Data processing apparatus and non-transitory recording medium
A data processing apparatus performs a simulation process based on driving operation data of a vehicle. In the simulation process, the apparatus simulates a vehicle behavior using multiple vehicle models having different parameter settings. The data processing apparatus also performs a model identifying process. In the model identifying process, the apparatus evaluates a similarity between a vehicle behavior obtained by the simulation using each vehicle model and an actual measured vehicle behavior of the vehicle. The apparatus identifies one or more vehicle models that satisfy a predetermined similarity condition based on the evaluated similarity.
1 . A data processing apparatus comprising:
one or more processors; and
one or more storage media comprising a program to be executed by the one or more processors stored therein, wherein
the program comprises one or more commands,
the one or more commands cause the one or more processors to execute:
a simulation process of performing, based on driving operation data of a vehicle of interest, a simulation of a vehicle behavior of the vehicle of interest using a plurality of vehicle models of the vehicle of interest, each of the plurality of vehicle models being subjected to a parameter setting corresponding to a different vehicle setting of the vehicle of interest; and
a model identifying process of, for each of the plurality of vehicle models,
evaluating a similarity between a time waveform of the vehicle behavior obtained in the simulation process using a corresponding one of the plurality of vehicle models and a time waveform of an actual measured vehicle behavior, the actual measured vehicle behavior being a vehicle behavior of the vehicle of interest that has been actually measured, and
identifying, from among the plurality of vehicle models, one or more of the plurality of vehicle models that satisfy a predetermined similarity condition based on the evaluated similarity.
2 . The data processing apparatus according to claim 1 , wherein the plurality of vehicle models to be used in the simulation process are vehicle models subjected to respective parameter settings corresponding to different abnormal items out of abnormal items of the vehicle of interest.
3 . The data processing apparatus according to claim 2 , wherein the one or more commands cause the one or more processors to execute:
a determination process of performing, based on the driving operation data of the vehicle of interest, a simulation of a vehicle behavior of the vehicle of interest using a vehicle model of the vehicle of interest subjected to a parameter setting different from the parameter settings corresponding to the abnormal items, and determining whether a degree of similarity of the vehicle behavior obtained by the simulation with respect to the actual measured vehicle behavior of the vehicle of interest is less than or equal to a predetermined degree of similarity; and
the model identifying process in response to determining, in the determination process, that the degree of similarity is less than or equal to the predetermined degree of similarity.
4 . The data processing apparatus according to claim 1 , wherein, in the simulation process, the simulation is performed using, as the plurality of vehicle models, the plurality of vehicle models each subjected to a parameter setting corresponding to a traveling road surface state of the vehicle of interest estimated based on position data of the vehicle of interest.
5 . The data processing apparatus according to claim 1 , wherein the vehicle setting includes at least one of:
a wheel alignment setting including an abnormality in a toe angle or an abnormality in a camber angle;
a throttle setting including an abnormality in a response speed or an abnormality in an opening and closing quantity; or
a brake pad setting.
6 . The data processing apparatus according to claim 1 , wherein the evaluating of the similarity comprises calculating a degree of similarity by:
calculating, using a cross-correlation function, correlation values for respective time waveforms of a yaw rate, a longitudinal acceleration, a lateral acceleration, a roll angle, and a pitch angle, each correlation value having 1 as a largest value, the respective time waveforms being included in (i) the vehicle behavior obtained in the simulation process and (ii) the actual measured vehicle behavior; and
summing the correlation values,
wherein the model identifying process is configured to identify the one or more of the plurality of vehicle models as the one or more of the plurality of vehicle models for which the degree of similarity is greater than or equal to a predetermined threshold.
7 . A non-transitory computer readable recording medium containing a computer program, the computer program causing, when executed by a computer, the computer to execute a process comprising
a simulation process of performing, based on driving operation data of a vehicle of interest, a simulation of a vehicle behavior of the vehicle of interest using a plurality of vehicle models of the vehicle of interest, each of the plurality of vehicle models being subjected to a parameter setting corresponding to a different vehicle setting of the vehicle of interest; and
a model identifying process of, for each of the plurality of vehicle models,
evaluating a similarity between a time waveform of the vehicle behavior obtained in the simulation process using a corresponding one of the plurality of vehicle models and a time waveform of an actual measured vehicle behavior, the actual measured vehicle behavior being a behavior of the vehicle of interest that has been actually measured, and
identifying, from among the plurality of vehicle models, one or more of the plurality of vehicle models that satisfy a predetermined similarity condition based on the evaluated similarity.