Urban traffic signal control with connected and automated vehicles: A survey
Inefficient traffic control is pervasive in modern urban areas, which would exaggerate traffic
congestion as well as deteriorate mobility, fuel economy and safety. In this paper, we …
congestion as well as deteriorate mobility, fuel economy and safety. In this paper, we …
Cooperative intersection management: A survey
Intersection management is one of the most challenging problems within the transport
system. Traffic light-based methods have been efficient but are not able to deal with the …
system. Traffic light-based methods have been efficient but are not able to deal with the …
A comprehensive survey on cooperative intersection management for heterogeneous connected vehicles
Nowadays, with the advancement of technology, world is trending toward high mobility and
dynamics. In this context, intersection management (IM) as one of the most crucial elements …
dynamics. In this context, intersection management (IM) as one of the most crucial elements …
Adaptive traffic signal control: Deep reinforcement learning algorithm with experience replay and target network
Adaptive traffic signal control, which adjusts traffic signal timing according to real-time traffic,
has been shown to be an effective method to reduce traffic congestion. Available works on …
has been shown to be an effective method to reduce traffic congestion. Available works on …
[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 …
Distributed coordinated signal timing optimization in connected transportation networks
This paper presents a Distributed-Coordinated methodology for signal timing optimization in
connected urban street networks. The underlying assumption is that all vehicles and …
connected urban street networks. The underlying assumption is that all vehicles and …
Integrating public transit signal priority into max-pressure signal control: Methodology and simulation study on a downtown network
Max-pressure signal control has been analytically proven to maximize the network
throughput and stabilize queue lengths whenever possible. Since there are many transit …
throughput and stabilize queue lengths whenever possible. Since there are many transit …
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 …
[HTML][HTML] Multi-objective optimization of traffic signals based on vehicle trajectory data at isolated intersections
Existing fixed-time traffic signal optimization methods mainly use traffic volumes collected by
infrastructure-based detectors (eg, loop detectors). These infrastructure-based detectors …
infrastructure-based detectors (eg, loop detectors). These infrastructure-based detectors …