activity
20162024
most citedMicroscopic Pedestrian Flow Characteristics: Development of an Image Processing Data Collection and Simulation Model

170 citations · 287 across the 14 of their papers we have counts for

collaborators

16 papers

cs.DM2024

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…

cs.SI2018

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…

math.CO2017

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…

cs.CV2016★ 9 cited

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…

physics.soc-ph2016★ 24 cited

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…

cs.CV2016★ 1 cited

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…