize the line network optimization model to obtain the optimized site selection and line layout. The present invention solves the problem that the existing bus line site layout is unreasonable and cannot meet the travel needs of passengers.

According to the embodiment of the invention, a travel service method, device and equipment, a storage medium and a program product are provided. The method includes receiving a user input indicating a first constraint on a travel cost of a target trip; and presenting a target interface, the target interface being used for indicating an allocation process of the target order for the target itinerary, the target interface comprising a target element, the target element being used for indicating to use candidate travel cost changing with the allocation process to find a service provider matching the target itinerary, the candidate travel cost satisfying a first constraint. In this way, the travel efficiency of the user can be improved, and the utilization rate of travel resources can be improved.

We provide the system. [Solution] The information processing system provides a means for obtaining schedule information from the schedule management system, A means for automatically identifying the departure point and destination point based on the information of places to visit included in the aforementioned itinerary information, A means for searching for a route between the departure point and the destination point and calculating the travel cost, A means for automatically registering the calculated travel expenses in the expense settlement system, A means of automatically calculating transportation costs using planned route data, by searching for the optimal travel distance between the departure point and destination point using a route search service, A system that includes this.

An embodiment of the present application provides a method, device, server, and storage medium for recommending boarding locations, wherein the method includes: obtaining a user location; if the user location is within an area of ​​interest (AOI), taking the grid in which the user location is located within the AOI as a first grid, wherein the AOI is pre-divided into multiple grids; determining a second grid located around the first grid within the AOI; obtaining a first set of candidate boarding locations corresponding to the area formed by the first and second grids; obtaining a second set of historical real boarding locations corresponding to historical user locations located in the first grid; and determining a recommended boarding location from the candidate boarding locations in the first set based on the distance between the candidate boarding locations in the first set and the historical real boarding locations in the second set. The embodiment of the present application can recommend reasonable boarding locations to users, thereby reducing the travel cost for users to reach the recommended boarding locations.

The invention discloses an intelligent exhibition hall guiding path guiding system and method, and relates to the technical field of intelligent exhibition halls. The method comprises the following steps: constructing a three-dimensional intelligent exhibition hall model according to an intelligent exhibition hall construction drawing and data acquired by unmanned aerial vehicle photography; internet-of-things data in the intelligent exhibition hall are acquired in real time; constructing a space-time weight matrix, and marking exhibit value weights and path passing costs; constructing a user interest dynamic model, and predicting user interest migration; a user selects a user interest exhibition stand recommended by the system through the mobile terminal; the system performs path planning according to the exhibition stand selected by the user, and selects a path recommendation user with the minimum passing cost; and the user watches the recommended path in the three-dimensional intelligent exhibition hall model through the mobile terminal. According to the method, the regional population density is calculated through the equipment in the exhibition hall, the time-space weight matrix is constructed to calculate the passage cost of the user visiting the path, and the lowest passage cost is recommended to the user, so that the interactivity of audiences and the guide efficiency are improved.

The present invention provides a traffic flow prediction method and system for a multi-hop ride-sharing travel network of online car-hailing, and relates to the field of traffic flow prediction. The traffic flow prediction method for a multi-hop ride-sharing travel network of online car-hailing includes: inputting the topological structure, travel mode and travel demand of the target city road network; establishing traffic flow constraints and ride-sharing matching constraints that meet the characteristics of multi-hop ride-sharing travel; calculating the travel costs of travelers in the target city road network through traffic flow constraints and ride-sharing matching constraints; completing the establishment of an equivalent implicit variational inequality model; solving the equivalent implicit variational inequality model to complete the prediction of the traffic flow of the multi-hop ride-sharing travel network of online car-hailing. This method can improve the computational efficiency of traffic flow prediction of the multi-hop ride-sharing travel network, and more clearly define the impact of online car-hailing ride-sharing travel on urban traffic, thereby taking efficient management measures, improving the construction of online car-hailing platforms, and promoting the development of modern urban transportation systems.