Predictive intelligent transportation: Alleviating traffic congestion in the internet of vehicles

L Zhang, M Khalgui, Z Li - Sensors, 2021 - mdpi.com
Due to the limitations of data transfer technologies, existing studies on urban traffic control
mainly focused on isolated dimension control such as traffic signal control or vehicle route …

Coordinated online in-vehicle routing balancing user optimality and system optimality through information perturbation

L Du, L Han, S Chen - Transportation Research Part B: Methodological, 2015 - Elsevier
The inconsistence between system optimality and user optimality represents one of the key
difficulties on network traffic congestion control. The advanced connected vehicle systems …

Network-level signal predictive control with real-time routing information

S Lin, J Dai, R Li - Transportation research part C: emerging technologies, 2023 - Elsevier
This paper presents a framework for signalized road network predictive optimization using
real-time routing information from connected vehicles (CVs). An important feature of the real …

Linear-quadratic model predictive control for urban traffic networks

T Le, HL Vu, Y Nazarathy, B Vo… - Procedia-Social and …, 2013 - Elsevier
Advancements in the efficiency, quality and manufacturability of sensing and communication
systems are driving the field of intelligent transport systems (ITS) into the twenty first century …

A system optimal speed advisory framework for a network of connected and autonomous vehicles

CHP Nguyen, NH Hoang, S Lee… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
The technological advancements involving information and communication technologies
(ICT), such as Connected and Automated Vehicles (CAVs) and the Intelligent Transport …

Adaptive and multi-path progression signal control under connected vehicle environment

Q Wang, Y Yuan, XT Yang, Z Huang - Transportation Research Part C …, 2021 - Elsevier
Through wireless communications, enriched information from connected vehicles (CVs) can
describe traffic information near an intersection and would supplement a data source for an …

Heterogeneity aware urban traffic control in a connected vehicle environment: A joint framework for congestion pricing and perimeter control

K Yang, M Menendez, N Zheng - Transportation Research Part C …, 2019 - Elsevier
Real-time control of large-scale urban networks has been attracting significant research
attention. This paper, using the information provided by connected vehicles, proposes a …

Intelligent traffic network control in the era of internet of vehicles

H Zhu, Z Wang, F Yang, Y Zhou… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
In the era of internet of vehicles, both the traffic signal control and the rerouting of connected
and autonomous vehicles (CAVs) are essential techniques to alleviate traffic congestion and …

Providing real-time en-route suggestions to CAVs for congestion mitigation: A two-way deep reinforcement learning approach

X Ma, X He - Transportation Research Part B: Methodological, 2024 - Elsevier
This research investigates the effectiveness of information provision for congestion reduction
in Connected Autonomous Vehicle (CAV) systems. The inherent advantages of CAVs, such …

Integration of regional demand management and signals control for urban traffic networks

Z Zhou, S Lin, W Du, H Liang - IEEE Access, 2019 - ieeexplore.ieee.org
Many efforts have been focused on the network-wide traffic signal optimization to deal with
the congestion problem in big cities. Nevertheless, research evidence illustrates that both …