Dynamic weight generation for signal set matching

A computer-implemented method comprising:

• determining, by a device comprising a processor, a degree of matching between a first vehicle signal dataset of a first vehicle from a group of vehicle signal datasets and a second vehicle signal dataset of a second vehicle from the group of vehicle signal datasets, wherein the first vehicle signal dataset is in a first format, wherein the second vehicle signal dataset is in a second format that is different from the first format, wherein the degree of matching is based on a similarity of two or more attributes in the first vehicle signal dataset with two or more attributes in the second vehicle signal dataset, wherein the two or more attributes in the first vehicle signal dataset are known, and wherein the determining the degree of matching comprises:
• identifying, in the two or more attributes in the first vehicle signal dataset, a first attribute having a most importance that is indicative of high confidence in the determination of the degree of matching and a second attribute having a least importance that is indicative of a low confidence in the determination of the degree of matching,
• determining a first degree of similarity between a first attribute in the second vehicle signal dataset with the first attribute in the first vehicle signal dataset,
• determining a second degree of similarity between a second attribute in the second vehicle signal dataset with the second attribute in the first vehicle signal dataset, and
• applying the second degree of similarity to the first degree of similarity to dynamically adjust the first degree of similarity as a function of the second degree of similarity;
• and
• mapping, based on determining the degree of matching, one or more signals in the first vehicle signal dataset to respective one or more signals in the second vehicle signal dataset.

A computer program product for determining degree of dataset matching, the computer program product comprising a computer readable storage medium having program instructions embodied therewith, the program instructions executable by a processor to cause the processor to:

• determine a degree of matching between a first vehicle signal dataset of a first vehicle from a group of vehicle signal datasets and a second vehicle signal dataset of a second vehicle from the group of vehicle signal datasets, wherein the first vehicle signal dataset is in a first format, wherein the second vehicle signal dataset is in a second format that is different from the first format, wherein the degree of matching is based on a similarity of two or more attributes in the first vehicle signal dataset with two or more attributes in the second vehicle signal dataset, wherein the two or more attributes in the first vehicle signal dataset are known, and wherein the determining the degree of matching comprises:
• identifying, in the two or more attributes in the first vehicle signal dataset, a first attribute having a most importance that is indicative of high confidence in the determination of the degree of matching and a second attribute having a least importance that is indicative of a low confidence in the determination of the degree of matching,
• determining a first degree of similarity between a first attribute in the second vehicle signal dataset with the first attribute in the first vehicle signal dataset,
• determining a second degree of similarity between a second attribute in the second vehicle signal dataset with the second attribute in the first vehicle signal dataset, and
• applying the second degree of similarity to the first degree of similarity to dynamically adjust the first degree of similarity as a function of the second degree of similarity;
• and
• mapping, based on determining the degree of matching, one or more signals in the first vehicle signal dataset to respective one or more signals in the second vehicle signal dataset.