[HTML][HTML] State of data platforms for connected vehicles and infrastructures
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 …
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
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 …
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
The vehicle-to-infrastructure (V2I) communications enable a wide range of new applications,
which bring prominent benefits to the transportation system. However, malicious attackers …
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 …
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
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 …
the development of connected vehicle technologies and the popularization of ride-hailing …
Trajectory data processing and mobility performance evaluation for urban traffic networks
With the rapid development and deployment of vehicle sensing and communication
technology, vehicle trajectory data is becoming increasingly available for urban traffic …
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
We introduce smart vehicle proxemics, a conceptual framework for interactive vehicular
applications that operationalizes proxemics to outside-the-vehicle interactions. We identify …
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 …
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 …
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 …
autonomy stack. It is a challenging task to plan a trajectory for a CAV that ensures safety …