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.
Modeling Travel Time Under ATIS Using Mixed Linear Models. Available from: https://www.researchgate.net/publication/227334358_Modeling_Travel_Time_Under_ATIS_Using_Mixed_Linear_Models [accessed Jan 4, 2016]. |
