Results 41 to 50 of about 1,982,630 (299)

Learning Car-Following Behaviors for a Connected Automated Vehicle System: An Improved Sequence-to-Sequence Deep Learning Model

open access: yesIEEE Access, 2023
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

A review on following behavioral models: Regular to connected autonomous vehicle heterogeneity

open access: yesIATSS Research
Following behavior, an integral part of driving, is vital in describing the longitudinal interaction among vehicles. The traffic composition of the stream influences the following behavior.
Nazmul Haque   +3 more
doaj   +1 more source

Modeling Driver Behavior in Road Traffic Simulation

open access: yesSensors, 2022
Driver behavior models are an important part of road traffic simulation modeling. They encompass characteristics such as mood, fatigue, and response to distracting conditions.
Teodora Mecheva   +2 more
doaj   +1 more source

A Model of Car-Following Behavior at Sags

open access: yes, 2014
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

Модель транспортного потока, основанная на взаимодействии частиц с потенциалом действия

open access: yesVestnik KRAUNC: Fiziko-Matematičeskie Nauki, 2022
Современное бурное развитие беспилотных автомобилей ставит вопрос оценки последствия их внедрения на транспортный поток, что делает актуальной задачу создания смешанной модели. Объектом исследования статьи является транспортный поток.
Бобровская, О.П.   +2 more
doaj   +1 more source

Instabilities in car following and multi-anticipative car following models

open access: yesNonlinear Dynamics
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

Efficient calibration of microscopic car-following models for large-scale stochastic network simulators

open access: yesTransportation Research Part B: Methodological, 2019
This paper proposes a simulation-based optimization methodology for the efficient calibration of microscopic traffic flow models (i.e., car-following models) of large-scale stochastic network simulators.
C. Osorio, V. Punzo
semanticscholar   +1 more source

Natural Killer Cells in Paediatric Soft Tissue Sarcomas: A Systematic Review

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Paediatric soft tissue sarcomas (pSTS) are a rare and heterogeneous group of malignant tumours arising in tissues of mesenchymal origin. The role of natural killer (NK) cells in pSTS remains poorly understood, with evidence fragmented across small preclinical studies and early‐phase clinical trials.
Raya Dean   +7 more
wiley   +1 more source

Occurrence of Extramedullary Relapses in Pediatric Acute Lymphoblastic Leukemia After Treatment With Blinatumomab

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT We report a retrospective single‐center analysis of pediatric patients with relapsed or refractory B‐cell precursor acute lymphoblastic leukemia focusing on relapses outside of the typical locations, bone marrow, central nervous system, or testes.
Johanna Kunz   +7 more
wiley   +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

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