Analysis of time-and space-domain sampling for probe vehicle-based traffic information system

Jun Hong, Xuedan Zhang, Jianshu Chen, Zhongya Wei, Jiannong Cao, Yong Ren

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

5 Citations (Scopus)

Abstract

Using vehicles as probes is a flexible and low-cost way to obtain real-time traffic information. A key problem of using probe vehicles is to determine vehicle's sampling period and probe sample size. This paper addresses the sampling issue of using probe vehicles for detecting traffic information. An extended Nyquist sampling theorem based on signal processing theory is proposed to derive bounds on the sampling period and probe sample size. We also develop a Traffic & Informationcollecting Simulation Platform (TISP), to simulate the traffic flows in a road network and generate probe vehicle data for analysis. We demonstrate through simulations that the traffic situations can be reconstructed from the samples without distortion according to the designed sampling period and sample size. The methods proposed in this paper can be a valuable tool for designers on planning parameters in the probe vehicle-based traffic information system.
Original languageEnglish
Title of host publication10th International IEEE Conference on Intelligent Transportation Systems, ITSC 2007
Pages836-841
Number of pages6
DOIs
Publication statusPublished - 1 Dec 2007
Event10th International IEEE Conference on Intelligent Transportation Systems, ITSC 2007 - Seattle, WA, United States
Duration: 30 Sep 20073 Oct 2007

Conference

Conference10th International IEEE Conference on Intelligent Transportation Systems, ITSC 2007
Country/TerritoryUnited States
CitySeattle, WA
Period30/09/073/10/07

ASJC Scopus subject areas

  • Automotive Engineering
  • Mechanical Engineering
  • Computer Science Applications

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