Results 31 to 40 of about 2,449,627 (313)
Lane-changing trajectory prediction based on multi-task learning
Transportation Safety and Environment, 2023 As a complex driving behavior, lane-changing (LC) behavior has a great influence on traffic flow. Improper lane-changing behavior often leads to traffic accidents.
Xianwei Meng +3 more
semanticscholar +1 more source
Retrieving Common Discretionary Lane Changing Characteristics From Trajectories [PDF]
IEEE Transactions on Vehicular Technology, 2018 Conventional lane change methods directly collected steering angle data via onboard sensors to accurately capture the actions of individual drivers. We can hardly use such methods to collect massive data from examinees, because of time and financial costs.
Li Li 0013 +3 more
openaire +4 more sources
Trajectory generation for road vehicle obstacle avoidance using convex optimization [PDF]
, 2010 This paper presents a method for trajectory generation using convex optimization to find a feasible, obstacle-free path for a road vehicle. Consideration of vehicle rotation is shown to be necessary if the trajectory is to avoid obstacles specified in a ...
H Gollee +6 more
core +1 more source
Generating lane-change trajectories of individual drivers
2008 IEEE International Conference on Vehicular Electronics and Safety, 2008 This paper describes a method to generate vehicle trajectories of lane change paths for individual drivers. Although each driver has a consistent preferance in the lane change behavior, lane-changing time and vehicle trajectory are uncertain due to the presence of surrounding vehicles.
Yoshihiro Nishiwaki +5 more
openaire +2 more sources
Predicting Vehicles' Longitudinal Trajectories and Lane Changes on Highway On-Ramps
CoRR, 2021 Vehicles on highway on-ramps are one of the leading contributors to congestion. In this paper, we propose a prediction framework that predicts the longitudinal trajectories and lane changes (LCs) of vehicles on highway on-ramps and tapers. Specifically, our framework adopts a combination of prediction models that inputs a 4 seconds duration of a ...
Nachuan Li +3 more
openaire +2 more sources
Driver Lane Change Intention Recognition Based on Attention Enhanced Residual-MBi-LSTM Network
IEEE Access, 2022 Accurate identification of lane-changing intention can effectively assist intelligent driving vehicles in terms of decision-making and trajectory planning, which plays a significant role in enhancing driving safety by reducing traffic accidents caused by
Zhanqian Wu +3 more
doaj +1 more source
Promet (Zagreb), 2023 Urban intertunnel weaving (UIW) section is a special type of weaving section, where various lane-changing behaviours occur. To gain insight into the lane-changing behaviour in the UIW section, in this paper we attempt to analyse the decision feature and ...
Chuwei Zhao +4 more
doaj +1 more source
Modelling lane-changing mechanisms on motorway weaving sections [PDF]
, 2020 A motorway weaving section connects a pair of closely spaced entry- and exit-ramps, where intensive lane-changings of merging and diverging vehicles take place over a relatively short space. A detailed trajectory data reveal that a significant proportion
Choudhury, C, Kusuma, A, Liu, R
core +1 more source
Recent developments and research needs in modeling lane changing [PDF]
, 2014 This paper comprehensively reviews recent developments in modeling lane-changing behavior. The major lane changing models in the literature are categorized into two groups: models that aim to capture the lane changing decision-making process, and models ...
Zheng, Zuduo
core +1 more source
Lane change trajectory prediction by using recorded human driving data [PDF]
2013 IEEE Intelligent Vehicles Symposium (IV), 2013 Being able to predict the trajectory of a human driver's potential lane change behavior in urban high way scenario is crucial for lane change risk assessment task. A good prediction of the driver's lane change trajectory makes it possible to evaluate the risk and warn the driver beforehand.
Wen, Yao +3 more
openaire +3 more sources