CN-121982897-A - Smart city traffic operation and maintenance management system and method

CN121982897ACN 121982897 ACN121982897 ACN 121982897ACN-121982897-A

Abstract

The invention provides a smart city traffic operation and maintenance management system and method, which are used for analyzing and calculating the congestion degree of a current road based on real-time acquisition of various road condition information (including the traffic flow, the speed, the occupancy monitoring data, the number of lanes, the traffic signal lamp state, variable traffic marks and the like) of the current road, accurately acquiring the congestion degree of the current road, judging the number of lanes actually required by the road condition by combining the congestion degree and the number of lanes of the current road, finally determining whether the lane data of the variable traffic marks meet the lane data actually required by the road condition or not, generating a traffic mark modifying instruction according to the judging result, and adjusting the traffic marks according to the traffic mark modifying instruction. Not only realizing the real-time perception and accurate analysis of traffic infrastructure state and traffic flow change, but also realizing the supply and demand balance of lane resources, improving the road communication efficiency and relieving the congestion.

Inventors

WU GUISHENG
CHAI JIONG
SUN JUNYING
ZHOU ZHIPING

Assignees

广东灏柏实业有限公司

Dates

Publication Date: 20260505
Application Date: 20260304

Claims (10)

1. A smart city traffic operation and maintenance management system, comprising: The real-time acquisition module is used for acquiring the traffic flow, the average speed, the occupancy monitoring data, the number of lanes, the traffic signal lamp state and the variable traffic marking of the current road in a preset time period in real time; The data analysis module is used for inputting the traffic flow and the average vehicle speed into a preset lane number prediction model, and carrying out saturation analysis calculation on the traffic flow and the average vehicle speed through the preset lane number prediction model so as to output the actual required lane number; the lane data judging module is used for judging whether the data of the actual required lane is consistent with the lane data corresponding to the variable traffic marking of the current road; And the traffic marking execution module is used for generating a traffic marking modifying instruction when the data of the actually required lane is inconsistent with the lane data corresponding to the variable traffic marking of the current road, and adjusting the traffic marking according to the traffic marking modifying instruction.
2. The smart city traffic operation and maintenance system of claim 1, wherein the preset number of lanes prediction model comprises a preset number of straight lanes prediction sub-model, a preset number of left-turn lanes prediction sub-model, and a preset number of right-turn lanes prediction sub-model, and the data analysis module comprises a straight lanes data analysis unit, a left-turn lane data analysis unit, and a right-turn lane data analysis unit: The straight-line lane data analysis unit is used for inputting the straight-line traffic flow and the average vehicle speed into a preset straight-line lane quantity prediction sub-model, and analyzing and calculating the straight-line traffic flow and the average vehicle speed through the preset straight-line lane quantity prediction sub-model so as to output the actual required straight-line lane quantity; the left-turning lane data analysis unit is used for inputting the left-turning lane traffic flow and the average vehicle speed into the preset left-turning lane number prediction sub-model, and carrying out left-turning lane saturation analysis and calculation on the left-turning lane traffic flow and the average vehicle speed through the preset left-turning lane number prediction sub-model so as to output the actually required left-turning lane number; The right-turn lane data analysis unit is used for inputting the right-turn route traffic flow and the average vehicle speed into the preset right-turn lane quantity prediction sub-model, and carrying out right-turn lane saturation analysis and calculation on the right-turn route traffic flow and the average vehicle speed through the preset right-turn lane quantity prediction sub-model so as to output the actually required right-turn lane quantity.
3. The smart city traffic operation and maintenance management system of claim 1, further comprising a signal light duration calculation module and a signal light control module: The signal lamp duration judging module is used for judging whether the traffic flow is in a preset traffic flow range or not; the signal lamp control module is used for adjusting the signal lamp duration when the signal lamp duration judging module determines that the traffic flow is not in the preset traffic flow range, and controlling the signal lamp state according to the adjusted signal lamp duration.
4. The smart city traffic operation and maintenance system of claim 1, further comprising a vehicle violation identification module: The vehicle violation identification module is used for identifying whether the running vehicle moves according to the indication of the variable traffic marking, determining the violation vehicle when the running vehicle is identified not to move according to the indication of the variable traffic marking, and collecting the vehicle information of the violation vehicle.
5. The smart city traffic operation and maintenance management system of claim 1, further comprising a data preprocessing module: The data preprocessing module is used for carrying out normalization processing on the traffic flow, the average speed, the occupancy monitoring data, the lane number, the traffic signal lamp state and the variable traffic marking to obtain normalized traffic flow, average speed, occupancy monitoring data, lane number, traffic signal lamp state and variable traffic marking.
6. A smart city traffic operation and maintenance management system as claimed in any one of claims 1-3, further comprising a time judgment module and a memory module: The time judging module is used for collecting the current time and judging whether the current time is in a preset memory time range or not; The memory module is used for calling the traffic marking modifying instruction corresponding to the current time when the time judging module determines that the current time is in the preset memory time range; The traffic marking execution module is also used for adjusting the traffic marking according to the traffic marking modifying instruction corresponding to the current time.
7. The smart city traffic operation and maintenance management system of claim 2, wherein the preset lane number prediction model is: Wherein the method comprises the steps of The number of the predicted lanes is the number of lanes in the direction of the t moment i; The congestion degree of the lane in the direction of the moment i is t; is a lane saturation factor; Lane saturation for the lane in direction i at time t; Is a speed reduction factor of the lane in the direction of the t moment i; Is the number of lanes.
8. A smart city traffic operation and maintenance management method, comprising: Collecting the traffic flow, average speed, occupancy monitoring data, the number of lanes, the traffic signal lamp state and variable traffic marking of the current road in a preset time period in real time; Inputting the traffic flow and the average vehicle speed into a preset lane number prediction model, and analyzing and calculating the saturation of the traffic flow and the average vehicle speed through the preset lane number prediction model so as to output the actual required lane number; judging whether the data of the actual required lane is consistent with the lane data corresponding to the variable traffic marking of the current road; And when the data of the actually required lane is inconsistent with the lane data corresponding to the variable traffic marking of the current road, generating a traffic marking modifying instruction, and adjusting the traffic marking according to the traffic marking modifying instruction.
9. An electronic device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor is configured to implement the smart city traffic operation and maintenance management system of any of claims 1 to 7 when the computer program is run.
10. A computer readable storage medium having stored thereon a computer program, which when executed by a processor implements the smart city traffic operation and maintenance management system of any of claims 1 to 7.

