[HTML][HTML] Vehicle connectivity and automation: a sibling relationship

P Ha, S Chen, R Du, J Dong, Y Li… - Frontiers in Built …, 2020 - frontiersin.org
The evolution of scientific advances has often been characterized by the amalgamation of
two or more technologies. With respect to vehicle connectivity and automation, recent …

A survey on cooperative longitudinal motion control of multiple connected and automated vehicles

Z Wang, Y Bian, SE Shladover, G Wu… - IEEE Intelligent …, 2019 - ieeexplore.ieee.org
Connected and automated vehicles (CAVs) have the potential to address a number of
safety, mobility, and sustainability issues of our current transportation systems. Cooperative …

A mixed traffic capacity analysis and lane management model for connected automated vehicles: A Markov chain method

A Ghiasi, O Hussain, ZS Qian, X Li - Transportation Research Part B …, 2017 - Elsevier
The projected rapid growth of the market penetration of connected and autonomous vehicle
technologies (CAV) highlights the need for preparing sufficient highway capacity for a mixed …

A literature review of energy optimal adaptive cruise control algorithms

S Vasebi, YM Hayeri, AM Saghiri - IEEE Access, 2023 - ieeexplore.ieee.org
Transportation sector and its impacts on climate change have received much attention over
the last decade. Energy-optimal vehicle control algorithms such as adaptive cruise control …

Leveraging the capabilities of connected and autonomous vehicles and multi-agent reinforcement learning to mitigate highway bottleneck congestion

PYJ Ha, S Chen, J Dong, R Du, Y Li, S Labi - arXiv preprint arXiv …, 2020 - arxiv.org
Active Traffic Management strategies are often adopted in real-time to address such sudden
flow breakdowns. When queuing is imminent, Speed Harmonization (SH), which adjusts …

A piecewise trajectory optimization model for connected automated vehicles: Exact optimization algorithm and queue propagation analysis

X Li, A Ghiasi, Z Xu, X Qu - Transportation Research Part B …, 2018 - Elsevier
This paper formulates a simplified traffic smoothing model for guiding movements of
connected automated vehicles on a general one-lane highway segment. Adapted from the …

How is driving volatility related to intersection safety? A Bayesian heterogeneity-based analysis of instrumented vehicles data

B Wali, AJ Khattak, H Bozdogan, M Kamrani - Transportation research part …, 2018 - Elsevier
Driving behavior in general is considered a leading cause of intersection related traffic
crashes. However, due to unavailability of real-world driving data, intersection safety …

Physics-aware learning-based vehicle trajectory prediction of congested traffic in a connected vehicle environment

H Yao, X Li, X Yang - IEEE Transactions on Vehicular …, 2022 - ieeexplore.ieee.org
The physics of shockwaves is a fundamental traffic characteristic that is useful for
microscopic traffic flow modeling. Thanks to connected vehicle technologies, it is possible to …

Dynamic speed harmonization in connected urban street networks

M Tajalli, A Hajbabaie - Computer‐Aided Civil and …, 2018 - Wiley Online Library
Connected vehicle technology, the Internet of Things, and other advanced communication
technologies create possibilities to facilitate the movement of vehicles through transportation …

Leveraging vehicle connectivity and autonomy for highway bottleneck congestion mitigation using reinforcement learning

P Ha, S Chen, J Dong, S Labi - Transportmetrica A: Transport …, 2023 - Taylor & Francis
Automation and connectivity based platforms have great potential for managing highway
traffic congestion including bottlenecks. Speed harmonisation (SH), one of such platforms, is …