Modified Intelligent Driver Model

Derbel, Oussama; Péter, Tamás; Zebiri, Hossni; Mourllion, Benjamin; Basset, Michel

doi:10.3311/pp.tr.2012-2.02

Cited by 17 publications

(10 citation statements)

References 3 publications

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“…For each vehicle, the position-based movements are defined by the following differential equation system for the 1., 2., ..., n. members of the vehicle group. According to the proposals in the works of [2,3]: The IDM model is used for modeling continuous traffic flows in simulations of highway and city traffic. As a vehicle tracking model, IDM describes the dynamics of the position and speed of each vehicle.…”

Section: The Idm Model and Its Traffic-related Applicationsmentioning

confidence: 99%

“…The works of [2,3] developed a proposal for a more accurate operation of the IDM model and studied possible modifications to IDM, taking into account driver's safety and the real capabilities of the vehicle. As a result of this amendment, the driver has to take into account the behavior of the following vehicles, and thus a modified IDM model has been developed and tested with a microscopic simulator considering string stabilization.…”

Section: The Idm Model and Its Traffic-related Applicationsmentioning

confidence: 99%

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Vehicle Dynamic-based Approach for the Optimization of Traffic Parameters of the Intelligent Driver Model (IDM) and for the Support of Autonomous Vehicles’ Driving Ability

2019

APH

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The research identifies the dynamical parameters in the area of mechanics within the base of traffic model parameters used by the Intelligent Driver Model (IDM), which are the highest acceleration parameters set by the vehicle, the desired speed parameters of the vehicle and the distance-keeping parameters of the vehicle. All this facilitates the automatic control of autonomous electric vehicles in certain vehicle groups.

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Section: The Idm Model and Its Traffic-related Applicationsmentioning

confidence: 99%

Section: The Idm Model and Its Traffic-related Applicationsmentioning

confidence: 99%

Vehicle Dynamic-based Approach for the Optimization of Traffic Parameters of the Intelligent Driver Model (IDM) and for the Support of Autonomous Vehicles’ Driving Ability

2019

APH

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“…The movement is performed on a line, which is a given lane. We have dealt with the further generalization of the model in Derbel et al (2012bDerbel et al ( , 2013.…”

Section: The Simulation Modelmentioning

confidence: 99%

“…This interaction is modelled by differential equations as done by Bando et al (1998), Helbing and Tilch (1998), Treiber et al (2000b), Molina (2005), Ge et al (2008), Kesting (2008), Rakha and Gao (2010). For interested readers, a general overview of microscopic traffic models is presented by Derbel et al (2012aDerbel et al ( , 2012b.…”

Section: Introductionmentioning

confidence: 99%

Generalized velocity–density model based on microscopic traffic simulation

et al. 2017

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In case of the Intelligent Driver Model (IDM) the actual Velocity-Density law V(D) applied by this dynamic system is not defined, only the dynamic behaviour of the vehicles/drivers is determined. Therefore, the logical question is whether the related investigations enhance an existing and known law or reveal a new connection. Specifically, which function class/type is enhanced by the IDM? The publication presents a model analysis, the goal of which was the exploration of a feature of the IDM, which, as yet, 'remained hidden' . The theoretical model results are useful, this analysis important in the practice in the field of hybrid control as well. The transfer of the IDM groups through large-scale networks has special practical significance. For example, in convoys, groups of special vehicle, safety measures with delegations. In this case, the large-scale network traffic characteristics and the IDM traffic characteristics should be taken into account simultaneously. Important characteristics are the speed-density laws. In case of effective modelling of large networks macroscopic models are used, however the IDMs are microscopic. With careful modelling, we cannot be in contradiction with the application of speed-density law, where there IDM convoy passes. Therefore, in terms of practical applications, it is important to recognize what kind of speed-density law is applied by the IDM convoys in traffic. Therefore, in our case the goal was not the validation of the model, but the exploration of a further feature of the validated model. The separate validation of the model was not necessary, since many validated applications for this model have been demonstrated in practice. In our calculations, also the applied model parameter values remained in the range of the model parameters used in the literature. This paper presents a new approach for Velocity-Density Model (VDM) synthesis. It consists in modelling separately each of the density and the velocity (macroscopic parameter). From this study, safety time headway (microscopic parameter) can be identified from macroscopic data by mean of interpolation method in the developed map of velocity-density. By combining the density and the velocity models, a generalized new VDM is developed. It is shown that from this one, some literature VDMs, as well as their properties, can be derived by fixing some of its parameters.

