266 results about "Travel cost" patented technology

The invention relates to a dispatching and route-planning method for multiple AGVs used for material transportation in a factory. The method comprises the following steps: (1) modeling material transportation scenes in a factory, including the travelling routes of AGVs, AGV charging points, loading and unloading points and standby zones for AGVs; (2) storing allocated tasks in a queue; (3) findingout one AGV closest to a current-task issuing site from a set of available AGVs; (4) calculating the shortest route from a current-task start point and a current-task stop point by using an A* algorithm; and (5) calling a time-window algorithm for maintenance of a time-window vector table of the shortest route obtained in the step (4). Compared with traditional A* algorithms, a heuristic functionin the A* algorithm used in the invention takes the traveling cost and turning cost of the AGVs on roads in a workshop into consideration, the time-window vector table of each route section is maintained, and whether conflicts exist in planned routes is determined by judging whether superposition exists; so the problems of collision conflicts, deadlock and the like of AGV route planning are effectively overcome.

A method for providing in-vehicle fuel-related information is disclosed. A geographic location of a vehicle is determined. A driving distance remaining for the vehicle is estimated based on a current fuel level and a fuel consumption rate of the vehicle. Fuel providers are located within a search area of the driving distance remaining for the vehicle, and one or more of the fuel providers are output. A travel cost for the vehicle may also be calculated.

A hybrid vehicle control ECU calculates an estimated EV travelable distance based on a minimum travel cost and a usable charge amount of a battery, when a next external charge point, at which an external power source is available for charging, is set. The minimum travel cost indicates a minimum value of electric power amount consumed by a battery when a vehicle travels a unit distance. If the estimated EV travelable distance is longer, electric motor travel is selected estimating that it is possible to reach the next external charge point. If a remaining distance is longer and a present SOC is higher than a usable SOC lower limit, hybrid travel is selected. If the present SOC is lower than the usable SOC lower limit, a constant SOC travel is selected.

The invention discloses a multi-mode station stopping method at an optimized comprehensive cost for urban public transport. The stopping method includes steps of firstly, acquiring passenger travel information, vehicle operating information and route station information; secondly, building a objective function with the lowest comprehensive cost based on passenger travel cost and vehicle operating cost, then building constraint conditional expressions corresponding to the objective function; and thirdly, substituting the passenger travel information, the vehicle operating information and the route station information which are acquired in the first step into the objective function and the constraint conditional expressions which are built in the second step to obtain departure frequency h and stopping modes O, and obtaining a multi-mode station stopping mode with the lowest comprehensive cost. The constraint conditional expressions comprise constraints in aspects of public transport capacity, passenger flow, time points, departure intervals and a load factor. By the method, the constraints in the aspects of the public transport capacity, the passenger flow, the time points, the departure intervals and the load factor and the stopping modes are taken into consideration, so that the passenger travel cost and the public transport operating cost are minimized.

The invention provides an operation coordination optimizing method of common public transit connecting with urban rail transit and a system thereof. By counting with mathematical statistics, coordination transfer rate and passenger transfer cost under each transfer mode are obtained, a multivariable operation coordination optimizing mode which aims at the least mass cost of the transit system total cost which comprises operator cost and passenger travel cost is built, and an algorithm with a genetic algorithm based on Powell is optimized. The system comprises a GIS map reading and transit line identification procedure module, a transit system data inputting procedure module, a transit system cost analyzing procedure module and a transit system optimization processing procedure module. The invention solves the problem of the operation coordination of the urban rail transit and the common public transit, so as to improve the scientificity and the effectiveness of transit network operation. Simultaneously, the system has simple input and increases the convenience of operation coordination work.

