33results about How to "Improve travel satisfaction" patented technology

The invention discloses a traffic flow detection induction method, which belongs to the technical field of intelligent traffic. The method is characterized in that on the basis of the ultrasonic and road condition video collection cooperative work, the transport network information of different urban roads is centralizedly processed through a traffic cloud information service platform, and the traffic information release and traffic induction can be carried out in real time. By combining the three advanced technologies, the traveling difficulty caused by incomplete information of the road traffic network can be effectively solved; moreover, the route planning problem for the traveling of the particular user can be solved on purpose through the road condition video inquiry and request service function of the system, the compulsory information of the traditional induction method for the user can be avoided, the consciousness for the user to initiatively anticipate in the traffic adjusting process can be enhanced, the traffic coordinate capacity of the road network can be enhanced, the traffic pressure can be alleviated, and the traffic induction purpose can be maximally realized.

The invention provides a motor speed control method and control system, and the speed control method employs an asymmetric S-shaped speed curve, and comprises: determining an acceleration curve equation through calculation according to a preset parabola curve equation at an acceleration stage of a motor, and controlling acceleration operation of the motor through the acceleration curve equation; in the motor constant-speed stage, controlling the motor to operate at a constant speed according to the speed corresponding to the acceleration termination moment in the acceleration stage; and in themotor deceleration stage, adopting a preset S-shaped speed curve with constant jerk, and controlling the motor to decelerate according to the S-shaped speed curve with the constant jerk. According tothe invention, an acceleration curve of a quadratic parabola with a downward opening is designed, the motor torque in the acceleration stage meets the load torque requirement, the running stroke of the motor is greatly improved within the same acceleration time, then the acceleration efficiency is improved, and in addition, by conducting reasonable trajectory planning on the whole movement process, connection between all movement stages is smooth and free of impact.

The invention provides a passenger station equipment application analysis and health condition evaluation method and system. The method comprises the following steps: acquiring real-time state information related to target equipment in a passenger station; determining a health probability value of the target equipment; determining a health matching level of the target equipment according to the health probability value; under the condition that the health matching level is lower than a preset health level threshold value, according to the real-time state information, performing dynamic health condition evaluation on the target equipment to obtain a health evaluation result, a fault trend prediction result, a fault deduction result and a residual life cycle estimation result of the target equipment. According to the method, the problem of resource waste caused by untimely or frequent equipment maintenance in a traditional operation mode can be solved, the remaining life cycle, the fault trend and the production operation condition of the intelligent passenger station equipment are predicted and analyzed through reasonable arrangement of the maintenance nodes, the working efficiency of passenger transport operators is improved, and the travel satisfaction degree of passengers and the intelligent level of the railway passenger transport station are greatly improved.

The invention discloses a TETRA and LTE-based adaptive rail transit communication system and a communication method. The system comprises an onboard platform and a dispatching platform, wherein the onboard platform comprises a terminal, a TETRA system channel machine and an LTE system channel machine; the dispatching platform comprises a dispatching client and a dispatching server; and the onboardplatform and the dispatching platform realize communication through an antenna and a base station. An LTE broadband cluster is adaptively combined with a TETRA system, the rail transit communicationsystem can provide not only good voice services, but also broadband transmission and video services, and while the high communication rate is ensured, the service function of the railway private network is expanded, the demand of a passenger for Internet access is met, and the travel satisfaction of the passenger is improved.

The invention discloses a balanced flow distribution model based BRT passenger trip benefit optimization method. The balanced flow allocation model based BRT passenger trip benefit optimization method comprises the steps that 1, a research object and a research range are selected, and relevant basic information is acquired; 2, the passenger demand characteristics are analyzed: a passenger classification concept meeting passenger OD demands is proposed, a distributable passenger flow and a non-distributable passenger flow are divided, and station passenger flow characteristics are analyzed; 3, a distribution principle is determined: the characteristics of different types of passengers are considered to determine the distribution principle; 4, optimization is performed under constraint conditions: passenger riding time cost, delay time cost, the congestion cost and relevant constraint conditions are considered to determine a target function, and a corresponding optimization algorithm is designed to output an optimal plane. The balanced flow distribution model based BRT passenger trip benefit optimization method fully considers the passenger riding time cost, delay waiting time cost and the total congestion cost based on the passenger trip characteristics, determines a passenger flow distribution scheme according to maximized passenger trip benefits and effectively improves the passenger trip satisfaction and the service quality of a BRT system.

