Calibration and validation of simulated vehicle safety performance at signalized intersections

Cunto, Flávio José Craveiro; Saccomanno, Frank

doi:10.1016/j.aap.2008.01.003

Cited by 219 publications

(125 citation statements)

References 5 publications

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“…Based on the results, all the four factors and only two interactions (Gi*Li and Exi*Si) were significant [15]). For each considered factor (x-axis: critical gap, Gi; length of reduced speed area, Li; position of desired exiting speed section, Exi; desired approach speed, Si), the average per cent error between simulated speed and observed speed along the through movement A-C (y-axis) was derived (the so-called main effects plot were used).…”

Section: Results and Analysesmentioning

confidence: 97%

Transport and traffic management by micro simulation models: operational use and performance of roundabouts

Praticò¹,

Vaiana²,

Gallelli³

2012

WIT Transactions on the Built Environment

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The performance of roundabouts can affect urban transport systems in terms of environmental and operational impacts, safety and efficiency. The development of roundabout traffic management and control systems can be carried out through road traffic micro-simulation models which are computer models where the movements of individual vehicles travelling around road networks are determined by using simple car following, lane changing and gap acceptance rules. Unfortunately, despite the great diffusion of these tools, appropriate methods are still needed in order to validate and calibrate these models. In general, the calibration process can be defined in this way: the process of comparing model parameters with real-world data to ensure that the model realistically represents the traffic environment. The objective is to minimize the discrepancy between model results and measurements or observations. The aim of this paper is the presentation of a first comparative approach between observed performances and performances obtained by the use of popular microsimulation software, in particular urban intersections such as roundabouts. In particular, an experimental investigation is designed and carried out in order to acquire some vehicular parameters for a roundabout placed in an urban contest of southern Italy. The calibration process is carried out by an analysis of variance of the kinematic parameters of an n-tuple of roundabout scenarios. This calibration procedure has permitted to derive some important conclusions about the choice of the most significant input parameters for the output results of each simulation scenario. Outcomes of this study are expected to benefit both practitioners and researchers.

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Section: Results and Analysesmentioning

confidence: 97%

Transport and traffic management by micro simulation models: operational use and performance of roundabouts

Praticò¹,

Vaiana²,

Gallelli³

2012

WIT Transactions on the Built Environment

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“…Many of these studies were based on statistical comparisons and utilized GAs to identify potential parameter sets [3,7,8,9,11]. In addition, many made use of ITS data, which are becoming more widely available.…”

Section: Methodsmentioning

confidence: 99%

“…Finally, two descriptive statistics (median and dispersion) and the maximum difference in the cumulative function were tested using nonparametric testing methods. Cunto et al [3] utilized a calibration procedure consisting of four steps. Their procedure included a heuristic selection of the initial model inputs; statistical screening using a Plackett-Burnman with factorial design; the development of a linear expression relating significant model inputs to safety performance (fractional factorial analysis); and the GA procedure to obtain best estimate model parameters.…”

Section: Methodsmentioning

confidence: 99%

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Calibration of microsimulation models of advance detection and warning systems at signalized intersections

Wojtal¹,

Rilett²

2017

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This paper presents a calibration and validation procedure for microsimulation models, which used metrics (mean, variance, and mean absolute percentage error) with statistical tests (t-test, Shapiro-Wilk, KolmogorovSmirnov and Wilcoxon), to compare empirical and simulated data. A genetic algorithm was used to identify calibration parameters set. The paper justifies the approach using VISSIM microsimulations to analyze two safety countermeasures: Advance Detection System and Advance Warning System, which can be applied at signalized intersection. The end result was a calibrated and validated model, which could be used to compare different safety countermeasures at rural signalized intersections in the state of Nebraska (USA). The proposed approach could be utilized in similar studies.Keywords: signalized intersection, safety countermeasures, calibration, validation, simulation model Streszczenie W artykule przedstawiono procedurę kalibracji i walidacji modeli mikrosymulacji z użyciem mierników (średnia, wariancja i średni bezwzględny błąd procentowy), oraz testów statystycznych (studenta, ShapiroWilka, Kolmogorow-Smirnova oraz Wilcoxona) dla porównania danych empirycznych i z symulacji. Algorytm genetyczny wykorzystano do doboru parametrów kalibracyjnych. Metodologia została sprawdzona w programie VISSIM do analizy dwóch systemów poprawy BRD: Systemu Wczesnej Detekcji i Wczesnego Ostrzegania, które stosuje się na skrzyżowaniach z sygnalizacją świetlną. W wyniku uzyskano skalibrowany i zweryfikowany model, który można użyć do porównania środków poprawy BRD na zamiejskich skrzyżowaniach z sygnalizacją w stanie Nebraska (USA). To podejście można wykorzystać w podobnych analizach.Słowa kluczowe: skrzyżowanie z sygnalizacją, środki poprawy brd, kalibracja, walidacja, model symulacyjny 124

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“…Moreover, Cunto and Saccomanno assumed that two times of Maximum Available Deceleration Rate (2*MADR) follows a truncated normal distribution with an average of 7.42 m/s 2 and standard deviation of 0.24 m/s 2 [28]. In another study the same authors assumed a normal truncated distribution with an average of 8.45 m/s 2 , standard deviation of 1.40 m/s 2 and the upper and lower limits of 12.68 m/s 2 and 4.23 m/s 2 , respectively for 2*MADR for small vehicles on dry pavements [29].…”

Section: Deceleration Rate To Avoid Collisionmentioning

confidence: 99%

Comparative Analysis of Safety Performance Indicators Based on Inductive Loop Detector Data

Mamdoohi

Zavareh

Hydén³

et al. 2014

PROMET

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Calibration and validation of simulated vehicle safety performance at signalized intersections

Cited by 219 publications

References 5 publications

Transport and traffic management by micro simulation models: operational use and performance of roundabouts

Transport and traffic management by micro simulation models: operational use and performance of roundabouts

Calibration of microsimulation models of advance detection and warning systems at signalized intersections

Comparative Analysis of Safety Performance Indicators Based on Inductive Loop Detector Data

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