Zobrazeno 1 - 10
of 66
pro vyhledávání: '"Teknomo, Kardi"'
Autor:
Teknomo, Kardi
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 string code called network signature. A network signature can be compo
Externí odkaz:
http://arxiv.org/abs/2408.06344
Autor:
Teknomo, Kardi
Publikováno v:
Journal of the Eastern Asia Society for Transportation Studies, Volume 12, 2017, p.939-958
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 of relative aggregated count of random walk agents' trajectories on a n
Externí odkaz:
http://arxiv.org/abs/1805.03036
Autor:
Teknomo, Kardi
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. Relations
Externí odkaz:
http://arxiv.org/abs/1706.08856
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 impact to the user of the facilities, as the design of the facilities ch
Externí odkaz:
http://arxiv.org/abs/1609.02243
Autor:
Lee, John Boaz, Teknomo, Kardi
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 allow us to gather GPS trajectories of their vehicles on the road network
Externí odkaz:
http://arxiv.org/abs/1609.02409
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 microscopic traffic flow data, such as individual speed and time or di
Externí odkaz:
http://arxiv.org/abs/1609.02137
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 study is restricted only to pedestrians without considering vehicular -
Externí odkaz:
http://arxiv.org/abs/1609.01810
Microscopic Pedestrian Simulation Model is computer simulation model of pedestrian movement where every pedestrian in the model is treated as individual. Most of pedestrian researches have been done on macroscopic level, which does not consider the i
Externí odkaz:
http://arxiv.org/abs/1609.01808
Autor:
Saadat, Saman, Teknomo, Kardi
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 is very time consuming. Though many studies have asserted the possibili
Externí odkaz:
http://arxiv.org/abs/1609.01710
Autor:
Lao, Allan, Teknomo, Kardi
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 to pedestrian typically is based on shortest path. However, several fac
Externí odkaz:
http://arxiv.org/abs/1609.01475