Understanding real-time interaction in heterogeneous vehicular sensing: Poster abstract

Xiaoyang Xie, Fan Zhang, Desheng Zhang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

With the development of connected vehicles and autonomous vehicles, various innovative sensing services are proposed to improve the driving experience based on the vehicle to vehicle (V2V) communication. However, due to the heterogeneous mobility pattern of different vehicular fleets and the dynamic nature of the vehicles, it is hard to systematically measure the feasibility of those services in large scale before implementation. In this work, we design a measurement framework called mChat to measure the interactions among heterogeneous vehicle fleets, which is quantified by the topology of the urban vehicular fleets. mChat utilizes two key metrics, i.e., static connectivity feature and dynamic coexistence feature, to explore the feasibility of real-time vehicle to vehicle service on inner-fleet and inter-fleets. We apply mChat on one month of real-world data of a Chinese city, Shenzhen, from (i) a regular vehicle fleet with 3 thousand vehicles; (ii) a taxi fleet with 14 thousand vehicles; (iii) a bus fleet with 11 thousand vehicles; (iv) a truck fleet with 3 thousand vehicles. Our measurement results reveal interesting results related to the feasibility of V2V-based sensing service, leading to utility implications for the upcoming applications for connected vehicles and autonomous vehicles.

Original languageEnglish (US)
Title of host publicationSenSys 2019 - Proceedings of the 17th Conference on Embedded Networked Sensor Systems
EditorsMi Zhang
PublisherAssociation for Computing Machinery, Inc
Pages450-451
Number of pages2
ISBN (Electronic)9781450369503
DOIs
StatePublished - Nov 10 2019
Event17th ACM Conference on Embedded Networked Sensor Systems, SenSys 2019 - New York, United States
Duration: Nov 10 2019Nov 13 2019

Publication series

NameSenSys 2019 - Proceedings of the 17th Conference on Embedded Networked Sensor Systems

Conference

Conference17th ACM Conference on Embedded Networked Sensor Systems, SenSys 2019
Country/TerritoryUnited States
CityNew York
Period11/10/1911/13/19

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Control and Systems Engineering
  • Electrical and Electronic Engineering

Keywords

  • Vehicle to vehicle communication
  • Vehicular sensing

Fingerprint

Dive into the research topics of 'Understanding real-time interaction in heterogeneous vehicular sensing: Poster abstract'. Together they form a unique fingerprint.

Cite this