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 …

Impacts of connected and automated vehicles on road safety and efficiency: A systematic literature review

A Matin, H Dia - IEEE Transactions on Intelligent Transportation …, 2022‏ - ieeexplore.ieee.org
Connected and automated vehicles (CAVs), in the context of cooperative intelligent
transportation systems (C-ITS), are capable of exchanging information with each other and …

Review on the impacts of cooperative automated driving on transportation and environment

Z Zhang, H Liu, M Lei, X Yan, M Wang, J Hu - Transportation Research Part …, 2023‏ - Elsevier
This research conducts a comprehensive review on the social impacts of Cooperative
Automated Driving (CAD), including Infrastructure Enabled Autonomy (IEA). In order for …

Development of a simulation platform for safety impact analysis considering vehicle dynamics, sensor errors, and communication latencies: Assessing cooperative …

L Cui, J Hu, BB Park, P Bujanovic - Transportation research part C …, 2018‏ - Elsevier
While safety is one of the most critical contributions of Cooperative Adaptive Cruise Control
(CACC), it is impractical to assess such impacts in a real world. Even with simulation, many …

OCC-MP: A Max-Pressure framework to prioritize transit and high occupancy vehicles

T Ahmed, H Liu, VV Gayah - Transportation Research Part C: Emerging …, 2024‏ - Elsevier
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 …

Impact of cyberattacks on safety and stability of connected and automated vehicle platoons under lane changes

ZH Khattak, BL Smith, MD Fontaine - Accident Analysis & Prevention, 2021‏ - Elsevier
Connected and automated vehicles (CAVs) offer a huge potential to improve the operations
and safety of transportation systems. However, the use of smart devices and …

Towards the next level of vehicle automation through cooperative driving: A roadmap from planning and control perspective

H Wang, Y Feng, Y Tian, Z Wang, J Hu… - IEEE Transactions on …, 2024‏ - ieeexplore.ieee.org
Cooperative Driving Automation (CDA) stands at the forefront of the evolving landscape of
vehicle automation, elevating driving capabilities within intricate real-world environments …

Deep reinforcement learning for transit signal priority in a connected environment

M Long, X Zou, Y Zhou, E Chung - Transportation Research Part C …, 2022‏ - Elsevier
Transit signal priority (TSP) is an effective measure to reduce traffic congestion and improve
bus efficiency in metropolises. The connected vehicle technology and reinforcement …

Adaptive signal control for bus service reliability with connected vehicle technology via reinforcement learning

AHF Chow, ZC Su, EM Liang, RX Zhong - Transportation Research Part C …, 2021‏ - Elsevier
This paper presents an adaptive signal controller for managing traffic delays and urban bus
service reliability with fully adaptable acyclic timing plans. The signal controller is built upon …

[HTML][HTML] Bi-objective robust nonlinear decision approach for en-route bus speed control considering implementation errors and traffic uncertainties

P Liu, L Zheng, N Zheng - Transportation Research Part C: Emerging …, 2024‏ - Elsevier
This study proposes a bi-objective robust nonlinear decision map** (Bi-RNDM) approach
for en-route bus speed control, aiming to enhance bus service level and reliability. Through …