63 results about "Passenger satisfaction" patented technology

The invention relates to a taxi intelligent comprehensive supervision and service system which comprises a taxi vehicle intelligent service system and a taxi comprehensive supervision service and operation analysis system. The taxi vehicle intelligent service system is connected with the taxi comprehensive supervision service and operation analysis system through a wireless network and sends on and off duty signing data of a driver, operation detail data, service evaluation data, passenger volume investigation and statistics data and alarm data to the taxi comprehensive supervision service and operation analysis system in real time; and the taxi comprehensive supervision service and operation analysis system receives and carries out mining analysis on the data and sends terminal control data, driver service quality star-level data, dynamic check data and public information data to the taxi vehicle intelligent service system, therefore, the invention can enhance the scientificity of industry management and decision and strengthen the supervision of a taxi industry, thereby enhancing the service level and the passenger satisfaction of the taxi industry.

The invention discloses a public transportation passenger satisfaction evaluation method and system based on a public opinion knowledge graph, and comprehensively considers a passenger satisfaction analysis method based on questionnaire survey and public transportation network public opinion. A network public opinion analysis technology, a natural language analysis method, a public transport knowledge graph, machine learning and other methods are applied to make a powerful supplement to traditional public transport passenger satisfaction analysis. The method mainly comprises the following steps: implementing text acquisition and processing analysis; completing modeling and storage of the public transport public opinion knowledge graph; acquiring and analyzing satisfaction information of'diving 'passengers; achieving public opinion index mapping, service score research and judgment and construction of a historical event method library. According to the method, text topic classificationand satisfaction index positioning are achieved, and corresponding relations between satisfaction and departments and responsibilities thereof are defined, so that powerful supplements can be providedfor traditional public transport passenger satisfaction analysis, and more scientific reference opinions can be provided for understanding public transport passenger demands and related department service shortages.

The invention discloses an induction method and an induction system for comprehensive passenger transport hub passenger transportation mode selection. The induction method comprises the steps that the transfer time is predicated, wherein the transfer time is the time when passengers reach a transfer station from a comprehensive passenger transport hub and leave away from the transfer station; the transfer modes, the transfer station and the predicting time leaving from the transfer station are issued at the comprehensive passenger transport hub; the passengers select the transfer modes according to the issued information of the comprehensive passenger transport hub. The induction method and the induction system have the advantages that through the information issuing and the predication of the transfer time between the external traffic mode and the internal traffic mode of the comprehensive passenger transport hub, the data reference is provided for the traffic transfer and the mode selection of the passengers, the problems of overlong passenger waiting time, unbalanced passenger assignment of each traffic mode and the like caused by the blind selection of certain traffic modes by the passengers are avoided, the passengers are effectively induced to transfer in the traffic mode with small passenger flow volume and short waiting time, and the operation efficiency of the hub and the satisfaction degree of the passengers are improved.

The invention discloses method and system for optimizing a multi-line collaborative operation scheme of urban rail transit. The method comprises the steps of counting road network characteristics of the existing urban rail transit road network, passenger flow characteristics, operation schedule characteristics of trains of each line and station characteristics; preparing urban rail transit multi-line collaborative operation simulation schemes; defining generalized passenger trip cost functions; building a passenger route selection probability model; calculating the passenger flow limiting quantity of each station in each simulation scheme; calculating the total passenger satisfaction of each simulation scheme; treating the simulation scheme corresponding to the top total passenger satisfaction as the optimal urban rail transit multi-line collaborative operation simulation scheme. According to the technical scheme, the method has the advantages that the limitation of static and independent preparation of passenger flow limiting strategy by the traditional single-line or single-station operation organization method can be overcome, and the problem of multi-line and multi-station dynamic collaborative passenger flow limiting can be solved.

The invention discloses a metro one-code pass management method and system based on an intelligent terminal. The system comprises the mobile intelligent terminal, a gate machine scanner and a background management server. The background management server is in communication connection and information interaction with the mobile intelligent terminal and the gate machine scanner through a wireless network. The operation process of the mobile intelligent terminal is simplified, the traveling experience of getting up a metro first, then making a payment and rapidly going out is realized, the background management server can check the traveling record uniquely matched with a user, the data support is provided for scientific ticket buying and urban comprehensive traffic network optimizing, the passenger satisfaction is improved, the operation cost is reduced for an operator, and scientific, efficient and intelligent management is realized.

The invention relates to a bus departure time table making method, which comprises the following steps that (1) one day is divided into K time periods according to the bus passenger flow volume, and a target function fk=alpha Mk + beta G is built; (2) the passenger satisfaction degree Mk and the bus company satisfaction degree Gk are calculated; (3) the departure time interval is determined, and a simulation experiment is carried out according to parameter values in the third step and a heredity-simulation annealing calculation method by utilizing a MATLAB (matrix laboratory). The method provided by the invention has the advantages that both the operation cost of bus enterprises and bus dynamic traveling demands of travelers are considered, the reasonable bus time table is made, and higher effectiveness and flexibility are realized.

