  Today's vehicles are becoming cyber-physical systems that do not only
communicate with other vehicles but also gather various information from
hundreds of sensors within them. These developments help create smart and
connected (e.g., self-driving) vehicles that will introduce significant
information to drivers, manufacturers, insurance companies and maintenance
service providers for various applications. One such application that is
becoming crucial with the introduction of self-driving cars is the forensic
analysis for traffic accidents. The utilization of vehicle-related data can be
instrumental in post-accident scenarios to find out the faulty party,
particularly for self-driving vehicles. With the opportunity of being able to
access various information on the cars, we propose a permissioned blockchain
framework among the various elements involved to manage the collected
vehicle-related data. Specifically, we first integrate Vehicular Public Key
Management (VPKI) to the proposed blockchain to provide membership
establishment and privacy. Next, we design a fragmented ledger that will store
detailed data related to vehicle such as maintenance information/history, car
diagnosis reports, etc. The proposed forensic framework enables trustless,
traceable and privacy-aware post-accident analysis with minimal storage and
processing overhead.
