Optimal Traffic Resource Allocation and Management

Details

• Creators:
  Keskin, Burcu B. ; Parrish, Allen
• Corporate Creators:
  University of Alabama. Department of Information Systems, Statistics, and Management Science
• Corporate Contributors:
  University Transportation Center for Alabama
• Subject/TRT Terms:
  • Police patrol
  • Police operations
  • Route choice
  • Traffic patrol
  • Resource allocation
  • Research Hub
  • Resource allocation
  • Police operations
  • Route choice
• Publication/ Report Number:
  UTCA Report Number 09104
• Resource Type:
  Tech Report
• Geographical Coverage:
  Alabama ; United States
• Corporate Publisher:
  University Transportation Center for Alabama
• Abstract:
  In this paper, we address the problem of determining the patrol routes of state troopers for maximum coverage of highway spots with high frequencies of crashes (hot spots). We develop a mixed integer linear programming model for this problem under time feasibility and budget limitation. We solve this model using local and tabu-search based heuristics. Via extensive computational experiments using randomly generated data, we test the validity of our solution approaches. Furthermore, using data from the state of Alabama, we provide recommendations for i) critical levels of coverage; ii) factors influencing the service measures; and iii) dynamic changes in routes.
• Format:
  PDF
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/23711/dot_23711_DS1.pdf
• File Type:
  [PDF - 1.05 MB]
• Collection(s):
  University Transportation Centers ; US Transportation Collection
• Main Document Checksum:
  urn:sha-512:1b2b696269421ab1022e84f475fd6819e16d68bf85613f2849c40ccd556e42ab31c59238133259b38b5200f62ca14e5a052ea60fa4157dbe1ef5a1e83385ad28