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Unmanned Aerial Vehicle-Aided Intelligent Transportation Systems: Vision, Challenges, and Opportunities
With their inherent attributes such as mobility, flexibility, and adaptive altitude, Unmanned
Aerial Vehicles (UAVs) can potentially enable Intelligent Transportation Systems (ITS) to be …
Aerial Vehicles (UAVs) can potentially enable Intelligent Transportation Systems (ITS) to be …
[HTML][HTML] Large Language Models (LLMs) as Traffic Control Systems at Urban Intersections: A New Paradigm
This study introduces a novel approach for traffic control systems by using Large Language
Models (LLMs) as traffic controllers. The study utilizes their logical reasoning, scene …
Models (LLMs) as traffic controllers. The study utilizes their logical reasoning, scene …
Conflict modeling at signalized intersection: An evolutionary game theory analysis
The conflict between left-turning and straight-moving vehicles at signalized intersections
often stems from the coexistence of these movements within the same signal phase. This …
often stems from the coexistence of these movements within the same signal phase. This …
Empirical evidence of connected environment driving on fuel consumption and emissions
A connected environment allows the sharing of information that can homogenise traffic flow
by assisting drivers during their driving tasks, which may impact fuel consumption and …
by assisting drivers during their driving tasks, which may impact fuel consumption and …
Traffic Estimation of Various Connected Vehicle Penetration Rates: Temporal Convolutional Network Approach
Traffic estimation using probe vehicle data is a crucial aspect of traffic management as it
provides real-time information about traffic conditions. This study introduced a novel …
provides real-time information about traffic conditions. This study introduced a novel …
Multi-Source Urban Traffic Flow Forecasting with Drone and Loop Detector Data
Traffic forecasting is a fundamental task in transportation research, however the scope of
current research has mainly focused on a single data modality of loop detectors. Recently …
current research has mainly focused on a single data modality of loop detectors. Recently …
Pre-siting of UAV stations for traffic accident assessment considering road dispersion
S Wang, Y Shang - PloS one, 2025 - journals.plos.org
This paper investigates the issue of pre-site selection for drone stations with the aim of
enhancing the rapid assessment capability of urban road traffic accidents. Firstly, the …
enhancing the rapid assessment capability of urban road traffic accidents. Firstly, the …
Estimation of Queue Length at Signalized Intersections Using Artificial Neural Network
Signalized intersections are points in the transportation network where vehicles from various
directions meet. They are critical points for traffic jams, and this is an application of applied …
directions meet. They are critical points for traffic jams, and this is an application of applied …
Real-Time Traffic Density Estimation Using Various Connected Vehicle Penetration Rates: A New Predictive Approach
Traffic density estimation using various Market Penetration Rates (MPRs) of Connected
Vehicle (CV) data represents an area in need of continued research and refinement to fully …
Vehicle (CV) data represents an area in need of continued research and refinement to fully …
Examination of Lane Capacity at Fully Actuated Intersections
Bu çalışma, Mersin'deki tam denetimli sinyal kontrol sistemiyle yönetilen bir kavşakta şerit
kapasitesine etki eden faktörler incelenmektedir. Kapasite yönetimi, trafik akışındaki …
kapasitesine etki eden faktörler incelenmektedir. Kapasite yönetimi, trafik akışındaki …