Estimation of network origin-destination demands using heterogeneous vehicle sensor information

An optimal sensor deployment policy

Shou-Ren Hu, Han Tsung Liou

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

2 Citations (Scopus)

Abstract

Motorists' trip Origin-Destination (O-D) demand in a vehicular network is one of the critical components for transportation applications. Specially, for transportation planning, trip O-D demand information depicts the travel pattern of travelers in a given time period, whereas in traffic engineering practice, similar information is beneficial to effectively determine the optimal traffic control strategies. Because of the rapid development of intelligent transportation systems (ITS), trip O-D demand matrices can be directly or indirectly estimated by the specific traffic information obtained from advanced sensor technologies without confronting the problems associated with traditional O-D demand survey approaches. These advanced sensor technologies include passive-type vehicle detectors (VDs) and active-type sensors, such as automatic vehicle identification (AVI). However, due to a budgetary constraint of highway agencies, it is very difficult to deploy various types of sensors in a full-scale manner. Thereby, determination of a desirable sensor deployment plan in terms of the number of sensors installed and the optimal locations for network O-D demand estimation purpose becomes a crucial issue. In the present research, the sensor location problem is formulated as a nonlinear program by incorporating traffic flow information provided by both active- and passive-type sensors, and the problem is solved by a quadratic programming approach. Numerical analysis based on a simplified real network is conducted to demonstrate the performance of the proposed model framework.

Original languageEnglish
Title of host publication2011 IEEE Forum on Integrated and Sustainable Transportation Systems, FISTS 2011
Pages85-90
Number of pages6
DOIs
Publication statusPublished - 2011 Sep 9
Event2011 IEEE Forum on Integrated and Sustainable Transportation Systems, FISTS 2011 - Vienna, Austria
Duration: 2011 Jun 292011 Jul 1

Publication series

Name2011 IEEE Forum on Integrated and Sustainable Transportation Systems, FISTS 2011

Other

Other2011 IEEE Forum on Integrated and Sustainable Transportation Systems, FISTS 2011
CountryAustria
CityVienna
Period11-06-2911-07-01

Fingerprint

demand
Sensors
traffic
information flow
traffic control
Automatic vehicle identification
transportation system
programming
travel
Quadratic programming
Traffic control
engineering
planning
Numerical analysis
performance
Detectors
Planning
time

All Science Journal Classification (ASJC) codes

  • Renewable Energy, Sustainability and the Environment
  • Transportation

Cite this

Hu, S-R., & Liou, H. T. (2011). Estimation of network origin-destination demands using heterogeneous vehicle sensor information: An optimal sensor deployment policy. In 2011 IEEE Forum on Integrated and Sustainable Transportation Systems, FISTS 2011 (pp. 85-90). [5973615] (2011 IEEE Forum on Integrated and Sustainable Transportation Systems, FISTS 2011). https://doi.org/10.1109/FISTS.2011.5973615
Hu, Shou-Ren ; Liou, Han Tsung. / Estimation of network origin-destination demands using heterogeneous vehicle sensor information : An optimal sensor deployment policy. 2011 IEEE Forum on Integrated and Sustainable Transportation Systems, FISTS 2011. 2011. pp. 85-90 (2011 IEEE Forum on Integrated and Sustainable Transportation Systems, FISTS 2011).
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abstract = "Motorists' trip Origin-Destination (O-D) demand in a vehicular network is one of the critical components for transportation applications. Specially, for transportation planning, trip O-D demand information depicts the travel pattern of travelers in a given time period, whereas in traffic engineering practice, similar information is beneficial to effectively determine the optimal traffic control strategies. Because of the rapid development of intelligent transportation systems (ITS), trip O-D demand matrices can be directly or indirectly estimated by the specific traffic information obtained from advanced sensor technologies without confronting the problems associated with traditional O-D demand survey approaches. These advanced sensor technologies include passive-type vehicle detectors (VDs) and active-type sensors, such as automatic vehicle identification (AVI). However, due to a budgetary constraint of highway agencies, it is very difficult to deploy various types of sensors in a full-scale manner. Thereby, determination of a desirable sensor deployment plan in terms of the number of sensors installed and the optimal locations for network O-D demand estimation purpose becomes a crucial issue. In the present research, the sensor location problem is formulated as a nonlinear program by incorporating traffic flow information provided by both active- and passive-type sensors, and the problem is solved by a quadratic programming approach. Numerical analysis based on a simplified real network is conducted to demonstrate the performance of the proposed model framework.",
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Hu, S-R & Liou, HT 2011, Estimation of network origin-destination demands using heterogeneous vehicle sensor information: An optimal sensor deployment policy. in 2011 IEEE Forum on Integrated and Sustainable Transportation Systems, FISTS 2011., 5973615, 2011 IEEE Forum on Integrated and Sustainable Transportation Systems, FISTS 2011, pp. 85-90, 2011 IEEE Forum on Integrated and Sustainable Transportation Systems, FISTS 2011, Vienna, Austria, 11-06-29. https://doi.org/10.1109/FISTS.2011.5973615

Estimation of network origin-destination demands using heterogeneous vehicle sensor information : An optimal sensor deployment policy. / Hu, Shou-Ren; Liou, Han Tsung.

2011 IEEE Forum on Integrated and Sustainable Transportation Systems, FISTS 2011. 2011. p. 85-90 5973615 (2011 IEEE Forum on Integrated and Sustainable Transportation Systems, FISTS 2011).

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

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Hu S-R, Liou HT. Estimation of network origin-destination demands using heterogeneous vehicle sensor information: An optimal sensor deployment policy. In 2011 IEEE Forum on Integrated and Sustainable Transportation Systems, FISTS 2011. 2011. p. 85-90. 5973615. (2011 IEEE Forum on Integrated and Sustainable Transportation Systems, FISTS 2011). https://doi.org/10.1109/FISTS.2011.5973615