## 6 Evaluation
### Functional Evaluation  
Our virtuous cycle of data monetization since the generation from the vehicle traversing Vehicle_OEM to RADAR_OEM and offering a closed-loop road RADAR signature service based on the received data improvisation has the functional properties as represented in Figure 10. In this discussion, we consider the following representations for the different types of participants in the ecosystem:  
* Set of Vehicle_OEM is represented as Vo = {Vo1, Vo2...VoN} for N participants. * Set of RADAR_OEM is represented as set of Ro = {Ro1, Ro2...RoK} for K participants. * Set of Vehicles are represented as V = {V1, V2...VM} for M participants. * Processed RADAR data are monetized by each vehicle belonging to a Vo represented as {D1, D2...DLT} for L successive data assets to be exchanged over the data market. * Processed road RADAR signature map (RRS), which a RADAR OEM Ro monetizes, represented as {Rs1, Rs2...Rs5} for P successive RRS asset service to be exchanged as a virtuous cycle in the data market. * Bid either for asset data or asset data service is represented as {Bx,y,1, Bx,y2...Bx,y,s}, where x signifies the bidder and y signifies the asset or asset service tendered. * Certification for any asset data DLT, CD is defined as the set of hash signatures derived at each stage of processing steps of individual vehicle data generation, collated raw data in the pool before processing, collated raw data after processing in Vo cloud and then including the OAuth access token. * Certification for any asset service RSSRSP, CRs is defined as the set of hash signatures derived at each stage of signature formation like initial data state, augmented data after colla ion and improvised RADAR data with signature along with subscription access token. * Review for any asset or asset service is defined as a score of 0...1 where zero represents the lowest and one represents the highest score; any median value is also possible. This is represented as Rij, where i represents the reviewer and j represents the asset or the asset service transferred and reviewed. Based on the review accumulated for asset data DLT or asset service RSSRSP, its future issued asset or asset service can have higher or lower pricing based on its reputation score mean RSMRADAR_OEM | Vehicle_OEM. The reputation score for the asset is proportional to the number of certifications received for the asset or the asset service. Figure 9: DataMonetization Blockchain Cloud Architecture. * Reputation Score Mean \(\text{RSM}_{\text{RADAR\_OEM}}\) | Vehicle_OEM for either Vehicle_ or RADAR OEM is the arithmetic mean of historical reviews accumulated. For example, the Reputation score mean for RADAR_OEM or Vehicle_OEM is represented as \[RM_{\text{j}}=mean(R_{\text{i-2,j}},R_{\text{i-1,j}},\ldots R_{\text{i,j}})\] \[RSM_{\text{Radar\_OEM}}\) | Vehicle_OEM = \(mean(RM_{\text{j-2,}},RM_{\text{j-1,}},\ldots RM_{\text{j}})\] \[0\leq i\leq N,\text{i}\] represents the index of the reviewers of either asset or asset service \[0\leq j\leq N,\text{j}\] represents the index of asset or asset service exchanged \[RM_{\text{j}}\], represents the Mean review attained for a particular asset or asset service j \[RSM_{\text{Radar\_OEM}}\) | Vehicle_OEM is the Reputation Score Mean of Radar/Vehicle OEM. Its properties are discussed below. * Global Fairness: Fairness in the case of any application is defined by the work of FairSwap [9]: \"A fair exchange protocol allows a seller S to sell a digital commodity D for a fixed price p to a buyer B. The protocol is secure if B only pays if he receives the correct D\". We extend this work in our above design as in [8] for Global Fairness where every participant in our ecosystem has the following guarantees:
* Each participant is ensured that fund transfer for any D happens only when the certification conditions is satisfied for C\({}_{\text{D}}\). * Fund transfer is not fulfilled immediately as it is placed in an escrow account \(\epsilon\) and then, on verification, transferred to the destined participant account.