CN-121999606-A - Traffic guidance method and electronic equipment

CN121999606ACN 121999606 ACN121999606 ACN 121999606ACN-121999606-A

Abstract

The invention relates to the technical field of traffic and discloses a traffic guidance method and electronic equipment, wherein the method comprises the steps of predicting a destination road section of a vehicle based on current travel information and target travel information of the vehicle to obtain a predicted destination road section; the method comprises the steps of obtaining a predicted travel path by predicting the travel path of a vehicle to a predicted destination road section based on current travel information and third travel information of the vehicle from a road network anchor point to a historical destination road section in each time period type, and generating an induced route based on the predicted destination road section if the predicted travel path is an abnormal road section so as to guide the vehicle to avoid the abnormal road section. The invention can solve the problem of poor traffic induction effect.

Inventors

CHEN KAIYING
YANG YUNLIN
WANG YIMIN
CHENG YU
ZHANG TENG
SHA ZHIREN
SUN WEIWEI

Assignees

佳都科技集团股份有限公司
广州佳都方纬交通科技有限公司

Dates

Publication Date: 20260508
Application Date: 20251224

Claims (10)

1. A method of traffic induction, the method comprising: the method comprises the steps of acquiring an abnormal road section in a traffic road network, current travel information of an on-road vehicle and historical travel information of the on-road vehicle, wherein the current travel information comprises a current time period type and a traveled path, the historical travel information comprises first travel information from an anchor point section between adjacent road network anchor points in the traffic road network to a historical destination road section under each time period type, second travel information from a historical starting road section to the historical destination road section under each time period type of the on-road vehicle, and third travel information from the road network anchor point to the historical destination road section under each time period type of the on-road vehicle; Predicting a destination road section of the on-road vehicle based on the current travel information and target travel information to obtain a predicted destination road section, wherein the target travel information is the first travel information or the second travel information; Predicting a travel path of the on-road vehicle to the prediction destination road section based on the current travel information and the third travel information to obtain a predicted travel path; And if the predicted driving path approaches the abnormal road section, generating a guidance route based on the predicted destination road section, and sending the guidance route to the on-road vehicle, wherein the guidance route is used for guiding the on-road vehicle to avoid the abnormal road section in the process of going to the predicted destination road section.
2. The traffic guidance method of claim 1, wherein the first travel information includes a number of times the on-road vehicle passes through an ith anchor point segment and a number of times the on-road vehicle passes through an ith anchor point segment to a d-th history destination segment under each time period type; The second travel information comprises the number of times that the on-road vehicle starts from the g-th historical starting road section under each time period type and the number of times that the on-road vehicle starts from the g-th historical starting road section to the d-th historical destination road section under each time period type; The third travel information comprises the times from the ith road network anchor point to the (d) th historical destination road section of the on-road vehicle under each time period type and the times from the (i+1) th road network anchor point to the (d) th historical destination road section of the on-road vehicle after passing through the ith road network anchor point under each time period type.
3. The traffic guidance method of claim 1, wherein obtaining historical trip information of the on-road vehicle comprises: acquiring license plate identification data of each road network gate in the traffic road network and gate information of the road network gate, wherein the license plate identification data comprises license plate information and license plate identification time respectively identified by each road network gate; Carrying out statistical analysis based on the license plate identification data and the gate information to obtain a single historical trip record of each license plate information corresponding to the historical vehicle, wherein the single historical trip record comprises a time period type of current historical trip, a historical starting road section, a historical destination road section and a historical driving path; Time sequencing is carried out on the historical initial road sections, the historical destination road sections and the road network anchor points of the paths of the historical driving paths in the same single historical trip record, so that anchor point sequences of single trips of each historical vehicle under different time period types are obtained; carrying out statistical analysis on anchor point sequences of each historical vehicle in single trip under different time period types to obtain historical trip information of each historical vehicle; and searching the historical travel information of the on-road vehicle in the historical travel information of all the historical vehicles, wherein the historical vehicles comprise the on-road vehicle.
4. The traffic guidance method according to claim 2, wherein predicting the destination link of the on-road vehicle based on the current travel information and the target travel information to obtain a predicted destination link comprises: if any road network anchor point of the path route already traveled is determined, determining a first anchor point section of the path route already traveled; Searching first times of the passing vehicles passing through each first anchor point section under the current time period type in the first travel information, and second times of the passing vehicles passing through each first anchor point section to each historical destination section under the current time period type; Determining a first prediction probability of the on-road vehicle to each of the historical destination segments based on the first number of times and the second number of times corresponding to each of the first anchor segments; the predicted destination road segment is determined among all the historical destination road segments based on the first predicted probability.
5. The traffic guidance method of claim 4, wherein the determining a first predicted probability of the on-road vehicle going to each of the historical destination segments based on the first number of times and the second number of times corresponding to each of the first anchor segments comprises: acquiring the weight of each first anchor point section, wherein the weight of the first anchor point section is determined based on the ratio of the mileage of the first anchor point section to the total mileage of all the first anchor point sections; for each first anchor point section, obtaining initial probability that the on-road vehicle corresponding to the first anchor point section goes to each historical destination section based on a ratio of the second times corresponding to the first anchor point section to the first times; and carrying out weighted summation on the initial probabilities corresponding to the first anchor point sections based on the weights of the first anchor point sections to obtain first prediction probabilities of the on-road vehicles going to the historical destination sections.
6. The traffic guidance method according to claim 2, wherein predicting the destination link of the on-road vehicle based on the current travel information and the first travel information to obtain a predicted destination link comprises: If the travelled path does not pass through any road network anchor point, determining a current starting road section of the on-road vehicle in the travelled path; Searching third times of the on-road vehicle from the current starting road section under the current time period type in the second travel information, and fourth times of the on-road vehicle from the current starting road section to each historical destination road section under the current time period type; Determining a second predicted probability of the on-road vehicle going to each of the historical destination segments based on the third number of times and the fourth number of times; the predicted destination road segment is determined among all the historical destination road segments based on the second predicted probability.
7. The traffic guidance method of claim 6, wherein the determining a second predicted probability of the on-road vehicle going to each of the historical destination segments based on the third number of times and the fourth number of times comprises: And for each historical destination road segment, obtaining a second prediction probability of the on-road vehicle going to the historical destination road segment based on a ratio of a fourth number of times corresponding to the historical destination road segment to the third number of times.
8. The traffic guidance method according to claim 2, wherein predicting the travel path of the on-road vehicle to the predicted destination link based on the current travel information and the third travel information, to obtain a predicted travel path, comprises: taking a road network anchor point of the last path in the driven path as a target road network anchor point; Predicting a next road network anchor point of the on-road vehicle from the target road network anchor point to the prediction destination road section based on the current time period type and the third travel information to obtain the next target road network anchor point; and if the next target road network anchor point is consistent with the predicted destination road section, generating the predicted driving path based on all the obtained target road network anchor points.
9. The traffic guidance method according to claim 8, wherein predicting a next road network anchor point, from which the on-road vehicle goes from the target road network anchor point to the predicted destination road segment, based on the current period type and the third travel information, to obtain the next target road network anchor point comprises: Taking the next road network anchor point of the target road network anchor point in the traffic road network as a candidate road network anchor point; Searching fifth times from the target road network anchor point to the predicted destination road section of the on-road vehicle under the current time period type in the third travel information, and sixth times from the candidate road network anchor points to the predicted destination road section of the on-road vehicle after the on-road vehicle approaches the target road network anchor point under the current time period type; for each candidate road network anchor point, obtaining a third prediction probability of the candidate road network anchor point based on the ratio of the sixth times to the fifth times of the candidate road network anchor point; and determining the next target road network anchor point in all the candidate road network anchor points based on the third prediction probability.
10. An electronic device, comprising: A memory and a processor in communication with each other, the memory having stored therein computer instructions, the processor executing the computer instructions to perform the traffic guidance method of any of claims 1 to 9.

