… traffic congestion in Internet of Vehicles (IoV) environments. This paper proposes a traffic …
, traffic-flow modelling, local segment traffic congestion prediction, and origin-destination …

… V2V so that each vehicle can estimate the congestion level of the traffic and can reroute to
… A framework for traffic optimization based on vehicle rerouting to reduce traffic congestion is …

Internet of Vehicle (IoV) is a sub class of vehicular ad hoc networks with more advanced
cloud and Internet-enabled services. These networks offer various types of safety and …

… In this section, we add the updating predictive traffic flow determined by vehicle rerouting
into the traditional Webster Equation to formulate the dynamic PTSC model. Let f 1 be the …

… Meanwhile, the green traffic light duration is decided for each road based on the collected
traffic conditions. However, in the unified framework, the traffic signal control and the vehicle …

… review the traditional traffic prediction approached used by both Vehicle to Infrastructure (V2I)
and Vehicle to Vehicle (V2V) … Finally, we discuss the outlook of reliable traffic prediction. …

… large volume of traffic dataset, with the anomaly nodes eliminated. Next, the big traffic dataset
is … Finally, we designed a hybrid traffic flow prediction scheme based on LSTM (Long Short …

… traffic dataset raises a big challenge for the scientific and rational traffic resource scheduling
and traffic condition … the missing IoV data (eg, traffic flow and traffic velocity) is becoming a …

… prediction and short-term traffic prediction on recent … for vehicle traffic congestion monitoring
and evaluated the average speed of vehicles on the road sector during respective time slots. …

… an IoV traffic condition system by AIoT, identifying road conditions through recognizing video
objects in dashboard cameras and sharing with nearby cars to improve traffic safety. In the …