Urban traffic signal control with connected and automated vehicles: A survey

Q Guo, L Li, XJ Ban - Transportation research part C: emerging …, 2019 - Elsevier
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 …

The traffic signal control problem for intersections: a review

M Eom, BI Kim - European transport research review, 2020 - Springer
Background The intersection traffic signal control problem (ITSCP) has become even more
important as traffic congestion has been more intractable. The ITSCP seeks an efficient …

Routing autonomous vehicles in congested transportation networks: Structural properties and coordination algorithms

F Rossi, R Zhang, Y Hindy, M Pavone - Autonomous Robots, 2018 - Springer
This paper considers the problem of routing and rebalancing a shared fleet of autonomous
(ie, self-driving) vehicles providing on-demand mobility within a capacitated transportation …

Conflict-point formulation of intersection control for autonomous vehicles

MW Levin, D Rey - Transportation Research Part C: Emerging …, 2017 - Elsevier
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 …

[HTML][HTML] A single-layer approach for joint optimization of traffic signals and cooperative vehicle trajectories at isolated intersections

M Liu, J Zhao, S Hoogendoorn, M Wang - Transportation research part C …, 2022 - Elsevier
A joint control approach that simultaneously optimizes traffic signals and trajectories of
cooperative (automated) vehicle platooning at urban intersections is presented in this paper …

Capacity-aware backpressure traffic signal control

J Gregoire, X Qian, E Frazzoli… - … on Control of …, 2014 - ieeexplore.ieee.org
The control of a network of signalized intersections is considered. Previous work
demonstrates that the so-called backpressure control provides stability guarantees …

[HTML][HTML] Multi-objective optimization of traffic signals based on vehicle trajectory data at isolated intersections

W Ma, L Wan, C Yu, L Zou, J Zheng - Transportation research part C …, 2020 - Elsevier
Existing fixed-time traffic signal optimization methods mainly use traffic volumes collected by
infrastructure-based detectors (eg, loop detectors). These infrastructure-based detectors …

Learning the max pressure control for urban traffic networks considering the phase switching loss

X Wang, Y Yin, Y Feng, HX Liu - Transportation Research Part C: Emerging …, 2022 - Elsevier
Previous studies have shown that the max pressure control is a throughput-optimal policy
that can stabilize the store-and-forward traffic network when the demand is within the …

Max-pressure traffic controller based on travel times: An experimental analysis

P Mercader, W Uwayid, J Haddad - Transportation Research Part C …, 2020 - Elsevier
The traffic control of an arbitrary network of signalized intersections is considered. This work
presents a new version of the recently proposed max-pressure controller, also known as …

Expression might be enough: representing pressure and demand for reinforcement learning based traffic signal control

L Zhang, Q Wu, J Shen, L Lü, B Du… - … on Machine Learning, 2022 - proceedings.mlr.press
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) …