Adaptive traffic signal control plays a crucial role in enhancing the traffic situation in urban
cities. Recently, reinforcement learning-based methods have demonstrated remarkable …

In vehicular ad hoc networks (VANETs), efficient data dissemination to a specified number of
vehicles with minimum collisions and limited access delay is critical for accident prevention …

In urban vehicular ad hoc networks (VANETs), the complex channel environment and co-
channel interference resulted in the uncertain delay of inter-vehicle packet transmission …

The paper aims to ensure that traffic parameters are simultaneously available between
sparse sensors, and to improve the traffic efficiency of expressways and achieve the …

The cooperative data download in vehicular ad hoc networks (VANETs) is attracting more
and more attention since a great number of services and applications, which aim at …

Internet of Vehicles (IoV) is gradually becoming popular, but it also brings more
opportunities for malware intrusion. The intrusion of malware into IoV will cause a series of …

Vehicular ad hoc network (VANET) brings an excellent solution to ensure road safety and
transportation efficiency in critical environment like tunnel. Particularly, radio link connectivity …

We present in this paper a versatile machine learning (ML) based vehicle-to-vehicle (V2V)
connectivity model constructed from empirical measurements to enable the mutual …

Abstract Vehicular Ad Hoc Networks (VANETs) provide safety management and
entertainment services in smart city scenarios. However, due to the highly time-varying …

Vehicular network connectivity within Intelligent Transport Systems (ITS) is essential for
enabling seamless data and resource sharing, including transmitting critical safety …