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In recent years, due to growing interest in automated driving, the need for better understanding the humans driving behavior, and particularly the lane changing and car following behavior, has further increased. Despite its great importance, lane changing has not been studied as extensively as longitudinal behavior and remains one of the most challenging driving behavior maneuvers to understand and...
Eye tracking can reveal an individual's state of mind. In this paper, taking into consideration that cognitive distraction that may be expressed both serially and quantitatively, we designed the Driver's Cognitive Process Model by expressing the relationships between cognitive states, such as perception and memory, from eye tracking which we utilized as an input to the driving action which we considered...
One of the most challenging factors in the development of autonomous vehicles and advanced driver assistance systems is the imitation of an expert driver system which is the observer and interpreter of the technical system in the related driving scenario. In this paper, a multimodal adaptive driver assistance system is presented. The main goal is to determine the human driver's attention and authority...
A reasonable layout of the logistics distribution system can significantly reduce business operating costs and improve logistics system operating efficiency. The operation characteristics and physical resources of third-party logistics and distribution system focused in this article, the key parameters of the distribution system operation efficiently and stably get summarized. Through simulation and...
This paper proposes a probability weighted ARX (PrARX) model wherein the multiple ARX models are composed by the probabilistic weighting functions. As the probabilistic weighting function, a `softmax' function is introduced. Then, the parameter estimation problem for the proposed model is formulated as a single optimization problem. Furthermore, the identified PrARX model can be easily transformed...
In recent years, the development of highway is very rapid, which lead the highway management has become increasingly complex. Meanwhile, the datas related to highway management are growing geometrically. Facing these massive datas, we are often asked this question "how to use these datas fully and find useful knowledge for decision-making". With the development of data warehouse and on-line...
A stochastic simulation model using archived automatic vehicle location(AVL) and automatic passenger count (APC) data to simulate a fixed transit route service and test preventive bus operation control strategies against unreliability was developed. In this model, the bus operation and passenger demand were simulated based on AVL and APC data, and the decision-making process of preventive strategies...
This paper proposes a probability weighted ARX (PrARX) model wherein the multiple ARX models are composed by the probabilistic weighting functions. As the probabilistic weighting function, a `softmax' function is introduced. Then, the parameter estimation problem for the proposed model is formulated as a single optimization problem. Furthermore, the identified PrARX model can be easily transformed...
Transportation management and planning has played an important role in urban planning. The paper discusses the success of using virtual reality (VR) technique in traffic simulation to communicate design alternatives to decision makers and public audiences and thus to support the decision making process. The study documents the application of VISSIM, a microscopic simulation model, VR4MAX, an interactive...
An emerging trend among automobile manufacturers is to introduce wireless technology in the vehicles. By allowing wireless communication, real-time information exchange between vehicles as well as between infrastructure and vehicles becomes a reality. This communication allows for road condition reporting, decision making, and remote diagnostics and firmware updates over-the-air, creating a complex...
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