Results 51 to 60 of about 9,744,661 (308)

Longitudinal Dynamic versus Kinematic Models for Car-Following Control Using Deep Reinforcement Learning

open access: yes, 2019
The majority of current studies on autonomous vehicle control via deep reinforcement learning (DRL) utilize point-mass kinematic models, neglecting vehicle dynamics which includes acceleration delay and acceleration command dynamics.
Azad, Nasser L., Lin, Yuan, McPhee, John
core   +1 more source

Radar/Lidar Sensor Fusion for Car-Following on Highways [PDF]

open access: yes, 2011
We present a real-time algorithm which enables an autonomous car to comfortably follow other cars at various speeds while keeping a safe distance. We focus on highway scenarios. A velocity and distance regulation approach is presented that depends on the
Ganjineh, Tinosch   +3 more
core   +1 more source

Identifying suitable car-following models to simulate automated vehicles on highways

open access: yesInternational Journal of Transportation Science and Technology, 2023
This study addresses car-following models that are currently used for simulating AV and CAV. Diverse car-following models, Intelligent Driver Model (IDM), Improved IDM (IIDM), IIDM with Constant-Acceleration Heuristic (CAH), and MIcroscopic model for ...
Bumsik Kim, Kevin P. Heaslip
doaj   +1 more source

Probabilistic Traffic Flow Breakdown in Stochastic Car Following Models [PDF]

open access: yes, 2005
There is discussion if traffic displays spontaneous breakdown. This paper presents computational evidence that stochastic car following models can have a control parameter that moves the model between displaying and not displaying spontaneous phase ...
Jost, Dominic, Nagel, Kai
core   +1 more source

A Real-time Traffic Signal Control Strategy Under Partially Connected Vehicle Environment

open access: yesPromet (Zagreb), 2019
The performance of a traffic system tends to improve as the percentage of connected vehicles (CV) in total flow increases. However, due to low CV penetration in the current vehicle market, improving the traffic signal operation remains a challenging task.
Kancharla Kamal Keerthi Chandan   +2 more
doaj   +1 more source

Clinical Characteristics and Prognostic Risk Factors for Pediatric B‐Cell Lymphoblastic Lymphoma: A Multicenter Retrospective Cohort Study for China Net Childhood Lymphoma

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background B‐cell lymphoblastic lymphoma (B‐LBL) represents a rare variety of non‐Hodgkin lymphoma, with limited research on its biology, progression, and management. Methods A retrospective analysis was performed on the clinical characteristics of 256 patients aged ≤18 years who received treatment under the China Net Childhood Lymphoma (CNCL)‐
Zhijuan Liu   +20 more
wiley   +1 more source

An extended car following approach using agent based model on evacuation system of micro traffic [PDF]

open access: yes, 2009
We proposed an extended car-following approach on evacuation system of micro traffic. It is based on the agent model. Parameter which is owned by the agent is the velocity.
Harsono, Tri
core  

Macroscopic traffic models from microscopic car-following models

open access: yes, 2001
We present a method to derive macroscopic fluid-dynamic models from microscopic car-following models via a coarse-graining procedure. The method is first demonstrated for the optimal velocity model.
B. S. Kerner   +36 more
core   +1 more source

Organoids in pediatric cancer research

open access: yesFEBS Letters, EarlyView.
Organoid technology has revolutionized cancer research, yet its application in pediatric oncology remains limited. Recent advances have enabled the development of pediatric tumor organoids, offering new insights into disease biology, treatment response, and interactions with the tumor microenvironment.
Carla Ríos Arceo, Jarno Drost
wiley   +1 more source

Presence of Many Stable Nonhomogeneous States in an Inertial Car-Following Model

open access: yes, 2000
A new single lane car following model of traffic flow is presented. The model is inertial and free of collisions. It demonstrates experimentally observed features of traffic flow such as the existence of three regimes: free, fluctuative (synchronized ...
B. S. Kerner   +19 more
core   +1 more source

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