The invention provides a method and device for determining a dispatching strategy and relates to the technical field of data processing. The method comprises the following steps: acquiring target data, wherein the target data is data used for specifying a dispatching strategy of a target motorcade; acquiring target expectation of the target motorcade, wherein the target expectation comprises at least one of the following parameters: operating cost of the target motorcade, passenger satisfaction of the target motorcade and a ratio of quantities of people and vehicles in the target motorcade; respectively inputting the target expectation and the target data into each of a plurality of algorithms, thereby obtaining a plurality of dispatching strategies and score values of each dispatching strategy. According to the method disclosed by the invention, the technical problem that the dispatching strategy cannot meet actual application requirements because single factors such as an average speed of the vehicles, initial and terminal stations of vehicle running and the like are taken into consideration only in the process of solving optimization of the dispatching strategy in the conventional technical scheme is solved.

The invention discloses a big data-based optimization method of a ground public-transportation fixed-line timetable. First, all collinear public-transportation lines are extracted for target lines, which need to be studied, according to GPS trajectory data, IC card swiping data of the collinear public-transportation lines and number data of vehicles arriving at each station in unit time are extracted, and vehicle running time data are extracted; then all the extracted data are analyzed and processed; passenger preference coefficients are calculated on the basis of passenger flow data, full-dayworking time periods of the public-transportation lines, maximum passenger capacity of the public-transportation service vehicles, standard full-load rates, first/last-vehicle departure time, and maximum and minimum vehicle departure intervals are determined; and then the processed data are input into a constructed multi-objective optimization model to obtain an optimized public-transportation vehicle departure timetable. The optimization method of the ground public-transportation fixed-line timetable provided by the invention can satisfy passenger flow demand, enhance public-transportation operation efficiency, reduce public-transportation travel delay, improve service reliability, and improve passenger satisfaction degrees.

The invention provides an investment-based type urban public transport performance evaluation method. According to the method, an urban public transport performance evaluation model is constructed on the investment-based premise, a DEA method is used for carrying out performance evaluation on urban public transport, and under the consideration that output is not reduced, investment is saved to enable performance of public transportation enterprises to be effective. Experiments verify that the feasibility of the performance evaluation model, and results show that through the DEA model, scientific performance evaluation results can be obtained, and a performance improving direction is provided. The public transportation enterprises can save resources and improve passenger satisfaction degree to improve performance and the public transportation partaking rate, and positive significance on energy conservation and emission reduction and green transport is realized.

The invention relates to an automatic adjustment method for urban rail transit trains based on real-time passenger flow. The specific adjustment process of the method comprises the steps that when a train runs to a platform, a trackside ATS judges whether the train is early, late or on time by comparing the actual arrival time of the train with planned timetable time; in combination with the real-time passenger flow condition of the platform, the train operation time is adjusted through the combination of the platform stop time and the interval operation time, and the adjusted time comprises the stop time and the interval operation time; and the adjusted time is sent to vehicle-mounted ATC equipment, the vehicle-mounted ATC equipment calculates a train interval ATO speed curve in combination with a movement authorization terminal point obtained from the trackside ATC, and automatic adjustment of the train is achieved. Compared with the prior art, the method has the advantages that automatic adjustment on early or late arrival of the train is achieved by combining actual conditions of the passenger flow, and the passenger satisfaction is effectively improved.

The invention provides a vehicle ride-sharing path optimization method and system. The method comprises the steps of acquiring real-time riding data of vehicles, roads and passengers; screening and eliminating the data outside the area range; temporarily storing the data in the area range; the highest driver income, the shortest vehicle driving distance, the minimum vehicle idle time and the highest passenger satisfaction are taken as optimization objectives; establishing a multi-vehicle ride-sharing matching and path optimization model with constraint conditions; according to the vehicle, road and passenger riding real-time data temporarily stored in the server module, solving the multi-vehicle ride-sharing matching and path optimization model by utilizing an improved genetic algorithm and a simulated annealing algorithm; the optimal target function value is obtained, the relation between passengers, the relation between passengers and vehicles and the relation between vehicles are established, ride-sharing matching between passengers and passengers and vehicles is effectively achieved, path planning is efficiently achieved, the contradiction between passengers and drivers is balanced, vehicle resources are saved, and energy waste is reduced.

