222,628 research outputs found
A Simulation Study of Path and Speed Through Double-Lane Roundabouts
This study assessed the effects of geometric curvature and lane demarcation on drivers’ selection of path and speed in double-lane roundabouts. By means of a PC-based simulator, path and speed data were collected as subjects drove twice through six roundabouts. The six roundabouts varied in terms of pavement markings and geometric curvature on the entry and exit. Seventy-five participants were tested using a fixed-base driving simulator. The results showed that drivers maintained lane position better when the roundabouts had lane demarcation than when the roundabouts had no lane demarcation. Furthermore, lane-tracking behavior for participants exposed to roundabouts with pavement markings was similar to lane-tracking behavior observed in a recent field study. Observations of speed indicated that drivers drove faster though roundabouts with a large central island radius as opposed to a roundabout with a smaller central island radiu
A Simulation Study of Path and Speed Through Double-Lane Roundabouts
This study assessed the effects of geometric curvature and lane demarcation on drivers’ selection of path and speed in double-lane roundabouts. By means of a PC-based simulator, path and speed data were collected as subjects drove twice through six roundabouts. The six roundabouts varied in terms of pavement markings and geometric curvature on the entry and exit. Seventy-five participants were tested using a fixed-base driving simulator. The results showed that drivers maintained lane position better when the roundabouts had lane demarcation than when the roundabouts had no lane demarcation. Furthermore, lane-tracking behavior for participants exposed to roundabouts with pavement markings was similar to lane-tracking behavior observed in a recent field study. Observations of speed indicated that drivers drove faster though roundabouts with a large central island radius as opposed to a roundabout with a smaller central island radiu
Driver’s Lane Selection Model Based on Phase-Field Coupling and Multiplayer Dynamic Game with Incomplete Information
Intelligent driving is an effective means to achieve the active safety of automobile, and the accurate prediction of vehicle group situation is the premise to achieve the intelligent driving of vehicle. Lane selection and lane changing are not only the most fundamental reasons for the transformation of vehicle group situation, but also the basic contents for the research on driver behavior of traffic flow theory. In this paper, with a view to the background of Internet of Things, the vehicle group situation was given a comprehensive consideration on the basis of the factors which influence driver’s behavior. The driver’s lane selection behavior was analyzed under the condition of incomplete information, and lane selection model based on phase-field coupling and multiplayer dynamic game with incomplete information was constructed considering the time-varying character of driving propensity. The means of actual driving experiment, virtual driving experiment, and microscopic simulation of traffic flow were used to verify the model. The verification results showed that the model built in this paper can objectively reflect the actual operation characteristic of traffic flow on road section and the process of lane selection. The theoretical basis of the research on lane selection can be provided for intelligent driving especially anthropomorphic driving under the condition of Internet of Things.
Document type: Articl
Traffic flow modeling and forecasting using cellular automata and neural networks : a thesis presented in partial fulfillment of the requirements for the degree of Master of Science in Computer Science at Massey University, Palmerston North, New Zealand
In This thesis fine grids are adopted in Cellular Automata (CA) models. The fine-grid models are able to describe traffic flow in detail allowing position, speed, acceleration and deceleration of vehicles simulated in a more realistic way. For urban straight roads, two types of traffic flow, free and car-following flow, have been simulated. A novel five-stage speed-changing CA model is developed to describe free flow. The 1.5-second headway, based on field data, is used to simulate car-following processes, which corrects the headway of 1 second used in all previous CA models. Novel and realistic CA models, based on the Normal Acceptable Space (NAS) method, are proposed to systematically simulate driver behaviour and interactions between drivers to enter single-lane Two-Way Stop-Controlled (TWSC) intersections and roundabouts. The NAS method is based on the two following Gaussian distributions. Distribution of space required for all drivers to enter intersections or roundabouts is assumed to follow a Gaussian distribution, which corresponds to heterogeneity of driver behaviour. While distribution of space required for a single driver to enter an intersection or roundabout is assumed to follow another Gaussian distribution, which corresponds to inconsistency of driver behavior. The effects of passing lanes on single-lane highway traffic are investigated using fine grids CA. Vehicles entering, exiting from and changing lanes on passing lane sections are discussed in detail. In addition, a Genetic Algorithm-based Neural Network (GANN) method is proposed to predict Short-term Traffic Flow (STF) in urban networks, which is expected to be helpful for traffic control. Prediction accuracy and generalization ability of NN are improved by optimizing the number of neurons in the hidden layer and connection weights of NN using genetic operations such as selection, crossover and mutation
KEDUDUKAN DAN PERANAN ARJUNA DALAM LAKON-LAKON WAYANG PURWA SURAKARTA
Abstract: In ancient time Arjuna was one of the Wayang Purwa’s dramatic characters that were loved by a greater part of Javanese people. The selection of this character was based on his attitude, behavior, and profile, which was appropriate as a model. Setting Arjuna a model may be seen in his role when he interacts with other characters in his position as a son, student, head of a family, brother, friend, and as a member of world society. Arjuna’s role in each of those positions is interconnected and integrative in establishing the main Arjuna’s role as a Brahim knight. As a Wisnu’s avatar, Arjuna’s role is to preserve peace, order and world balance. In performing his role, Arjuna observes the motto ‘sticking on pure heart under the umbrella of true spirit’. I order to follow this motto ; he always bears heneng (prudence), hening ( calm), hawas ( careful ), lane ling ( remember ) so that his action is always on the just and right tract, which is illuminated by the light of holly spirit
Decision-Making for Automated Vehicles Using a Hierarchical Behavior-Based Arbitration Scheme
Behavior planning and decision-making are some of the biggest challenges for
highly automated systems. A fully automated vehicle (AV) is confronted with
numerous tactical and strategical choices. Most state-of-the-art AV platforms
implement tactical and strategical behavior generation using finite state
machines. However, these usually result in poor explainability, maintainability
and scalability. Research in robotics has raised many architectures to mitigate
these problems, most interestingly behavior-based systems and hybrid
derivatives. Inspired by these approaches, we propose a hierarchical
behavior-based architecture for tactical and strategical behavior generation in
automated driving. It is a generalizing and scalable decision-making framework,
utilizing modular behavior blocks to compose more complex behaviors in a
bottom-up approach. The system is capable of combining a variety of scenario-
and methodology-specific solutions, like POMDPs, RRT* or learning-based
behavior, into one understandable and traceable architecture. We extend the
hierarchical behavior-based arbitration concept to address scenarios where
multiple behavior options are applicable but have no clear priority against
each other. Then, we formulate the behavior generation stack for automated
driving in urban and highway environments, incorporating parking and emergency
behaviors as well. Finally, we illustrate our design in an explanatory
evaluation
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