Robust Resource Allocation Using Edge Computing for Vehicle to Infrastructure (V2I) Networks [PDF]
Development of autonomous and self-driving vehicles requires agile and reliable services to manage hazardous road situations. Vehicular Network is the medium that can provide high-quality services for self-driving vehicles. The majority of service requests in Vehicular Networks are delay intolerant (e.g., hazard alerts, lane change warning) and require
Kovalenko, Anna +3 more
openaire +4 more sources
Mobility and environment improvement of signalized networks through Vehicle-to-Infrastructure (V2I) communications [PDF]
Abstract Traffic signals, even though crucial for safe operations of busy intersections, are one of the leading causes of travel delays in urban settings, as well as the reason why billions of gallons of fuel are burned, and tons of toxic pollutants released to the atmosphere each year by idling engines.
Gerard Aguilar Ubiergo, Wen-Long Jin
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Vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communication in a heterogeneous wireless network – Performance evaluation [PDF]
Connected Vehicle Technology (CVT) requires wireless data transmission between vehicles (V2V), and vehicle-to-infrastructure (V2I). Evaluating the performance of different network options for V2V and V2I communication that ensure optimal utilization of resources is a prerequisite when designing and developing robust wireless networks for CVT ...
Dey, Kakan Chandra +4 more
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DSRC Technology in Vehicle-to-Vehicle (V2V) and Vehicle-to-Infrastructure (V2I) IoT System for Intelligent Transportation System (ITS): A Review [PDF]
Intelligent Transportation System (ITS) consisting of Vehicle Ad-hoc Networks (VANET) offers a major role in ensuring a safer environment in cities for drivers and pedestrians. VANET has been classified into two main parts which are Vehicle to Infrastructure (V2I) along with Vehicle to Vehicle (V2V) Communication System.
Khan, Aidil Redza +6 more
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Economic comparison between vehicle‐to‐vehicle (V2V) and vehicle‐to‐infrastructure (V2I) at freeway on‐ramps based on microscopic simulations [PDF]
The primary objective of this study is to evaluate how vehicle‐to‐vehicle (V2V) and vehicle‐to‐infrastructure (V2I) affect the traffic system economically, compared with manual vehicles (MVs). The total economic cost involves the value of time, gasoline consumption, road wear, and vehicular equipment.
Changyin Dong +4 more
openaire +2 more sources
Transportation agencies continuously and consistently work to improve the processes and systems for mitigating the impacts of roadway incidents. Such efforts include utilizing emerging technologies to reduce the detection and response time to roadway ...
Kun Zhang, Jalil Kianfar
doaj +2 more sources
Vehicle Control in Vehicle to Infrastructure (V2I) Environment
Divakar Harekal, Shekhar Banerjee
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Effective Safety Message Dissemination with Vehicle Trajectory Predictions in V2X Networks
Exploring data connection information from vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communications using advanced machine learning approaches, an intelligent transportation system (ITS) can provide better safety services to mitigate ...
Hantao Li +3 more
doaj +1 more source
DRL-based intersection traffic efficiency enhancement utilizing 5G-NR-V2I data
Recent research on reinforcement learning (RL) based traffic management shows promising results, yet it is a significant issue due to increasing volume of traffic and lack of real time traffic information.
Mohammad Sajid Shahriar +2 more
doaj +1 more source
Multipoint channel charting-based radio resource management for V2V communications
We consider a multipoint channel charting (MPCC) algorithm for radio resource management (RRM) in vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communication systems.
Hanan Al-Tous +3 more
doaj +1 more source

