Results 21 to 30 of about 14,572 (301)
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
Applied Sciences, 2021 This paper presents an uncontrolled intersection-passing algorithm with an integrated approach of stochastic model-predictive control and prediction uncertainty estimation for autonomous vehicles. The proposed algorithm is designed to utilize information
Yonghwan Jeong
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
SUMO Conference Proceedings, 2023 In this study, the physical principles governing car-following (CF) behavior and their impact on traffic flow at signalized intersections are investigated. High temporal-resolution radar data is used to provide valuable insights into actual CF behavior,
Max Schrader +2 more
doaj +1 more source
Driver anomaly quantification for intelligent vehicles: a contrastive learning approach with representation clustering [PDF]
, 2022 Driver anomaly quantification is a fundamental capability to support human-centric driving systems of intelligent vehicles. Existing studies usually treat it as a classification task and obtain discrete levels for abnormalities.
Cao, Dongpu +4 more
core +1 more source
Effect of using an in-vehicle smart driving aid on real-world driver performance [PDF]
, 2014 A smart driving system (providing both safety and fuel-efficient driving advice in real time in the vehicle) was evaluated in real-world on-road driving trials to see if any measurable beneficial changes in driving performance would be observed.
Fowkes, Mark +2 more
core +1 more source
Road traffic simulator using the Intelligent Driver Model
, 2021 Road traffic simulator using the Intelligent Driver ...
Corduri Nicco
core +1 more source
Driving Cars by Means of Genetic Algorithms [PDF]
, 2008 Proceedings of: 10th International Conference on Parallel Problem Solving From Nature, PPSN 2008. Dortmund, Germany, September 13-17, 2008The techniques and the technologies supporting Automatic Vehicle Guidance are an important issue.
Sáez, Yago +6 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