EVALUATION OF MANAGEMENT MEASURES TO REDUCE GASOLINE QUEUES AT SERVICE STATIONS: A SIMULATION APPROACH

An analytical simulation model is developed in this study to evaluate gas-line management measures during interruptions in fuel supply. In the model households, vehicles, and service stations are assigned certain attributes to be compatible with their reql-world counterparts. Travel activities by vehicle are stratified by trip purpose and simulated on a day-by-day basis. The next-event method is employed to simulate vehicle refilling activities, which takes a microdynamic view of the queueing system at service stations. A sensitivity analysis is conducted for two types of panic behavior during an every crisis--topping off the tank and arriving early at the gas station. The results show that early arrivals lengthen the waiting time. To prevent this panic behavior, a so-called scattered-refill schedule is proposed. Three management measures are evaluated by the model to determine their effectiveness in reducing wait time per gallon of purchase under a hypothetical 20 percent supply interruption: the odd-even plan, maximum-minimum purchase requirements, and the proposed scattered-refill schedule. The results show that the maximum-minimum plan is an adequate one to prevent tank toppers and the scattered-refill schedule is an effective one to prevent early arrivals. The odd-even plan, although easier to put into effect, is not an effective gas-line management measure.

Media Info

  • Media Type: Print
  • Features: Figures; References; Tables;
  • Pagination: pp 12-19
  • Monograph Title: ANALYSIS OF ISSUES IN ENERGY PLANNING AND ENERGY MODELING
  • Serial:

Subject/Index Terms

Filing Info

  • Accession Number: 00386798
  • Record Type: Publication
  • ISBN: 030903650X
  • Files: TRIS, TRB
  • Created Date: Aug 30 1984 12:00AM