Results 31 to 40 of about 158,019 (258)
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
Calibration of the Intelligent Driver Model (IDM) at the Microscopic Level
This paper presents a calibration technique for the Intelligent Driver Model (IDM), a car-following model that considers the physical interpretation of each parameter. Using an instrumented vehicle, trajectory data were gathered for a group of Portuguese
Luís Vasconcelos, Jorge M. Bandeira
doaj +1 more source
Assessing the Impacts of Autonomous Vehicles on Road Congestion Using Microsimulation
The introduction of autonomous vehicles has been considered as a possible option for reducing traffic congestion in many transport studies. Many types of models, in particular car-following microsimulation models have been adopted in most studies.
Areej Malibari +2 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
Natural Killer Cells in Paediatric Soft Tissue Sarcomas: A Systematic Review
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
Driver’s Anticipation and Memory Driving Car-Following Model
We developed a new car-following model to investigate the effects of driver anticipation and driver memory on traffic flow. The changes of headway, relative velocity, and driver memory to the vehicle in front are introduced as factors of driver’s ...
Ammar Jafaripournimchahi +2 more
doaj +1 more source
A Car-Following Model Based on Safety Margin considering ADAS and Driving Experience
Existing studies had shown that advanced driver assistance systems (ADAS) and driver individual characteristics can significantly affect driving behavior. Therefore, it is necessary to consider these factors when building the car-following model. In this
Yugang Wang, Nengchao Lyu
doaj +1 more source
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
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
Calibrating Car-Following Model Considering Measurement Errors
Car-following model has important applications in traffic and safety engineering. To enhance the accuracy of model in predicting behavior of individual driver, considerable studies strive to improve the model calibration technologies.
Chang-qiao Shao +2 more
doaj +1 more source