The invention discloses an identification-based bus passengers' journey safety management system and method. The system comprises an in-vehicle face identification camera, a vehicle state monitoring device, a passenger identity data receiving and storage device, a data processing module, a data transmitting device and a data receiving terminal. The camera identifies faces when passengers get on, the identified faces are compared with the stored identity data, and the safety state of the vehicle is judged in combination with the states of opening and closing the door of the vehicle and the likeduring driving; and a checkpoint along the way receives the safety state of the vehicle through the data receiving terminal, and determines whether the vehicle can pass quickly according to the state. The system and the method improve the safety inspection efficiency of the passenger bus and give the passengers a better travel experience.

The invention discloses a bus electronic stop board, which comprises a stop board main body, and is characterized in that a display control module, a communication module, a power supply module, a bus stop-arriving information display module and a passenger information display module are arranged on the stop board main body. The bus electronic stop board has the beneficial effects of fully integrating dynamic running information of buses through the bus electronic stop boards distributed at bus stops, issuing current position information and customer status information of the buses in real time, providing better travel information service for passengers, promoting bus information service level, and enhancing travel satisfaction degree of passengers so as to attract more travelers to choose the public transport travelling mode.

The invention belongs to the technical field of smart tourism, and discloses a digital smart tourism control system and method based on big data, and the system comprises a scenic spot information collection module which is used for collecting scenic spot information data; the scenic spot management module is used for managing related data of each scenic spot; the user information management module is used for acquiring and managing user information; the positioning module is used for acquiring current position information of a user; the big data processing module is used for processing the acquired scenic spot information; the retrieval module is used for retrieving travel information; the tourism information recommendation module is used for recommending tourist attraction information; the travel mode selection module is used for selecting a travel mode through a selection program; the travel route planning module is used for planning a travel route; and the sharing feedback module is used for sharing scenic spot and scenic spot related information by users. The tourism service experience of the user is improved and optimized, the travel satisfaction of tourists is improved, andscenic spot management is facilitated.

The invention provides a travel information management method. The method comprises the following steps of generating a user portrait and a scenic spot portrait, calculating a preference score of theuser corresponding to each scenic spot, pushing the scenic spots to the user according to the preference scores, generating a recommended travel route according to the departure time selected by the user, the current positioning information of the user, the position information corresponding to each candidate scenic spot and the corresponding travel time, predicting the current congestion degree of each candidate scenic spot according to the historical congestion degree, and adjusting the recommended tourist route according to the current congestion degree and arrival time of each candidate tourist attraction. According to the method, the individual difference and the current actual situation are more considered, the recommended tourist attractions and the planned tourist routes are more intelligent and humanized, and the actual requirements of users can be better met.

The invention discloses a dispatching sharing system based on the Internet of Vehicles, which comprises an Internet-of-Vehicles cloud platform and a bus dispatching management platform, and is characterized in that the Internet-of-Vehicles cloud platform comprises an equipment management module, a data acquisition module and a data processing module and is used for managing a terminal and a server, acquiring and storing terminal data and providing an online car-hailing calling interface; the bus dispatching management platform comprises a bus transfer management subsystem and an arrival linkage subsystem, and the bus transfer management subsystem is used for acquiring transfer and face information of passengers in a station area and vehicle running video and operation information, framing the video into images, recognizing the passengers through a face recognition technology, and judging whether the passengers are on the vehicle or not; and the arrival linkage subsystem is used for managing the operation information of the online car-hailing, reminding the passenger that the calling of the online car-hailing is about to be started and providing a call cancelling function when the passenger does not get off the car, and providing a calling function when the passenger does not cancel the call. According to the invention, effective connection between the bus and the online hailed bus is established, and the waiting time of passengers during transfer is reduced.

The invention relates to a short-time passenger flow prediction method for a new line station of urban rail transit , which comprises the steps of S1, cleaning and preprocessing station data, passenger flow data and POI data required by a prediction model, and dividing passenger flow into different stages after a new line is opened; S2, on the basis of the POI data cleaned in the S1, clustering point land use functions of the whole website by taking the land use scale around the new line station as coordinates; S2, constructing a new line station historical passenger flow database by combining the existing stations of which the clustering results are consistent with the new line station with the real-time new line passenger flow data obtained in the step S1; S3, based on S2, creating the historical passenger flow database for the new line station; S4, converting the short-time passenger flow volume into a passenger flow time-sharing coefficient based on the passenger flow data obtained in S2; and S5, combining the all-day passenger flow data in the S3 with the passenger flow time-sharing coefficient in the S4 to obtain a short-time passenger flow prediction value result of the new line station. According to the invention, the passenger flow prediction precision is improved, and the service level of urban rail operation is improved.

