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 …
[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 …
Conflict-point formulation of intersection control for autonomous vehicles
Reservation-based intersection controls, in which vehicles reserve space-time paths through
the intersection, have the potential to make greater use of intersection capacity than traffic …
the intersection, have the potential to make greater use of intersection capacity than traffic …
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 …
Expression might be enough: representing pressure and demand for reinforcement learning based traffic signal control
Many studies confirmed that a proper traffic state representation is more important than
complex algorithms for the classical traffic signal control (TSC) problem. In this paper, we (1) …
complex algorithms for the classical traffic signal control (TSC) problem. In this paper, we (1) …
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 …
Back-pressure traffic signal control with fixed and adaptive routing for urban vehicular networks
City-wide control and coordination of traffic flow can improve efficiency, fuel consumption,
and safety. We consider the problem of controlling traffic lights under fixed and adaptive …
and safety. We consider the problem of controlling traffic lights under fixed and adaptive …
Max-pressure signal control with cyclical phase structure
MW Levin, J Hu, M Odell - Transportation Research Part C: Emerging …, 2020 - Elsevier
Max-pressure traffic signal control has many desirable properties. It is analytically proven to
maximize network throughput if demand could be served by any signal control. Despite its …
maximize network throughput if demand could be served by any signal control. Despite its …