[HTML][HTML] State of data platforms for connected vehicles and infrastructures

KL Lim, J Whitehead, D Jia, Z Zheng - Communications in transportation …, 2021 - Elsevier
The continuing expansion of connected and electro-mobility products and services has led
to their ability to rapidly generate very large amounts of data, leading to a demand for …

Learning the max pressure control for urban traffic networks considering the phase switching loss

X Wang, Y Yin, Y Feng, HX Liu - Transportation Research Part C: Emerging …, 2022 - Elsevier
Previous studies have shown that the max pressure control is a throughput-optimal policy
that can stabilize the store-and-forward traffic network when the demand is within the …

A data-driven method for falsified vehicle trajectory identification by anomaly detection

SE Huang, Y Feng, HX Liu - Transportation research part C: emerging …, 2021 - Elsevier
The vehicle-to-infrastructure (V2I) communications enable a wide range of new applications,
which bring prominent benefits to the transportation system. However, malicious attackers …

Internet of things challenges and future scope for enhanced living environments

J Liu, H Hu, W Xu, D Luo - Advances in Computers, 2024 - Elsevier
Abstract The Internet of Things (IoT) has the potential to significantly ameliorate living
environments, notably by integrating smart architecture and smart cities. To actualize this …

A hidden Markov model for the estimation of correlated queues in probe vehicle environments

Y Zhao, S Shen, HX Liu - Transportation Research Part C: Emerging …, 2021 - Elsevier
Queue length estimation is critical for traffic signal control and performance measures. With
the development of connected vehicle technologies and the popularization of ride-hailing …

Trajectory data processing and mobility performance evaluation for urban traffic networks

X Wang, Z Jerome, C Zhang, S Shen… - Transportation …, 2023 - journals.sagepub.com
With the rapid development and deployment of vehicle sensing and communication
technology, vehicle trajectory data is becoming increasingly available for urban traffic …

Smart vehicle proxemics: a conceptual framework operationalizing proxemics in the context of outside-the-vehicle interactions

LB Bilius, RD Vatavu, N Marquardt - … –INTERACT 2021: 18th IFIP TC 13 …, 2021 - Springer
We introduce smart vehicle proxemics, a conceptual framework for interactive vehicular
applications that operationalizes proxemics to outside-the-vehicle interactions. We identify …

Proposals for using the advanced tools of communication between autonomous vehicles and infrastructure in selected cases

M Zawodny, M Kruszyna - Energies, 2022 - mdpi.com
The purpose of this paper is to describe solutions to yet unsolved problems of autonomous
vehicles and infrastructure communication via the Internet of Things (IoT). The paper, in the …

Data-driven evaluation methodology for active traffic management systems utilizing sparse speed data

J Robbennolt, J Hourdos - Transportation research record, 2024 - journals.sagepub.com
Many active traffic management systems and transportation systems management and
operations strategies have been evaluated for safety based on crash reduction over time …

An infrastructure-based cooperative driving framework for connected and automated vehicles

Z Yang - 2022 - deepblue.lib.umich.edu
Trajectory planning is a key component of the Connected and Automated Vehicle (CAV)
autonomy stack. It is a challenging task to plan a trajectory for a CAV that ensures safety …