The invention relates to a comfort-based vehicle optimization method and system. The method comprises the following steps: S1, obtaining road surface data of a to-be-optimized road section and historical vehicle data when a vehicle runs on the to-be-optimized road section; s2, extracting historical vehicle data at different speeds, and obtaining an upper limit value and a lower limit value of objective comfort at different speeds according to the historical vehicle data and the road surface data; s3, acquiring historical subjective comfort data of passengers driving the vehicle at different speeds on the to-be-optimized road section; s4, comparing the historical subjective comfort data at different speeds with the upper and lower limit values of the objective comfort, and obtaining the optimal speed range of the to-be-optimized road section; and S5, acquiring real-time speed information of a vehicle driving on the to-be-optimized road section, and reminding the vehicle speed according to the optimal speed range. Compared with the prior art, the method has the advantages of high accuracy, good optimization effect, high efficiency and the like.

The invention discloses an urban road maintenance strategy optimization method based on main body simulation, which aims at solving the problem of scheme design of road maintenance strategy and determining an optimal scheme of road maintenance strategy. According to the quality requirements and time requirements of road maintenance, the road maintenance scheme is formed. Then, based on the ascertained road maintenance scheme, the agent-based simulation assignment of the traffic flow of the traffic system is carried out, and the travel cost is calculated according to the assignment result, andthe road maintenance scheme is formed by returning, and the optimal scheme of the road maintenance strategy is determined through the mutual iteration in this way. The optimization method provided bythe invention carries out the overall design and optimization of the whole road network maintenance strategy from the perspective of the traffic system, and improves the service level of the road maintenance.

The invention provides a scenic area intelligent guide explanation device and method, and the device comprises a positioning module which is used for positioning the position of a tourist, and obtaining the current position information of the tourist; a touring route formulating module used for formulating a touring route according to the position information of the target scenic spot where the tourist intends to go and the current position information of the tourist; navigating the tourist according to the touring route, and guiding the tourist to go to the target scenic spot; a scenic spot explanation module used for tracking the tourist according to the current position information of the tourist acquired by the tourist positioning module, and performing corresponding scenic spot information explanation on the scenic spot of the current path of the tourist when the tourist visits the scenic spot on the tour route; and an answering module used for acquiring the question information of the tourists about the scenic spots in the scenic areas and explaining the scenic spots submitted by the tourists according to the question information of the tourists. According to the device, personalized touring service can be intelligently provided according to tourist needs, tourism interestingness is increased, and tourism satisfaction is improved.

The invention discloses a local holographic quasi-real-time map road scene distributed data fusion method, which comprises the following steps of S1, establishing a vehicle-road collaborative network system based on detection equipment of vehicles and road networking nodes; s2, after the data network is established, the camera recognizes an acquired image as a corresponding object, and marks the corresponding object on a local map through coordinate conversion according to own positioning information; s3, performing neighborhood node broadcasting on the local map with the object identifier; and S4, the neighborhood node compares the object identified by the neighborhood node and the positioning information with the broadcast information of each node, and if ambiguity is found, an alarm is given to a background management system. The invention provides a method for constructing a local holographic road scene for serving automatic driving, a local holographic dead-corner-free cognitive ability is formed for a vehicle, and the problem that a perception device at a vehicle end cannot see and cannot be recognized clearly is solved, so that traffic accidents are effectively avoided, and the travel satisfaction degree of people is improved.

The invention discloses a historical teaching system and method, relates to the technical field of teaching, and solves the problems of lack of resources, single resource presentation mode, poor spatial intuitiveness, disconnection between teaching contents and scientific frontier and reality needs, and the like in existing historical teaching. The historical teaching system comprises a historicalgeographic information system, a comprehensive cloud computing platform, a teacher mobile terminal, a student mobile terminal, a podcast mobile terminal and a listener mobile terminal, wherein the historical geographic information system can log in the comprehensive cloud computing platform through an account and a password to perform data acquisition and analysis, charting and data update. According to the historical teaching system and method, students can call historical data which have multiple sources, are in different periods, have different presentation modes and can be spatially presented on site in real time through the system, the students can know time and occurrence positions of historical events more clearly, and the students can immersively perceive and learn history throughsurrounding natural environment information and historical relevant image data.

