Developing of Self-learning Car Navigation System

1.利用GPS天线(ETAK ET-GPS1)、MAP和GPS软件(MapFan II)、PC机(NEC PC-9821Nr166)组成GPS系统。给出了如何从GPS行驶轨迹数据中检测路网上的行驶路段并计算路段行程时间的方法。形成了将行程时间数据作为知识库保存到计算机磁盘上的系统。形成了利用行程时间数据库搜索始发地与目的地之间的最优路径并将其显示在地图上的系统。通过在冈山市主干道路网上驾驶安装了GPS系统的试验车，实际形成了行程时间数据库。通过计算机仿真验证了导航系统基于行程时间数据库给出的最优路径的准确性。虽然结果因交通条件不同而不同，但该导航系统对最优路径搜索的准确率总体平均约为42%，最大准确率约为75%。该导航系统平均缩短行程时间约9%，最大缩短行程时间约20%。通过研究表明，自学习车载导航系统是有效的，在技术上是可行的。

1. The GPS system that used the GPS antenna (ETAK ET-GPS1), map & GPS software (MapFan II), personal computer (NEC PC-9821Nr166) was composed.2. The method how to detect the traveling link on the road network and calculate link travel times from the GPS traveling locus data was formed.3. The system that preserves the travel time data as a knowledge database to the disk of the computer was formed.4. The system that searches the optimal route between origin and destination by using the travel time database and displays it on the map was formed.5. By driving the test vehicle that installed the GPS system on the major line road network of Okayama city area, the travel time database was formed actually.6. The accuracy of the optimal route, that is presented by Navigation System on the basis of the travel time database was examined by using computer simulation.7. Although the result differs by traffic condition, the accuracy of the optimal route search by this Navigation System is about 42% as the whole average and about 75% as the maximum.8. The travel time cut by this Navigation System is about 9% as the whole average and about 20% as the maximum.9. Through the study it was made clear that the self-learning car navigation system is effective and it is possible technically.