[HTML][HTML] Trajectory data-based traffic flow studies: A revisit
In this paper, we review trajectory data-based traffic flow studies that have been conducted
over the last 15 years. Our purpose is to provide a roadmap for readers who have an interest …
over the last 15 years. Our purpose is to provide a roadmap for readers who have an interest …
Review on building energy model calibration by Bayesian inference
A building energy model (BEM) is essential for understanding building energy consumption,
evaluating energy-saving measures, and developing associated codes, standards, and …
evaluating energy-saving measures, and developing associated codes, standards, and …
A survey on autonomous vehicle control in the era of mixed-autonomy: From physics-based to AI-guided driving policy learning
This paper serves as an introduction and overview of the potentially useful models and
methodologies from artificial intelligence (AI) into the field of transportation engineering for …
methodologies from artificial intelligence (AI) into the field of transportation engineering for …
Driver behavior modeling towards autonomous vehicles: Comprehensive review
Driver behavior models have been used as input to self-coaching, accident prevention
studies, and developing driver-assisting systems. In recent years, driver behavior …
studies, and developing driver-assisting systems. In recent years, driver behavior …
Online parameter estimation methods for adaptive cruise control systems
Modeling Adaptive Cruise Control (ACC) vehicles enables the understanding of the impact
of these vehicles on traffic flow. In this work, two online methods are used to provide real …
of these vehicles on traffic flow. In this work, two online methods are used to provide real …
Bayesian Calibration of Using CO2 Sensors to Assess Ventilation Conditions and Associated COVID-19 Airborne Aerosol Transmission Risk in Schools
Ventilation rate plays a significant role in preventing the airborne transmission of diseases in
indoor spaces. Classrooms are a considerable challenge during the COVID-19 pandemic …
indoor spaces. Classrooms are a considerable challenge during the COVID-19 pandemic …
Comparing the Effect of Age, Gender, and Desired Speed on Car‐Following Behavior by Using Driving Simulator
E Ramezani-Khansari, M Tabibi… - Journal of advanced …, 2021 - Wiley Online Library
In this study, the effect of age, gender, and desired speed (DS) factors on General Motors car‐
following (CF) behavior was investigated. DS was defined as the speed selected by the …
following (CF) behavior was investigated. DS was defined as the speed selected by the …
Improving the efficacy of car-following models with a new stochastic parameter estimation and calibration method
Microscopic roadway traffic simulators, which attempt to mimic real-world driver behaviors,
are based on car-following models and have been widely used as a cost-effective tool for …
are based on car-following models and have been widely used as a cost-effective tool for …
Development of a Bayesian inference model for assessing ventilation condition based on CO2 meters in primary schools
Outdoor fresh air ventilation plays a significant role in reducing airborne transmission of
diseases in indoor spaces. School classrooms are considerably challenged during the …
diseases in indoor spaces. School classrooms are considerably challenged during the …
Calibration of microscopic traffic flow models against time-series data
In the field of traffic simulation, the calibration of uncertain inputs against real data is usually
taken to cover the epistemic uncertainty regarding the un-modeled details of the phenomena …
taken to cover the epistemic uncertainty regarding the un-modeled details of the phenomena …