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.
Highlights
Traffic problems such as traffic accidents, congestion, and energy consumption have aroused wide concern in modern society [1,2,3,4,5,6,7]
The purpose of this paper is to explore a driving strategy that is able to improve traffic safety and reduce energy dissipation under Internet of Vehicles (IoV) conditions
To display the linear stability results shown in Equations (20) to (22) more intuitively, Figure 2 plots the neutral stability curves for GO-full velocity difference (FVD) model, FVD model and optimal velocity (OV) model
Summary
Traffic problems such as traffic accidents, congestion, and energy consumption have aroused wide concern in modern society [1,2,3,4,5,6,7]. Intelligent Transportation System (ITS) is considered to have great potential for solving these problems [8,9,10,11,12,13,14]. Drivers will be provided with more traffic information, which supports their driving tasks. The states of vehicles are constantly changing, and transfer delays of information are common [18,19]. Drivers may receive untimely information, leading to their incorrect operations which have negative influences on traffic. How to weaken the adverse effects of transfer delays and improve traffic under IoV conditions? Besides the advances in information transmission technology, the improvement of driving strategy is of great importance as well. The question has not been extensively investigated from the perspective of driving strategy
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