The invention provides a method and a device for predicting security check time. The method comprises the following steps: acquiring security check time of a newly arrived passenger and airport historical data in a preset time period; preprocessing the security check time of the newly arrived passenger and airport historical data to obtain time interval data; and predicting the security check timebased on the time interval data in a pre-constructed prediction model to obtain the security check prediction time at the current moment. In the embodiment of the invention, a prediction model is generated through training based on an LSTM algorithm model and sample time data; the security check prediction time at the current moment can be predicted, thereby achieving the prediction of the security check time, and deploying the security checkpoint based on the predicted security check prediction time at the current moment, thereby improving the travel satisfaction of passengers, and reducingthe manpower cost.

The invention discloses a precise data-driven resource allocation intelligent system. The system comprises a camera, a vehicle-mounted terminal device, a data access server, a data warehouse, a scheduling server and a man-vehicle interaction device, the camera is used for collecting real-time getting-on and getting-off images of passengers between opening and closing of the front door and the rear door of the bus; the vehicle-mounted terminal equipment is used for recording the GPS position of a vehicle and counting passenger flow by recognizing real-time images collected by a camera to obtain the get-on passenger flow number, the get-off passenger flow number and passenger flow OD data of each bus station; the shift arrangement scheduling server is used for intelligent shift arrangement, intelligent scheduling and intelligent shift hanging, and the man-vehicle interaction device is used for broadcasting or displaying shift arrangement and scheduling instructions transmitted by the shift arrangement scheduling server and feeding back real-time shift execution conditions to the shift arrangement scheduling server. The system performs scheduling and real-time scheduling according to the passenger flow rule, shortens the travel time of passengers, and facilitates public travel.

The invention provides a line pushing mode of a network ticket purchasing system. The line pushing mode comprises a service end and an APP client. The service end is provided with a line pushing unit.The line pushing unit comprises a travelling mode, a home returning mode and a money saving mode. The travelling mode supplies leisure and beautiful-scene line to a user. The home returning mode supplies a quickest line to the user. The money saving mode supplies a most economical line to the user. The APP client is used for reading the line pushing unit from the service end after logging-on of the user, selects a corresponding mode and inputs a starting position and an arrival position so that the line pushing unit searches a corresponding line and pushes to the APP client according to a user selection. The line pushing mode recommends a best line to the user according to the user selection, thereby supplying feasible outgoing line information to the user, improving satisfaction degree in outgoing of the user and improving credit and competitive power of the network ticket purchasing system.

The invention relates to a rail transit passenger flow prototype generation method and device, equipment and a medium. The method comprises the steps of obtaining the number of waiting people, the number of getting-on people and the number of getting-off people of a station according to video data; calculating the number of people in the train according to train weighing; correcting the number of passengers getting on and getting off to obtain accurate historical passenger flow data, and further generating a passenger flow prototype; in the actual operation process, according to real-time video data and train weighing data, providing real-time and accurate passenger flow distribution conditions for dispatching, giving platform waiting position suggestions according to the crowding degree of each compartment, comparing real-time data with reference passenger flow prototype data, and providing warning reminding or suggestions in time. Compared with the prior art, the invention has the advantages of ensuring the accuracy of the passenger flow data and the like.

The invention discloses a passenger flow prediction risk early warning method based on multi-source data fusion input. The method comprises the following steps of: acquiring sample data; classifying and preprocessing the sample data; setting corresponding passenger flow early warning thresholds for the various sample data; and comparing real-time passenger flow prediction data with the passenger flow early warning thresholds, and sending out a corresponding early warning instruction according to a comparison result. Under the condition that large passenger flow occurs, balance of passenger flow in a station is analyzed in real time, a station passenger flow imbalance coefficient is calculated, a passenger flow early warning threshold is obtained according to the station passenger flow imbalance coefficient; and the real-time passenger flow prediction data is compared with the passenger flow early warning thresholds, and the corresponding early warning instruction is sent out according to the comparison result; and measures such as passenger flow induction and station flow limiting can be taken in time, and therefore, cost can be reduced, the efficiency can be improved, and passenger travel risks are reduced.