Estimation of real-time origin-destination flow using mobile sensor network

Zijia Zhong, Joyoung Lee

Research output: Contribution to conferencePaperpeer-review

Abstract

This paper proposes an analytical framework to deal with dynamic O-D estimation under the environment of mobile sensor network. With route travel information for each O-D pair and link traffic counts data, a Kalman Filter-based O-D estimation approach is proposed to bypass traffic assignment matrix. To this end, this paper exploits real-time route travel time information captured by both Bluetooth-based sensing technology and roadway traffic counts information by high resolution microwave sensors being deployed for real-time work zone monitoring system in New Jersey, USA. The proposed dynamic O-D estimation framework will be applied for the implementation of work zone management system to estimate and predict alternative routes for work zone area.

Original languageEnglish (US)
StatePublished - Jan 1 2014
Event21st World Congress on Intelligent Transport Systems: Reinventing Transportation in Our Connected World, ITSWC 2014 - Detroit, United States
Duration: Sep 7 2014Sep 11 2014

Other

Other21st World Congress on Intelligent Transport Systems: Reinventing Transportation in Our Connected World, ITSWC 2014
CountryUnited States
CityDetroit
Period9/7/149/11/14

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Mechanical Engineering
  • Automotive Engineering
  • Transportation
  • Electrical and Electronic Engineering

Keywords

  • Bluetooth
  • Kalman filter
  • Mobile sensor network
  • TrEPS
  • Work zone management

Fingerprint Dive into the research topics of 'Estimation of real-time origin-destination flow using mobile sensor network'. Together they form a unique fingerprint.

Cite this