Yes there is. On my POS computer that is 4 years old, I just stored a fictional "data matrix" consisting of 100000 rows (which could represent license plates), and 100 columns (which could be represent latitude and longitude). It's real easy to store even more data, when you factor in compression schemes which would reduce the matrix sizes by over 90%.
Why would they want to know where you're going?
Big brother intimidation tactics. If people know the gov't is watching, they will be even more afraid to speak up than they are now. Also, there are so many edicts, that it would be easy to catch of any us breaking the edicts. So law enforcement would then be on a selective basis (i.e., we didn't like that last letter you wrote to the mayor, attached are 12 speeding tickets from yesterday).
But...you don't break the law, do you?
Who knows? Do you know all of the edicts by heart?
Who cares about the cars that are just moving around? Nobody
It's also about revenue. They will eventually send you a bill for speeding, that is some sort of multiplication of the minutes you sped and the amount over the limit.
Wow. You use the exact same database design methodology as a phD I know. We don't need no stinking indices. No problem that can't be solved with more columns.
No offence intended, you are clearly out of your depth r.e. database design and scaling issues. Just think for a minute how fast the database updates would be flying on your hypothetical system. Find me any database that can handle the TPS (transactions per second). Distributing the data onto multiple databases defeats the purpose as you would have to partition the data geographically, rendering it impossible to query efficently. Pulling data for a watch list from the distributed databases to a central one would be possible.
BTW I would go for the microwave to disable to RFID. If that did'nt work a tesla coil should do the job.
It would be challanging to identify which vehicles RFID's were broken. Especially as helpers (like me) would be generating burnt out RFIDs werever we went.