A review of car-following models and modeling tools for human and autonomous-ready driving behaviors in micro-simulation
The platform of a microscopic traffic simulation provides an opportunity to study the driving
behavior of vehicles on a roadway system. Compared to traditional conventional cars with …
behavior of vehicles on a roadway system. Compared to traditional conventional cars with …
[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 …
[HTML][HTML] Automated vehicle-involved traffic flow studies: A survey of assumptions, models, speculations, and perspectives
Automated vehicles (AVs) are widely considered to play a crucial role in future transportation
systems because of their speculated capabilities in improving road safety, saving energy …
systems because of their speculated capabilities in improving road safety, saving energy …
Human-like autonomous car-following model with deep reinforcement learning
This study proposes a framework for human-like autonomous car-following planning based
on deep reinforcement learning (deep RL). Historical driving data are fed into a simulation …
on deep reinforcement learning (deep RL). Historical driving data are fed into a simulation …
Influence of connected and autonomous vehicles on traffic flow stability and throughput
A Talebpour, HS Mahmassani - Transportation research part C: emerging …, 2016 - Elsevier
The introduction of connected and autonomous vehicles will bring changes to the highway
driving environment. Connected vehicle technology provides real-time information about the …
driving environment. Connected vehicle technology provides real-time information about the …
Jointly dampening traffic oscillations and improving energy consumption with electric, connected and automated vehicles: A reinforcement learning based approach
It has been well recognized that human driver's limits, heterogeneity, and selfishness
substantially compromise the performance of our urban transport systems. In recent years, in …
substantially compromise the performance of our urban transport systems. In recent years, in …
50th anniversary invited article—Autonomous vehicles and connected vehicle systems: Flow and operations considerations
HS Mahmassani - Transportation Science, 2016 - pubsonline.informs.org
The impacts of autonomous vehicles, coupled with greater inter-vehicle and system
connectivity, may be far-reaching on several levels. They entail changes to (1) the demand …
connectivity, may be far-reaching on several levels. They entail changes to (1) the demand …
Heavy-duty vehicle platooning for sustainable freight transportation: A cooperative method to enhance safety and efficiency
The current system of global trade is largely based on transportation and communication
technology from the 20th century. Advances in technology have led to an increasingly …
technology from the 20th century. Advances in technology have led to an increasingly …
A recurrent neural network based microscopic car following model to predict traffic oscillation
This paper proposes a recurrent neural network based microscopic car following model that
is able to accurately capture and predict traffic oscillation. Neural network models have …
is able to accurately capture and predict traffic oscillation. Neural network models have …
Modeling car-following behavior on urban expressways in Shanghai: A naturalistic driving study
Although car-following behavior is the core component of microscopic traffic simulation,
intelligent transportation systems, and advanced driver assistance systems, the adequacy of …
intelligent transportation systems, and advanced driver assistance systems, the adequacy of …