微观交通仿真模型参数标定研究综述.
刘昕， 刘志远， 聂品， 顾子渊 - Journal of Railway Science & …, 2022 - search.ebscohost.com
交通仿真在解析复杂交通网络供需平衡机理和推演交通时空运行状态等方面具有显著优势,
合理的仿真模型参数标定方法可确保模型的复现能力. 为帮助交通仿真使用者了解与掌握仿真 …
合理的仿真模型参数标定方法可确保模型的复现能力. 为帮助交通仿真使用者了解与掌握仿真 …
Bayesian optimization for congestion pricing problems: A general framework and its instability
In this study, we proposed a generic Bayesian optimization (BO) framework to solve
congestion pricing problems. In the BO framework, the Gaussian process (GP) serves as a …
congestion pricing problems. In the BO framework, the Gaussian process (GP) serves as a …
A stochastic framework using Bayesian optimization algorithm to assess the network-level societal impacts of connected and autonomous vehicles
Connected and autonomous vehicle technologies are expected to alter transportation
systems by enhancements in mobility, safety, and emission reduction. While many studies …
systems by enhancements in mobility, safety, and emission reduction. While many studies …
Bayesian optimization techniques for high-dimensional simulation-based transportation problems
Bayesian optimization (BO) is an attractive method for tackling transportation optimization
problems due to its ability to balance exploitation and exploration. However, scaling BO to …
problems due to its ability to balance exploitation and exploration. However, scaling BO to …
Calibrating stochastic traffic simulation models for safety and operational measures based on vehicle conflict distributions obtained from aerial and traffic camera …
Proper calibration process is of considerable importance for traffic safety evaluations using
simulation models. Allowing for a pure with and without comparison under identical …
simulation models. Allowing for a pure with and without comparison under identical …
Model Calibration and Validation From A Statistical Inference Perspective
Despite the general consensus in transport research community that model calibration and
validation are necessary to enhance model predictive performance, there exist significant …
validation are necessary to enhance model predictive performance, there exist significant …
A simulation-based model for continuous network design problem using Bayesian optimization
This paper investigates the continuous network design problem (CNDP) and proposes a
simulation-based bi-level model and solution framework based on Bayesian optimization. In …
simulation-based bi-level model and solution framework based on Bayesian optimization. In …
Simulation-based analysis of second-best multimodal network capacity
Modeling the capacity of a transportation system ought to be an essential task for assessing
the level of service of urban transportation networks. Compared to the maximum traffic …
the level of service of urban transportation networks. Compared to the maximum traffic …
Designing, simulating, and performing the 100-av field test for the circles consortium: Methodology and implementation of the largest mobile traffic control experiment …
Previous controlled experiments on single-lane ring roads have shown that a single partially
autonomous vehicle (AV) can effectively mitigate traffic waves. This naturally prompts the …
autonomous vehicle (AV) can effectively mitigate traffic waves. This naturally prompts the …
BOP-Elites, a Bayesian Optimisation Approach to Quality Diversity Search with Black-Box descriptor functions
Quality Diversity (QD) algorithms such as MAP-Elites are a class of optimisation techniques
that attempt to find many high performing points that all behave differently according to a …
that attempt to find many high performing points that all behave differently according to a …