Human-Like Lane Change Decision Model for Autonomous Vehicles that Considers the Risk Perception of Drivers in Mixed Traffic [PDF]
Sensors, 2020 Determining an appropriate time to execute a lane change is a critical issue for the development of Autonomous Vehicles (AVs).However, few studies have considered the rear and the front vehicle-driver’s risk perception while developing a human-like lane ...
Chang Wang +3 more
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Impact Evaluation of Cyberattacks on Connected and Automated Vehicles in Mixed Traffic Flow and Its Resilient and Robust Control Strategy [PDF]
Sensors, 2022 Connected and automated vehicles (CAVs) present significant potential for improving road safety and mitigating traffic congestion for the future mobility system. However, cooperative driving vehicles are more vulnerable to cyberattacks when communicating
Ting Wang +6 more
doaj +2 more sources
Conditional Artificial Potential Field-Based Autonomous Vehicle Safety Control with Interference of Lane Changing in Mixed Traffic Scenario [PDF]
Sensors, 2019 Car-following is an essential trajectory control strategy for the autonomous vehicle, which not only improves traffic efficiency, but also reduces fuel consumption and emissions.
Kai Gao +6 more
doaj +2 more sources
Urban Traffic Signal Control under Mixed Traffic Flows: Literature Review
Applied Sciences, 2023 Mixed traffic flows are opening up new areas for research and are seen as key drivers in the field of data and services that will make roads safer and more environmentally friendly.
Željko Majstorović +3 more
doaj +4 more sources
Analyzing the inconsistency in driving patterns between manual and autonomous modes under complex driving scenarios with a VR-enabled simulation platform [PDF]
Journal of Intelligent and Connected Vehicles, 2022 Purpose – With the aid of naturalistic simulations, this paper aims to investigate human behavior during manual and autonomous driving modes in complex scenarios.
Zheng Xu +3 more
doaj +1 more source
Future Transportation, 2022 Road traffic crashes are a major safety problem, with one of the leading factors in crashes being human error. Automated and connected vehicles (CAVs) that are equipped with Advanced Driver Assistance Systems (ADAS) are expected to reduce human error. In
Amirhosein Karbasi, Steve O’Hern
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Optimizing Mixed Capacity of Extended Reality and Mobile Broadband Services in 5G-Advanced Networks
IEEE Access, 2023 Extended reality (XR) is an emerging technology that has gained significant attention in the context of fifth-generation (5G) and 5G-Advanced cellular networks and beyond.
Pouria Paymard +3 more
doaj +1 more source
Sensors, 2023 Automated vehicles are expected to greatly boost traffic efficiency. However, how to estimate traffic breakdown probability for the mixed flow of autonomous vehicles and human driven vehicles around ramping areas remains to be answered. In this paper, we
Lichen Su +4 more
doaj +1 more source
IEEE Access, 2021 Backgrounds: The traffic signal control (TSC) system could be more intelligently controlled by deep reinforcement learning (DRL) and information provided by connected and automated vehicles (CAVs).
Li Song, Wei Fan
doaj +1 more source
Alcohol and lipid traffic don't mix [PDF]
Hepatology, 2011 Mark A, McNiven, Carol A, Casey
openaire +2 more sources