ROUTE CHOICE AND INFORMATION USE: INITIAL RESULTS FROM SIMULATION EXPERIMENTS

Computer-based simulation experiments were designed and conducted utilizing 100 regular commuters from the Sacramento, California region. Computer-based simulation was used to create a hypothetical traffic network and as a tool for collecting dynamic route choice data. Dynamic route choice data under the influence of incident information, en route guidance, pretrip guidance, and congestion information were collected for a sequence of 20 simulated trial days for each participant. A fractional factorial experimental design was used in the experiment. The experimental treatments included the type of information that subjects received, as well as personal characteristics of the subjects themselves. An analysis of the experimental treatments on subjects' accuracy perceptions, information effects on travel decisions, and consumer demand and information system valuation was performed utilizing analysis of variance and regression techniques with corrections for heteroskedasticity. Study results were compared with previous survey and simulation research. The findings indicate that there are significant differences between the individual characteristics that influence drivers' preferences about how they receive information and the characteristics that influence drivers' travel choices in response to receipt of such information. Results from the experiment indicate that incident and congestion information types were the most important in influencing subjects' route decisions. The findings also indicate the importance of having incident information available to drivers, and that this importance is reinforced by the availability of route guidance information. Descriptive information such as incident locations and congestion levels can provide a strong rationale for compliance with prescriptive information such as route guidance.

Language

  • English

Media Info

  • Features: Figures; References; Tables;
  • Pagination: p. 61-69
  • Monograph Title: Intelligent Transportation Systems
  • Serial:

Subject/Index Terms

Filing Info

  • Accession Number: 00715672
  • Record Type: Publication
  • ISBN: 0309062071
  • Files: TRIS, TRB, ATRI
  • Created Date: Jan 26 1996 12:00AM