Infrastructure-Assisted Message Dissemination for Supporting Heterogeneous Driving Patterns
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Author(s)
Related Research Unit(s)
Detail(s)
Original language | English |
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Pages (from-to) | 2865-2876 |
Journal / Publication | IEEE Transactions on Intelligent Transportation Systems |
Volume | 18 |
Issue number | 10 |
Online published | 23 Feb 2017 |
Publication status | Published - Oct 2017 |
Link(s)
Abstract
With the advances of Internet of Things technologies, individual vehicles can now exchange information to improve traffic safety, and some vehicles can further improve safety and efficiency by coordinating their mobility via cooperative driving. To facilitate these applications, many studies have been focused on the design of inter-vehicle message dissemination protocols. However, most existing designs either assume individual driving pattern or consider cooperative driving only. Moreover, few of them fully exploit infrastructures, such as cameras, sensors, and road-side units. In this paper, we address the design of message dissemination that supports heterogeneous driving patterns. Specifically, we first propose an infrastructure-assisted message dissemination framework that can utilize the capability of infrastructures. We then present a novel beacon scheduling algorithm that aims at guaranteeing the timely and reliable delivery of both periodic beacon messages for cooperative driving and event-triggered safety messages for individual driving. To evaluate the performance of the protocol, we develop both theoretical analysis and simulation experiments. Extensive numerical results confirm the effectiveness of the proposed protocol. © 2017 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission.
Research Area(s)
- analytical model, beacon, event-triggered message, Heterogeneous driving pattern, infrastructure-assisted, protocol
Citation Format(s)
Infrastructure-Assisted Message Dissemination for Supporting Heterogeneous Driving Patterns. / Liu, Bingyi; Jia, Dongyao; Lu, Kejie et al.
In: IEEE Transactions on Intelligent Transportation Systems, Vol. 18, No. 10, 10.2017, p. 2865-2876.
In: IEEE Transactions on Intelligent Transportation Systems, Vol. 18, No. 10, 10.2017, p. 2865-2876.
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review