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Evaluation of LSTM GAN for Trajectory Prediction in Connected and Autonomous Vehicles

International Conference on Wireless Communications and Mobile Computing
This paper introduces a novel LSTM GAN model for trajectory prediction in Connected and Autonomous Vehicles (CAVs), combining LSTM’s time-series data handling with GAN’s data generation capabilities.
Vasu Mistry   +2 more
semanticscholar   +1 more source

Quantifying the impact of connected and autonomous vehicles on traffic efficiency and safety in mixed traffic

2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC), 2020
Connected and Autonomous Vehicles (CAVs) are expected to bring major transformations to transport efficiency and safety. Studies show a range of possible impacts, from worse efficiency of CAVs at low penetration rates, to significant improvements in both
Maxime Guériau, Ivana Dusparic
semanticscholar   +1 more source

Enhancing Security and Privacy in Connected and Autonomous Vehicles: A Post-Quantum Revocable Ring Signature Approach

International Conference on Trust, Security and Privacy in Computing and Communications
Connected and autonomous vehicles (CAVs) can enhance the safety of autonomous driving systems by sharing sensing data through vehicle-to-vehicle (V2V) communication.
Qingmei Yang   +3 more
semanticscholar   +1 more source

Passenger Vehicle Avoidance Time Model For Connected and Autonomous Vehicles

2019 7th International Conference on Information and Communication Technology (ICoICT), 2019
VANET-based Connected and Autonomous Vehicle technology has the potential to improve safety hence reduce road fatalities. Many simulations in VANET develop only message dissemination protocol without considering the safe time needed between moving vehicles and these are rather inaccurate for safety preventions because communications without an ...
Oluwaseyi Jaiyeoba   +2 more
openaire   +1 more source

BDI Model of Connected and Autonomous Vehicles

2019
It is expected that connected and autonomous vehicles (CAVs) will become a regular mean of transportation by the year 2022. To fully leverage the potential of this new technology it is necessary to equip such cars with efficient algorithms permitting them to drive in a safe and optimal manner. Thereby we aim to design and implement tools for convenient
Inga Rüb, Barbara Dunin-Kȩplicz
openaire   +1 more source

Impact of Connected Vehicles and Autonomous Vehicles on Future Transportation

Bridging the East and West, 2016
Emerging vehicle technologies foreshadow a world in which sensors and software will replace humans in the driver’s seat. Connected and autonomous vehicle technologies are no longer a question of “if” but rather of “how” implementation will impact future transportation.
Pei-Sung Lin, Zhenyu Wang, Rui Guo
openaire   +1 more source

Connected and Autonomous Vehicles

2022
Stephen Parkes, Ed Ferrari
openaire   +1 more source

Guest Editorial: Connected And Autonomous Vehicles

IEEE Network, 2023
Qing Yang   +6 more
openaire   +1 more source

Towards Connected and Autonomous Vehicle Highways

Towards Connected and Autonomous Vehicle Highways, 2021
openaire   +2 more sources

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