Decentralized signal control for multi-modal traffic network: A deep reinforcement learning approach
Managing traffic flow at intersections in a large-scale network remains challenging. Multi-
modal signalized intersections integrate various objectives, including minimizing the queue …
modal signalized intersections integrate various objectives, including minimizing the queue …
Adaptive and multi-path progression signal control under connected vehicle environment
Through wireless communications, enriched information from connected vehicles (CVs) can
describe traffic information near an intersection and would supplement a data source for an …
describe traffic information near an intersection and would supplement a data source for an …
Network-level multiband signal coordination scheme based on vehicle trajectory data
Traffic signal coordination has long been recognized as an efficient way of achieving smooth
urban traffic. This paper proposes a network-level multiband signal coordination (NMBSC) …
urban traffic. This paper proposes a network-level multiband signal coordination (NMBSC) …
A partition-enabled multi-mode band approach to arterial traffic signal optimization
Arterial traffic signal coordination makes traffic flow more efficient and safer. This paper
presents a partition-enabled multi-mode band (PM-BAND) model that is designed to solve …
presents a partition-enabled multi-mode band (PM-BAND) model that is designed to solve …
Signalized arterial origin-destination flow estimation using flawed vehicle trajectories: A self-supervised learning approach without ground truth
For alleviating arterial congestion, most control strategies provide progression for through
and turning traffic. A prerequisite input is the arterial origin–destination (OD) flow pattern …
and turning traffic. A prerequisite input is the arterial origin–destination (OD) flow pattern …
An optimization model for arterial coordination control based on sampled vehicle trajectories: The STREAM model
Traditional arterial coordination control models adopt aggregated demand from fixed
detectors or manual counts as main input, which lack a self-feedback mechanism between …
detectors or manual counts as main input, which lack a self-feedback mechanism between …
Network-level signal predictive control with real-time routing information
This paper presents a framework for signalized road network predictive optimization using
real-time routing information from connected vehicles (CVs). An important feature of the real …
real-time routing information from connected vehicles (CVs). An important feature of the real …
Design of an arterial signal progression plan for multi-path flows with only intersection turning counts
Most congested urban arterials, connecting multiple major intersections with heavy turning
flows, are likely to comprise multiple high-volume path flows in addition to its through traffic …
flows, are likely to comprise multiple high-volume path flows in addition to its through traffic …
An origin-destination demands-based multipath-band approach to time-varying arterial coordination
With the development of intelligent transportation technology, more and more traffic
information can be obtained to enhance arterial coordination efficiency. A time-varying …
information can be obtained to enhance arterial coordination efficiency. A time-varying …
A multi-path arterial progression model with variable signal structures
C Li, H Wang, Y Lu - Transportmetrica A: transport science, 2023 - Taylor & Francis
Over years of development, arterial progression has become a tool of great practicality.
However, in regard to multiple paths, no current work is focused on providing green-bands …
However, in regard to multiple paths, no current work is focused on providing green-bands …