2020
DOI: 10.1016/j.trpro.2020.02.110
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Validation of the calibration methodology of the micro-simulation traffic model

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Cited by 17 publications
(18 citation statements)
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“…An analysis of the applicability of the model outside of the local urban traffic network conditions based on which the models are developed is carried out through validation of the model. The first validation was made for the urban traffic network of the city of Rijeka in Croatia, for which the earlier research has shown that driving dynamics and driver reaction times differ from the conditions in Osijek [41]. The second validation was made for a database from Enna in Italy.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…An analysis of the applicability of the model outside of the local urban traffic network conditions based on which the models are developed is carried out through validation of the model. The first validation was made for the urban traffic network of the city of Rijeka in Croatia, for which the earlier research has shown that driving dynamics and driver reaction times differ from the conditions in Osijek [41]. The second validation was made for a database from Enna in Italy.…”
Section: Discussionmentioning
confidence: 99%
“…While City of Rijeka is situated in very complex topographical conditions and has high inhabitation density (2900 inh/km 2 ), city of Osijek has very favorable location and inhabitation density of 640 inh/km 2 [40]. The fact influences also, as shown in previous research, the traffic operation and management [41]. Enna is a smaller city according to the number of inhabitants (around 30,000 inhabitants) and has a significantly different traffic system and habits.…”
Section: Models Validationmentioning
confidence: 92%
“…The output is, e.g., data about the capacity of the road or intersection [40], delays, queue lengths, average speeds, travel times (not only for vehicles but also for pedestrians [41]), etc. Sophisticated microsimulation tools (such as PTV VISSIM-see [10,13,[41][42][43][44][45][46][47], PTV VISWALK-see [15,29,48], AIMSUN-see [49][50][51][52], PARAMMICS-see [45,[53][54][55], etc.) enable the simulation of even more demanding tasks, such as analyses of the impact of traffic on the environment, noise studies, parking studies, simulation of toll gate operation, etc.…”
Section: About Traffic Modelling In Generalmentioning
confidence: 99%
“…The four categories are divided into traffic condition (congested vs. uncongested) and roadway condition (work zone vs. non-work zone). Many other authors have been dealing with the issue of microsimulation models for a long time, so it is not a matter of only the last few years [10,13,15,40,42,[45][46][47][49][50][51][52]54,[57][58][59][60], period from the end of the last century [43,55,61]. The issue of car-following models was dealt in the years 1953 by [62], 1978 by [44] and others (contemporary, e.g., [45,54,60]), and [48] proves that using microsimulation models can solve current topics; it uses the program PTV VISWALK to analyse the change in the behaviour of the pedestrian due to the COVID-19 pandemic (i.e., the need to keep the recommended 2 m distance between people limits the clusters of passengers waiting at public transport stops and thus limits the capacity of the transport structure).…”
Section: About Traffic Modelling In Generalmentioning
confidence: 99%
“…e aim was to analyse and determine the movement speed of children at signalized pedestrian crosswalks in specific local conditions of two cities with a very similar number of inhabitants but, considering the spatial location, with very different population and urban density, Rijeka and Osijek. Previously conducted studies [6] show that the parameters of the microsimulation model describing the driver behaviour differ significantly for traffic models that are calibrated for the traffic conditions in Rijeka from the ones calibrated for Osijek. Drivers in Rijeka, on average, drive more temperamentally, have a shorter reaction time, and enter risky situations more often than what the average indicators show for drivers in Osijek.…”
Section: Introductionmentioning
confidence: 99%