Within the automotive industry model-based specification techniques are the basis for the definition of seamless design processes allowing the complete, the consistent, and the unambiguous specification of software and hardware parts of car specific networks of control units. For a successful application, those modeling approaches have to give methodical support for adequately capturing the arc...

The car following model is a key element in driver behavior modeling. A PD controller car-following model is a popular and realistic model. A big problem met in designing driver behavior models is the absence of reliable data from the real traffic. However, experiments using an instrumented vehicle driven in the real world supplied the radar tracking data. This paper first analyzes the desired ...

Driver behavior plays an important role in modeling vehicle dynamics in a traffic simulation environment. To study one element of the general driver behavior, that of car following, an advanced instrumented vehicle has been applied in dynamic data collection in real traffic flow on Swedish roads. This paper briefly introduces our car following data collection and smoothing methods. Moreover, we...

this paper aims to investigate a new and intricate behavior of immediate follower during the lane change of leader vehicle. accordingly, the mentioned situation is a transient state in car following behavior during which the follower vehicle considerably deviates from conventional car following models for a limited time, which is a complex state including lateral and longitudinal movement simul...

This paper aims to investigate a new and intricate behavior of immediate follower during the lane change of leader vehicle. Accordingly, the mentioned situation is a transient state in car following behavior during which the follower vehicle considerably deviates from conventional car following models for a limited time, which is a complex state including lateral and longitudinal movement simul...

30 This paper attempts to showcase the benefits and merits of using artificial intelligence techniques 31 in transportation applications. The example we use in this paper is modeling of a car-following 32 trajectory data and comparing the machine learning approach to regression analysis. For the 33 machine learning approach, we use Neuro-Fuzzy Actor-Critic Reinforcement Learning 34 (NFACRL). We...

This paper presents a stochastic driver behavior modeling framework which takes into account both individual and general driving characteristics as one aggregate model. Patterns of individual driving styles are modeled using a Dirichlet process mixture model, as a non-parametric Bayesian approach which automatically selects the optimal number of model components to fit sparse observations of ea...

Four car-following models with artificial neural network (ANN) structure were developed with various input variables in the car-following behavior. A four-layer ANN structure was set up and a genetic algorithm (GA) and back-propagation methodology were utilized for determining the synaptic weights in the models, however the models sometimes had a difficulty in learning such enormous number of r...