Evaluation of a Proposed Road in a Campus Network based on Ideal Flow

A proposed road project inside a campus that will have to down trees from its mini forest have attracted different public opinion among the faculty and students. In this paper, we would like to justify our view objectively based on transportation engineering point of view. The Ideal Flow Network (IFN) method was used to do the analysis because its source code is publicly available for clarification. The network data is based on previous study of Ateneo Traffic Group report. Two scenarios were set: based scenario that represents the current road network, and two proposed scenario that represents the current road network with additional proposed road in two ways and one way respectively. Analysis of the results show that the total network travel time of the proposed scenario are increased by 4.69% and 2.32% respectively for two ways and one-way scenarios. The network speed will be slightly improved by 0.03% in when the proposed road project is added in two ways. Thus, we failed to justify that the proposed network has better network performance

Premagic and Ideal Flow Matrices

Several interesting properties of a special type of matrix that has a row sum equal to the column sum are shown with the proofs. Premagic matrix can be applied to strongly connected directed network graph due to its nodes conservation flow. Relationships between Markov Chain, ideal flow and random walk on directed graph are also discussed

Visualizing Gait Patterns of Able bodied Individuals and Transtibial Amputees with the Use of Accelerometry in Smart Phones

Human gait analysis is used to indirectly monitor the rehabilitation of patients affected by diseases or to directly monitor patients under orthotic care. Visualization of gait patterns on the instrument are used to capture the data. In this study, we created a mobile application that serves as a wireless sensor to capture movement through a smartphone accelerometer. The application was used to collect gait data from two groups (able-bodied and unilateral transtibial amputees). Standard gait activities such as walking, running and climbing, including non-movement, sitting were captured, stored and analyzed. This paper discusses different visualization techniques that can be derived from accelerometer data. Removing gravity data, accelerometer data can be transformed into distribution data using periodicity; features were derived from histograms. Decision tree analysis shows that only three significant features are necessary to classify subject activity, namely: average of minimum peak values, student t-statistics of minimum peak values and mode of maximum peak values. We found that the amputee group had a higher acceleration and a lower skewness period between peaks of accelerations than the able-bodied group.Análisis del paso de humanos es usado como una manera indirecta de monitorear la rehabilitación de pacientes afectados por enfermedades o bajo el cuidado ortopédico. La visualización de patrones de paso se usa para captura de datos. En este estudio, se creó una aplicación móvil que sirve como un sensor inalámbrico para capturar el movimiento a través de un acelerómetro en un teléfono móvil. Se recolectaron datos de dos grupos (con y sin discapacidad tibial). Datos de actividades de paso estándar tales como caminar, correr y escalar, incluso moverse o sentarse fueron recogidos, grabados y analizados. Este artículo discute diferentes técnicas de visualizaciíon que fueron derivadas de estos datos de acelerómetro. Removiendo datos de gravedad, los datos del acelerómetro pueden ser transformados en datos de distribución usando periodicidad a partir de histogramas. Análisis del árbol de decisión muestra que sólo tres características significativas son necesarios para clasificar la actividad de los sujetos: promedio estadísticas t-student y moda de valores altos mínimos. Se encontró que el grupo de personas con discapacidad tibial tienen una aceleración alta, y un período de sesgo más bajo entre picos de aceleración que el grupo de no discapacitados

Development of an Image Processing Data Collection and Simulation Model

This dissertation has benefited from the comments and suggestions of many people. Thanks to Mr. Jin Nai and his foundation for the financial support. I am indebted to Prof. Hajime Inamura and Dr. Yasushi Takeyama who gave many useful improvements during the research and the reports. Their influence through useful discussions is immeasurable. I would like to express my gratitude to those who reviewed the manuscript and made useful comments and suggestions: Prof. Hisa Morisugi, Prof. Kazuaki Miyamoto and Dr. Takashi Akamatsu. I am very grateful to Prof. Kochiro Deguchi who also made valuable suggestions especially on a part of chapter 3. I am also grateful to Dr. Katsuya Hirano for his comments on Chapter 4. Thanks to Mr. Tetsuro Harayama who helped to collect the manual data. Finally, thanks to my wife, Gloria P. Gerilla who caught misprints and mistakes in the earlier draft of this manuscript and for her love and encouragement. ii

PENGGUNAAN METODE ANALYTIC HIERARCHY PROCESS DALAM MENGANALISA FAKTOR-FAKTOR YANG MEMPENGARUHI PEMILIHAN MODA KE KAMPUS

Limitation of parking spaces in Petra Christian University need to be solved by deterring private cars usage. However, the factors that affect students to choose their mode to campus are unknown. Determination of factors that influence mode choices may support alternatives and policy that could be proposed. Analytic Hierarchy Process was used to analyze the factors. Trips characteristics data of the students was collected by questionnaires interview. The results of the analysis show that the main factors that influence student to choose their mode to campus is security (49,3%) and time (27,3%). Walking from student dormitory was the best alternative (33.2%), while carpool (16%) is slightly lower than private cars usage (18%). Vanpool (12.4%) is lower than carpool. Abstract in Bahasa Indonesia : Lahan parkir di Universitas Kristen Petra yang terbatas, memerlukan solusi alternatif yang mengalihkan penggunaan kendaraan pribadi. Permasalahannya, faktor-faktor apa yang menyebabkan mahasiswa memilih menggunakan mobil pribadi daripada alternatif moda yang lain belum diketahui. Dengan menentukan faktor-faktor yang mempengaruhi pemilihan moda, serta besar pengaruhnya, berbagai alternatif dan kebijakan untuk menurunkan kebutuhan akan lahan parkir, dapat diusulkan dengan lebih efektif. Metoda Analytic Hierarchy Process (AHP) dapat dipergunakan untuk menentukan faktor-faktor pemilihan moda. Data karakteristik perjalanan dilakukan dengan wawancara berkuisioner kepada mahasiswa Universitas Kristen Petra yang mempunyai kemungkinan untuk melakukan pilihan terhadap alternatif-alternatif moda yang ada. Hasil analisa menunjukkan bahwa faktor utama yang mempengaruhi pemilihan moda untuk berangkat kuliah adalah faktor keamanan (49,3%) dan faktor waktu (27,3%). Ditinjau dari berbagai faktor, alternatif jalan kaki dari pondokan merupakan alternatif yang terbaik (33,2%), sedangkan carpool (16%), sedikit lebih rendah daripada penggunaan mobil pribadi (18%). Angkutan kampus (antar jemput) justru lebih rendah daripada carpool (12.4%). Kata kunci : Analytic Hierarchy Process, parkir, faktor pemilihan moda