Results 21 to 30 of about 14,545,214 (235)
A Microscopic Traffic Model Considering Time Headway and Distance Headway
Applied Sciences, 2023 A microscopic traffic model is presented which employs differences in velocity to characterize driver behavior. The Intelligent Driver (ID) model is based on an acceleration constant which cannot capture different traffic conditions.
Faryal Ali +4 more
doaj +1 more source
Intelligent Modeling of Human Driver: A Survey
2007 IEEE Intelligent Vehicles Symposium, 2007 The control strategy of human operator is naturally dynamic, stochastic and nonlinear. It also changes gradually through the time. Therefore, human driver modeling is a very difficult task. The driver model must be accurate and robust enough to give valid human behaviours under varying conditions, otherwise the model will most probably fail. This means
Delice, I. Ilker, Ertugrul, Seniz
openaire +2 more sources
An investigation on the effect of driver style and driving events on energy demand of a PHEV [PDF]
, 2012 Environmental concerns, security of fuel supply and CO2 regulations are driving innovation in the automotive industry towards electric and hybrid electric vehicles.
McGordon, Andrew +5 more
core +1 more source
A Microscopic Traffic Flow Model Characterization for Weather Conditions
Applied Sciences, 2022 Road surfaces are affected by rain, snow, and ice, which influence traffic flow. In this paper, a microscopic traffic flow model based on weather conditions is proposed. This model characterizes traffic based on the weather severity index.
Faryal Ali +3 more
doaj +1 more source
Design and Numerical Implementation of V2X Control Architecture for Autonomous Driving Vehicles
Mathematics, 2021 This paper is concerned with designing and numerically implementing a V2X (Vehicle-to-Vehicle and Vehicle-to-Infrastructure) control system architecture for a platoon of autonomous vehicles.
Piyush Dhawankar +5 more
doaj +1 more source
Bayesian Calibration of the Intelligent Driver Model
IEEE Transactions on Intelligent Transportation SystemsIEEE Transactions on Intelligent Transportation Systems (2024)
Chengyuan Zhang 0002, Lijun Sun 0001
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Long-term trajectory prediction method based on highway vehicle-following behavior patterns
Journal of Intelligent and Connected VehiclesTo address existing shortcomings such as short time domains and low interpretability, this study proposes a long-term trajectory prediction model for leading vehicles that considers the impact of traffic flow.
Zhichao An +7 more
doaj +1 more source
Conceptual Model for an Intelligent Persuasive Driver Assistant
KnE Social Sciences, 2018 Traffic congestion is a serious issue for large cities. This is especially critical for cities that has insufficient mass transit system like Bangkok. Although transportation infrastructure projects and rail mass transit lines are being implemented, these efforts require major financial investment and take a long time to complete. This work proposes
Siam Yamsaengsung, Borworn Papasratorn
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The Intelligent Driver Model with Stochasticity -New Insights Into Traffic Flow Oscillations [PDF]
Transportation Research Procedia, 2017 Traffic flow oscillations, including traffic waves, are a common yet incompletely understood feature of congested traffic. Possible mechanisms include traffic flow instabilities, indifference regions or finite human perception thresholds (action points), and external acceleration noise.
Treiber, Martin, Kesting, Arne
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IEEE Access, 2020 Autonomous driving is designed to enhance the overall performance of vehicular traffic. The primary objective of this study is to develop an improved car-following model for adaptive cruise control (ACC) by integrating conventional automated logic with ...
Haifei Yang +3 more
doaj +1 more source