整合即時路況之導航系統研究

由於近年來全球定位系統的使用率大增，加上與地理資訊系統的技術整合，使得汽車導航系統成為一個相當熱門的商品，對於汽車駕駛來說是非常重要的輔助工具。在導航系統當中有一個重要的核心模組就是依據即時路況進行路徑導航，因此本研究將結合情境感知技術、基因演算法理論在無線感測網路下建構一即時路況整合應用系統進行最佳路徑規劃以便進行導航。此最佳路徑完全依照車況、油量、即時路況（塞車、坍方）等條件進行評估，規劃專屬的安全智慧化服務，讓使用者能有更好的感受。最後利用實驗來驗證方法的有效性，此研究對於應用在汽車導航裝置上面以及提升使用者滿意度具有相當大的發展優勢。

關鍵字

即時路況；基因演算法；路徑規劃；汽車導航；無線網路

並列摘要

Global Positioning System (GPS) is a space-based global navigation satellite system. In recent years, the integration of GPS and geographic information systems technology to makes the car navigation system has become more and more popular. Especially for the driving is a very important tool。Real time traffic navigation is an important key concept of navigation system. Therefore, we will use the context awareness and genetic algorithm to propose a real time traffic navigation system in wireless sensor networks. The proposed system takes many parameters, such as the distance, oil status of car, traffic and obstacle, into account to plan the best path for the driving. Our experimental results also indicate that the proposed real time traffic navigation system is very efficient. This study used in car navigation system will enhance user satisfaction.