Global lessons learned from naturalistic driving studies to advance traffic safety and operation research: A systematic review
The state of practice of investigating traffic safety and operation is primarily based on
traditional data sources, such as spot sensors, loop detectors, and historical crash data …
traditional data sources, such as spot sensors, loop detectors, and historical crash data …
Personalized car-following control based on a hybrid of reinforcement learning and supervised learning
D Song, B Zhu, J Zhao, J Han… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
With the development of intelligent vehicles, more research has focused on achieving
human-like driving. As an important component of intelligent vehicle control, car-following …
human-like driving. As an important component of intelligent vehicle control, car-following …
Application of naturalistic driving data: A systematic review and bibliometric analysis
MR Alam, D Batabyal, K Yang, T Brijs… - Accident Analysis & …, 2023 - Elsevier
The application of naturalistic driving data (NDD) has the potential to answer critical
research questions in the area of driving behavior assessment, as well as the impact of …
research questions in the area of driving behavior assessment, as well as the impact of …
A real-time vehicle-specific eco-routing model for on-board navigation applications capturing transient vehicle behavior
The paper develops a real-time vehicle-specific eco-routing model for use in on-board
navigation systems for both conventional fuel-and battery-powered electric vehicles. The …
navigation systems for both conventional fuel-and battery-powered electric vehicles. The …
Experimental features of emissions and fuel consumption in a car-following platoon
The paper investigates the features of emissions and fuel consumption (EFC) in a car-
following (CF) platoon based on two experimental datasets. Four classical EFC models are …
following (CF) platoon based on two experimental datasets. Four classical EFC models are …
Microsimulation of energy and flow effects from optimal automated driving in mixed traffic
This paper studies the energy and traffic impact of a proposed Anticipative Cruise Controller
in a PTV VISSIM microsimulation environment. We dissect our controller into two parts: 1. the …
in a PTV VISSIM microsimulation environment. We dissect our controller into two parts: 1. the …
[HTML][HTML] A novel vehicle dynamics and human behavior car-following model: Model development and preliminary testing
K Fadhloun, H Rakha - International journal of transportation science and …, 2020 - Elsevier
The research presented in this paper proposes and develops a new car-following model,
which we term the Fadhloun-Rakha (FR) model. The FR model incorporates the key …
which we term the Fadhloun-Rakha (FR) model. The FR model incorporates the key …
Verification of the HDM-4 fuel consumption model using a Big data approach: A UK case study
F Perrotta, T Parry, LC Neves, T Buckland… - … Research Part D …, 2019 - Elsevier
This paper presents an assessment of the accuracy of the HDM-4 fuel consumption model
calibrated for the United Kingdom and evaluates the need for further calibration of the …
calibrated for the United Kingdom and evaluates the need for further calibration of the …
Modification of Newell's car-following model incorporating multidimensional stochastic parameters for emission estimation
Existing studies have indicated that the vehicle trajectories derived from Newell's car-
following model (NCM) fail to capture driving behavior heterogeneity, resulting in …
following model (NCM) fail to capture driving behavior heterogeneity, resulting in …
Longitudinal train dynamics model for a rail transit simulation system
The paper develops a longitudinal train dynamics model in support of microscopic railway
transportation simulation. The model can be calibrated without any mechanical data making …
transportation simulation. The model can be calibrated without any mechanical data making …