170 citations · 297 across the 18 of their papers we have counts for
20 papers
The Signatures of Ideal Flow Networks
Kardi Teknomo
An Ideal Flow Network (IFN) is a strongly connected network where relative flows are preserved (irreducible premagic matrix). IFN can be decomposed into canonical cycles to form a…
Ideal Relative Flow Distribution on Directed Network
Kardi Teknomo
In this paper we propose a new concept to prioritize the importance of a link in a directed network graph based on an ideal flow distribution. An ideal flow is the infinite limit o…
Premagic and Ideal Flow Matrices
Kardi Teknomo
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 connecte…
Determination of Pedestrian Flow Performance Based on Video Tracking and Microscopic Simulations
Kardi Teknomo, Yasushi Takeyama, Hajime Inamura
One of the objectives of understanding pedestrian behavior is to predict the effect of proposed changes in the design or evaluation of pedestrian facilities. We want to know the im…
Microscopic Pedestrian Simulation Model to Evaluate "Lane-Like Segregation" of Pedestrian Crossing
Kardi Teknomo, Yasushi Takeyama, Hajime Inamura
One of the objectives of the pedestrian analysis is to evaluate the effects of proposed policy on the pedestrian facilities before its implementation. The implementation of a polic…
Tracking Algorithm for Microscopic Flow Data Collection
Kardi Teknomo, Yasushi Takeyama, Hajime Inamura
Various methods to automate traffic data collection have recently been developed by many researchers. A macroscopic data collection through image processing has been proposed. For…
Tracking System to Automate Data Collection of Microscopic Pedestrian Traffic Flow
Kardi Teknomo, Yasushi Takeyama, Hajime Inamura
To deal with many pedestrian data, automatic data collection is needed. This paper describes how to automate the microscopic pedestrian flow data collection from video files. The s…
Review on Microscopic Pedestrian Simulation Model
Kardi Teknomo, Yasushi Takeyama, Hajime Inamura
Microscopic Pedestrian Simulation Model is computer simulation model of pedestrian movement where every pedestrian in the model is treated as individual. Most of pedestrian researc…
Microscopic Pedestrian Flow Characteristics: Development of an Image Processing Data Collection and Simulation Model
Kardi Teknomo
Microscopic pedestrian studies consider detailed interaction of pedestrians to control their movement in pedestrian traffic flow. The tools to collect the microscopic data and to a…
Graphs, Ideal Flow, and the Transportation Network
Kardi Teknomo
This lecture discusses the mathematical relationship between network structure and network utilization of transportation network. Network structure means the graph itself. Network…
Comparison of several short-term traffic speed forecasting models
John Boaz Lee, Kardi Teknomo
The widespread adoption of smartphones in recent years has made it possible for us to collect large amounts of traffic data. Special software installed on the phones of drivers all…
Automation of Pedestrian Tracking in a Crowded Situation
Saman Saadat, Kardi Teknomo
Studies on microscopic pedestrian requires large amounts of trajectory data from real-world pedestrian crowds. Such data collection, if done manually, needs tremendous effort and i…
Multi Exit Configuration of Mesoscopic Pedestrian Simulation
Allan Lao, Kardi Teknomo
A mesoscopic approach to modeling pedestrian simulation with multiple exits is proposed in this paper. A floor field based on Qlearning Algorithm is used. Attractiveness of exits t…
OpenTripPlanner, OpenStreetMap, General Transit Feed Specification: Tools for Disaster Relief and Recovery
Chelcie Narboneta, Kardi Teknomo
Open Trip Planner was identified as the most promising open source multi-modal trip planning software. Open Street Map, which provides mapping data to Open Trip Planner, is one of…
Q-Learning with Basic Emotions
Wilfredo Badoy, Kardi Teknomo
Q-learning is a simple and powerful tool in solving dynamic problems where environments are unknown. It uses a balance of exploration and exploitation to find an optimal solution t…
Hub Identification of the Metro Manila Road Network Using PageRank
Jacob Chan, Kardi Teknomo
We attempt to identify the different node hubs of a road network using PageRank for preparation for possible random terrorist attacks. The robustness of a road network against such…
Background Image Generation Using Boolean Operations
Kardi Teknomo, Proceso Fernandez
Tracking moving objects from a video sequence requires segmentation of these objects from the background image. However, getting the actual background image automatically without o…
Hadamard Product Decomposition and Mutually Exclusive Matrices on Network Structure and Utilization
Michael Ybañez, Kardi Teknomo, Proceso Fernandez
Graphs are very important mathematical structures used in many applications, one of which is transportation science. When dealing with transportation networks, one deals not only w…
Data Association for an Adaptive Multi-target Particle Filter Tracking System
R. Alampay, K. Teknomo
This paper presents a novel approach to improve the accuracy of tracking multiple objects in a static scene using a particle filter system by introducing a data association step, a…
Pedestrian Static Trajectory Analysis of a Hypermarket
Kardi Teknomo, Gloria P. Gerilla
In this paper, we propose a combination of pedestrian data collection and analysis and modeling that may yield higher competitive advantage in the business environment. The data co…