1.本系統係構建一套涵蓋「最佳換檔時機」及「安全跟車間距控制指示系
統」以作為「先進駕駛人資訊系統」中之自動車輛控制基礎架構，其運作
目標乃係追求安全跟車間距達到最小化，進而增加行車密度，使道路服務
流量最大化，並基於引擎低汙染及油耗情況下，利用模糊邏輯法則建構最
佳之換檔時機模式。 2.本研究建立的行車控制指示系統，可適切地根據
駕駛者反應快慢、個人冒險度大小及車速，經由計量化的類神經模糊推論
來決定當時之最佳安全跟車間距及換檔時機，並利用雷射雷達測距儀的偵
測，在車距過小時，給予駕駛者警訊。此外，利用雷射波測距儀所偵測之
瞬間跟車間距信號，以及車輛行駛狀態，包括車速、加速度、引擎扭力、
節氣門開度，傳輸至車輛行駛性能數據擷取儀，經由介面處理後，輸入模
糊邏輯控制單元，依據構建完成之隸屬函數與推論規則，執行邏輯推論與
解模糊化之過程，進而獲得換檔時機與安全跟車間距決策之指示。整體系
統除可提供作為駕駛訓練之用外，亦可校正不良駕駛習慣，及保持個人安
全跟車間距，以提高道路服務容量之目標。
1.This study has first incorporated both aspects of safety
distance headway and gear shifting, which are based on Neuro
-Fuzzy inference and human responses, to construct an effi-
cient car following controlling indication system. 2.In the
beginning of the research, the data required for
establishing the native GM-5th car following model was
gathered through field experiments. The distance headways
during the experiments between the leading car and the
following car were measured by a laser detector. Once the
practical distance headways detected by the laser detector
is less than the safety distance headway computed by the
system computer,the alarm will sound to remind the driver to
slow down to increase the necessary distance headways to avoid
the possible collision. Of course, accompanying the
operations of speed up or slow down, the manipulation of
gear shift will necessarily be involved. Hence, the determi-
nation of optimal gear number based upon the concerns of
Neuro-Fuzzy Inference and the minimum fuel consumption rates
will dominate this aspect.