The number of vehicles on the road increases daily, causing many fatal accidents and wasting much time for average commuter every day due to congestion. Vehicular ad hoc networks (VANETs) were introduced overcome these issues by enabling vehicle-to-vehicle communication vehicle-to-infrastructure communication. prime challenge in VANETs is necessity very low delays, especially safety-related app...

The IEEE 802.11(p)/1609 network is a promising candidate for future vehicular communication networks. In this new network, the operation of a new Wave Basic Service set (WBSS) is defined for vehicular environments. Due to the deployment cost consideration, roadside units (RSUs) in such networks are usually installed only at hot spots and intersections, causing the service coverage of RSUs to be...

Vehicle-to-Everything (V2X) network has enabled collaborative perception in autonomous driving, which is a promising solution to the fundamental defect of stand-alone intelligence including blind zones and long-range perception. However, lack datasets severely blocked development algorithms. In this work, we release DOLPHINS: Dataset for cOllaborative Perception Harmonious INterconnected Self-d...

Vehicular Communication Systems are an emerging t ype of networks in which vehicles and roadside units are the communicating nodes; providing each other with information, such as safety warnings and traffic information. VANET is a self-organized n e t wo r k , connecting the ve h i c l e s and RSUs, and the RSUs can be connected to a backbone network, so that many other network applications and...

Rogue nodes in the Internet of vehicles (IoV) bring traffic congestion, vehicle collision accidents and other problems, which will cause great social losses. Therefore, rogue node discovery plays an important role building secure IoV environments. Existing machine learning-based detection methods rely too much on historical data, these may lead to long network delay slow speed. Moreover, based ...

Connected vehicles in vehicular networks will lead to a smart and autonomous transportation system. These have large number of applications that require wireless connectivity by using cellular vehicle-to-everything (C-V2X). The infrastructure C-V2X comprises multiple roadside units (RSUs) provide direct with the on-road vehicles. Vehicular traffic are mainly categorized into three major groups ...

In Vehicular Ad-hoc Networks (VANET), vehicles act like mobile nodes for fetching, sharing, and disseminating important information related to vehicle safety, warning messages, emergency events, passenger infotainment. Due continuous sharing of with their surrounding nodes, Road Side Units (RSUs), infrastructures, the existing host-centric IP-based network cannot fulfill requirements VANETs. Th...

Multiple cell classes have been found in the primary visual cortex, but the relationship between cell types and spatial summation has seldom been studied. Parvalbumin-expressing inhibitory interneurons can be distinguished from pyramidal neurons based on their briefer action potential durations. In this study, we classified V1 cells into fast-spiking units (FSUs) and regular-spiking units (RSUs...

Traffic congestion has adverse consequences on the safety, economy and environment. The loss of productivity due to delays stemming from traffic jams, and increased fuel consumption leads to adverse economic consequences. For example, traffic congestion alone costs the USA 2.8 billion gallons of wasted fuel and a productivity loss of 4.2 billion hours per year [1]. Different studies [2], [3] ha...