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

Claim 3:
4. The method for evaluating road safety based on multi-dimensional influencing factors according to claim 3, wherein step C further comprises: obtaining, for each traffic road comprised in the sub-region according to the following formula:

lnE2n=θ1T+θ2Jn+θ3Wn+θ4Qn+θ5T=0Tn+θ5T=1Tn+θ5T=0AADT2n+θ5T=1AADT2n+θ6An+θ7Dn+εn 

the road safety quantification sub-model lnE2n corresponding to each traffic road, wherein E2 is an accident occurrence amount of the traffic road in a preset time period; εn is an error term of the road safety quantification sub-model; n ranges from 1 to N; N is a total quantity of traffic roads comprised in each sub-region; AADT2n, Jn, Wn, Qn, Tn, An, Dn respectively represent motor vehicle annual average daily traffic, a traffic road lane quantity, a traffic road width, whether the traffic road is provided with an accommodation lane, the categorical variable corresponding to the safety risk exposure of the traffic road, intersection density of the traffic road, and a traffic road grade of an nth traffic road comprised in the sub-region; θ1, θ2, θ3, θ4, θ6, θ7 respectively correspond to the categorical variable corresponding to the safety risk exposure of the sub-region, and the traffic road lane quantity, the traffic road width, whether the traffic road is provided with an accommodation lane, the intersection density of the traffic road, and a safety influence coefficient of the traffic road grade of the nth traffic road comprised in the sub-region; θ5T=1 represents a safety influence coefficient in a case of the categorical variable T=1 corresponding to the safety risk exposure of the nth traffic road comprised in the sub-region; and θ5T=0 represents a safety influence coefficient in a case of the categorical variable T=0 corresponding to the safety risk exposure of the nth traffic road comprised in the sub-region; and
when the traffic road is provided with an accommodation lane, Qn=1; when the traffic road is not provided with an accommodation lane, Qn=0; when the road grade is a main road, Dn=1; when the road grade is a secondary road, Dn=2; and when the road grade is a branch road, Dn=3, wherein θ5T=0+θ5T=0*lnAADTi′=θ5T=1+θ5T=1*lnAADTi′, and in this case, AADTi′ is the median value of motor vehicle annual average daily traffic of all the traffic roads in the sub-region; and
obtaining, for each sub-region in the limited region range according to the following formula:

lnE1m=β1Nm+β2GDPm+β3Km+β4T=0Tm+β4T=1Tm+β4T=0AADT1m+β4T=1AADT1m+β5L1m+β6L2m+β7L3m+β8L4Lm+β9Vm+εm 

a region safety quantification sub-model lnE1m corresponding to each sub-region in the limited region range, wherein E1 is an accident occurrence amount of the sub-region in a preset time period; εm is an error term of the region safety quantification sub-model; m ranges from 1 to M; M is a total quantity of sub-regions comprised in the limited region range; Nm, GDPm, Km, Tm, AADT1m, Vm, L1m, L2m, L3m, L4m respectively represent population density, GDP, road network density, the categorical variable corresponding to the safety risk exposure of the sub-region, motor vehicle annual average daily traffic, an average driving speed, a green area ratio, a residential area ratio, a non-residential area ratio, and a road area ratio of an mth sub-region in the limited region range; β1, β2, β3, β5, β6, β7, β8, β9 respectively represent safety influence coefficients of the population density, the GDP, the road network density, the green area ratio, the residential area ratio, the non-residential area ratio, the road area ratio, and the average driving speed of the mth sub-region in the limited region range; β4T=0 represents a safety influence coefficient in a case of the categorical variable T=0 corresponding to the safety risk exposure of the mth sub-region in the limited region range; and β4T=1 represents a safety influence coefficient in a case of the categorical variable T=1 corresponding to the safety risk exposure of the mth sub-region in the limited region range, wherein
β4T=0+β4T=0*lnAADTi′=β4T=1+β4T=1*lnAADTi′, and in this case, AADTi′ is the median value of motor vehicle annual average daily traffic of all the sub-regions in the limited region range.