Global optimality under internet of vehicles: Strategy to improve traffic safety and reduce energy dissipation

Abstract

Internet of Vehicles (IoV), which enables information exchange among vehicles, infrastructures and environment, is considered to have great potential for improving traffic. However, information delays may lead to driver's incorrect operations and have a negative impact on traffic flow. To improve traffic safety and reduce energy dissipation under IoV conditions, this paper intends to explore a more favorable driving strategy, which may weaken the adverse effects of information delays. This study regarding driving strategy is based on an improved car-following model with consideration of Global Optimality (GO-FVD model). Linear stability analysis and numerical simulations are carried out to explore the effects of Global Optimality on traffic flow. Results confirm that Global Optimality contributes to enhancing the stability and safety of traffic flow as well as depressing the energy dissipation. In particular, it is more suitable for the low-density traffic to account for Global Optimality. These results can provide theoretical support for the development of favorable driving strategy under IoV conditions, which will promote the sustainable development of intelligent transportation.