scholarly journals Unfreezing Habitual Behavior by Transportation Policies: A Traffic Network Simulation Analysis.

2001 ◽  
pp. 85-101 ◽  
Author(s):  
Satoshi FUJII ◽  
Syoichiro NAKAYAMA ◽  
Ryuichi KITAMURA
2020 ◽  
Vol 72 (4) ◽  
pp. 174-179
Author(s):  
Ye.Y. Bidaybekov ◽  
◽  
Y.K. Khenner ◽  
Sh.T. Shekerbekova ◽  
Y. Н. Zhabayev ◽  
...  

The article discusses of training future computer science teachers in computer networks based on network simulation. Analysis of scientific and pedagogical and educational literature has shown that in the training of computer science teachers, computer networks are studied in the aspect of information simulation of their structures, while simulation the processes of their functioning is not given due attention, despite the possibility of its use in the organization of training. Most educational institutions face organizational, technical and material difficulties when organizing training in computer networks on real equipment. The above-mentioned difficulties in training future computer science teachers in computer networks can be avoided by using network simulation. By network simulation, we mean reproducing a dynamic image of the main network components (network cables, switches, hubs, routers, etc.) and visualization the processes of their configuration and operation on the computer screen.


Author(s):  
V. Ngoc Nguyen

The traffic network simulation model, SCATSIM, was developed by the Roads and Traffic Authority of New South Wales, Australia, as an aid to the development and improvement of the Sydney Coordinated Adaptive Traffic System (SCATS). It is capable of simulating traffic under different control techniques (such as fixed-time and SCATS adaptive control). Other traffic control systems, with known control algorithms, can also be simulated by SCATSIM. This paper is aimed at evaluating SCATSIM performance against a well-accepted analytical model, TRANSYT. Test runs demonstrate that SCATSIM is capable of simulating comprehensive traffic conditions derived from real world situations. It indicates that SCATSIM can simulate (a) traffic delay, vehicle stops, and fuel consumption within 11 percent of those predicted by TRANSYT; and (b) vehicle pollution emission (carbon monoxide, hydrocarbons, and oxides of nitrogen) within 5 percent of what is derived from TRANSYT results.


2016 ◽  
Vol 21 (1) ◽  
pp. 63-77 ◽  
Author(s):  
Elvira Thonhofer ◽  
Elisabeth Luchini ◽  
Stefan Jakubek

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