Results 11 to 20 of about 5,909,290 (265)

An Intelligent Evolving Car-Following Model

IEEE Access, 2023
The existing data-driven car-following models do not take structural and range variations of velocity and acceleration into account. This paper develops a new approach to address both structural and range variations in the car-following process through ...
Majid Abdollahzade, Reza Kazemi
doaj   +1 more source

A High-Precision Car-Following Model with Automatic Parameter Optimization and Cross-Dataset Adaptability

World Electric Vehicle Journal, 2023
Despite the significant impact of network hyperparameters on deep learning car-following models, there has been relatively little research on network hyperparameters of deep learning car-following models.
Pinpin Qin, Shenglin Bin, Yanzhi Pang, Xing Li, Fumao Wu, Shiwei Liu   +5 more
doaj   +1 more source

CALIBRATION OF CAR-FOLLOWING MODELS WITH SINGLE- AND MULTI-STEP APPROACHES [PDF]

, 2012
Microscopic traffic simulation models are applied in the analysis of transportation systems for years. Nevertheless, calibration (and validation) of microscopic sub-models such as car-following and gap-acceptance models is still a recent matter.
Ronald Nippold, Wagner, Peter, Peter Wagner, Nippold, Ronald   +3 more
core   +1 more source

Investigating heterogeneous car-following behaviors of different vehicle types, traffic densities and road types

Transportation Research Interdisciplinary Perspectives, 2021
For realistic traffic flow simulation and analysis, it is essential to discuss car-following behaviors in detail, while most studies only concentrate on the heterogeneity according to vehicle types based on the unstable observable variables.
Jinghua Wang, Zhao Zhang, Feng Liu, Guangquan Lu   +3 more
doaj   +1 more source

A Heterogeneity-Aware Car-Following Model: Based on the XGBoost Method

Algorithms
With the rising popularity of the Advanced Driver Assistance System (ADAS), there is an increasing demand for more human-like car-following performance.
Kefei Zhu, Xu Yang, Yanbo Zhang, Mengkun Liang, Jun Wu   +4 more
doaj   +1 more source

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

International 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

Investigation of Car following and Lane Changing Behavior in Diverging Areas of Tunnel–Interchange Connecting Sections Based on Driving Simulation

Applied Sciences
Tunnel–interchange connecting sections pose significant safety challenges on mountainous expressways due to their high incidence of accidents. Improving road safety necessitates a comprehensive understanding of driver behavior in such areas.
Zhenhua Sun, Jinliang Xu, Chenwei Gu, Tian Xin, Wei Zhang   +4 more
doaj   +1 more source

SUMO’s Interpretation of the Krauß Model

SUMO Conference Proceedings
This work gives a short impression on the long history of SUMO's default car-following model, the one according to Stefan Krauß. It tries to summarize some of the ideas that were needed to change a beautiful theoretical model into a versatile and ...
Peter Wagner, Jakob Erdmann
doaj   +1 more source

IMPACT OF FOG ON DYNAMIC PARAMETERS OF VEHICLES IN MIXED TRAFFIC [PDF]

Scientific Journal of Silesian University of Technology. Series Transport
The impact of fog on vehicle behavior under weak-lane discipline and heterogeneous traffic – typical of Indian highways – has not been adequately explored.
Angshuman PANDIT, Anuj Kishor BUDHKAR
doaj   +1 more source

Predicting Autonomous Driving Behavior through Human Factor Considerations in Safety-Critical Events

Smart Cities
This paper investigates the ability of autonomous driving systems to predict outcomes by considering human factors like gender, age, and driving experience, particularly in the context of safety-critical events.
Jamal Raiyn, Galia Weidl
doaj   +1 more source