Large-Scale VANET Simulations and Performance Analysis using Real Taxi Trace and City Map Data

Pietro Carnelli, Mahesh Sooriyabandara, Eddie Wilson

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

347 Downloads (Pure)

Abstract

Wireless vehicular ad-hoc networks comprised solely of city taxis are investigated for their ability to deliver data across an urban environment. Openly available taxi trace datasets for Rome (Italy) and San Francisco (USA) are combined with respective building footprint and road network topology data from OpenStreetMap, to generate a realistic systems level model of a taxi V2V network. Analysis of LOS and NOLOS constraints on wireless transmission range suggests a minimum threshold of 50m is applicable to ensure LOS in 99\% of cases. Variations in taxi location sampling frequency and filtering techniques for the taxi trace datasets are also investigated. Overall vehicular network performance is computed for an all-to-one transmission scenario for both cities with varying taxi fleet size. Results suggest a non-linear relationship between increases in taxi fleet sizes and the reduction of end-to-end delay; doubling taxi fleet size (using a randomised data folding technique) reduces end-to-end delay by a factor of 0.6--0.7. However, doubling the fleet does not increase the fraction of delivered source messages, which saturates at 0.67--0.71 in most simulations. Finally it appears that taxi networks for delivering messages across urban environments are limited more by their routing than by the number of possible V2V exchanges. In a simulated one-to-all continuous V2V broadcast scenario, over 90\% of the taxis within the fleet receive the source message within one hour of the original taxi passing the source node.
Original languageEnglish
Title of host publication2018 IEEE Vehicular Networking Conference (VNC 2018)
Subtitle of host publication5-7 December 2018 in Taipei, Taiwan
EditorsMate Boban, Kate Lin, Hsin-Mu Tsai, Onur Altintas, Chih-Yu Wang, Taylan Sahin
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Number of pages8
Volume2018-December
ISBN (Electronic)9781538694282
ISBN (Print)9781538694299
DOIs
Publication statusPublished - 31 Jan 2019
Event2018 IEEE Vehicular Networking Conference, VNC 2018 - Taipei, Taiwan, Taipei, Taiwan
Duration: 5 Dec 20187 Dec 2018

Publication series

NameIEEE Vehicular Networking Conference (VNC)
PublisherIEEE
Volume2018
ISSN (Print)2157-9857
ISSN (Electronic)2157-9865

Conference

Conference2018 IEEE Vehicular Networking Conference, VNC 2018
CountryTaiwan
CityTaipei
Period5/12/187/12/18

Keywords

  • Public transportation
  • urban areas
  • vehicular ad hoc networks
  • Roads
  • data models
  • buildings
  • Wireless communication
  • VANET
  • V2V
  • V2X
  • network simulator
  • delay tolerant
  • sensor networks

Fingerprint Dive into the research topics of 'Large-Scale VANET Simulations and Performance Analysis using Real Taxi Trace and City Map Data'. Together they form a unique fingerprint.

Cite this