[HTML][HTML] Simulation optimization: a review of algorithms and applications
Simulation optimization (SO) refers to the optimization of an objective function subject to
constraints, both of which can be evaluated through a stochastic simulation. To address …
constraints, both of which can be evaluated through a stochastic simulation. To address …
Evolution of traffic microsimulation and its use for modeling connected and automated vehicles
Traffic microsimulation has a functional role in understanding the traffic performance on the
road network. This study originated with intent to understand traffic microsimulation and its …
road network. This study originated with intent to understand traffic microsimulation and its …
[HTML][HTML] Getting real: The challenge of building and validating a large-scale digital twin of Barcelona's traffic with empirical data
J Argota Sánchez-Vaquerizo - ISPRS International Journal of Geo …, 2022 - mdpi.com
Large-scale microsimulations are increasingly resourceful tools for analysing in detail
citywide effects and alternative scenarios of our policy decisions, approximating the ideal of …
citywide effects and alternative scenarios of our policy decisions, approximating the ideal of …
An enhanced SPSA algorithm for the calibration of Dynamic Traffic Assignment models
Simultaneous perturbation stochastic approximation (SPSA) is an efficient and well
established optimization method that approximates gradients from successive objective …
established optimization method that approximates gradients from successive objective …
Exploring the impact of connected and autonomous vehicles on freeway capacity using a revised Intelligent Driver Model
P Liu, W Fan - Transportation planning and technology, 2020 - Taylor & Francis
Connected and autonomous vehicle (CAV) technologies are expected to change
driving/vehicle behavior on freeways. This study investigates the impact of CAVs on freeway …
driving/vehicle behavior on freeways. This study investigates the impact of CAVs on freeway …
Surrogate‐based optimization of expensive‐to‐evaluate objective for optimal highway toll charges in transportation network
This article adopts a family of surrogate‐based optimization approaches to approximate the
response surface for the transportation simulation input–output mapping and search for the …
response surface for the transportation simulation input–output mapping and search for the …
Simulation optimization: a review of algorithms and applications
Simulation optimization refers to the optimization of an objective function subject to
constraints, both of which can be evaluated through a stochastic simulation. To address …
constraints, both of which can be evaluated through a stochastic simulation. To address …
Applying Bayesian optimization for calibration of transportation simulation models
The parameters of a transportation simulation model need to pass through a careful
calibration process to ensure that the model's output is as close as possible to the actual …
calibration process to ensure that the model's output is as close as possible to the actual …
A two-level probabilistic approach for validation of stochastic traffic simulations: Impact of drivers' heterogeneity models
V Punzo, M Montanino - Transportation research part C: emerging …, 2020 - Elsevier
This paper shows how traffic heterogeneity, and the way it is encoded into a model,
drastically affects a model ability to reproduce observed traffic. Being heterogeneity a major …
drastically affects a model ability to reproduce observed traffic. Being heterogeneity a major …
[HTML][HTML] A synthesis of emerging data collection technologies and their impact on traffic management applications
C Antoniou, R Balakrishna… - European Transport …, 2011 - Springer
Purpose The objective of this research is to provide an overview of emerging data collection
technologies and their impact on traffic management applications. Methods Several existing …
technologies and their impact on traffic management applications. Methods Several existing …