Infrastructure-Assisted Message Dissemination for Supporting Heterogeneous Driving Patterns

Bingyi Liu, Dongyao Jia*, Kejie Lu, Haibo Chen, Rongwei Yang, Jianping Wang, Yvonne Barnard, Libing Wu

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

30 Citations (Scopus)

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.

Original languageEnglish
Article number7862930
Pages (from-to)2865-2876
Number of pages12
JournalIEEE Transactions on Intelligent Transportation Systems
Volume18
Issue number10
DOIs
Publication statusPublished - Oct 2017
Externally publishedYes

Keywords

  • Heterogeneous driving pattern
  • analytical model
  • beacon
  • event-triggered message
  • infrastructure-assisted
  • protocol

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