Sep 2026· Journal of Intelligent Transportation Systems· Vol 30, pp. 1004 - 1019· 2 citations· 51 references
TL;DR
An automated method is proposed to extract 122 CLC events from the HighD dataset and analyzes the key characteristics of duration, mean speed, relative speed between the subject vehicle (SV) and the original lane’s preceding vehicle (OPV), safety, and impact on the target lane’s following vehicle (TFV).
Growing traffic is a major concern worldwide, impacting both transportation system performance and road safety. In India, these challenges are intensified by highly heterogeneous traffic, highlighting the need to examine flow characteristics and driving behavior under mixed-class, non-lane-disciplined conditions. T...
K. Avinash, J. Athira, Rajesh Chouhan et al.· Journal of Transportation En...· 0 citations
This paper investigates the impacts of driving-style heterogeneity on safety, interaction efficiency, and comfort in discretionary and mandatory lane-changing interaction scenarios. Leveraging two naturalistic driving datasets, highD and exiD, complete lane-changing interactions are extracted through data processing, a...
Ang Ji, Qi-Ruo Yan, Zhan-Bo Sun et al.· Transportation Research Reco...· 0 citations
This paper investigates sideway lane changing in complex traffic scenarios around large-sized vehicles from a microscopic perspective by incorporating vehicle dimensions into the driving risk potential field (DRPF) model. Large-sized vehicles generate a stronger DRPF, which extends into adjacent lanes, enabling effecti...
Ru Ling, Hong Guo, Meng Li et al.· Accident Analysis and Preven...· 0 citations
In the field of transportation, road vehicle automation has improved in many ways, and it has also introduced challenges for existing systems. A major problem in autonomous driving is predicting lane changes, because it affects the traffic behavior at both the individual and system levels. Considering safety, driving c...
Nasim Shahanwaj Kothiwale, N. Meenakshi, Nasim Husen Sayyad· 2026 International Conferenc...· 0 citations
To evaluate the dynamic risks of nonmotorized vehicle lane-changing, this study develops an analytical framework based on extreme value theory. Vehicle trajectories were extracted from unmanned aerial vehicle footage using the YOLOv8s (You Only Look Once) object detection model and the ByteTrack multiobject trackin...
Yuzhou Duan, Shaohong Chang, Jiawen Wang et al.· Journal of Transportation En...· 0 citations
The introduction of Connected and Autonomous Vehicles (CAVs) into the existing traffic system represents one of the greatest challenges of modern road traffic engineering. Beyond their role as active traffic participants, CAVs can also be regarded as mobile (floating) sensors, effectively turning the vehicle fleet itse...
Lucija Bukvić, M. Gregurić, Filip Vrbanić et al.· Vehicles· 0 citations
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