A video conference system based on Soft-MCU includes a server, a video conference terminal BHU-ICT, a computer terminals and video communication system procedures, wherein, the video conference terminal BHU-ICT is composed by a digital video camera, a microphone, and an audio and video encoder. The digital video camera and the microphone are respectively connected to the audio and video encoder, the encoder, the server and the computer terminal are connected on the network, and the procedures are respectively running in the server and the computer terminal. The digital video camera and the microphone acquire the audio and video information of the meeting place, and use the encoder to execute hardware coding. A media control procedure runs on the computer terminal, and an MCU service procedure run on the server terminal, uses the Ethernet to exchange the audio and video information with the encoder, for performing audio and video communications. All of the texts, requests, commands and other information formats in the system control signaling system conform to the XML standard. The invention constructs a remote network video communications platform with high-quality, high stability and high security, which can be widely used in party and government organs and enterprises and institutions. The invention has advantages of reduced system cost, reduced travel costs, shortened decision cycles and enhanced work efficiency.

The invention discloses a multi-mode public transport region scheduling control method which comprises the following steps of: carrying data acquisition on public transport scheduling control, transmitting the acquired data into a public transport scheduling control system by utilizing a communication line and storing the acquired data into a database; carrying out layering and combination on multi-mode public transport; formulating multi-mode and multi-line public transport region scheduling control schemes through the public transport scheduling control system, wherein the schemes comprise a travel timetable, a vehicle scheduling scheme and a driver scheduling scheme; and uniformly issuing scheme results to a vehicle on-board unit, a driver mobilephone and a site field scheduling control terminal microcomputer through the public transport scheduling system. The system overcomes the defects of the conventional manpower scheduling, combines a plurality of modes, realizes the reduction of passenger travel cost and the enterprise cost and excavates sharing benefits of hauling capacity and manpower on a boarder level.

The invention discloses an automobile use right sharing device, a control device and an intelligent automobile. The automobile use right sharing device comprises an information receiving module, an authorization data generating module and an information transmitting module, wherein the information receiving module is used for receiving automobile use right application information of an automobile use right applicant and automobile authorization result information of an automobile owner; the authorization data generating module is used for associating pre-stored characteristic information of the automobile use right applicant with automobile information to generate authorization data after receiving the automobile authorization result information agreed by the automobile owner; and the information transmitting module is used for transmitting the automobile use right application information when identity information of the automobile use right applicant passes through the verification, transmitting the automobile authorization result information when the automobile authorization result information is received and transmitting the authorization data. According to the technical scheme provided by the invention, automobiles are rapidly and reliably shared, the traveling mode is optimized, the traveling experience is improved, the traveling efficiency is increased, the traveling cost is reduced, and social problems, such as automobile tail gas pollution, road congestion and the like, due to the increasing of the automobiles are solved.

The invention provides an interest point search method and a navigation method. The interest point search method includes: presorting interest points; determining key attributes corresponding to each interest point type to obtain interest point key words; determining the interest point types matched with the interest point key words and sorting the interest points in the determined interest point types according to the key attributes corresponding to the determined interest point types. By the method, the problem that suitable interest points cannot be found out for a user unfamiliar with the destination in the related technology is solved, so that the interest point search method has the advantages that the interest points more suitable for the user can be found out, travel cost of the user can be reduced, and effect of user travel experience can be enhanced.

The invention discloses a public transportation service system and method based on an electric automobile. The system comprises a travel demand collecting module, a vehicle dispatching module, a vehicle monitoring and management module, an information service module and an auxiliary decision making module, wherein the travel demand collection module realizes the vehicle appointment, and achieves the goals of completing the online payment of the travel cost of a passenger after the calculation on the travel cost of the passenger and generating a corresponding payment completion two-dimensional code, and the two-dimensional code is used as a vehicle taking evidence; a dispatching management module performs demand overall planning analysis according to appointment information obtained by the travel demand collection module, and configures and completes a route operation time table; the auxiliary decision module realizes the basic data management and operation statistic analysis. The public transportation service system and method based on the electric automobile can achieve the goal of providing the convenient and comfortable travel service for the public; meanwhile, integrated monitoring covering the vehicle operation whole process is realized; the resource intensification is realized.

The invention provides an operations management system (OMS) for sewage plants. The OMS for sewage plants comprises a process operation monitoring device, an operation report management device, an equipment management device, an approval process device, a data management device and a database server. The database server stores data in the process of working of the process operation monitoring device, the operation report management device, the equipment management device, the approval process device and the data management device. The OMS for sewage plants is capable of remotely managing and monitoring operation status of sewage plants in real time, thereby saving travel cost, improving work efficiency, normalizing business. The invention further provides a remote information management system for sewage plants.