Description

Smart city traffic operation and maintenance management system and method Technical Field The invention relates to the technical field of intelligent cities and intelligent operation and maintenance, in particular to a system and a method for managing intelligent city traffic operation and maintenance. Background The smart city is a new generation information technology support, and the core of the smart city is that urban informatization advanced state under the next generation innovation environment of a knowledge agency integrates urban systems and services through technologies such as Internet of things, big data, artificial intelligence, cloud computing, 5G and the like, so that the resource application efficiency is improved, urban management and blessing are optimized, and the living quality of people is improved. The main scenes of smart city application are many, such as smart traffic, smart medical treatment, smart security, smart environmental protection, smart government affairs, smart energy sources and the like. However, with the continuous expansion of cities and the continuous increase of population, the contradiction of cities in the fields of social production, public service, living environment and the like is also increasing, and the construction of smart cities also puts higher demands on informatization development. Only the technology such as artificial intelligence, everything interconnection, big data is applied to each link of informatization construction, operation and management of smart city, can optimize the city management system, promotes the management level of smart city. In the prior art, the traffic operation and maintenance is dependent on manual inspection and fixed threshold monitoring, so that real-time perception and accurate analysis of traffic infrastructure state and traffic flow change are difficult to realize, the operation and maintenance efficiency is low, and the traffic problem of traffic jam is difficult to solve rapidly. Therefore, there is a need for a smart city traffic operation and maintenance management system and method that enables real-time sensing and accurate analysis of traffic infrastructure status and traffic flow changes through real-time acquisition of multi-source data and depth fusion of AI technology. Disclosure of Invention The basic disclosure provides a smart city traffic operation and maintenance management system and method, which uses quantitative analysis as a core and dynamically adjusts traffic marking as a means based on multi-source real-time data. Not only realizing the real-time perception and accurate analysis of traffic infrastructure state and traffic flow change, but also realizing the supply and demand balance of lane resources, improving the road communication efficiency and relieving the congestion. In a first aspect, the present disclosure provides a traffic marking execution module comprising: The real-time acquisition module is used for acquiring the traffic flow, the average speed, the occupancy monitoring data, the number of lanes, the traffic signal lamp state and the variable traffic marking of the current road in a preset time period in real time; The data analysis module is used for inputting the traffic flow and the average vehicle speed into a preset lane number prediction model, and carrying out saturation analysis calculation on the traffic flow and the average vehicle speed through the preset lane number prediction model so as to output the actual required lane number; the lane data judging module is used for judging whether the data of the actual required lane is consistent with the lane data corresponding to the variable traffic marking of the current road; And the traffic marking execution module is used for generating a traffic marking modifying instruction when the data of the actually required lane is inconsistent with the lane data corresponding to the variable traffic marking of the current road, and adjusting the traffic marking according to the traffic marking modifying instruction. In some embodiments, the preset lane number prediction model comprises a preset straight lane number prediction sub-model, a preset left-turn lane number prediction sub-model and a preset right-turn lane number prediction sub-model, and the data analysis module comprises a straight lane data analysis unit, a left-turn lane data analysis unit and a right-turn lane data analysis unit: The straight-line lane data analysis unit is used for inputting the straight-line traffic flow and the average vehicle speed into a preset straight-line lane quantity prediction sub-model, and analyzing and calculating the straight-line traffic flow and the average vehicle speed through the preset straight-line lane quantity prediction sub-model so as to output the actual required straight-line lane quantity; the left-turning lane data analysis unit is used for inputting the left-turning lane traffic flow and the average vehicle speed int