The invention discloses a passenger group event disposal method under the large-area flight delay scene. The method comprises steps that firstly, a satisfaction dynamics model is constructed to quantitatively analyze dynamic change of passenger satisfaction under the large-area flight delay scene and the satisfaction improvement effect of different measure combinations, secondly, a passenger satisfaction income model based on the prospect theory is constructed, and lastly, an evolution gaming method is utilized, shortage of airport service resources under the large-area flight delay scene is fully considered, and a passenger group event disposal model based on evolution gaming under the large-area flight delay scene is constructed. The method is advantaged in that under the passenger group event scene caused by large-area flight delay, service demands and satisfactions of different flight passenger groups are balanced under resource shortage conditions, resource allocation strategies of an airport management side and flight delay disposal and passenger service schemes of multiple aviation companies are coordinated, group event disposal efficiency under the large-area flight delay scene is improved, and the wide popularization application prospects are realized.

The invention provides a whole-process paperless customs clearance system for smart airport security check. The system is characterized in that a human-certificate integrated self-help customs clearance system is mainly responsible for verifying consistency of passengers and certificate information at an airport entrance; a human-certificate-ticket integrated self-help customs clearance system ismainly responsible for verifying consistency of passengers, certificate information and purchased flight ticket information of the passengers; a security-check human face re-check system is mainly responsible for verifying whether the passengers to be re-checked pass through security check or not in a current security check channel; a boarding self-help customs clearance system is mainly responsible for verifying whether the passengers waiting for boarding in a boarding flight at the current gate are on the flight; a boarding human face re-check system is mainly responsible for verifying whether the passengers to be re-checked at the current gate are allowed to board. According to the whole-process paperless customs clearance system for the smart airport security check, safety margin of the airport security check can be effectively improved, human error rate is reduced, working strength of workers is reduced, passenger satisfaction degree is improved, and resource allocation is optimized.

The invention discloses a ticket checking system. The system is characterized in that the ticket checking system comprises a counting module, a ticket information read module and an information analysis module; the counting module includes a ticket entrance counting submodule and a compartment counting submodule; the ticket information read module is used for calling a ticket purchasing information and confirming a number of persons who purchase tickets; and the information analysis module is used for analyzing the number of persons who purchase tickets and boarding person number information, and giving a ticket checking prompt according to analysis result. The invention also provides a ticket checking method. The system and the method have advantages that 1, efficiency for a ticket agent to check tickets and a ticket supplementation rate are increased, actual incomes are increased too, and a fare evasion behavior is reduced; and 2, unnecessary ticket checking links are reduced, manpower cost is saved and passenger satisfaction is increased.

The invention relates to a method for analyzing service stability of public transport vehicles. In the process of defining service stability of urban public transport vehicles, multiple defined characteristics of existing reliability definition, passenger satisfaction definition are fused; four definitions such as passenger riding time stability, public transport vehicle service capacity stability, public transport vehicle running time stability and public transport vehicle running state stability are constructed; and the four definitions reflect the affect of the public transport vehicle running state stability on the passenger satisfaction from different angles; the comprehensiveness of the public transport vehicle running stability definition can be guaranteed; and a more comprehensive method for analyzing the service stability of the public transport vehicles is provided.

An automated management system for waiting places comprises a PC (Personal Computer), a PLC (Programmable Logic Controller), a smoke alarm, a flame detector, a ticket gate, a waiting lighting lamp, an air conditioning fan and a sound output device, wherein an Ethernet card and a configuration software have already been installed in the PC; a power supply module, a CPU (Central Processing Unit) module, an Ethernet communication module, a digital quantity input module, a digital quantity output module and an analog quantity output module are arranged in the PLC. Through different human-machine interface operations in the unified management system, the monitoring functions of self-service ticket checking, channel guiding, room temperature regulating, light control, people and object seeking and safe alarm can be realized, thus the flexibility of daily use and high efficiency of management in the management system are improved, meanwhile the system can effectively help workers in a waiting room to realize humanized guest service, and the passenger satisfaction degree is increased.

The invention provides a multivariate data-based urban bus transportation service index construction method. The method includes the following steps that: data are acquired, a transport speed, vehiclehead time interval stability, a full load rate, a station coverage rate, grid line density and passenger satisfaction are calculated separately; 2, indexes in different items are calculated: a rapidity index is calculated according to the transport speed, a reliability index is calculated according to the vehicle head time interval stability, comfort performance is calculated according to the full load rate, a convenience index is calculated according to the station coverage rate and the grid line density, and a passenger feeling index is calculated according to the passenger satisfaction; and 3, urban bus transportation service index calculation is performed: the weight coefficient of each index is calculated on the basis of an analytic hierarchy process weight calculation method, and anurban bus transportation service index is calculated according to a formula described in the descriptions of the invention. According to the multivariate data-based urban bus traffic service index construction method of the invention, the service level of bus transportation is monitored from a plurality of dimensions and in a plurality of scales, and supervision capacity and scientific decision-making capacity related to bus transportation can be improved.

