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…
Contents
1 Introduction
2 Traffic simulation
2.1 Classification of traffic simulation models
2.2 Microscopic traffic simulation
2.3 Behavioral model survey
2.3.1 Car-following models
2.3.2 Lane-changing models
2.3.3 Overtaking models
2.3.4 Speed adaptation models
3 Surrounding vehicles in driving simulators
3.1 Driving simulator experiments
3.1.1 Scenarios, events and experimental designs
3.1.2 Design issues
3.2 Differences compared to traditional applications of traffic simulation
3.3 Common modeling approaches
3.3.1 Rule based models
3.3.2 State machines
3.3.3 The eco-resolution principle
4 The present thesis
4.1 Objectives
4.2 Contributions
4.3 Delimitiations
4.4 Summary of papers
4.5 Future research
Bibliography
Author: Janson Olstam, Johan
Source: Linköping University
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