Cooperative decision-making for mixed traffic: A ramp merging example
Z Sun, T Huang, P Zhang - Transportation research part C: emerging …, 2020 - Elsevier
The rapid conceptual development and commercialization of connected automated vehicle
(CAV) has led to the problem of mixed traffic, ie, traffic mixed with CAVs and conventional …
(CAV) has led to the problem of mixed traffic, ie, traffic mixed with CAVs and conventional …
Mixed-traffic intersection management utilizing connected and autonomous vehicles as traffic regulators
Connected and autonomous vehicles (CAVs) can realize many revolutionary applications,
but it is expected to have mixed-traffic including CAVs and human-driving vehicles (HVs) …
but it is expected to have mixed-traffic including CAVs and human-driving vehicles (HVs) …
Autonomous-vehicle public transportation system: Scheduling and admission control
Technology of autonomous vehicles (AVs) is becoming mature, and many AVs will appear
on roads in the near future. AVs become connected with the support of various vehicular …
on roads in the near future. AVs become connected with the support of various vehicular …
A queueing model and analysis for autonomous vehicles on highways
N Mirzaeian, SH Cho… - Management Science, 2021 - pubsonline.informs.org
We investigate the effects of autonomous vehicles (AVs) on highway congestion. AVs have
the potential to significantly reduce highway congestion because they can maintain smaller …
the potential to significantly reduce highway congestion because they can maintain smaller …
Managing connected and automated vehicles at isolated intersections: From reservation-to optimization-based methods
Reservation-based methods with simple policies such as first-come-first-service (FCFS)
have been proposed in the literature to manage connected and automated vehicles (CAVs) …
have been proposed in the literature to manage connected and automated vehicles (CAVs) …
[HTML][HTML] Promoting autonomous vehicles using travel demand and lane management strategies
A key challenge facing cities of today is the persistent and growing urban congestion that
has significant adverse effects on economic productivity, emissions, driver frustration, and …
has significant adverse effects on economic productivity, emissions, driver frustration, and …
Autonomous planning and control for intelligent vehicles in traffic
This paper addresses the trajectory planning problem for autonomous vehicles in traffic. We
build a stochastic Markov decision process (MDP) model to represent the behaviors of the …
build a stochastic Markov decision process (MDP) model to represent the behaviors of the …
Stochastic and dynamic vehicle routing in the Euclidean plane with multiple capacitated vehicles
DJ Bertsimas, G Van Ryzin - Operations Research, 1993 - pubsonline.informs.org
In 1991, DJ Bertsimas and G. van Ryzin introduced and analyzed a model for stochastic and
dynamic vehicle routing in which a single, uncapacitated vehicle traveling at a constant …
dynamic vehicle routing in which a single, uncapacitated vehicle traveling at a constant …
Optimal trajectory planning of connected and automated vehicles at on-ramp merging area
Cooperative Adaptive Cruise Control (CACC) systems can significantly improve traffic safety
and roadway capacity utilizing short following gaps of vehicles enabled by inter-vehicle …
and roadway capacity utilizing short following gaps of vehicles enabled by inter-vehicle …
A practical trajectory planning framework for autonomous ground vehicles driving in urban environments
This paper presents a practical trajectory planning framework towards fully autonomous
driving in urban environments. Firstly, based on the behavioral decision commands, a …
driving in urban environments. Firstly, based on the behavioral decision commands, a …