Patent ID: 11912286
Assignee: TSINGHUA UNIVERSITY
Field: Transport (Mechanical engineering)
Classification: CPC B  G | IPC B  G

Claim 10:
11. The method according to claim 2, wherein
the “synchronized test data” used in S3 comprises accelerator pedal angle signals and brake pedal angle signals of the test vehicle, wherein the accelerator pedal angle signals and the brake pedal angle signals of the test vehicle are collected by the information acquisition device;
S3 specifically comprises:
S31, extracting a distribution of a first moment ti,acc,s, a second moment ti,acc,e, a third moment ti,bra,s and a fourth moment ti,bra,e of a driver di according to the accelerator pedal angle signals and the brake pedal angle signals of the test vehicle;
S32, according to the distribution of the first moment ti,acc,s, the second moment ti,acc,e, the third moment ti,bra,s and the fourth moment ti,bra,e obtained in S31, combined with to ti,acc,s, ti,acc,e, ti,bra,s and ti,bra,e corresponding to an environment sj at each of the first moment ti,acc,s, the second moment ti,acc,e, the third moment ti,bra,s and the fourth moment ti,bra,e, using a clustering algorithm, obtaining cluster centers Lij,acc,s, Lij,acc,e, Lij,bra,s, Lij,bra,e of scatter points on ti,acc,s, ti,acc,e, ti,bra,s and ti,bra,e, wherein
Lij,acc,s represents a risk level of the first moment ti,acc,s, Lij,acc,e represents a risk level of the second moment ti,acc,e, Lij,bra,s represents a risk level of the third moment ti,bra,s, and Lij,bra,e represents a risk level of the fourth moment ti,bra,e;
S33, defining a maximum risk level value Lmax, wherein Lmax corresponds to TTC=0;
S34, assigning values to Lij,acc,s, Lij,acc,e, Lij,bra,s, Lij,bra,e in a range of [0, Lmax];
wherein i is a serial number of one of the drivers, and i=1 to n;
j is a serial number of one of the plurality of driving scenarios, and j=1 to m.