State-of-the-art review on traffic control strategies for emergency vehicles

W Yu, W Bai, W Luan, L Qi - IEEE Access, 2022 - ieeexplore.ieee.org
Emergency vehicles (EVs) play an essential role in emergency services. One of the most
intuitive indicators of the emergency service process is the response time of EVs. This …

Cooperative method of traffic signal optimization and speed control of connected vehicles at isolated intersections

B Xu, XJ Ban, Y Bian, W Li, J Wang… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Signalized intersections play an important role in transportation efficiency and vehicle fuel
economy in urban areas. This paper proposes a cooperative method of traffic signal control …

Leveraging multiagent learning for automated vehicles scheduling at nonsignalized intersections

Y Xu, H Zhou, T Ma, J Zhao, B Qian… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
Recent advancements of Vehicle-to-Everything (V2X) communication combined with
artificial intelligence (AI) technologies have shown enormous potentials for improving traffic …

Implementing transit signal priority in a connected vehicle environment with and without bus stops

K Yang, M Menendez, SI Guler - Transportmetrica B: Transport …, 2019 - Taylor & Francis
Connected vehicles give more precise and detailed information on vehicle movements, thus
can be beneficial to provide priority to public transportation. This paper proposes a transit …

Cycle-based end of queue estimation at signalized intersections using low-penetration-rate vehicle trajectories

H Zhang, HX Liu, P Chen, G Yu… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Queue length is a crucial measure of intersection performance. Probe vehicles (PVs) with
advanced sensors are capable of recording vehicle trajectories that can be used to estimate …

A gain with no pain: Exploring intelligent traffic signal control for emergency vehicles

M Cao, VOK Li, Q Shuai - IEEE Transactions on Intelligent …, 2022 - ieeexplore.ieee.org
For the emergency response, every second counts. Intersections are prone to congestion,
which greatly hinders the fast response of emergency vehicles. Although emergency …

Adaptive traffic signal control mechanism for intelligent transportation based on a consortium blockchain

X Zhang, D Wang - IEEE Access, 2019 - ieeexplore.ieee.org
The development of vehicular ad-hoc networks (VANETs) has facilitated adaptive traffic
signal control for intelligent transportation. In this paper, we proposed the traffic signal …

Interactive planning for autonomous driving in intersection scenarios without traffic signs

C Xia, M Xing, S He - IEEE Transactions on Intelligent …, 2022 - ieeexplore.ieee.org
Efficient intersection planning is one of the most challenging tasks for an autonomous
vehicle at present. Politeness to other traffic participants and reaction to surrounding …

Adaptive traffic signal control algorithms based on probe vehicle data

F Lian, B Chen, K Zhang, L Miao, J Wu… - Journal of Intelligent …, 2021 - Taylor & Francis
In this paper, two new adaptive traffic signal control algorithms are proposed based on data
from probe vehicles to realize the coordinated signal control of arterial roads. One is an …

Estimating maximum queue length for traffic lane groups using travel times from video-imaging data

D Ma, X Luo, S Jin, W Guo… - IEEE Intelligent …, 2018 - ieeexplore.ieee.org
Queue length is an important measure that helps traffic managers collect and evaluate
feedback about traffic signal control. Some mobile-sensor-based approaches developed in …