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Car-following and lane-changing models are important for traffic flow study. Some parameters in existing models are believed to be related to driver's characteristics, such as experience, age, personality, and culture. This paper conducted an experimental study to measure some key parameters of six typical driver groups characterized by their experience and attitude towards risks. Based on the measured...
Aiming at establishing a hybrid Microscopic-Mesoscopic bicycle flow model, which could perform micro-meso features and simulate large scale network. The factual field data were collected and the real micro and meso features were analyzed firstly, a micro CA model which fully detailed the individual characteristic, was established by the micro features and desired-speed distribution. Then the bicycle...
Management of traffic incident is an essential part of emergency management. Impact analysis of incident becomes more and more important in the operation of Intelligent Traffic System. This paper uses flow data collected from loop detectors to analyze the impact of incident in urban traffic system. A complex network model using correlation coefficient as the edge weight is constructed. Then, the random...
Vehicle is a basic element in the road traffic system. Vehicle's movement depends on driver's driving characteristics and driving behaviors. This paper introduced agent theory/technology and ACT-R cognitive behaviors into microscopic traffic simulation. At first, descript agent's properties, structures and its application in traffic simulation, analyzed the structures of ACT-R and driver's cognitive...
Traffic flow models had become an important tool for modeling the operations of dynamic traffic systems. Different traffic flow model had its advantage and disadvantage. While microscopic simulation models provided a more detailed representation of the traffic process, were macroscopic and mesoscopic models able to simulate traffic dynamic of large networks in lesser detail, but without the problems...
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