CN-121982882-A - Highway event handling method, device, equipment and storage medium

CN121982882ACN 121982882 ACN121982882 ACN 121982882ACN-121982882-A

Abstract

The application discloses a highway event handling method, a highway event handling device, a highway event handling equipment and a highway event storage medium. The method comprises the steps of responding to traffic events, constructing computable treatment scene data based on event scene information, candidate treatment action sets and constraint conditions, calling a preset middle-micro fusion prediction model based on the computable treatment scene data sets, predicting a traffic evaluation result of a scene under a preset candidate treatment action sequence, and constructing a multi-objective optimization function based on the computable treatment scene data sets and the middle-micro fusion prediction model to perform optimization solution to obtain an optimal treatment action sequence. According to the method, a computable treatment scene data set can be constructed based on field multi-source data, traffic assessment results under different treatment strategies are predicted based on a preset middle-microscopic fusion prediction model, a multi-objective optimization function is established, and traffic state evolution of an event field under different treatment schemes is dynamically predicted to realize accurate optimization of the treatment schemes.

Inventors

GUO SHENGMIN
Song Chongxian
LU ZHIMIN
MA HAO
Han xingguang
LI XIN
WENG ZENGQIANG
XIA SHUDONG

Assignees

北京掌行通信息技术有限公司

Dates

Publication Date: 20260505
Application Date: 20251231

Claims (11)

1. A method of highway event handling, comprising: in response to the occurrence of the traffic event, constructing a computable treatment scene dataset based on the incident scene information, the candidate treatment action set, and the constraints; Based on the computable treatment scene data set, a preset middle-microscopic fusion prediction model is called, and a traffic evaluation result of a scene under a preset candidate treatment action sequence is predicted, wherein the traffic evaluation result comprises a traffic evaluation result of a microscopic state and a traffic evaluation result of a mesoscopic state; and constructing a multi-objective optimization function based on the computable treatment scene data set and the medium-micro fusion prediction model to perform optimization solution so as to obtain an optimal treatment action sequence.
2. The method of claim 1, wherein constructing a computable treatment scene data set based on the incident scene information, the candidate treatment action set, and the constraints comprises: Acquiring a space-time index based on time information, road information and lane information of an event scene; the computable treatment scene data set is generated based on the spatiotemporal index, field physical geometry, candidate treatment action set, constraints, assessment interface.
3. The method of claim 1, wherein the step of determining the position of the substrate comprises, The preset middle-micro fusion prediction model comprises a traffic capacity assessment model in a micro state and a traffic capacity assessment model in a mesoscopic state, Invoking a preset middle-microcosmic fusion prediction model to predict a traffic evaluation result of a scene under a preset candidate treatment action sequence, wherein the method comprises the following steps of: Invoking a traffic capacity evaluation model of a microscopic state to predict a microscopic traffic evaluation result at the current moment of the scene; And calling a traffic capacity evaluation model in the mesoscopic state based on the microscopic traffic evaluation result, and predicting the traffic queue emptying time, the travel time and the re-congestion risk value in the mesoscopic state.
4. The method of claim 1, wherein the invoking a preset mesoscopic fusion prediction model based on the computable treatment scene dataset predicts traffic assessment results for the scene under a preset candidate treatment action sequence, comprising: On the microscopic side, obtaining a geometric side traffic capacity value at the current moment and disturbance intensity at the current moment based on the on-site physical geometric state parameter of the computable treatment scene data set; obtaining an effective headway based on disturbance intensity at the current moment, and obtaining a behavior side traffic capacity value based on the effective headway; Acquiring a minimum value of the behavior side traffic capacity value and the geometric side traffic capacity value, and taking the minimum value as a traffic evaluation result of a microscopic state; On the mesoscopic side, based on the traffic evaluation results of the real-time arrival flow and the microscopic state, a preset queue conservation equation is called, and the traffic evaluation results of the mesoscopic state are predicted according to a preset time step, wherein the traffic evaluation results of the mesoscopic state comprise emptying time, travel time and re-congestion risk values.
5. The method of claim 1, wherein when the preset candidate treatment action is an empty set, the method further comprises: calling a preset on-site traffic capacity evaluation function based on the computable treatment scene data to obtain a passable path, a geometric side traffic capacity baseline value and baseline disturbance intensity; And calling a preset middle-microscopic fusion prediction model based on the computable treatment scene data, the geometric side traffic capacity baseline value and the baseline disturbance intensity, predicting traffic state evolution of an event scene under the dry pre-scene, and generating a baseline traffic evaluation result.
6. The method of claim 1, wherein constructing a multi-objective optimization function for optimal solution based on the computable treatment scene dataset and the mesoscopic fusion prediction model, resulting in an optimal treatment action sequence, comprises: Determining a total delay based on a pass evaluation result under a preset candidate treatment action sequence; carrying out weighted summation based on the total delay, the running risk, the operation cost and the soft constraint violation penalty to obtain a constructed multi-objective optimization function; and carrying out optimization solution by taking the minimum value of the multi-objective optimization function as a target and taking the constraint condition of the computable treatment scene data as a constraint to obtain the optimal treatment action sequence.
7. The method of claim 2, wherein the computable treatment scene data set further comprises relationship data of candidate treatment action sequences to traffic assessment results of microscopic states; The field physical geometrical state comprises blocked entity data and operation area data; the candidate treatment action set is used for representing a set of atomic treatment actions, wherein the atomic treatment actions comprise candidate treatment actions, corresponding effective time and treatment action cost; The constraint conditions are used for representing the constraint conditions to be observed during the operation of the computable treatment scene data, and the constraint conditions comprise hard constraint conditions and soft constraint conditions; The evaluation interface is used for recording key parameters and output result data of the middle-micro fusion prediction model in the evaluation process, wherein the key parameters and the output result data comprise treatment action input data, traffic capacity output data in a micro state and traffic capacity output data in a middle-view state.
8. The method of claim 5, wherein the traffic assessment results include an evacuation time, a travel time, a re-congestion risk value, After deriving the optimal treatment action sequence, the method further comprises: invoking the middle-micro fusion prediction model to predict a second pass evaluation result of an event scene under the application of the optimal action treatment sequence; and obtaining quantitative improvement amplitude based on the difference value of the baseline traffic evaluation result and the second traffic evaluation result.
9. A highway event handling apparatus, comprising: a scene data construction module for constructing a computable treatment scene data set based on the incident scene information, the candidate treatment action set, and the constraint condition in response to the occurrence of the traffic event; The pass evaluation module is used for calling a preset middle-microscopic fusion prediction model based on the computable treatment scene data set to predict pass evaluation results of the scene under a preset candidate treatment action sequence, wherein the pass evaluation results comprise pass evaluation results of microscopic states and pass evaluation results of mesoscopic states; And the optimization solving module is used for constructing a multi-objective optimization function to perform optimization solving based on the computable treatment scene data and the medium-micro fusion prediction model so as to obtain an optimal treatment action sequence.
10. An electronic device comprising a processor and a memory storing program instructions, the processor being configured, when executing the program instructions, to perform the highway event handling method of any of claims 1 to 8.
11. A computer readable medium having stored thereon computer readable instructions for execution by a processor to implement a highway event management method according to any of claims 1 to 8.

