MAPPING OF CAR DRIVING BEHAVIOR TO ANALYZE SAFETY OF STUDENT DRIVERS
by
DAVID VERIAN RIMBA 1-1211-062
BACHELOR’S DEGREE in
INDUSTRIAL ENGINEERING
FACULTY OF ENGINEERING AND INFORMATION TECHNOLOGY
SWISS GERMAN UNIVERSITY EduTown BSD City
Tangerang 15339 Indonesia
AUGUST 2015
David Verian Rimba MAPPING OF CAR DRIVING BEHAVIOR TO ANALYZE SAFETY OF
STUDENT DRIVERS
by
DAVID VERIAN RIMBA 1-1211-062
BACHELOR’S DEGREE in
INDUSTRIAL ENGINEERING
FACULTY OF ENGINEERING AND INFORMATION TECHNOLOGY
SWISS GERMAN UNIVERSITY EduTown BSD City
Tangerang 15339 Indonesia
AUGUST 2015
Revision after Thesis Defense on August 3rd 2015
David Verian Rimba STATEMENT BY THE AUTHOR
I hereby declare that this submission is my own work and to the best of my knowledge, it contains no material previously published or written by another person, nor material which to a substantial extent has been accepted for the award of any other degree or diploma at any educational institution, except where due acknowledgement is made in the thesis.
David Verian Rimba
Student Date
Approved by:
Ir. Triarti Saraswati M.Eng
Thesis Advisor Date
Dr. Tanika D. Sofianti ST. MT.
Thesis Co-Advisor Date
Dr. Ir. Gembong Baskoro, M.Sc.
Dean Date
David Verian Rimba ABSTRACT
MAPPING OF CAR DRIVING BEHAVIOR TO ANALYZE SAFETY OF STUDENT DRIVERS
By
David Verian Rimba
Ir. Triarti Saraswati M.Eng, Advisor Dr. Tanika D. Sofianti ST. MT., Co-Advisor
SWISS GERMAN UNIVERSITY
Accident in transportation can be caused by human error. Unsafe driving behavior often leads to accident which results not only economic loss, but also deaths. The purpose of this study is to create a map which recognize the behaviors and accidents which have possibilities to cause accident. This research involved 50 university students with questionnaire as its measurement tool. The questionnaire is distributed in 2 ways, online-based and paper-based. The analysis methods for this research are univariate statistics and Human Factor Analysis and Classification System. The result is many respondents who have experienced accident tend to experience more distractions compared to those who never experienced accident. Inattention during driving also contributes to the high rate of accidents. For conclusion, people need to be aware that during driving the most dangerous distractions are related to sleepiness and cellphone usage.
Keywords: Driving Behavior, Human Factor Analysis and Classification System, Human Error
David Verian Rimba
© Copyright 2015 by David Verian Rimba
All rights reserved
David Verian Rimba DEDICATION
For myself as a milestone in accomplishing this bachelor degree For my parents who have always been supporting me
David Verian Rimba ACKNOWLEDGEMENTS
First of all I would like to express my deepest gratitude to the God for the endless blessing and guidance so that the writer can create and finish the thesis work.
I want to thank my advisor Ir. Triarti Saraswati M.Eng and my co-advisor Dr. Tanika D. Sofianti S.T. M.T. for the guiding the writer during my thesis work at Swiss German University. Their endless efforts to help, guide and motivate have helped the writer to accomplish the thesis work.
To all my friends in Swiss German University for the friendship and support during this astonishing 4 years.
And last but not least to my family and beloved one, I want to thank them the most for their love, time, and support throughout the process of completing this thesis work.
David Verian Rimba TABLE OF CONTENTS
STATEMENT BY THE AUTHOR ... 3
ABSTRACT ... 4
DEDICATION ... 6
ACKNOWLEDGEMENTS ... 7
TABLE OF CONTENTS ... 8
LIST OF FIGURES ... 10
LIST OF TABLES ... 12
CHAPTER 1 - INTRODUCTION ... 13
1.1. Background ... 13
1.2. Research Problem ... 13
1.3. Objective ... 14
1.4. Significance of Study ... 14
1.5. Thesis Questions ... 14
1.6. Thesis Limitation ... 15
1.7. Thesis Organization ... 15
CHAPTER 2 - LITERATURE REVIEW ... 16
2.1 Human – Machine System ... 16
2.2 Human Information Processing ... 17
2.3 Human Error ... 19
2.4 Theory of Planned Behavior (TPB) ... 20
2.4.1. Behavior Mapping ... 22
2.5 Human Factor Analysis and Classification System (HFACS) ... 23
2.5.1 Swiss Cheese Model ... 25
CHAPTER 3 - RESEARCH METHODS ... 32
3.1 Introduction ... 32
3.2 Methodology Flowchart ... 32
3.2.1 Problem Identification ... 33
3.2.2 Literature Review ... 34
David Verian Rimba
3.2.4 Population and Sampling ... 35
3.2.5 Data Collection Tools ... 35
3.2.6 Data Gathering ... 39
3.2.7 Data Processing ... 39
3.2.8 Data Analysis ... 39
CHAPTER 4 - RESULTS AND DISCUSSIONS ... 41
4.1 Demographic Analysis ... 41
4.2 Safety Driving Knowledge Analysis ... 45
4.3 Driving Speed Analysis ... 51
4.4 Driving Behavior Analysis ... 57
4.5 Type of Accident Analysis ... 61
4.6 Distraction Analysis ... 61
4.7 Human Factor Analysis and Classification System ... 63
4.7.1. Unsafe Acts ... 63
4.7.2. Preconditions for Unsafe Acts ... 68
4.8 Mapping ... 69
CHAPTER 5 - CONCLUSIONS AND RECOMMENDATIONS ... 74
5.1 Conclusions ... 74
5.2 Recommendations ... 75
5.3 Further Research ... 75
GLOSSARY ... 76
REFERENCES ... 77
APPENDIX ... 79
A1. Questionnaire Form ... 79
CURRICULUM VITAE ... 85