駕駛者心智負荷模式之發展及驗證

Abstract

駕駛者心智負荷的程度，往往會對駕駛者作出的駕駛行為有所影響，當駕駛者遭遇狀況時若其心智負荷大，代表他比較保守、心理容易緊張、不敢冒險，心智負荷小時則代表駕駛者較具冒險心，情緒的變化較小。因此本文收集了過去影響駕駛者心智負荷的相關因素，搭配自身攝影調查的動態資料，構建出動態的心智負荷多元迴歸模式。 本文接續以駕駛者的心智負荷，搭配過去量子力學相關文獻之模式，將研究對象增加為前車和旁車，以實際攝影調查的資料，觀察駕駛者的行為。根據本文調查分析的結果，駕駛者的心跳變動率，會隨著駕駛者心智負荷值的增加，而有逐漸上升的趨勢；駕駛的心智負荷值，會隨著駕駛的平均速度增加而增加；駕駛的心智負荷值，會隨著相對速度的增加而減少。 藉由此模式，搭配手上現有的資料，就可以預測出駕駛者的動態心智負荷值為多少，而之後或許可以利用這些資料，對交通安全的控制貢獻一份心力。

The degree of driver’s mental workload always has influence on driver’s behavior. When driver encounters sudden circumstances, with higher mental workload represents that his character is more preservative so that he is not willing to take a risk. On the contrary, with lower mental workload represents that he acts steadily. This paper gathers the relative factors affecting driver’s mental workload corresponds with dynamic data to construct multiple regression model. Afterwards, this paper corrects the past model of quantum optical flow with driver’s mental workload and increases the targets with front cars and adjacent cars. By analyzing dynamic data we gathered we can observe driver’s behavior. According to the outcome , we can see that heart rate variability raise with increasing driver’s mental workload and driver’s mental workload increases with increasing average speed. Oppositely speaking, driver’s mental workload diminishes with increasing the driver’s speed relative to the target vehicle. With the model and the real data, we can predict dynamic driver’s mental workload. And i hope that maybe somebody can take advantage of this and make contributions to traffic safety in the future.