The present disclosure relates to a microservice data processing method, an apparatus, an electronic device and a computer-readable medium. The method comprises the following steps: determining a micro service node to be processed; acquiring a query processing request for the first data in the micro-service node; determining index information in a designated database according to a target micro service node in the query processing request; reading second data in the designated database according to the index information; and integrating the second data in response to the query request. The invention relates to a microservice data processing method, a device, an electronic device and a computer-readable medium, which can accelerate the data response speed of a microservice system and improve the performance of data aggregation of the microservice system.

Microservice data processing method, apparatus, electronic device, and computer-readable medium

The invention provides a traffic signal optimization system based on multi-source traffic big data, and an operation method. Unified processing on multi-source massive data optimization can be carriedout, a real-time, precise and reliable traffic signal control scheme is generated; and thus, the data analysis real-time property and the comprehensive utilization rate are increased. The traffic signal optimization system based on the multi-source traffic big data comprises a signal machine system, a network communication device and a central system platform; the signal machine system and the central system platform are in communication connection through the network communication device; the signal machine system comprises a control unit and a lamp driving unit; the control unit comprises acore unit and an execution unit; the central system platform comprises a big data processing module; and the big data processing module receives traffic data acquired by a road surface detector, traffic data of an internet platform and traffic data transmitted from a navigation system, performs fusion analysis on the data, forms a regional signal timing optimization scheme, and sends the regionalsignal timing optimization scheme to the signal machine system.

Traffic signal optimization system based on multi-source traffic big data, and operation method

The invention provides an adaptive signal control method based on adjacent cyclic flow difference value prediction. Phases and a phase sequence are arranged and yellow light time and full-red light time at the phase tail are calculated; passing vehicle flows at all lane groups within one signal cycle within different phases are detected by using the cycle as a unit, a flow difference value of every two adjacent cycles is calculated based on the vehicle flows of the previous four cycles to obtain three actual vehicle flow difference values, a vehicle flow difference prediction value within a next cycle is calculated based on a changing trend to obtain a flow prediction value of the next cycle; if the reminder of dividing the cycle with 3 is 1, a signal cycle is calculated by combining the cyclic flow prediction value based on a Webster optimum cycle formula and green light time is allocated; and when the reminder of dividing the cycle i with 3 is 0 or 2, green light delay time of all phases is calculated and green light time and the cycle time of all phases are obtained according to delay vehicle numbers, detected by a video detector, of all phases and the prediction value of the flow difference value of the next cycle.

Adaptive signal control method based on adjacent cyclic flow difference value prediction

The invention discloses a signal lamp timing method and device, electronic equipment and a storage medium, and relates to the field of intelligent transportation. According to the specific implementation scheme, the method comprises the following steps: determining the optimal passing duration of a signal lamp corresponding to each passing direction according to the flow of each passing directionin a target intersection; determining a value range corresponding to each variable in a calibration function corresponding to the target intersection according to the constraint condition corresponding to each passing direction in the target intersection, the calibration function comprising the optimal passing duration corresponding to each passing direction and each variable corresponding to thefinal passing duration of each passing direction; and according to the value range corresponding to each variable, calculating the final passing duration of each passing direction when the calibrationfunction meets a preset condition. Therefore, automatic timing based on the constraint condition can be realized, the timing speed and efficiency are improved, and the technical problems of long timeconsumption, low speed and unguaranteed effect in the timing process caused by manual timing of the signal lamp according to the constraint condition of the intersection in the prior art are solved.

Signal lamp timing method and device, electronic equipment and storage medium

The invention provides a city vehicle statistics method and device, and a computer-readable medium, belonging to the technical field. The method comprises: an updating step of updating a vehicle filein a vehicle database according to vehicle information obtained in real time by a monitoring device; a vehicle statistics step of classifying vehicles according to vehicle registration places or vehicle types based on vehicle files in vehicle database, and separately counting the number of vehicles of each class in the city. The invention establishes a vehicle file based on the vehicle informationprovided by the city monitoring device, adds the vehicle file into the vehicle database, classifies and counts the vehicles in the vehicle database, and obtains more stereoscopic data information. The method can obtain the actual holding quantity of the city vehicles in real time and quickly.

City vehicle statistic method and device, and computer-readable medium

The invention discloses a regional vehicle statistical analysis management system. By means of distributed data storage, big data storage, information integration and information sharing are achieved;by means of distributed file management and the query indexing technology, the problem that a traditional database and an FTP framework cannot easily support storage and management current situationsof massive motor vehicle passing trajectory information is solved, so that it is easier to store and retrieve a large quantity of video and picture files; advantages of big data are utilized, reasonable traffic and mathematic models are established through an off-line data mining module, assistance is provided for simulation and analysis of traffic current situations and road planning and management decisions, boundaries between a plurality of departments and a plurality of systems are broken through, and an information fusion and information sharing platform is achieved, so that existing traffic facilities achieve larger social benefits, the science and modernization level of urban traffic management is further improved, the urban road traffic environment is further improved, and the requirement of traffic management in a new period is met.

Regional vehicle statistical analysis management system

The invention discloses a signal lamp timing method based on comprehensive road condition data. By a TRRL method, signal lamp timing of all intersections is optimized, signal machine timing time dividing reasonability, the street lamp time ratio of each phase and signal cycle reasonability are analyzed, whether road passing quality is improved or not after signal lamp timing optimization is analyzed according to road congestion data provided by a traffic flow information acquisition platform and bayonet data acquired by the platform, actual feedback is provided for signal lamp timing optimization, so that signal lamp timing schemes of the intersections are flexibly adjusted, adaptivity of the signal lamp timing schemes is improved, and vehicle passage order and smoothness of the intersections are guaranteed.

Signal lamp timing method based on comprehensive road condition data

The invention discloses a regional traffic intelligent management system based on big data. Storage of big data and integration and sharing of information are realized through a distributed database plus a relational database, data concentration and real-time processing of data of passing vehicles are realized through a distributed message queue and real-time stream computing technology, and the existing problem that a conventional relational database plus FTP architecture cannot support storage and management of passing track information of massive motor vehicles is solved through distributedfile management and inquiry index technology; the advantages of the big data are utilized to break through limitation among multiple departments and multiple systems, a platform supportive of information integration and information sharing is realized, existing traffic facilities are enabled to bring about higher social benefit, scientific and modern levels of urban traffic management are furtherelevated, urban road traffic environment is further improved, and needs on traffic management in the new period are met.

Regional traffic intelligent management system based on big data

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Regional vehicle statistical analysis management system

Signal lamp timing method based on comprehensive road condition data

Regional traffic intelligent management system based on big data