Results 261 to 270 of about 9,216,131 (297)
Some of the next articles are maybe not open access.
A Neural-Fuzzy Framework for Modeling Car-following Behavior
2006 IEEE International Conference on Systems, Man and Cybernetics, 2006A general framework is introduced to model driver behavior from real car-following data acquired on Swedish roads using an advanced instrumented vehicle. In early research, the data was classified into different car-following regimes based on fuzzy clustering methods and knowledge obtained from video analysis.
openaire +2 more sources
The night driving behavior in a car-following model
Physica A: Statistical Mechanics and its Applications, 2007In this paper, we have studied the night driving behaviors in the car-following model in periodic boundary conditions. The evolution of uniform traffic under both small and large perturbations is investigated. The simulations show that the traffic is always unstable when V' less than 0 with V the optimal velocity.
Rui Jiang, Qing-Song Wu
openaire +1 more source
The Research of the Car Following Behavior Model in VANET
Advanced Materials Research, 2014Based on the characteristics of the car-following model and analyzing from the angle of traffic engineering, this paper classifies car following models into four categories, that is, the stimulus-response model, the safe-distance model, the psychology-physiology model and the artificial intelligence model.
Jian Yao, Deng Pan Yang, Hao You Peng
openaire +1 more source
A MEASUREMENT AND DATA PROCESSING SYSTEM FOR CAR-FOLLOWING BEHAVIOR ANALYSIS
IFAC Proceedings Volumes, 1990Abstract This paper deals with a system which continuously measures speed, acceleration, and following distance of cars running on actual roads, and which processes the data measured. This system has been developed in order to analyze car-following behavior empirically.
H. Akahane, M. Koshi
openaire +1 more source
Identification and classification of state-action clusters of car-following behavior
17th International IEEE Conference on Intelligent Transportation Systems (ITSC), 2014This research effort aims to identify and classify state-action clusters of driver behavior. The methodology first segments and clusters car-following periods into clusters that identify a specific combination of state variables (speed, lane offset, yaw angle, range and range rate) and action variables (longitudinal acceleration, lateral acceleration ...
Bryan Higgs 0002, Montasir M. Abbas
openaire +2 more sources
A new car-following model with consideration of the prevision driving behavior
Communications in Nonlinear Science and Numerical Simulation, 2014zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Tong Zhou +4 more
openaire +3 more sources
Segmentation and Clustering of Car-Following Behavior: Recognition of Driving Patterns
IEEE Transactions on Intelligent Transportation Systems, 2015Driving behavior can be influenced by many factors that are not feasible to collect in driving behavior studies. The research presented in this paper investigates the characteristics of a wide range of driving behaviors linking driving states to the drivers' actions.
Bryan Higgs 0002, Montasir M. Abbas
openaire +1 more source
A Formal Approach for Modeling and Simulation of Human Car-Following Behavior
IEEE Transactions on Intelligent Transportation Systems, 2018Car-following is the activity of safely driving behind a leading vehicle. Traditional mathematical car-following models capture vehicle dynamics without considering human factors, such as driver distraction and the reaction delay. Consequently, the resultant model produces overly safe driving traces during simulation, which are unrealistic. Some recent
Jin Woo Ro +3 more
openaire +2 more sources
Scene-aware driver state understanding in car-following behaviors
2017 IEEE Intelligent Vehicles Symposium (IV), 2017This research represents the heterogeneity in car following by a hidden variable driver state, which could change due to the driver's habit, fatigue, distraction, influence of surrounding traffic etc, resulting in the heterogeneous behaviors of such as fast or slow, strong or weak response to the same level of stimuli.
Donghao Xu +4 more
openaire +1 more source