2022
DOI: 10.12700/aph.19.3.2022.3.6
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Investigation of Tramway Line No. 1, in Budapest, Based on Dynamic Measurements

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Cited by 12 publications
(7 citation statements)
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“…The through-rolled axle tonnage is the mass of all crossing vehicles on a given line in one direction in one year. It is determined by multiplying the total number of crossing vehicles on the line and the average of the T0 loading (serviceable vehicle without crew and passenger) and T3 loading (serviceable vehicle with staff and maximum passenger capacity) [71][72][73][74][75]. Based on these, four traffic load classes can be differentiated (Table 1).…”
Section: Traffic Load and Agementioning
confidence: 99%
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“…The through-rolled axle tonnage is the mass of all crossing vehicles on a given line in one direction in one year. It is determined by multiplying the total number of crossing vehicles on the line and the average of the T0 loading (serviceable vehicle without crew and passenger) and T3 loading (serviceable vehicle with staff and maximum passenger capacity) [71][72][73][74][75]. Based on these, four traffic load classes can be differentiated (Table 1).…”
Section: Traffic Load and Agementioning
confidence: 99%
“…The TrackScan 4.01 instrument is applied to measure the geometrical characteristics of tramway tracks (Figure 9). This instrument has been developed by the Hungarian company called Metalelektro Méréstechnika Ltd. [73][74][75]. This instrument is a complex track-measuring device that records the parameters every 25 centimeters and is suitable for continuous measurement of railway and tramway tracks.…”
Section: Geometrical Measurements and Examined Parametersmentioning
confidence: 99%
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“…It should also be noted that the latest development of infor mation technologies and artificial intelligence allows the use of innovative tools to solve both classic and modern transport problems and tasks. Some of the most popular techniques used by scientists include: agentbased modeling and goal program ming [22,23]; a hybrid system for strategic planning, which integrates mathematical models with knowledge principles [9]; covariance analysis, discrete choice and latent class analysis [17,19]; tabu search heuristics [11]; deep and machine learning [8,[14][15][16]; mechanisms of fuzzy logic and simulated anneal ing [12]; methods based on the data of navigation services [21]; exploratory factor analysis [5]; innovative combination of intu itionistic fuzzy numbers with graphtheoretic and matrix ap proach [6]; models of commoditybased freight demand based on exogenous economic forecasts [24] and economics of trans action costs [8]; the theory of time windows [7], dynamic mea surements [25], digital image correlation method [26] and the Bayesian approach for model estimation [27,28].…”
mentioning
confidence: 99%