Journal ArticleDOI
Perception updating and day-to-day travel choice dynamics in traffic networks with information provision
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TLDR
A Bayesian updating model is developed to capture the mechanism by which travelers update their travel time perceptions from one day to the next in light of information provided by Advanced Traveler Information Systems (ATIS) and their previous experience.Abstract:
A Bayesian updating model is developed to capture the mechanism by which travelers update their travel time perceptions from one day to the next in light of information provided by Advanced Traveler Information Systems (ATIS) and their previous experience. The availability and perceived quality of traffic information are explicitly modeled within the proposed framework. The uncertainty associated with a driver's travel time estimate is modeled in a stochastic dynamic framework and is incorporated in a travel choice model. Each driver uses a disutility function of perceived travel time and perceived schedule delay to evaluate the alternative travel choices, then selects an alternative based on the utility maximization principle. The perception updating model and the choice model are integrated with a dynamic traffic simulator (DYNASMART). Empirical results from the simulation experiments and their implications are also presented.read more
Citations
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Dissertation
Network knowledge and route choice
TL;DR: Ben-Akiva et al. as discussed by the authors presented evidence that a majority of travelers fail to minimize travel time or distance, and showed that travelers with more network knowledge appear to vary their commute route to respond to changing travel conditions.
Journal ArticleDOI
Joint Strategy Fictitious Play With Inertia for Potential Games
TL;DR: The convergence of JSFP to a pure Nash equilibrium in congestion games, or equivalently in finite potential games, when players use some inertia in their decisions and in both cases of with or without exponential discounting of the historical data.
Journal ArticleDOI
Use and Effects of Advanced Traveller Information Services (ATIS): A Review of the Literature
TL;DR: In this article, a review of contemporary conceptual ideas and empirical findings on the use of travel information (services) and their effects on travellers' choices is presented, integrating behavioural determinants such as the role of decision strategies with manifest determinants, such as trip contexts and socio-economic variables into a coherent framework of information acquisition and its effect on travelers' perceptions.
Journal ArticleDOI
Travel information as an instrument to change car- drivers' travel choices: a literature review
TL;DR: In this paper, a review of more than 15 years of literature concerning the use and effects of travel information among car-drivers is presented, and a number of generic, integrative insights are derived, including the following: it appears that our expectations with respect to the effects of information provision on travel choices in general may be mildly optimistic, particularly for behavioural changes not involving changes in mode-choice.
Journal ArticleDOI
Do People Use the Shortest Path? An Empirical Test of Wardrop’s First Principle
Shanjiang Zhu,David Levinson +1 more
TL;DR: It is found that current route choice set generation algorithms do not reveal the majority of paths that individuals took, and these findings may guide future efforts in building better route choice models.
References
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Book
Discrete Choice Analysis: Theory and Application to Travel Demand
Moshe Ben-Akiva,Steven R. Lerman +1 more
TL;DR: In this article, the authors present the methods of discrete choice analysis and their applications in the modeling of transportation systems and present a complete travel demand model system presented in chapter 11, which is intended as a graduate level text and a general professional reference.
Journal ArticleDOI
Behavioral decision theory: processes of judgment and choice
Journal ArticleDOI
On Stochastic Models of Traffic Assignment
Carlos F. Daganzo,Yosef Sheffi +1 more
TL;DR: The proposed model seems reasonable and does not exhibit the inherent weaknesses of the logit model when applied to sets of routes which overlap heavily, and two techniques can be used to approximate the link flows resulting from the proposed model in large networks.