Overview of path-planning and obstacle avoidance algorithms for UAVs: A comparative study

M Radmanesh, M Kumar, PH Guentert… - Unmanned systems, 2018 - World Scientific
Unmanned aerial vehicles (UAVs) have recently attracted the attention of researchers due to
their numerous potential civilian applications. However, current robot navigation …

Application and evaluation of the reinforcement learning approach to eco-driving at intersections under infrastructure-to-vehicle communications

J Shi, F Qiao, Q Li, L Yu, Y Hu - Transportation Research …, 2018 - journals.sagepub.com
Eco-driving behavior is able to improve vehicles' fuel consumption efficiency and minimize
exhaust emissions, especially with the presence of infrastructure-to-vehicle (I2V) …

Environment reconstruction and trajectory planning for automated vehicles driving through signal intersection

F Zong, S Yue, M Zeng, Y Liu, J Tang - Physica A: Statistical Mechanics and …, 2025 - Elsevier
Because signalized intersections are complex driving environments, driving behavior
improvement research at signalized intersections has become a hotpot in the field of …

Detection of road traffic anomalies based on computational data science

J Raiyn - Discover Internet of things, 2022 - Springer
The development of 5G has enabled the autonomous vehicles (AVs) to have full control over
all functions. The AV acts autonomously and collects travel data based on various smart …

Research on intelligent vehicle infrastructure cooperative system based on zigbee

C Dong, X Chen, H Dong, K Yang… - 2019 5th International …, 2019 - ieeexplore.ieee.org
In order to reduce travel time, fuel consumption, carbon dioxide emissions to protect the
environment and improve travel efficiency. This paper proposes an Intelligent Vehicle …

[PDF][PDF] Classification of road traffic anomaly based on travel data analysis

J Raiyn - Int. Rev. Civ. Eng, 2021 - researchgate.net
Autonomous Vehicles (AVs) collect travel data based on various smart devices and sensors,
with the goal of enabling a vehicle to operate under its own power. Fully automation vehicle …

A cloud computing based intelligent traffic control system for vehicular networks

N Gaouar, M Lehsaini - Proceedings of the 4th International Conference …, 2021 - dl.acm.org
The number of vehicles on the road increases permanently causing more and more traffic
jam and congestion which results in a lot of delay in arriving at destination. Intelligent …

Traffic operation for longer battery life of connected automated vehicles in signal-free networks

FA Mohammed, M Amirgholy - Transportmetrica B: Transport …, 2023 - Taylor & Francis
Coordinating the movement of Connected Automated Vehicles (CAVs) can significantly
improve traffic operations at signal-free intersections. However, we show there is a tradeoff …

School surrounding region traffic commuting analysis based on simulation

H Liu, H Deng, Y Li, Y Zhao, X Li - International journal of environmental …, 2022 - mdpi.com
Student commuting is an important part of urban travel demand and private car commuting
plays an important role in urban traffic, especially in areas near schools. Since parents …

Physical layer secret-key generation scheme for transportation security sensor network

B Yang, J Zhang - Sensors, 2017 - mdpi.com
Wireless Sensor Networks (WSNs) are widely used in different disciplines, including
transportation systems, agriculture field environment monitoring, healthcare systems, and …