Reliable sensor deployment for network traffic surveillance

New sensor technologies enable synthesis of disaggregated vehicle information from multiple locations. This paper proposes a reliable facility location model to optimize traffic surveillance benefit from synthesized sensor pairs (e.g., for travel time estimation) in addition to individual sensor flow coverage (e.g., for traffic volume statistics), while considering probabilistic sensor failures. Customized greedy and Lagrangian relaxation algorithms are proposed to solve this problem, and their performance is discussed. Numerical results show that the proposed algorithms solve the problem efficiently. The authors also discuss managerial insights on how optimal sensor deployment and surveillance benefits vary with surveillance objective and system parameters (such as sensor failure probabilities).

• Record URL:
  http://www.sciencedirect.com/science/article/B6V99-501CFXM-2/2/914865082e31f490085ba44be33ee04c
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/01912615
• Supplemental Notes:
  • Abstract reprinted with permission from Elsevier.
• Authors:
  • Li, Xiaopeng
  • Ouyang, Yanfeng
• Publication Date: 2011-1

Language

• English

Media Info

• Media Type: Print
• Features: Appendices; Bibliography; Figures; References; Tables;
• Pagination: pp 218-231
• Serial:
  • Transportation Research Part B: Methodological
  • Volume: 45
  • Issue Number: 1
  • Publisher: Elsevier
  • ISSN: 0191-2615
  • Serial URL: http://www.sciencedirect.com/science/journal/01912615

Subject/Index Terms

• TRT Terms: Algorithms; Optimization; Reliability; Sensors; Traffic surveillance
• Uncontrolled Terms: Data synthesis; Location models; Traffic networks
• Subject Areas: Highways; Operations and Traffic Management; Planning and Forecasting;

Filing Info

• Accession Number: 01323877
• Record Type: Publication
• Files: TRIS, ATRI
• Created Date: Dec 28 2010 1:30PM