The invention discloses a method of optimizing a departure interval of multiple bus lines collaboratively with a multi-objective model. The method includes the three steps of collecting basic relevant information, dynamically scoring, and solving for a multi-objective model. In the optimizing process, maximizing operation profits of bus companies is met, and minimizing the passenger waiting time and passenger travel cost is also considered, the interests of the two aspects of the bus companies and passengers are maximally ensured to be optimal, and comprehensive collaborative optimization is performed from the points of view of both the system and users. Considering the multiple aspects from multiple angles and combined with actual bus operation characteristics, the method of the invention is highly practical, can provide theoretical support for decision-makers of bus organization and management, maximally ensures the interests of both bus companies and passengers, improves the satisfaction of the passengers with the bus, greatly improve the operating efficiency of multi-line buses, and has important practical significance.

The invention discloses a scheduling method of goods vehicle planned driving lines. The method includes the following steps that a vehicle starting position and position information of a client that requires service are obtained respectively; the vehicle driving lines are defined as a series of continuous position pairs, and each position pair represents a corresponding direct driving path between a starting point and an end point; mileage costs and load costs of each position pair are calculated; goods vehicle planned driving line combinations that meet all conveying demands of the client are determined by means of the series of defined continuous position pairs and operating goods vehicle number; total traveling costs of each goods vehicle planned driving line combination are calculated by means of the mileage costs and the load costs; the required optimum goods vehicle planned driving line combination is determined according to the calculated total traveling costs of each combination; a mathematical optimization model is established on basis of a goal so that purposes of improving conveying efficiency of goods vehicles and reducing oil consumption can be achieved.

The invention discloses a robot path planning method and system based on a topology map. The method includes the steps of acquiring a scatter diagram, and setting an initial motion point and a targetpoint of a robot in the scatter diagram, wherein the scatter diagram is abstracted from an actual environment including obstacle nodes; according to the scatter diagram, constructing a voronoi diagramcorresponding to the scatter diagram; calculating a travel cost of each side in the voronoi diagram; according to the travel cost, using an improved Dijkstra algorithm for obtaining several paths; according to a particle swarm algorithm, determining the shortest path from the paths. By adopting the method or system, the disadvantages that objective function weight assignment is empirical and thesearch space is incomplete can be avoided.

The invention provides a vehicle travelling guiding system based on internet of vehicles and a method for guiding vehicle travelling, belonging to the field of navigation apparatuses. The vehicle trip guiding system includes a route planning unit, a road condition information acquisition unit, and a road condition data service center, the route planning unit is used as a terminal to be arranged on a vehicle, and based on the road passing speed information of the passing road, the travelling route between the departure and the destination is planned. The road condition information acquisition unit is arranged on the vehicle, the real-time position of the vehicle, the passing direction of the vehicle, and the real-time passing speed of the vehicle can be timely monitored, the road condition data service center is in communication connection with the route planning unit and the road condition information acquisition unit via wireless network. The system improves the travelling efficiency, reduces the travelling cost, alleviates the traffic pressure, and reduces the traffic pollution.

The invention provides a one-stop travel activity management method, which comprises the steps that: a management user sets a corporation travel activity strategy; a common user submits a travel activity application meeting the corporation travel activity strategy for examination and approval by a leader; the leader examines and approves the travel activity application submitted by the common user; a travel facilitator provides corresponding travel service according to an examined and approved travel activity order; and corporation finance staff check settlement with the travel facilitator according to the provided travel service. The invention also provides a one-stop travel activity management system. According to the one-stop travel activity management method and system provided by the invention, one-stop evection application, air ticket and hotel reserving, travel policy and budget control, and charge reimbursement can be realized, and a user can finish all jobs related to evection by logging in a system once, thus the user working efficiency is increased, the service satisfaction degree of the employee to related departments is elevated, the user travel cost and multi-system maintenance cost are reduced.

