Results 11 to 20 of about 9,744,661 (308)
IEEE Access, 2023 This study aims to generate test cases for scenario-based assessment of automated driving systems (ADS) when encounter a cut-out maneuver where the lead vehicle having changed lanes, revealing a new lead vehicle that, in some cases, is slower than the ...
H. Muslim +8 more
doaj +1 more source
World Electric Vehicle Journal, 2023 To address traffic congestion in urban expressways during the transition from wide to narrow sections, this study proposed a car-following strategy based on deep reinforcement learning.
Pinpin Qin +4 more
doaj +1 more source
Nonlinear dynamics, 2023 In this study, a car-following model is put forth to explain the car-following behavior of HDVs (human-driven vehicles), AVs (autonomous vehicles) and CAVs (connected and automated vehicles) in mixed traffic.
Ziyu Song, Haitao Ding
semanticscholar +1 more source
Comfort and Safety in Conditional Automated Driving in Dependence on Personal Driving Behavior
IEEE Open Journal of Intelligent Transportation Systems, 2023 When changing from active driving to conditional automated driving (CAD), the question arises whether users still prefer their own driving behavior while being a passenger.
Laurin Vasile +4 more
doaj +1 more source
Hybrid Car-Following Strategy Based on Deep Deterministic Policy Gradient and Cooperative Adaptive Cruise Control [PDF]
IEEE Transactions on Automation Science and Engineering, 2021 Deep deterministic policy gradient (DDPG)-based car-following strategy can break through the constraints of the differential equation model due to the ability of exploration on complex environments.
Ruidong Yan +4 more
semanticscholar +1 more source
SUMO Conference Proceedings, 2023 In this study, the physical principles governing car-following (CF) behavior and their impact on traffic flow at signalized intersections are investigated. High temporal-resolution radar data is used to provide valuable insights into actual CF behavior,
Max Schrader +2 more
doaj +1 more source
Action-points in human driving and in SUMO
SUMO Conference Proceedings, 2022 When following a vehicle, drivers change their acceleration at so called action-points (AP), and keep it constant in between them. By investigating a large data-set of car-following data, the state- and time-distributions of the APs is analyzed.
Peter Wagner +2 more
doaj +1 more source
Smart Cities, 2021 The platform of a microscopic traffic simulation provides an opportunity to study the driving behavior of vehicles on a roadway system. Compared to traditional conventional cars with human drivers, the car-following behaviors of autonomous vehicles (AVs)
H. U. Ahmed, Ying Huang, Pan Lu
semanticscholar +1 more source
TransFollower: Long-Sequence Car-Following Trajectory Prediction through Transformer [PDF]
Social Science Research Network, 2022 Car-following refers to a control process in which the following vehicle (FV) tries to keep a safe distance between itself and the lead vehicle (LV) by adjusting its acceleration in response to the actions of the vehicle ahead.
Meixin Zhu +5 more
semanticscholar +1 more source
Sustainability, 2022 Car-following behavior is the result of the interaction of various elements in the specific driver-vehicle-environment aggregation. Under the intelligent and connected condition, the information perception ability of vehicles has been significantly ...
Junyan Han, Xiaoyuan Wang, Gang Wang
semanticscholar +1 more source