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Modeling, traffic

Ultimately, while the DiC is a useful systematic, and cognitive, description of goal-driven processes in driving, it is openly described by its creators as a descriptive model and therefore does not directly result in solid predictions that can be tested. However, it could be useful in modelling traffic behaviour and as a guideline for designers of driver-assistance technology. [Pg.53]

ABD 00] Abdel-Aty M.A., Radwan A.E., Modeling traffic accident occurrence and imoXvwaex, Accident Analysis and Prevention vol. 32, pp. 633-642,2000. [Pg.99]

A computer program (or model) was then developed to describe the behavior of drivers that arrived at and passed through the intersection. Using a procedure described by the general flowchart shown as Figure 5.3, the researchers modeled traffic flow through the intersection and estimated delays to motorists under different conditions of traffic flow, as Figure 5.4 illustrates. [Pg.120]

CALINE3 (California Line Source Model) is a line source dispersion model tliat can be used to predict carbon monoxide concentrations near liighways and arterial streets given traffic emissions, site geometry, and meteorology. [Pg.384]

When enrichment episodes occur in the real world, but not in the laboratory under federal certification tests, real-world emissions are significantly higher than predicted. Further complicating emissions prediction is that aggressive driver behavior and complex traffic flow characteristics play a large role in enrichment occurrence. Current vehicle activity simulation models can predict average speeds and traffic volumes very well, but poorly predict the hard-accel-eration events that lead to enrichment. [Pg.455]

MODELING THE EMISSIONS IMPACTS OF TRAFFIC FLOW IMPROVEMENTS... [Pg.1151]

These include the canteen, toilets, workers rest rooms, access routes and the car parks. Hygiene, traffic density, traffic flow and sizing need to be addressed and have been discussed in the section on the sizing model. [Pg.81]

To shed more light on this, you might try to generahse all findings. You could develop a model concept of car use by humans, based on apparent traffic rules. [Pg.129]

This would be a challenging task as you would have to understand the Highway Code from the observed behaviour of other road users However, you might come up with a reasonably close model of national traffic rules. And you would not need to give detailed descriptions of individual components of a car to do so. [Pg.129]

Cardiac models are amongst the most advanced in silico tools for bio-med-icine, and the above scenario is bound to become reality rather sooner than later. Both cellular and whole organ models have aheady matured to a level where they have started to possess predictive power. We will now address some aspects of single cell model development (the cars ), and then look at how virtual cells interact to simulate the spreading wave of electrical excitation in anatomically representative, virtual hearts (the traffic ). [Pg.135]

Habermann, R. (1976) Mathematical Models Mechanical Vibration, Population Dynamics and Traffic Flow, Prentice-Hall. [Pg.270]

Ferrying of molecules into cells via entry through caveolae may represent a way to traffic specifically cytotoxic molecules to specific action sites. For example, elevating the intracellular level of the sphingolipid ceramide is known to exert antimitogenic and proapoptotic effects. While ceramide is cell-permeable and displays antiapoptotic properties in vitro, systemic in vivo use of ceramide is hampered by its hydrophobicity. Using a C6-ceramide formulation in pegylated liposomes was shown to elicit a sixfold reduction in solid phase tumors, when compared to unloaded liposomes in a mouse model of breast adenocarcinoma [68],... [Pg.607]


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See also in sourсe #XX -- [ Pg.304 ]




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