Description

Traffic guidance method and electronic equipment Technical Field The invention relates to the technical field of traffic, in particular to a traffic induction method and electronic equipment. Background Traffic guidance is one of important means of urban traffic management and travel information service, and can bypass to avoid serious congestion road sections, abnormal traffic road sections and the like for travel vehicles, so that safer and faster travel is realized. For traffic managers, road network traffic flow can be balanced, local severe congestion is avoided, and the overall traffic efficiency of the road network is improved. At present, an induction screen is generally arranged on a road at the upstream of the periphery of an abnormal road section, and induction information is issued to a route vehicle through the induction screen so as to guide the vehicle to avoid the abnormal road section. However, in the traffic guidance mode, the guidance screen is generally arranged in a certain distance upstream of the abnormal road section, and because the guidance screen is relatively adjacent to the abnormal road section, less adjustment space is reserved for changing the driving route of the vehicle, and the traffic flow is easy to intensively select a unique guidance route to cause secondary traffic jam, so that the traffic guidance effect is poor. Disclosure of Invention The invention provides a traffic guidance method and electronic equipment, which are used for solving the problem of poor traffic guidance effect. In a first aspect, the present invention provides a traffic induction method comprising: The method comprises the steps of acquiring abnormal road sections, current travel information of on-road vehicles and historical travel information of the on-road vehicles in a traffic road network, wherein the current travel information comprises a current period type and a traveled path, the first travel information comprises the number of times that the on-road vehicles approach a p-th road network section in the traffic road network under different period types and the number of times that the on-road vehicles approach the p-th road network section to a d-th historical destination section under different period types, and the third travel information comprises the number of times that the on-road vehicles go from an i-th road network anchor point to the d-th historical destination section in the traffic road network under different period types and the number of times that the on-road vehicles go to the d-th destination section after passing through the i-th road network anchor point and the i+1-th road network anchor point under different period types; predicting a destination road section of the on-road vehicle based on the current travel information and the first travel information to obtain a predicted destination road section; Predicting a travel path of the on-road vehicle to the prediction destination road section based on the current travel information and the third travel information to obtain a predicted travel path; And if the predicted driving path approaches the abnormal road section, generating a guidance route based on the predicted destination road section, and sending the guidance route to the on-road vehicle, wherein the guidance route is used for guiding the on-road vehicle to avoid the abnormal road section in the process of going to the predicted destination road section. In a second aspect, the invention provides an electronic device, comprising a memory and a processor, wherein the memory and the processor are in communication connection, the memory stores computer instructions, and the processor executes the computer instructions, so as to execute the traffic guidance method of the first aspect or any implementation mode corresponding to the first aspect. The traffic guidance method provided by the application comprises the steps of firstly acquiring the abnormal road section in the traffic network, the current travel information of the on-road vehicle and the historical travel information of the on-road vehicle. Since the history travel information includes first travel information of the on-road vehicle from an anchor point section between adjacent road network anchors in the traffic road network to the history destination road section under each period type, second travel information of the on-road vehicle from the history start road section to the history destination road section under each period type. Therefore, the destination road section of the on-road vehicle can be accurately predicted by combining the prior knowledge of the current travel information and the first travel information or combining the prior knowledge of the current travel information and the second travel information. Meanwhile, the historical travel information also comprises third travel information from the road network anchor point to the historical destination road section of the on-road vehic