[HTML][HTML] Two-layer adaptive signal control framework for large-scale dynamically-congested networks: Combining efficient Max Pressure with Perimeter Control
Traffic-responsive signal control is a cost-effective, easy-to-implement, network management
strategy, bearing high potential to improve performance in heavily congested networks with …
strategy, bearing high potential to improve performance in heavily congested networks with …
N-MP: A network-state-based Max Pressure algorithm incorporating regional perimeter control
Abstract The Max Pressure (MP) framework has been shown to be an effective real-time
decentralized traffic signal control algorithm. However, despite its superior performance and …
decentralized traffic signal control algorithm. However, despite its superior performance and …
OCC-MP: A Max-Pressure framework to prioritize transit and high occupancy vehicles
Max-pressure (MP) is a decentralized adaptive traffic signal control approach that has been
shown to maximize throughput for private vehicles. However, MP-based signal control …
shown to maximize throughput for private vehicles. However, MP-based signal control …
Smoothing-MP: A novel max-pressure signal control considering signal coordination to smooth traffic in urban networks
Decentralized traffic signal control methods, such as max-pressure (MP) control or back-
pressure (BP) control, have gained increasing attention in recent years. MP control, in …
pressure (BP) control, have gained increasing attention in recent years. MP control, in …
A max pressure algorithm for traffic signals considering pedestrian queues
This paper proposes a novel max-pressure (MP) algorithm that incorporates pedestrian
traffic into the MP control architecture. Pedestrians are modeled as being included in one of …
traffic into the MP control architecture. Pedestrians are modeled as being included in one of …
[HTML][HTML] Backpressure or no backpressure? Two simple examples
MJ Smith, R Mounce - Transportation research part C: emerging …, 2024 - Elsevier
Many responsive traffic signal control strategies are “pressure-driven”. These strategies
move green-time from stages with a lower pressure to stages with a higher pressure, at each …
move green-time from stages with a lower pressure to stages with a higher pressure, at each …
Cooperative Traffic Signal Control Using a Distributed Agent-Based Deep Reinforcement Learning With Incentive Communication
Deep Reinforcement Learning has shown some promise in dynamic traffic signal control by
adapting to real-time traffic conditions. However, multi-intersection control presents …
adapting to real-time traffic conditions. However, multi-intersection control presents …
Fusing crowdsourced data to an adaptive wireless traffic signal control system architecture
In this study, a novel wireless adaptive traffic signal control System architecture is proposed,
in which crowdsourced data is integrated to detect the traffic state on each approach of an …
in which crowdsourced data is integrated to detect the traffic state on each approach of an …
C-MP: A decentralized adaptive-coordinated traffic signal control using the Max Pressure framework
Coordinated traffic signals seek to provide uninterrupted flow through a series of closely
spaced intersections, typically using pre-defined fixed signal timings and offsets. Adaptive …
spaced intersections, typically using pre-defined fixed signal timings and offsets. Adaptive …
[HTML][HTML] Identification of optimal locations of adaptive traffic signal control using heuristic methods
Abstract Adaptive Traffic Signal Control (ATSC) adjusts signal timings to real-time traffic
measurements, increasing operational efficiency within a network. However, ATSC is both …
measurements, increasing operational efficiency within a network. However, ATSC is both …