Results 11 to 20 of about 1,982,630 (299)
Calibrating car-following models via Bayesian dynamic regression [PDF]
Transportation Research Part C: Emerging Technologies, 2023 Car-following behavior modeling is critical for understanding traffic flow dynamics and developing high-fidelity microscopic simulation models. Most existing impulse-response car-following models prioritize computational efficiency and interpretability ...
Chengyuan Zhang, Wenshuo Wang, Lijun Sun
semanticscholar +1 more source
Stochastic factors and string stability of traffic flow: Analytical investigation and numerical study based on car-following models [PDF]
Transportation Research Part B: Methodological, 2022 The emergence dynamics of traffic flow instabilities has always attracted particular attention. Considerable efforts have been devoted to studying the stability of traffic flow by using different traffic models.
M. Bouadi +4 more
semanticscholar +1 more source
A Physics-Informed Deep Learning Paradigm for Car-Following Models [PDF]
arXiv.org, 2020 Car-following behavior has been extensively studied using physics-based models, such as the Intelligent Driver Model. These models successfully interpret traffic phenomena observed in the real-world but may not fully capture the complex cognitive process
Zhaobin Mo, Xuan Di, Rongye Shi
semanticscholar +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
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 +5 more
doaj +1 more source
International Journal of Transportation Science and Technology, 2022 The existing conventional traffic flow models aims to simulate human-driven following vehicles in real world. In this era of emerging transport solutions, controlling or intervening traffic flow to achieve high fuel efficiency along with good driving ...
Yang Yu, Xiaobo Qu
doaj +1 more source
FollowNet: A Comprehensive Benchmark for Car-Following Behavior Modeling
Scientific Data, 2023 Car-following is a control process in which a following vehicle adjusts its acceleration to keep a safe distance from the lead vehicle. Recently, there has been a booming of data-driven models that enable more accurate modeling of car-following through ...
Xianda Chen +8 more
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Assessing the Impacts of Autonomous Vehicles on Road Congestion Using Microsimulation
Sensors, 2022 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
Calibrating microscopic car following models for adaptive cruise control vehicles: a multi-objective approach [PDF]
arXiv.org, 2020 Adaptive cruise control (ACC) vehicles are the first step toward comprehensive vehicle automation. However, the impacts of such vehicles on the underlying traffic flow are not yet clear.
Felipe Augusto de Souza +1 more
semanticscholar +1 more source
Future Transportation, 2021 Traffic safety studies need more than what the current micro-simulation models can provide, as they presume that all drivers exhibit safe behaviors. Therefore, existing micro-simulation models are inadequate to evaluate the safety impacts of managed ...
Kaveh Bevrani, Edward Chung, Pauline Teo
doaj +1 more source