在不久的將來，每輛車將能夠定期向鄰居車輛廣播有關其位置，速度，計算能力和行為信
息的信息。 攜帶這些信息的信息將降低事故發生的可能性，提高司機和乘客的安全，並允
許額外的娛樂服務。 目前，這個範圍的主要備選技術是IEEE 802.11p和LTE-Advanced結合
D2D通訊(LTE-D2D）。 本研究的目的是開發LTE-Advanced中的任務排程演算法，從機率和
系統總處理能力的角度出發，在車載雲端計算中提供最佳的資源分配方法，並與現有的其
他解決方案進行比較。

In a near future, each vehicles will be able to periodically broadcast information to their
neighbors vehicles about their position, speed, computational capability and their behaviours information. The messages carrying such information will reduce the probability of accidents, improve the safety of drivers and passengers and allow additional entertainment services. The main candidate technologies for this scope today are IEEE 802.11p and LTE Advanced with device-to-device communications (LTE-D2D). The aim of this study is to develop the task scheduling algorithm in LTE-Advanced, that will provide resource sharing in vehicular cloud computing in terms of probability and system throughput, and compare it with another existing solutions.

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