Description

Highway event handling method, device, equipment and storage medium Technical Field The present application relates to the field of traffic management technologies, and in particular, to a method, an apparatus, a device, and a storage medium for handling highway events. Background The expressway is used as an important artery of a national traffic network, and the safe and smooth running of the expressway is directly related to economic and social development and life and property safety of people. However, in the operation process, accidents such as traffic accidents, road construction, severe weather and the like occur, and the traffic capacity of the road is seriously affected. In the face of such events, highway management parties need to make scientific and reasonable treatment schemes in a short time, including a series of decisions such as on-site operation organization, traffic flow diversion, speed limit control, diversion induction and the like, so as to reduce the influence of the events on the running of the road network to the greatest extent. However, existing solutions have difficulty in quickly determining appropriate treatment recommendations from multidimensional data, predicting traffic state evolution of an incident scene under different treatment solutions, and lack of quantitative linkage assessment of action-scene impact-network propagation. Disclosure of Invention The embodiment of the application provides a method, a device, equipment and a storage medium for handling expressway events, which at least solve the technical problems that an event handling scheme is difficult to quickly determine and a scheme evaluation result is provided in the related technology. According to an aspect of an embodiment of the present application, there is provided an expressway event handling method including: in response to the occurrence of the traffic event, constructing a computable treatment scene dataset based on the incident scene information, the candidate treatment action set, and the constraints; Based on the computable treatment scene data set, a preset middle-microscopic fusion prediction model is called, and a traffic evaluation result of a scene under a preset candidate treatment action sequence is predicted, wherein the traffic evaluation result comprises a traffic evaluation result of a microscopic state and a traffic evaluation result of a mesoscopic state; and constructing a multi-objective optimization function based on the computable treatment scene data set and the medium-micro fusion prediction model to perform optimization solution so as to obtain an optimal treatment action sequence. According to another aspect of the embodiment of the present application, there is also provided an expressway event handling apparatus including: a scene data construction module for constructing a computable treatment scene data set based on the incident scene information, the candidate treatment action set, and the constraint condition in response to the occurrence of the traffic event; The pass evaluation module is used for calling a preset middle-microscopic fusion prediction model based on the computable treatment scene data set to predict pass evaluation results of the scene under a preset candidate treatment action sequence, wherein the pass evaluation results comprise pass evaluation results of microscopic states and pass evaluation results of mesoscopic states; And the optimization solving module is used for constructing a multi-objective optimization function to perform optimization solving based on the computable treatment scene data and the medium-micro fusion prediction model so as to obtain an optimal treatment action sequence. According to still another aspect of the embodiments of the present application, there is also provided an electronic device including a memory in which a computer program is stored, and a processor configured to execute the above-described highway event handling method by the above-described computer program. According to a further aspect of embodiments of the present application, there is also provided a computer readable storage medium having a computer program stored therein, wherein the computer program is arranged to perform the above-described highway event handling method when run. The technical scheme provided by the embodiment of the application can have the following beneficial effects: The application discloses a highway event handling method, which comprises the steps of constructing a computable handling scene data set based on event scene information, a candidate handling action set and constraint conditions, calling a preset middle-micro fusion prediction model, predicting a traffic evaluation result of an event scene under a candidate handling action sequence, constructing a multi-objective optimization function based on the computable handling scene data and the traffic evaluation result predicted by the middle-micro fusion prediction model,