Deployment of IoV for smart cities: Applications, architecture, and challenges

LM Ang, KP Seng, GK Ijemaru, AM Zungeru - IEEE access, 2018 - ieeexplore.ieee.org
The Internet of Vehicles (IoV) is a convergence of the mobile Internet and the Internet of
Things (IoT), where vehicles function as smart moving intelligent nodes or objects within the …

ANT-centric IoT security reference architecture—Security-by-design for satellite-enabled smart cities

KY Lam, S Mitra, F Gondesen… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
Internet of Vehicles (IoV), a special form of Internet of Things (IoT), is an important enabler of
intelligent transportation system, which is one of the most strategic applications in smart city …

Cloud-based multi-agent cooperation for IoT devices using workflow-nets

Y Kotb, I Al Ridhawi, M Aloqaily, T Baker… - Journal of Grid …, 2019 - Springer
Abstract Most Internet of Things (IoT)-based service requests require excessive computation
which exceeds an IoT device's capabilities. Cloud-based solutions were introduced to …

A cooperative lane change model for connected and automated vehicles

T Li, J Wu, CY Chan, M Liu, C Zhu, W Lu, K Hu - IEEE Access, 2020 - ieeexplore.ieee.org
The emerging technology of vehicle-to-vehicle (V2V) communication, vehicle-to-
infrastructure (V2I) communication makes it possible for vehicles to sense the environment …

Architecture design and implementation of an autonomous vehicle

W Zong, C Zhang, Z Wang, J Zhu, Q Chen - IEEE access, 2018 - ieeexplore.ieee.org
Architecture design is one of the most important problems for an intelligent system. In this
paper, a practical framework of hardware and software is proposed to reveal the external …

Optimal route algorithm considering traffic light and energy consumption

L Hu, Y Zhong, W Hao, B Moghimi, J Huang… - Ieee …, 2018 - ieeexplore.ieee.org
Vehicle speed trajectory and traffic signals significantly impact vehicle's fuel consumption
and travel time in the urban road network. In this paper, we proposed an optimal vehicle …

Machine learning approach for predicting lane-change maneuvers using the SHRP2 naturalistic driving study data

A Das, MM Ahmed - Transportation research record, 2021 - journals.sagepub.com
Accurate lane-change prediction information in real time is essential to safely operate
Autonomous Vehicles (AVs) on the roadways, especially at the early stage of AVs …

A multilane cellular automaton multi-attribute lane-changing decision model

JH Deng, HH Feng - Physica A: Statistical Mechanics and its Applications, 2019 - Elsevier
Through exploring driver's lane-changing decision mechanism, we divide the lane-changing
decision-making process into two stages, ie lane-changing motivation and lane-changing …

Time difference penalized traffic signal timing by LSTM Q-network to balance safety and capacity at intersections

L Liao, J Liu, X Wu, F Zou, J Pan, Q Sun, SE Li… - IEEE …, 2020 - ieeexplore.ieee.org
The conflict between limited road resources and rapid car ownership makes the traffic signal
timing become a pivotal challenge. Emerging studies have been carried out on adaptive …

[HTML][HTML] A cooperative lane change control strategy for connected and automated vehicles by considering preceding vehicle switching

K Sun, X Zhao, S Gong, X Wu - Applied Sciences, 2023 - mdpi.com
The cooperative lane change among several connected and automated vehicles (CAVs)
provides ideas for enhancing the traffic safety and efficiency issues caused by lane changes …