TRB Pubsindex
Text Size:

Title:

Customized Pretrip Prediction of Freeway Travel Times for Road Users
Cover of Customized Pretrip Prediction of Freeway Travel Times for Road Users

Accession Number:

01014809

Record Type:

Component

Availability:

Transportation Research Board Business Office

500 Fifth Street, NW
Washington, DC 20001 United States
Order URL: http://www.trb.org/Main/Public/Blurbs/156722.aspx

Find a library where document is available


Order URL: http://worldcat.org/isbn/0309093902

Abstract:

One objective of the Department of Transport (DoT) in the Netherlands is to provide better information to road users about the traffic situation on Dutch freeways. The idea was put forward to use existing historical freeway inductive loop data to predict a customized pretrip travel time for road users. To investigate the feasibility and usefulness of that idea, DoT launched the AIDA project. A prototype database was constructed; it contained almost 2 years of travel time data for all Dutch freeway road sections with inductive loops. A statistical algorithm was designed to compute the average travel time for any freeway journey on any future date and time. An Internet trial application was built to test the database and algorithm. Accuracy of the travel time predictions was evaluated with independent loop data. The usefulness for road users was investigated with an online survey. Results show a good match between the predicted and actual travel times. Only in 10% of analyzed cases did the actual travel time exceed the predicted travel time by more than 5 min. Of 161 respondents, 50% indicated that they found the information useful. Furthermore, 22% indicated that they would consider a different departure time on the basis of AIDA information. Thus the project has shown convincingly that the AIDA concept is not only feasible but also useful to road users. Presently DoT is looking into the uses of the concept for road users and possibly also for traffic operators.

Monograph Title:

Data Initiatives

Monograph Accession #:

01014803

Language:

English

Authors:

Wouters, Jacorien A A
Chan, Kin-Fai
Kolkman, Joost
Kock, Rutger W

Pagination:

pp 28-36

Publication Date:

2005

Serial:

Transportation Research Record: Journal of the Transportation Research Board

Issue Number: 1917
Publisher: Transportation Research Board
ISSN: 0361-1981

ISBN:

0309093902

Media Type:

Print

Features:

Figures (8) ; References (5) ; Tables (2)

Geographic Terms:

Subject Areas:

Highways; Planning and Forecasting; Society; I72: Traffic and Transport Planning

Files:

TRIS, TRB, ATRI

Created Date:

Dec 23 2005 3:12PM

More Articles from this Serial Issue: