Results 31 to 40 of about 11,974,013 (294)
A generative car-following model conditioned on driving styles
Car-following (CF) modeling, an essential component in simulating human CF behaviors, has attracted increasing research interest in the past decades. This paper pushes the state of the art by proposing a novel generative hybrid CF model, which achieves high accuracy in characterizing dynamic human CF behaviors and is able to generate realistic human CF
Yifan Zhang +4 more
openaire +4 more sources
Individual variable speed limit trajectory planning considering stochastic arriving patterns
Connected vehicles enabled by communication technologies have the potential to improve traffic mobility and enhance roadway safety such that traffic information can be shared among vehicles and infrastructure. Fruitful speed advisory strategies have been
Qianwen Li, Handong Yao
doaj +1 more source
A Car-Following Data Collecting Method Based on Binocular Stereo Vision
This study proposes the design, implementation, and application of a new car-following data collecting method based on binocular stereo vision system.
Yongfei Liu +3 more
doaj +1 more source
A Model of Car-Following Behavior at Sags
Sags are bottlenecks in freeway networks. The main reason is that the increase in slope has a negative effect on vehicle acceleration, which results in local changes in car-following behavior that reduce traffic flow capacity. Existing car-following models are not able to reproduce the acceleration behavior of drivers at sags and the resulting traffic ...
Goni Ros, B. (author) +4 more
openaire +3 more sources
Near-Collision Dynamics in a Noisy Car-Following Model
We consider a small stochastic perturbation of an optimal velocity car-following model. We give a detailed analysis of behavior near the collision singularity. We show that collision is impossible in a simplified model without noise, and then we show that collision is asymptotically unlikely over large time intervals in presence of small noise, with ...
Hossein Nick Zinat Matin +1 more
openaire +4 more sources
Calibrating Car-Following Models Using SUMO-in-the-Loop and Vehicle Trajectories From Roadside Radar
This paper presents an innovative calibration method for car-following (CF) models in the Simulation of Urban MObility (SUMO) using real-world trajectory data from a 1.5 km signalized urban corridor, captured by roadside radars.
Maxwell Schrader +3 more
doaj +1 more source
Data-driven car-following modeling is of great significance to traffic behavior analysis and the development of connected automated vehicle (CAV) technology. The existing researches focus on reproducing the car-following process by capturing the behavior
Wenqi Lu +4 more
doaj +1 more source
Instabilities in car following and multi-anticipative car following models
Abstract Microscopic models of traffic depend on how the dynamics of one vehicle following another is considered. Such models play a key role in design, optimisation, performance and control of transportation networks. Based on how these models are constructed, instabilities in traffic are observed, which may be observed in real life ...
Ranganatha Belagumba Ramachandra +2 more
openaire +1 more source
Adaptive Car Following Model [PDF]
Abstract The vehicle dynamics was a very lot developed in the last twenty years. There is a huge gap in the different vehicle models in this field. Researchers need accurate the car following models because of it. There are several mathematical model, which describe the dynamics and the motion of individual vehicles. This models based
openaire +2 more sources
The scripts provided in this dataset are used to process and analyse the data from the SAE-L2 platoontest day. They are part of the performed analysis in the report: "Representing the Car-Following Behaviour of Adaptive Cruise Control (ACC) Systems Using
Blauw, M.H. (Mathieu)
core +1 more source

