Objective In the last few years, several techniques and models are used for retrieving
significant information from urban big data of smart cities. This research work aims at …

The vehicular adhoc network (VANET) is an emerging research topic in the intelligent
transportation system that furnishes essential information to the vehicles in the network …

Smart cities have been developed over the past decade, and reducing traffic congestion has
been the top concern in smart city development. Short delays in communication between …

In the development of smart cities, the intelligent transportation system (ITS) plays a major
role. The dynamic and chaotic nature of the traffic information makes the accurate …

Traffic parameter forecasting is critical to effective traffic management but is a challenging
task due to the stochasticity of traffic flow characteristics, especially in urban road networks …

The paper aims to explore the performance of short-term traffic flow prediction of the 5G (5th
Generation Mobile Communication Technology) Internet of Vehicles (IoV) based on edge …

Traffic congestion is a thorny issue to many large and medium-sized cities, posing a serious
threat to sustainable urban development. Recently, intelligent traffic system (ITS) has …

Recently, different techniques have been applied to detect, predict, and reduce traffic
congestion to improve the quality of transportation system services. Deep learning (DL) is …

Traffic flow analysis is fundamental for urban planning and management of road traffic
infrastructure. Automatic number plate recognition (ANPR) systems are conventional …

Accurate traffic forecast is a key task for planning transport infrastructure and real-time
optimisation of traffic in large cities. The models used in professional literature usually …