Patent ID: 11887472
Assignee: SOUTHEAST UNIVERSITY
Field: Control (Instruments)
Classification: CPC G | IPC G

Claim 0:
1. A method for evaluating road safety based on multi-dimensional influencing factors, comprising: respectively constructing, for each sub-region in a limited region range, a safety evaluation model through step A to step D, and obtaining, by using the safety evaluation model through step E to step F, influencing factors of safety of each traffic road in the sub-region and performing safety evaluation on the sub-region, the sub-region having a plurality of sub-region characteristics, each traffic road in the sub-region having a plurality of traffic road characteristics:
step A: periodically obtaining, for the sub-region, historical traffic data of the sub-region within a preset duration and historical traffic data of each traffic road in the sub-region within the preset duration, and entering step B;
step B: using motor vehicle daily traffic as safety risk exposure, obtaining safety risk exposure corresponding to the sub-region and safety risk exposure corresponding to each traffic road of the sub-region based on the historical traffic data of the sub-region within the preset duration and the historical traffic data of each traffic road in the sub-region within the preset duration, quantifying the safety risk exposure corresponding to the sub-region and the safety risk exposure corresponding to each traffic road of the sub-region to obtain a categorical variable T corresponding to each of the safety risk exposure corresponding to the sub-region and the safety risk exposure corresponding to each traffic road of the sub-region, and entering step C;
step C: constructing, for each traffic road comprised in the sub-region, a road safety quantification sub-model based on the corresponding historical traffic data and the corresponding categorical variable T obtained in step B, to obtain road safety quantification sub-models respectively corresponding to the traffic roads in the sub-region; and
constructing, based on the road safety quantification sub-models respectively corresponding to the traffic roads in the sub-region and the historical traffic data of the sub-region, a region safety quantification sub-model corresponding to the sub-region, and entering step D;
step D: using, for each sub-region, a model group formed by the region safety quantification sub-model corresponding to the sub-region and the road safety quantification sub-models respectively corresponding to the traffic roads in the sub-region as a safety evaluation model corresponding to the sub-region, wherein an input by each of the region safety quantification sub-models in the model group is the historical traffic data corresponding to the road safety quantification sub-model;
step E: obtaining, according to step A to step C, a region safety quantification sub-model corresponding to the sub-region and each road safety quantification sub-model based on actual traffic data of the sub-region and actual traffic data of each traffic road in the sub-region, and entering step F; and
step F: solving, for the sub-region by using the safety evaluation model according to step D, the region safety quantification sub-model corresponding to the sub-region and the road safety quantification sub-models corresponding to the traffic roads in the sub-region by using a constraint function as a target, obtaining influencing factors for the plurality of sub-region characteristics of the sub-region and the plurality of traffic road characteristics of each traffic road in the sub-region based on the solved region safety quantification sub-model corresponding to the sub-region and road safety quantification sub-models corresponding to the traffic roads in the sub-region, and performing safety evaluation on the sub-region and each traffic road in the sub-region according to the influencing factors.