這篇論文提出了一個計點式的分群方法（CBC）在車載社交網路中分享興趣點的地景資料，在提出的這個方法中，讓屬於同一個車載社交網路中，且正在接近一組新的興趣點（POI）地景資料的車輛組成一個群集，並且選出其中一台車為群集組長透過行動網路下載興趣點地景資料，再透過IEEE 802.11p網路分享給同一群集的其他成員。
這篇論文（1）使用全球定位系統取得車子位置來計算開始組群集的時間、(2）提出一種分群方法讓屬於同一個車載社交網路的車輛在旅行期間彼此接近的的時候可以組成群集，以及（3）設置一個計點方案來計算群集組長的可獲得點數以及每個群集成員需要付的點數，藉此來鼓勵車輛進行共享。
依據模擬結果顯示，和其他的方法相比，提出的方法可以達到公平性，有較高的完整成功率分享興趣點地景資料以及較好的接收效率。

This work proposed a clustering scheme called Credit-Based Clustering (CBC) scheme for Point Of Interests’ (POIs’) geo data sharing in Vehicular Social Network (VSN). In the proposed CBC scheme, vehicles that belong to the same VSN can form a cluster to downloaded POIs’ geo data when they are approaching to a new set of POIs. One vehicle is chosen as the cluster head to download POIs’ geo data using its cellular network and shares the downloaded POIs’ geo data to its cluster members using IEEE 802.11p network. This work (1) uses GPS to get vehicles’ locations to calculate the timing of triggering the clustering process, (2) proposes a clustering method to organize a group of vehicles that belong to the same VSN and are proximate with each other for a while during their touring to become a cluster, and (3) deploys a credit scheme to evaluate the credits that the cluster head can get and each cluster member needs to pay to encourage all vehicles to share POIs’ geo data. The simulation results show that the proposed scheme can achieve the goal of fairness, have higher successful ratio of the complete sharing of downloaded POIs’ geo data and the better receiving efficiency.

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