The invention discloses a flight big data-based gate space resource arrangement method and system. The method comprises the following steps of establishing a probability distribution prediction model of the predicted loading time of each inbound flight and the predicted unloading time of each outbound flight in an airport, combining the arrival flights and the departure flights, and calculating the operation conflict probability of each arrival-departure flight combination based on the probability distribution prediction model of the arrival flights and the departure flights, screening a port entering-port leaving flight combination meeting the tolerance threshold requirement, and arranging a feasible connection combination scheme of all flights in the airport , based on the screening conditions that the bridge approaching rate is maximum, the passenger experience critical value is minimum, and the sliding time is shortest, screening the arrangement combination meeting the requirements from the connection combination scheme. The method has good goodness of fit with the flight historical operation condition, the accurate gate scheduling time sequence can achieve the dual effects of the increase of the turnover rate of the gallery bridge and the decrease of the station change rate, the satisfaction of passengers can be effectively improved, and the ground taxiing time of airplanes can be shortened.

The invention discloses a method for predicting the transport capacity demand of taxies in a railway station based on multiple linear regression. In order to improve the taxi connection operation efficiency of the railway station as soon as possible and to effectively analyze and predict the taxi transport capacity of the railway station, the method selects the railway station as a research object, calls necessary data, designs a prediction model, and provides knowledge reserve for the transport capacity allocation of the railway station. The method comprises the following steps: firstly, extracting taxi data and passenger order data with a date mode for a railway station to be researched, filling missing values by adopting a linear interpolation method, and counting travel time in a finished order; predicting the number of passengers who arrive at the port and need to take taxis in the railway station, and predicting the number of the passengers who need to take the taxis by using a multiple linear regression method. According to the method for predicting the taxi transport capacity demand of the railway station, the taxi demand of the railway station can be analyzed and predicted, the transport capacity scheduling work can be deployed, the operation efficiency can be enhanced, the service reliability can be improved, and the passenger satisfaction can be improved.

A system for measuring passenger satisfaction of a passenger in a vehicle may include a first sensor structured to detect a first property of the passenger and a processor operably coupled to the first sensor. The processor structured to calculate a passenger satisfaction index based on the first property of the passenger. A method for measuring passenger satisfaction in a vehicle may include detecting, with a first sensor, a first property of the passenger; calculating, with a processor, a passenger satisfaction index based on the first property of the passenger.

The invention discloses a transfer station reckoning method based on multivariate data, and particularly relates to the technical field of urban intelligent bus data mining, comprising the steps of S1, acquiring main transfer station pairs and selecting station pairs which may have multi-station transfer, S2, filling in multi-station transfer lines and station lists according to transfer habits and transfer psychological factors of passengers; S3, according to the obtained algorithm transfer distance, carrying out transfer proportion calculation on the number of passengers getting off the bus at adjacent stations; and S4, according to the actually measured number of transferred passengers and the types of the transfer station pairs, training the above algorithm based on various bus peak and low peak time periods, outputting a corresponding training model. According to the method, the actual passenger flow transfer information of the high and low mean peaks can be accurately determined, corresponding transfer facilities and equipment can be conveniently matched by urban construction, traffic management and other departments, and more accurate transport capacity and transport volume matching can be conveniently carried out by public transport operation and management departments, so that important public transport urban indexes such as public transport transfer efficiency and passenger satisfaction can be improved.

The invention provides a high-speed train rescheduling method based on dynamic passenger flow under a strong wind condition. The high-speed train rescheduling method comprises the following steps: step 1, acquiring a high-speed train plan timetable, passenger travel demands and strong wind speed limit scene basic information; 2, a train interval operation time constraint, a train stop time constraint, a train departure time constraint, a station capacity constraint and an inter-station block interval capacity constraint are established; according to the invention, the real-time rescheduling schedule of the high-speed train and the redistribution scheme of passengers detained at each station on the railway line can be calculated within the effective time, the train dispatcher is assisted to make an optimal dispatching decision, and the train delay caused by the speed limit of the high-speed train due to strong wind and the total travel time of passengers at each station can be effectively reduced; existing railway transport capacity resources can be efficiently utilized to meet the travel requirements of passengers, the use efficiency of railway lines is improved, the negative influence of strong wind weather on high-speed train operation is effectively controlled, and the railway transport service quality and the passenger satisfaction degree are further improved.

The invention discloses a security check method and device, a storage medium and electronic equipment. The method comprises the following steps: acquiring first data of a passenger and second data ofluggage carried by the passenger; classifying the passengers based on the first data and the second data, and determining security check channels corresponding to the passengers; and performing security check on the passenger based on the security check strategy corresponding to the security check channel to obtain a security check result of the passenger. According to the invention, the technicalproblems of low efficiency, high labor cost and low passenger satisfaction of a security check method in the prior art are solved.