Calibration of microsimulation traffic model using neural network approach

Otković, Irena Ištoka; Tollazzi, Toma; Šraml, Matjaž

doi:10.1016/j.eswa.2013.05.003

Cited by 55 publications

(21 citation statements)

References 13 publications

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“…Common applications of microscopic modeling of traffic are, among others, the study of signalized and unsignalized intersections (Stevanovic et al, 2013), roundabouts (Ištoka Otković et al, 2013), emission estimations (Jie et al, 2013), passing and climbing lanes (Valencia Alaix and García, 2010), or evaluation of intelligent transportation systems (ITS) and cooperative systems (Hegeman et al, 2009).…”

Section: Introductionmentioning

confidence: 99%

Development of a new microscopic passing maneuver model for two-lane rural roads

Llorca

Moreno

Lenorzer³

et al. 2015

Transportation Research Part C: Emerging Technologies

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a b s t r a c tMicrosimulation is a useful tool to analyze traffic operation. On two-lane highways, the complexity of passing and the interaction with oncoming traffic requires specific models. This study focused on the development of a passing desire, decision and execution model. Results of the observation of 1752 maneuvers on 10 rural roads in Spain were used for this development. The model incorporated the effect of new factors such as available sight distance, delay and remaining travel time until the end of the highway segment. Outputs of the model were compared to observed data: firstly, individual passing maneuvers; secondly, traffic flow, percent followers and number of passing maneuvers in four single passing zones with two different traffic levels. The model was validated in four alternative passing zones.

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Section: Introductionmentioning

confidence: 99%

Development of a new microscopic passing maneuver model for two-lane rural roads

Llorca

Moreno

Lenorzer³

et al. 2015

Transportation Research Part C: Emerging Technologies

View full text Add to dashboard Cite

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“…To predict the simulation values of observed traffic parameters using a neural network, it is necessary to create a database of VISSIM simulations from which the neural network will learn (train). Method I used Database I, which contains input data of various input parameters [5], and whose output indicator is traveling time between measurement points. Method II used Database II, which has three output indicators: the traveling time between measurement points, the maximum queue, and the number of vehicle stopping at the intersection entrance.…”

Section: Databases For Neural Network Trainingmentioning

confidence: 99%

“…Although some calibration methods are more (GA) or less (trial and error) successful for a variety of microsimulation models, the possibility of applying new calibration methods has been explored. We have previously applied neural networks in calibrating a microsimulation traffic model [5]. In the present paper, we analyzed the response of neural networks in calibrating a microsimulation model.…”

Section: Introductionmentioning

confidence: 99%

Analysis of Neural Network Responses in Calibration of Microsimulation Traffic Model

Otković

Varevac

Šraml

2015

e-GFOS

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Microsimulation models are frequently used in traffic analysis. Various optimization methods are used in calibration, and the one method that has shown success is neural networks. This paper shows the responses of neural networks during calibration of a microsimulation traffic model. We analyzed two calibration methods by applying neural networks and comparing their neural network learning (according to their achieved correlation and the mean error of prediction) and their generalization ability (comparison of generalization results was analyzed in two steps). The best correlation between the microsimulation results and neural network prediction was 88.3%, achieved for the traveling time prediction, on which the first calibration method is based.

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“…This calibration has inter alia enabled the analysis of efficiency parameters i.e. the time of travel and vehicle queuing length [21]. Therefore, when dimensioning and designing small-size roundabouts (D v ≤ 35 m) in restricted urban areas, a greater attention should be paid to the roundabout disposition and to the design of its elements (circular part of the roundabout and approaches) [22].…”

Section: Introductionmentioning

confidence: 99%

Study of vehicle speed in the design of roundabouts

2014

JCE

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Some roundabout design elements significantly influence the vehicle driving speed, i.e. the trajectory of vehicles at roundabouts, which is directly responsible for the level of service and traffic safety at roundabouts. An "in situ" speed, taken as a significant roundabout-design element, is analysed in the paper using as an example four urban single-lane roundabouts located in the City of Zagreb. The American method and the Australian method are used for the definition and verification of the design speed at roundabouts. Results obtained show correlation between the design speed and the actual vehicle speed measured at roundabouts. Key words: single-lane roundabout, urban area, dimensioning and design, vehicle movement trajectory, vehicle speed Prethodno priopćenje Hrvoje Pilko, Davor Brčić, Nikola Šubić Istraživanje brzine kretanja vozila pri projektiranju kružnih raskrižjaPojedini oblikovni elementi raskrižja s kružnim tokom prometa značajno utječu na brzinu kretanja vozila koja ima izravan utjecaj na razinu usluge i prometnu sigurnost raskrižja. U radu se kroz prikaz četiri urbana jednotračna kružna raskrižja grada Zagreba, analizira brzina in situ kao značajan element pri projektiranju kružnih raskrižja. Za definiranje i provjeru projektne brzine primijenjene su američka i australska metoda. Rezultati istraživanja dovode u korelaciju projektnu brzinu sa stvarno izmjerenom brzinom vozila na kružnom raskrižju. Ključne riječi: jednotračno kružno raskrižje, urbana sredina, oblikovanje i projektiranje, trajektorija provoženja vozila, brzina kretanja vozila, sigurnost prometa Vorherige Mitteilung Hrvoje Pilko, Davor Brčić, Nikola Šubić Untersuchung der Fahrzeuggeschwindigkeit beim Entwurf von Kreisverkehrsplätzen Einzelne Elemente der Gestaltung von Kreuzungen mit Kreisverkehr beeinflussen bedeutsam die Fahrzeuggeschwindigkeit, bzw. den Fahrweg innerhalb des Kreisverkehrs, und haben eine direkte Einwirkung auf das Leistungsniveau und die Sicherheit der Kreuzung. In dieser Arbeit ist, mittels vier städtischer einspuriger Kreisverkehrsplätze in der Stadt Zagreb, die Geschwindigkeit "in-situ" als wichtiges Element im Entwurf analysiert. Die Berechnungsgeschwindigkeit im Kreisverkehr ist gemäß der amerikanischen und der australischen Methode berechnet. Die Resultate der Untersuchungen führen zur Korrelation dieser Berechnungswerte mit den gemessenen Geschwindigkeiten. Schlüsselwörter: einspuriger Kreisverkehr, städtisches Umfeld, Gestaltung und Entwurf, Fahrweg, Fahrzeuggeschwindigkeit Građevinar 5/2014 408 GRAĐEVINAR 66 (2014) 5, 407-416 Hrvoje Pilko, Davor Brčić, Nikola Šubić

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Calibration of microsimulation traffic model using neural network approach

Cited by 55 publications

References 13 publications

Development of a new microscopic passing maneuver model for two-lane rural roads

Development of a new microscopic passing maneuver model for two-lane rural roads

Analysis of Neural Network Responses in Calibration of Microsimulation Traffic Model

Study of vehicle speed in the design of roundabouts

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