Traffic signal optimization under connected‐vehicle environment: An overview
J Wang, S Jiang, Y Qiu, Y Zhang… - Journal of Advanced …, 2021 - Wiley Online Library
Traffic signal optimization is a significant means for smoothing urban traffic flow. However,
the operation of traffic signals is currently seriously constrained by the data available from …
the operation of traffic signals is currently seriously constrained by the data available from …
Self-learning adaptive traffic signal control for real-time safety optimization
Adaptive traffic signal control (ATSC) is a promising technique to improve the efficiency of
signalized intersections, especially in the era of connected vehicles (CVs) when real-time …
signalized intersections, especially in the era of connected vehicles (CVs) when real-time …
Cooperative control of multiple intersections combining agent and chaotic particle swarm optimization
H Qin, W Zhang, H Zhai - Computers and Electrical Engineering, 2023 - Elsevier
The regional intersection can be regarded as an agent model, that should be controlled and
optimized. The traditional particle swarm optimization algorithm has been enhanced through …
optimized. The traditional particle swarm optimization algorithm has been enhanced through …
Connected automated vehicle trajectory optimization along signalized arterial: A decentralized approach under mixed traffic environment
Trajectory optimization, as a key connected automated vehicles (CAVs) operation task, has
the potential to mitigate traffic congestion, lower energy consumption, and increase the …
the potential to mitigate traffic congestion, lower energy consumption, and increase the …
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 …
Ant colony optimization-based traffic routing with intersection negotiation for connected vehicles
This study presents a decentralized traffic management system that integrates dynamic
traffic routing and signal-free intersection traffic control for connected vehicles (CV). In …
traffic routing and signal-free intersection traffic control for connected vehicles (CV). In …
Amalgamating vehicular networks with vehicular clouds, AI, and big data for next-generation its services
Advances in the connected vehicle and cloud computing technologies, Big data, and
artificial intelligence techniques have opened new research opportunities. We can integrate …
artificial intelligence techniques have opened new research opportunities. We can integrate …
Reservation-based cooperative ecodriving model for mixed autonomous and manual vehicles at intersections
Oversaturation has become a serious issue for urban intersections worldwide due to the
rapid increase in population and traffic demands. The emergence of connected and …
rapid increase in population and traffic demands. The emergence of connected and …
Cyber-physical models for distributed CAV data intelligence in support of self-organized adaptive traffic signal coordination control
While more studies have been focused on adaptive traffic signal control (ATSC) algorithms
to learn the control policy from interactions with the traffic environment by using connected …
to learn the control policy from interactions with the traffic environment by using connected …
Spark cloud-based parallel computing for traffic network flow predictive control using non-analytical predictive model
Y Zhang, Y Zhou, H Lu, H Fujita - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
When dealing with traffic big data under the background of Internet of Things (IoT), traffic
control under the single-machine computing environment is difficult to adapt to the massive …
control under the single-machine computing environment is difficult to adapt to the massive …