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Enhancements to the Intelligent Driver Model
Linköping University, The Institute of Technology. Linköping University, Department of Science and Technology, Communications and Transport Systems. (Trafiksystem)ORCID iD: 0000-0002-0336-6943
Linköping University, The Institute of Technology. Linköping University, Department of Science and Technology, Communications and Transport Systems. (Trafiksystem)ORCID iD: 0000-0001-9635-5233
2010 (English)In: TRB 89th annual meeting Compendium of Papers DVD, Washington D.C.: Transportation Research Board , 2010Conference paper, Published paper (Other academic)
Abstract [en]

This paper presents a modified version of the Intelligent Driver Model (IDM) [M. Treiber, A. Hennecke, and D. Helbing, Phys. Rev. E. 62, 2 (2000)]. The IDM is a car-following model. A car-following model controls the accelerations of individual vehicles in a microscopic traffic simulation model. The original IDM has been observed to result in negative vehicle accelerations in situations where the distance to the preceding vehicle is much larger than the estimated desired safety distance. In this paper, we propose a modified function for the interaction with preceding vehicles which do not include this model property. A comparison of the results of simulations with the original and the modified IDM shows that the modified IDM results in higher average speed for a specific flow, a less steep speed-flow relationship and higher capacity. The speed-flow relationships of simulations with the modified IDM are also shown to better match the speed-flow relationships in real traffic on Swedish freeways. The differences between the results for the original and the modified IDM increase if the models are extended to include drivers' anticipation of the downstream traffic condition.

Place, publisher, year, edition, pages
Washington D.C.: Transportation Research Board , 2010.
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:liu:diva-17452OAI: oai:DiVA.org:liu-17452DiVA: diva2:209516
Conference
Transportation Research Board 89th Annual Meeting
Available from: 2009-03-25 Created: 2009-03-25 Last updated: 2014-11-28
In thesis
1. Simulation of Surrounding Vehicles in Driving Simulators
Open this publication in new window or tab >>Simulation of Surrounding Vehicles in Driving Simulators
2009 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

Driving simulators and microscopic traffic simulation are important tools for making evaluations of driving and traffic. A driving simulator is de-signed to imitate real driving and is used to conduct experiments on driver behavior. Traffic simulation is commonly used to evaluate the quality of service of different infrastructure designs. This thesis considers a different application of traffic simulation, namely the simulation of surrounding vehicles in driving simulators.

The surrounding traffic is one of several factors that influence a driver's mental load and ability to drive a vehicle. The representation of the surrounding vehicles in a driving simulator plays an important role in the striving to create an illusion of real driving. If the illusion of real driving is not good enough, there is an risk that drivers will behave differently than in real world driving, implying that the results and conclusions reached from simulations may not be transferable to real driving.

This thesis has two main objectives. The first objective is to develop a model for generating and simulating autonomous surrounding vehicles in a driving simulator. The approach used by the model developed is to only simulate the closest area of the driving simulator vehicle. This area is divided into one inner region and two outer regions. Vehicles in the inner region are simulated according to a microscopic model which includes sub-models for driving behavior, while vehicles in the outer regions are updated according to a less time-consuming mesoscopic model.

The second objective is to develop an algorithm for combining autonomous vehicles and controlled events. Driving simulators are often used to study situations that rarely occur in the real traffic system. In order to create the same situations for each subject, the behavior of the surrounding vehicles has traditionally been strictly controlled. This often leads to less realistic surrounding traffic. The algorithm developed makes it possible to use autonomous traffic between the predefined controlled situations, and thereby get both realistic traffc and controlled events. The model and the algorithm developed have been implemented and tested in the VTI driving simulator with promising results.

Place, publisher, year, edition, pages
Linköping: Linköping University Electronic Press, 2009. 65 p.
Series
Linköping Studies in Science and Technology. Dissertations, ISSN 0345-7524 ; 1248
National Category
Engineering and Technology
Identifiers
urn:nbn:se:liu:diva-17453 (URN)978-91-7393-660-6 (ISBN)
Public defence
2009-04-24, K3, Kåkenhus, Campus Norrköping, Linköpings universitet, Norrköping, 13:15 (English)
Opponent
Supervisors
Available from: 2009-03-25 Created: 2009-03-25 Last updated: 2013-09-13Bibliographically approved

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Olstam, JohanTapani, Andreas

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