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...

A number of different types of car-following models have been developed and continuously refined up to the present time, with various different approaches of describing a relationship between the leader and the following vehicles. However, current car-following models are “memoryless” in the sense that the current state (which consists of instantaneous relative spacings and time-derivatives the...

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 ...

car-following models are among the most important components of micro traffic flow simulation which is studiedby transportation experts to evaluate new applications of intelligent transportation systems. until now, several carfollowingmodels have been proposed. an obvious disadvantage of the former models is the great number of parameterswhich are difficult to calibrate. in this paper, a car-fo...

Car-following models are among the most important components of micro traffic flow simulation which is studiedby transportation experts to evaluate new applications of intelligent transportation systems. Until now, several carfollowingmodels have been proposed. An obvious disadvantage of the former models is the great number of parameterswhich are difficult to calibrate. In th...

Car following process is time-varying in essence, due to the involvement of human actions. This paper develops an adaptive technique for car following modeling in a traffic flow. The proposed technique includes an online fuzzy neural network (OFNN) which is able to adapt its rule-consequent parameters to the time-varying processes. The proposed OFNN is first trained by an growing binary tree le...