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“…Besides, Treiber and Kesting give proposed parameter values for the case of urban traffic in [10]. In the last year S. Yang calibrated the parameters of the IDM for the case of a signalized intersection [15]. He studied the motion of the IDM vehicles after the signal changed to green, and optimized the IDM parameter values so as to minimize the difference between the simulated and measured trajectories values of four observed vehicles (from the second to the 5 th ).…”

Section: Introductionmentioning

confidence: 99%

Parameters of the intelligent driver model in signalized intersections

et al. 2016

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Original scientific paper In the present paper the constant parameters of the (car following) Intelligent Driver Model are calibrated so as to obtain correct flow capacities of a signalized intersection. The calibration is based on measured time-headway parameters of the consecutive vehicles. The measurement data were taken from the work published by Dey et al. The parameters were calibrated partly by numeric calculations and partly by computer simulation, which was developed by the authors of this paper. The simulated environment was a single lane road terminated by a signalized intersection with a queue of stopped cars. As the result of the calibration, the model produced the measured saturated time-headway constant in the stationary flow phase and gave a good approximation of the consecutive time-headways in the initial transient phase. It was found that the calibrated constants of the Intelligent Driver Model considerably differ from the values proposed for modelling traffic on motorways: in a signalized intersection situation higher maximal acceleration and lower safe time gap parameters should be applied. More precisely, the differences are about 30 % in each case. Keywords: Intelligent Driver Model; signalized intersection; traffic simulation Parametri modela inteligentnog vozača u signaliziranim križanjimaIzvorni znanstveni članka U ovom su radu kalibrirani nepromjenjivi parametri Modela inteligentnog vozača (auta koji slijedi) kako bi se dobila točna propusna moć signaliziranog križanja. Kalibriranje se zasniva na izmjerenim parametrima intervala između dvaju vozila u nizu. Podaci mjerenja su uzeti iz rada u izdanju Dey et al. Parametri su kalibrirani djelomično numeričkim kalkulacijama i djelomično računalnom simulacijom, koju su razvili autori ovoga rada. Simulirano okruženje bila je traka koja je završavala signaliziranim križanjem s redom zaustavljenih vozila. Kao rezultat kalibriranja, model je davao izmjerenu konstantu zasićenja između dvaju vozila u nizu u fazi saobraćaja u mirovanju te je dao dobru aproksimaciju vremena između dvaju vozila u nizu u početnoj prolaznoj fazi. Ustanovljeno je da se kalibrirane konstante Modela inteligentnog vozača znatno razlikuju od vrijednosti predloženih za modeliranje prometa na autocestama: kad se radi o signaliziranim križanjima trebalo bi primijeniti parametre većeg maksimalnog ubrzanja i manjeg intervala sigurnog slijeda između dvaju vozila. Točnije, postoje razlike od oko 30 % u svakom slučaju. Ključne riječi:Model inteligentnog vozača; signalizirano križanje; simulacija prometa

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Modified Intelligent Driver Model

Cited by 17 publications

References 3 publications

Vehicle Dynamic-based Approach for the Optimization of Traffic Parameters of the Intelligent Driver Model (IDM) and for the Support of Autonomous Vehicles’ Driving Ability

Vehicle Dynamic-based Approach for the Optimization of Traffic Parameters of the Intelligent Driver Model (IDM) and for the Support of Autonomous Vehicles’ Driving Ability

Generalized velocity–density model based on microscopic traffic simulation

Parameters of the intelligent driver model in signalized intersections

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