Abstract
The vehicle-following behavior is a self-organizing behavior that restores dynamic balance under the stimulation of external environmental factors. In fact, there are asymmetric problems in the process of acceleration and deceleration of drivers. The existing traditional models ignored the differences between acceleration and deceleration of vehicles. In order to solve this problem, the vehicles driving on the road are compared to interacting molecules. Vehicle-following characteristics are studied, and the molecular following model is established based on molecular dynamics. The model parameters under different conditions are calibrated considering the required safety distance by the vehicle and the reaction time of the driver. With the help of the vehicle running track graphs, speed, and acceleration graphs, the numerical simulations of the molecular following model and the classical optimal speed vehicle-following model are carried out. The results of the comparative analysis show that the acceleration in the process of acceleration and deceleration is not constant but more sensitive to the deceleration of the preceding vehicle than to the acceleration and more sensitive to the acceleration/deceleration of the short-distance vehicle than to the acceleration/deceleration of the long-distance vehicle. Therefore, the molecular following model can better describe the vehicle-following behavior, and the research results can provide a theoretical basis and a technical reference for the analysis of traffic flow dynamic characteristics and adaptive cruise control technology.
Highlights
Academic Editor: Shamsunnahar Yasmin e vehicle-following behavior is a self-organizing behavior that restores dynamic balance under the stimulation of external environmental factors
With the help of the vehicle running track graphs, speed, and acceleration graphs, the numerical simulations of the molecular following model and the classical optimal speed vehicle-following model are carried out. e results of the comparative analysis show that the acceleration in the process of acceleration and deceleration is not constant but more sensitive to the deceleration of the preceding vehicle than to the acceleration and more sensitive to the acceleration/deceleration of the short-distance vehicle than to the acceleration/deceleration of the long-distance vehicle. erefore, the molecular following model can better describe the vehicle-following behavior, and the research results can provide a theoretical basis and a technical reference for the analysis of traffic flow dynamic characteristics and adaptive cruise control technology
Its input is the speed of the following vehicle, the relative speed of the two vehicles, and the vehicle distance at the current moment, and the output is the speed of the following vehicle at the moment. e evaluation index shows that the model has obtained good simulation results
Summary
Academic Editor: Shamsunnahar Yasmin e vehicle-following behavior is a self-organizing behavior that restores dynamic balance under the stimulation of external environmental factors. Vehicle-following characteristics are studied, and the molecular following model is established based on molecular dynamics. Erefore, the molecular following model can better describe the vehicle-following behavior, and the research results can provide a theoretical basis and a technical reference for the analysis of traffic flow dynamic characteristics and adaptive cruise control technology. Data-driven model: by extracting and calculating the measured data, a large number of high-precision and highquality vehicle trajectory data are fitted to establish a vehiclefollowing model. With the emergence of online traffic simulation technology, Wang established a vehicle-following model based on online support vector regression in [10]. Eoretically, the use of support vector regression to model the vehicle-following behavior is better, but the current research based on such models is still in its infancy, and there are not many relevant results. Eory-driven model: according to fuzzy theory, chaos theory, nonchaos theory, and other related theories of vehicle-following behavior, the vehicle-following models were established by using differential and dynamic knowledge
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