應用智慧型手機辨識機車駕駛行為與道路資訊之研究

An application of smart phone on motorcycle driving behavior and road information identification

周建龍(Chien-Lung Chou)

指導教授 ： 姚修慎

元智大學/資訊學院/資訊工程學系/碩士(2011年)

https://doi.org/10.6838/YZU.2011.00300

摘要

機車在大部分的國家都是普及率最高的交通工具，但最大的缺點在於安全性不足，機車騎士只要發生交通事故其受傷程度必較為嚴重，故為提高安全性可針對改善機車騎士的危險駕駛行為著手。

本研究於智慧型手持裝置上建立一行車資料收集平台並安裝於機車上，收集行車過程中的駕駛行為及道路資料，收集的資料透過結構化的方式儲存並透過資料倉儲技術將資料集中、清理與整理後作後續的分析。

利用資料探勘以及統計分析的相關技術找出隱藏於大料資料中的特徵值，建立一套可信賴的駕駛行為與道路資訊的辨識庫，辨識庫中除加速、減速等基本駕駛舉動外亦包含急加速、急減速、轉彎、圓環轉彎、迴轉等駕駛行為以及道路坑洞特徵值，辨識庫除可辨識駕駛行為與道路資訊外亦包含危險舉動的行車特徵門檻值。

最後，可依據辨識出來的危險舉動與道路坑洞資訊，組合成駕駛安全指標以及道路平坦度指標，作為事後督促機車騎士改善駕駛行為與道路養護的客觀依據。

關鍵字

智慧型手持裝置 ； 駕駛行為 ； 資料探勘 ； Pattern Rule Base

並列摘要

In many countries, motorcycles are the most popular conveyances, the major drawback of which is lack of safety. The motorcyclists get serious injuries when occurring traffic accidents. Therefore, it’s helpful to improve the safety of the motorcyclists by improving their danger driving behaviors.

This thesis focuses on constructing a data-collecting platform in the smart handheld device and assembling that device on the motorcycle to collect the data of driving behavior and road information in the driving process. The data will be structurally saved and centralized, cleaned, and systemized for further analysis through the data warehouse technology.

The author uses the data-mining and statistical analysis to find the eigenvalue hidden in the mass data and to construct a reliable recognition database of the data of driving behavior and road information.In this database, besides the basic driving behaviors like speed up and speed down, it also has the other driving behaviors like the emergency acceleration, deceleration, turn, turning circle, U-turn and the eigenvalue of the potholes on the roads. The recognition database can recognize not only the data of driving behavior and road, but also the eigenvalue threshold of danger driving behaviors.

Finally, by using the data of danger driving behavior and the potholes on the roads, the author will construct the the safety degree of motorcyclists and the smooth degree of roads to be the objective basis for improving motorcyclist’s driving behaviors and maintenance of the roads.

並列關鍵字

Smart Handheld Device ； Driving Behavior ； Data Mining ； Pattern Rule Base

參考文獻

4.蔡宜良，「道路特徵對行車的影響之研究」，元智大學碩士論文，民國97年

15.鮑雨薇，「人格特質、態度、風險感認與大專生機車危險駕駛行為之關係」，交通大學碩士論文，民國98年

2.高金海，「應用行車數位資料建構危險路段指標之探討」，台北大學碩士論文，民國99年

3.林煥為，「行車轉彎之行為模式辨認」，元智大學碩士論文，民國97年

5.楊如平，「行車資訊平台建置及資訊辨識之應用研究」，元智大學碩士論文，民國96年