A Multi-Objective Detector Location Optimization Approach

In transportation networks, traffic sensors are used to monitor the operation of transportation systems. A multi-objective detector location optimization is proposed. Four components are included in the objective function: (1) to cover more origin-demand pairs; (2) to obtain the maximum traffic data; (3) to maximize the gain of travel time error, and (4) to maximize the gain of travel time predication. This problem is solved by applying a distance-based, multi-objective, evolution algorithm. Numerical experiments are conducted on a small simulated network and Sioux-Falls network, respectively. An analysis about the obtained Pareto frontier is done. The results demonstrate the feasibility and effectiveness of the approach.

Language

  • English

Media Info

  • Media Type: Web
  • Features: References;
  • Pagination: pp 1788-1800
  • Monograph Title: CICTP 2014: Safe, Smart, and Sustainable Multimodal Transportation Systems

Subject/Index Terms

Filing Info

  • Accession Number: 01532359
  • Record Type: Publication
  • ISBN: 9780784413623
  • Files: TRIS, ASCE
  • Created Date: Jul 2 2014 3:03PM