M
Moshe Ben-Akiva
Researcher at Massachusetts Institute of Technology
Publications - 468
Citations - 34389
Moshe Ben-Akiva is an academic researcher from Massachusetts Institute of Technology. The author has contributed to research in topics: Travel behavior & Traffic simulation. The author has an hindex of 84, co-authored 456 publications receiving 31805 citations. Previous affiliations of Moshe Ben-Akiva include Northeastern University & Northwest Airlines.
Papers
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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.
Book ChapterDOI
Discrete Choice Methods and their Applications to Short Term Travel Decisions
Moshe Ben-Akiva,Michel Bierlaire +1 more
TL;DR: In this paper, the authors focus on short-term travel decisions such as choosing a destination for a non-work trip, choosing travel mode, choice of departure time and choice of route.
Journal ArticleDOI
Hybrid choice models : Progress and challenges
Moshe Ben-Akiva,Daniel McFadden,Kenneth Train,Joan L. Walker,Chandra R. Bhat,Michel Bierlaire,Denis Bolduc,Axel Boersch-Supan,David Brownstone,David S. Bunch,Andrew Daly,André de Palma,Dinesh Gopinath,Anders Karlström,Marcela Munizaga +14 more
TL;DR: In this paper, the authors discuss the development of predictive choice models that go beyond the random utility model in its narrowest formulation and incorporate several elements of cognitive process that have been identified as important to the choice process.
Journal ArticleDOI
Activity-based disaggregate travel demand model system with activity schedules
John L. Bowman,Moshe Ben-Akiva +1 more
TL;DR: An integrated activity-based discrete choice model system of an individual's activity and travel schedule, for forecasting urban passenger travel demand, using a 1991 Boston travel survey and transportation system level of service data.
Journal ArticleDOI
Dynamic network models and driver information systems
TL;DR: The paper presents the structure of a dynamic model in which newly acquired information may affect pretrip and en-route travel decisions, and the potential magnitudes of the effects that were identified were identified.