
The development of the Internet of Vehicles makes it possible to exchange information between connected vehicles, or between connected vehicles and road network controllers. Therefore, it is very possible and promising to control the traffic flow by adjusting the speeds of some connected vehicles in the future. For this reason, in this paper we study the traffic flow evolution in a three-lane road after one vehicle in this road suddenly decelerates to a specific speed, where the following vehicles can independently operate car-following or lane change operations. Considering the availability of lane change operations is associated with the road traffic flows, we divide the model of the platoon length leading by the deceleration vehicle into two modes: 1) the platoon with a stable length; 2) the platoon with an increasing length. The stable platoon length and the growth rate of the increasing platoon are modeled, respectively, where their coefficients are identified based on the simulated data in SUMO simulator.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 2 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
