Title

Modeling travel time under ATIS using mixed linear models

Authors

Authors

M. Abdalla;M. Abdel-Aty

Comments

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Abbreviated Journal Title

Transportation

Keywords

ATIS; link choice; mixed linear models; repeated observations; travel; time; DEPARTURE TIME; INFORMATION; CHOICE; ROUTE; Engineering, Civil; Transportation; Transportation Science & Technology

Abstract

The objective of this paper is to model travel time when drivers are equipped with pre-trip and/or en-route real-time traffic information/advice. A travel simulator with a realistic network and real historical congestion levels was used as a data collection tool. The network included 40 links and 25 nodes. This paper presents models of the origin-to-destination travel time and en-route short-term route (link) travel time under five different types and levels of advanced traveler information systems (ATIS). Mixed linear models with the repeated observation's technique were used in both models. Different covariance structures (including the independent case) were developed and compared. The effect of correlation was found significant in both models. The trip travel time analysis showed that as the level of information increases (adding en-route to the pre-trip and advice to the advice-free information), the average travel time decreases. The model estimates show that providing pre-trip and en-route traffic information with advice could result in significant savings in the overall travel time. The en-route short-term (link) travel time analysis showed that the en-route short-term (link) information has a good chance of being used and followed. The short-term qualitative information is more likely to be used than quantitative information. Learning and being familiar with the system that provides the information decreases en-route short-term delay.

Journal Title

Transportation

Volume

33

Issue/Number

1

Publication Date

1-1-2006

Document Type

Article

Language

English

First Page

63

Last Page

82

WOS Identifier

WOS:000233871800004

ISSN

0049-4488

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