CN-121999612-A - Intelligent high-speed comprehensive control method and control platform based on dynamic division of intelligent bodies

CN121999612ACN 121999612 ACN121999612 ACN 121999612ACN-121999612-A

Abstract

The invention discloses an intelligent high-speed comprehensive control method and a control platform based on intelligent dynamic division, and relates to the technical field of high-speed control. The method comprises the steps of S1, obtaining data, S2, dividing an agent, S3, generating a strategy, S4, matching the strategy, and S5, executing an instruction. The invention solves the problems of information island, response lag, single control means and the like existing in the existing high-speed control, and remarkably improves the operation efficiency, the safety level and the service capability of the expressway.

Inventors

QIU JIE
DENG YUXUAN
DENG XIN
MAO HAIJIAO
TIAN ZHOU
ZHANG JINSONG
CHENG HAORAN
HE XINYING
MA JINGBO
LIU HUIYANG
ZHU CONGRUI
GAO QIANG
WANG LIJUN
ZHAO YUYU
DU KAI
CHEN DAN
SONG JINGNI
JIN YINLI
DU XIAOCUI
LI YING
GUO JIARONG

Assignees

长安大学

Dates

Publication Date: 20260508
Application Date: 20260129

Claims (8)

1. An intelligent high-speed comprehensive control method based on intelligent dynamic division is characterized by comprising the following steps: S1, acquiring data, namely acquiring traffic flow data, vehicle track data, video image data, weather environment data and infrastructure state data in real time through various sensing devices distributed along the expressway, and performing space-time alignment and fusion processing on the data to obtain holographic traffic data; S2, dividing the intelligent agents, namely responding to traffic abnormal events, taking event points as the center, dividing a plurality of control areas according to real-time traffic flow influence, wherein each control area is an intelligent agent, and defining a local management and control utility function for each intelligent agent; S3, strategy generation, namely constructing a management and control model containing a plurality of agents by taking the maximization of the overall traffic utility as a target, solving the management and control model by adopting a weighted Charpy value algorithm, and calculating a fair weight capable of reflecting the contribution degree of each agent so as to generate a collaborative management and control strategy; S4, strategy matching, namely matching or generating an optimal comprehensive control scheme from a preset control strategy library; S5, the instruction execution is carried out, namely based on the generated optimal comprehensive control scheme, the optimal comprehensive control scheme is decomposed into specific control instructions aiming at different road side execution units, and the cooperative control is realized through a vehicle-road cooperative communication network.
2. The intelligent high-speed integrated control method based on intelligent agent dynamic division according to claim 1, wherein, The sensing equipment comprises a traffic flow detector, a high-definition camera, a meteorological sensor and an infrastructure state monitoring sensor; the time-space alignment and fusion processing of the data comprises the steps of carrying out calibration alignment on various collected data based on time stamps and geographic position information, removing abnormal data and supplementing missing data by adopting a data fusion algorithm, and forming standardized holographic traffic data.
3. The intelligent high-speed integrated control method based on intelligent agent dynamic division according to claim 1, wherein, S2, responding to a traffic abnormal event, and dividing a plurality of control areas by taking an event point as a center according to the real-time traffic flow influence, wherein each control area is an agent, and the specific content of a local management and control utility function is defined for each agent as follows: based on holographic traffic data, identifying the type of the traffic abnormal event in real time by a threshold value judging method, combining geographic position information, positioning an event point of the event, and simultaneously recording event triggering time and influencing an initial range; Determining the boundaries of a plurality of control areas by using an influence range progressive dividing method by taking an event point as a center; Each divided control area is an independent intelligent body, a unique identification code is allocated to each intelligent body, a binding relation between the intelligent body and sensing equipment is established, the intelligent body is ensured to acquire holographic traffic data in the jurisdiction in real time, and management and control instructions can be received and executed.
4. The intelligent high-speed integrated control method based on intelligent agent dynamic division according to claim 3, wherein, A local regulatory utility function is defined for each agent, expressed as follows: Wherein, the For locally controlling the utility function, The vehicle passing efficiency index of the control area i is quantized into a weighted average value of average vehicle speed lifting rate, traffic volume increasing rate and queuing length shortening rate in the front and rear areas of management and control; The method comprises the steps that the safety risk control index of a control area i is quantized into comprehensive values for controlling the reduction rate of the occurrence rate of traffic accidents, the reduction rate of the illegal behaviors of vehicles and the elimination rate of dangerous scenes in front and rear areas; The congestion relief effect index of the control area i is quantized into the product of the congestion duration shortening proportion and the congestion range narrowing proportion in the controlled area; for the control implementation cost index of the control area i, the cost index is quantized into the sum of the influence cost and the human cooperation cost of the energy consumption of the road side execution unit and the implementation of the control strategy on the peripheral traffic; 、、、 is a non-negative weight coefficient, meets the following requirements 。
5. The intelligent high-speed integrated control method based on intelligent agent dynamic division according to claim 1, wherein, And S3, solving a management and control model by adopting a weighted Charpy value algorithm, wherein the concrete content of the fairness weight capable of reflecting the contribution degree of each agent is calculated as follows: determining a combined collaboration scene and a corresponding overall control utility of each intelligent agent; Calculating marginal contribution of each agent in all combined scenes based on a Charpy value formula; And (5) combining the management and control capability weights of the intelligent agents to carry out weighted adjustment on the edge contribution to obtain the fairness weight of each intelligent agent.
6. The intelligent high-speed integrated control method based on intelligent agent dynamic division according to claim 1, wherein, S4, a preset management and control strategy library comprises a congestion dredging strategy, an accident emergency treatment strategy, a bad weather management and control strategy and an infrastructure fault coping strategy; The process of matching or generating the optimal comprehensive control scheme comprises the steps of screening an adaptive scheme from a control strategy library through a similarity matching algorithm based on holographic traffic data and a collaborative control strategy, and generating a customized control scheme in real time based on a control target if the adaptive scheme does not exist.
7. The intelligent high-speed integrated control method based on intelligent agent dynamic division according to claim 1, wherein, The road side execution unit in S5 comprises a variable information sign, an intelligent traffic signal controller, road side broadcasting equipment and lane management and control equipment; The vehicle-road cooperative communication network adopts a vehicle networking V2X communication protocol to realize the real-time transmission of control instructions.
8. An intelligent high-speed comprehensive management and control platform based on intelligent dynamic partitioning is characterized by comprising a data acquisition module, an intelligent partitioning module, a strategy generation module, a strategy matching module and an instruction execution module which are connected in sequence, wherein the intelligent high-speed comprehensive management and control method based on intelligent dynamic partitioning is applied to any one of claims 1-7; The data acquisition module is used for acquiring traffic flow data, vehicle track data, video image data, meteorological environment data and infrastructure state data in real time through various sensing devices distributed along the expressway, and performing space-time alignment and fusion processing on the data to obtain holographic traffic data; The intelligent agent dividing module is used for responding to traffic abnormal events, taking event points as centers, dividing a plurality of control areas according to real-time traffic flow influence, wherein each control area is an intelligent agent, and defining a local management and control utility function for each intelligent agent; The strategy generation module is used for constructing a management and control model containing a plurality of agents with the aim of maximizing the overall traffic utility, solving the management and control model by adopting a weighted Charpy value algorithm, and calculating a fair weight capable of reflecting the contribution degree of each agent so as to generate a collaborative management and control strategy; The strategy matching module is used for matching or generating an optimal comprehensive control scheme from a preset control strategy library; The instruction execution module is used for decomposing the optimal comprehensive control scheme into specific control instructions aiming at different road side execution units, and realizing cooperative control through a vehicle-road cooperative communication network.

Description

Intelligent high-speed comprehensive control method and control platform based on dynamic division of intelligent bodies Technical Field The invention relates to the technical field of high-speed control, in particular to an intelligent high-speed comprehensive control method and a control platform based on intelligent dynamic division. Background Along with the continuous expansion of the highway network scale of China, the rapid increase of the quantity of motor vehicles kept and the increasing of the public travel demands, the traffic pressure and the control difficulty of the highway are continuously increased. As a core hub of a transportation system, the safe and efficient operation of the expressway directly relates to regional economic development and public travel experience. However, the conventional highway management and control system gradually exposes a plurality of technical bottlenecks which are difficult to break through in the long-term application process, and the requirements of intelligent traffic development in the new era cannot be met. The conventional control system has the common information island problem, the conventional control mode has the obvious response lag defect, and the conventional control means has the single characteristic. In the face of traffic accidents, bad weather, infrastructure faults and other different types of traffic abnormal events, the existing management and control mostly adopts immobilization means such as speed limiting, road sealing, dredging and the like, and lacks a differential and personalized management and control scheme, so that the management and control effect is poor, and even secondary traffic accidents can be possibly caused. Therefore, an intelligent high-speed comprehensive control method and a control platform based on intelligent dynamic division are provided to solve the problems of the prior art, which are needed to be solved by the technicians in the field. Disclosure of Invention In view of the above, the invention provides an intelligent high-speed comprehensive control method and a control platform based on intelligent dynamic division, which solve the problems of single information island, response lag and control means and the like in the existing high-speed control and remarkably improve the operation efficiency, safety level and service capability of the expressway. In order to achieve the above object, the present invention provides the following technical solutions: An intelligent high-speed comprehensive control method based on intelligent dynamic division comprises the following steps: S1, acquiring data, namely acquiring traffic flow data, vehicle track data, video image data, weather environment data and infrastructure state data in real time through various sensing devices distributed along the expressway, and performing space-time alignment and fusion processing on the data to obtain holographic traffic data; S2, dividing the intelligent agents, namely responding to traffic abnormal events, taking event points as the center, dividing a plurality of control areas according to real-time traffic flow influence, wherein each control area is an intelligent agent, and defining a local management and control utility function for each intelligent agent; S3, strategy generation, namely constructing a management and control model containing a plurality of agents by taking the maximization of the overall traffic utility as a target, solving the management and control model by adopting a weighted Charpy value algorithm, and calculating a fair weight capable of reflecting the contribution degree of each agent so as to generate a collaborative management and control strategy; S4, strategy matching, namely matching or generating an optimal comprehensive control scheme from a preset control strategy library; S5, the instruction execution is carried out, namely based on the generated optimal comprehensive control scheme, the optimal comprehensive control scheme is decomposed into specific control instructions aiming at different road side execution units, and the cooperative control is realized through a vehicle-road cooperative communication network. Optionally, the multiple sensing devices in S1 include a traffic flow detector, a high-definition camera, a weather sensor, and an infrastructure state monitoring sensor; the time-space alignment and fusion processing of the data comprises the steps of carrying out calibration alignment on various collected data based on time stamps and geographic position information, removing abnormal data and supplementing missing data by adopting a data fusion algorithm, and forming standardized holographic traffic data. Optionally, in S2, in response to a traffic anomaly event, a plurality of control areas are divided according to real-time traffic flow effects with an event point as a center, each control area is an agent, and specific contents of a local management utility function are defined fo