The invention discloses a park-and-ride travel route planning method and a park-and-ride travel route planning device. The method comprises the following steps: determining a parking lot available at the time of arrival according to the location information of the departure point and the location information of the destination point input by a user; planning multiple park-and-ride travel routes between the departure point and the destination point according to the location information of the departure point, the location information of the destination point and the location information of the available parking lot, and determining the travel cost of each park-and-ride travel route; and determining a park-and-ride travel route of which the travel cost is lower than a set cost threshold from the multiple park-and-ride travel routes corresponding to predicted remaining parking spots of the available parking lot, and pushing the park-and-ride travel route to the user. According to the invention, an available parking lot between the departure point and the destination point is determined, park-and-ride travel routes (driving to a parking lot first and then taking a public transport vehicle near the parking lot) are planned, and an optimal park-and-ride travel route is recommended based on the travel cost of each park-and-ride travel route.

A multi-city criteria correlation and cost query (MCCQ) apparatus generates potential travel destination suggestions. The MCCQ apparatus is configured with a user interface adapted to receive source and destination criteria from a user which is processed using a multi-criteria correlation processor and comparing the destination criteria to information about destinations in a city database. City data record objects and city pair objects are formed for each identified destination alternative and transmitted to an internal or third party supplier of travel cost or other pertinent travel data. City response record objects or city pair report objects are generated corresponding to the data attributes of each city data record object or city pair object and are stored in a temporary aggregation database. In various embodiments results are sorted and/or filtered to generate a multi-destination comparison report including cost or other data which may be displayed as a physical document or on a user interface component.

An optimal path search system, which optimizes a travel path of a moving object, comprising: a path information database; and a path search unit that searches for an optimal path that exhibits a minimum travel cost borne by the moving object, from among travel paths of the moving object, wherein: the path search unit is configured to: determine destination points on the path network; search for at least one nearest node to each of destination points, search for a second travel path along which the moving object travels by passing through the at least one nearest node and all of the at least one destination point, determine the second travel path for which a travel cost is minimum; and search for the travel paths followed by using each of a plurality of moving means, respectively, in a case where the moving object travels along the optimal path.

The invention relates to an electric vehicle dual-scale charging guiding method and system considering users' satisfaction degree. According to the method, electric vehicles are divided into an immediate charging cluster and a time-delay charging cluster according to charging time frame requirements from uses, and satisfaction degree functions in different scales are established; in the time scalelayer, a model is established by considering power grid factors and user charging cost factors, and a load curve is adjusted by guiding the start charging time of the electric vehicles; in the spacescale layer, a model is established by considering charging station factors and user traveling cost factors, and the charging station selection of each vehicle is planned, so that the charging stationoperation efficiency is improved; and electric vehicle charging behavior guiding for users on time and space scales is performed according to the solved optimal solution. Compared with the prior art,optimization and balance utilization of the load curve, the traffic condition and charging station equipment are realized while users' satisfaction degree is satisfied.

The invention discloses a customized bus line design method based on a two-stage heuristic algorithm, comprising the steps of obtaining the customized bus line demand, constructing a customized bus line design model with a time window, designing the customized bus line scheme based on the two-stage heuristic algorithm and solving the model. The method considers the problem of multi-regional customized bus route design, constructs a customized bus route design model and outputs a route scheme on the basis of considering the passenger travel cost and the customized bus operation cost, which provides a reference for the actual planning and operation of the customized bus. Compared with the research of the prior customized bus route design problem, the invention considers the passenger demandin time and space, and designs a two-stage heuristic algorithm, the output of the algorithm includes the information such as the station through which the route passes, the arrival time of the vehicleat each station, the operation time and the like. The results obtained by the invention can provide a theoretical method for actually customizing the planning of the bus line and the compilation of the timetable.

The invention relates to an urban subway dynamic passenger flow distribution method constructed on the basis of a time-space network. Based on a subway passenger flow demand and an aging characteristic of passenger travel cost, urban subway dynamic passenger flow constructed by the passenger travel time-space network is distributed. Based on a subway space network, train running timetable information is combined, subway physical stations are expanded in time and space and a minimum cost route among each station in the time-space network is obtained according to a shortest route search algorithm. According to the dynamic passenger flow distribution method, a user balance principle can be met so that a passenger travel time and space route is closer to an actual one.